00:00So again, I think the movement disorders have been the lower hanging fruit. And I think for us to make precision psychiatry therapies, we will need that coverage. We will definitely need networks. We will need lots of nodes. A advisor had told me how to approach clinicians when I approached Mike and Kelly. There was a DARPA grant opportunity. I went to them and I said, look, I know how to do this. This is what I can bring to the table. Do you want me in? And they were very excited. And everything we've done after that, they've given me an equal seating at the table. They haven't treated me like a technician that would fix things for them. And I thought, okay, this is going to be okay. I'll present the work at engineering conferences and they can present it at clinical meetings. And every time they've organized clinical meetings, and they organize a lot, they said, Aisha, you're going to be the one presenting. And to these people to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to 01:28guest interviewer, and I'm Julian Neumann, assistant professor at University Hospital Charité in Berlin. And I'm going to interview Aisha Gur Gundus. She is an associate professor at the University of Florida and recently appointed fellow of the American Institute for Medical and Biological Engineering. Aisha is a visionary and pioneer in the application of deep brain stimulation algorithms and development of neurotechnological solutions for symptom detection and implementation of adaptive closed-loop DBS. 02:10Aisha, thank you so much for joining me today. You have led a landmark study with the implementation of a fully embedded system that can sense voluntary movement and treat tremor, independence, and resistance of demand. So can you tell us a little bit about the main results of the study? Sure, and thank you for having me and thank you for that kind introduction. So this was one of the first brain initiative projects that we attempted. We basically, I come from an engineering and neuroscientific background and my dissertation work was on patients with epilepsy and we really studied their motor system in hopes to maybe build an electrocorticoid graphic based BCI or BMI. And once this call came, I went to Kelly 03:03Food who was my neurosurgical partner and I said to Kelly, what do you think the low hanging fruit here is? Because he knows the disorders better than I do. And I told him, look, I know the motor system really well. I love electrocorticoid graphic signals like their signal quality is great they will be far away from the stimulation zone with that in mind what do you think is low hanging fruit and with that without a second he basically said intention tremor and essential tremor that's what we should go for so i can't say i'm the only brain child but through this you know again interaction between multi-disciplinary groups leads to these kinds of ideas so then the idea was that he described what intention or action tremor is to me he said these patients and their large population their large sub-population of people with essential 04:04tremor they don't experience tremor at rest but their tremor starts when they start a purposeful moment the sway of the tremor gets worse at their target so as if there is like if they're trying to pick something up and that also leads to the idea that the tremor is not a purposeful moment to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to the device that was available to the range of public-private partnership at the time. And we've had experience with active PCIe before, so we already had worked with two different 05:01clinical patient populations. And actually that's why I went to Kelly and not Mike, because the other two projects were Mike's idea and they were Tourette's syndrome, they were freezing of gates with on medication patients. So those were involved projects. So this one actually was, we really thought this would be the patient model to really show the feasibility and efficacy of a closed-loop DBS system. Yeah, so this was the study where patients that were monitored and yeah, subjected to deep brain stimulation of the thalamus for essential tremor. And you mentioned the corticostrips, so this is an ECOG electrode where you can get cortical brain signals, right? Right. And use them for an algorithm to decode something. Yes. How did that 06:03work together with the... So we started our recordings basically during the surgery, because again, these are investigation devices. So if we didn't see what we expected to see, we didn't know whether it was because we didn't place electrodes to the right place, or it was basically just that was too much to expect from this device. So once Kelly was able to implant, and we started unilaterally, so our whole project said, let's do this unilaterally because this is a feasibility study, so let's show that it can be done and not go all the way out. And so once he placed the VIM electrode, and then we also guided him as to where to place the cortical electrode. So he placed it. We did some recordings. We asked the patient to open and close their hands. 07:02Our control condition is always puckering of their lips because the hand is close to the face area, but if placed well, we shouldn't be capturing any activity when they're puckering their lips. So. So the cortical strip looked like it was well placed, and then obviously they closed it up, and then a month later, the device was implanted. As for the biomarkers, again, just because we've known the motor system through electrocardiography in epilepsy populations for many decades, we were basically expecting event-related desynchronizations in the beta band with hand movements, both ipsilatic, and contralateral. We've already known that from epilepsy patients. Only with contralateral hand activity, we were expecting this broadband high gamma activity on the cortical strip. And during the intra-op recordings, 08:01we actually saw that that event-related desynchronization that I explained was exactly there in the VIM as well. So my first reaction was like, whoops, did we just put a cortical strip for no reason? And then when the activity, we saw that the VIM was not there. So we were expecting this broadband high gamma activity on the cortical strip. And then when the DC plus S was connected, we actually couldn't get any of the high gamma. So that basically told us that the device did not have the signal-to-noise ratio to capture high-frequency activity. And we said, that's fine, because we already have low-frequency desynchronization. We can definitely base it on that. Funny enough, once the stimulation engine was turned on, even at zero-volt outputs, the VIM signals were obliterated. So I was like, whew, thankfully we have a cortical strip. So, and then again, because I'm an engineer, we're careful. We did three months of recording straight out to make sure we had enough statistical significance on the feature that we've selected. 09:02And that also kind of, you know, we also wanted to make sure it was stable enough rather than jumping it on month one. So by month three, we were able to achieve cortical-based stimulation on all of our devices. All of our three Activa PC-PosS subjects. And this is this study that we were able to publish in Science Translational Medicine. But after our third subject, Medtronic actually switched to another device. They stopped producing that PC-PosS. So now we're working with their second-generation device, which although, you know, at first we complained, because it had a learning curve involved. But now we're like, okay, we're learning something else. And then we have the opportunity of comparing devices. And so forth. And we're still learning a lot from that device. We recently published a multi-site study in General Neural Engineering. So this involves Tim Dinsen at Oxford, Phil Starr at UCSF, 10:02and as well as Helen Brown-Stewart at Stanford. That's great. And this first study really showed the potential of your work. You basically showed, to sum up that instead of having to stimulate for the entire period, when like conventionally, like conventionally the stimulation is always turned on, you showed that this is not necessary, that you can stimulate only when it is required. And this reduced the stimulation time by about 50%, if I recall correctly. Yes. Yes. And with the same clinical effect. Yes. With the clinical effect as measured, we have a very high rate of stimulation. And we have a very high rate of stimulation. And these are measured by the tremor rating scales. This is a video based rating scale. They do several tasks on this. So we had them to it on each day of when we did assessments with DBS off with Oval Dew Dew Dew Dew 11:00DBS and closed loop DBS. And then we give this to a movement disorders fellow, you know, a doctor that has done their fellowship in movement disorders, and we don't let them know which condition is which. So they give us the scores and then we uncover it. So the scores of open loop and closed loop were significantly reduced from the off condition and definitely very significantly reduced from their baseline, you know, their pre-operative rating score. So yeah, obviously we were delighted. Yeah. So that is really great. I think it's also important what you mentioned regarding the utility of the different signals, because you already said that there was an additional electrode that would not conventionally be implanted if not for the use for closed loop adaptive DBS. And for the patient, it may be, you know, the patients may be hesitant to agree to get 12:05an additional electrode. To be clear, it's not penetrating the brain, this additional strip, it's laid on top of the surface. And it's placed through the burr hole that they make to implant the depth electrode. So there's no other burr hole, there's no other incision to be made. Yeah, obviously they stitch its end so that it doesn't move. But they do do a, you know, local anesthesia for, you know, any incision to the drum or can be felt by the patient. So they definitely do an anesthetic there. But in your study, you show that to really move forward with such responsive algorithms, it can be... So it's not a huge benefit to have such an additional electrode? 13:01Yes, I think so. And again, if they, we can use the same incision and the same burr hole, that's the added risk becomes much more minimal. Yeah. And obviously, we do a lot of imaging and so forth, when they know they have to push it if there are any kind of, you know, vessels or anything like that. Yeah. So, if they have a lot of blood in the blood vessel, they can just do a little bit of an X-ray or anything, they will change the angle that they would, you know, they would change their surgical planning. Yeah. So another important benchmark that you set was the fact that it all went on in a fully embedded fashion, and you could follow up the patients over months. So this is, there's no other study that I know of that has accomplished this. And I think it regards to the Yeah. the the the the the the the the the the the the the the the the the the the 14:00the the to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to So stewards groups have done this in Parkinson's. So I'm not going to take the whole credit. Okay. So I wasn't aware that there is long-term DBS. Definitely, or I would say probably not with brain state prediction. So that is what you did. So that's one thing I think that differentiates our studies from the Parkinson's studies. So with Parkinson's, there is a pathological rhythm that has been shown and replicated in many places. Whereas, you know, it's high, then they take their medication, it suppresses, it's there, then they deliver electricity and it again gets suppressed. 15:01And obviously it's... That pathological rhythm always correlates with symptoms, patient symptoms as, you know, detected by wearables or, you know, as observed by a clinician. What we are doing is something different where we are really understanding what this disorder is. It's basically, okay, in this case, they don't rest. They don't tremor at rest. They're only tremoring when they initiate a movement. And it... They initiate a purposeful movement. So here, our goal is to detect their intention to make that movement. And because we want to go a little bit more pre-mortar, we want to capture this as soon as we can so that we can ramp up the stimulation. And at not very fast enough rate that... Because fast ramps can cause prosthesias. But then at a slow enough rate that, you know, it's still kept... 16:00Kicks in fast enough. To suppress the tremor before happening. And then they can do that purposeful movements, you know, smoothly. Yeah. So that is really fascinating. So basically you're decoding an ongoing behavior in the patient. And you're using this classification output from the decoder to inform your stimulation algorithm. Now, the study only had three subjects. That's the limitation. So... And I can fully understand that how much work it was to do this and perform. Yeah. We were lucky in the sense that we were able to publish with those three subjects because the next generation device was going to take a long time to come. So we did convince the editor that, hey, like, you know, we can add more subjects, but first, 17:01they will receive a different device. So there's going to be this inhomogeneous population. And, you know, we're working on relative prevalence. We're also learning how to program this device because, I mean, it has a lot of flexibility. It's just that you still have to learn to use it. So we said, like, we really can't do our next subject within nine months. So... And we also, you know, listed some papers that they had published with Ns of two or three. So we did convince them to get it out. But according to our public-private partnership with Medtronic, so we had, say, N of 10. So we are receiving seven RC processes. We have three of them, four of them implanted. 18:01We will also implant another three. So I'm looking forward to the results of that. Yes, we recently got also approval to do home recordings. So I know people have been very impressed with Phil's work. Phil Starr's groups work with this. It's just that they had received a technology dissemination grant. So they knew the capabilities a bit more than us. And they also have the funding to do all this. Like, we never had funds to do home visits. So that's why we're a little behind. But now we're definitely interested in seeing what's happening during ZoomLeap. And I think that would be the minimal thing that we would ask for from them, because I really think them having them record themselves 24-7 is a bit much to ask. But we, our first thing, we will ask them to put the, you know, the Bluetooth receiver by their nightstand and record during that. 19:06The device has an internal inertia sensor. So we can see how much they're tossing and turning. We could possibly add an Apple Watch too. But the goal is to show that, you know, when we sleep, our brain rhythms slow down. So if the beta is slowing down during sleep, is that causing these, you know, stimulations? And is that waking up the patients? So that's one thing that we would like to see. But Phil's group had recently published something that shows that there are low rhythms that go up. So our fast rhythms slow down, but our slow rhythms actually increase in amplitude. So if we show that, then we could actually have another classifier that says, oh, they're sleeping now. 20:00So by no means turn the stimulation on. So those are the two steps. That's fascinating. So as a next step, you make use of the advanced technology that you have available now and you want to follow the patients home and see what the algorithm does that you have previously tested in the clinic while the patients are at home and following their normal routines. So this is something that is generally always overlooked, that a lot of the studies are just reporting few minutes of recording time or investigation time only in a clinical setting. Yeah, when they come to us, they stay for two to three days of study involved along with their clinical assessments. So we do send them to their hotel, which is nearby the campus. And we ask them, we ask them how you slept and so on and so forth. 21:03So we have had some natural, you know, we have sent them out in the world. But I mean, again, the most excited I am about the home recordings is to discover what's happening in sleep. That is super interesting. The rest will be the cherry on top, but then the rest might be asking a bit much from the subjects, honestly. Whereas having them try to have it record while they're sleeping is just would be they just have to put the receiver by their nightstand and then just sleep. Hopefully. OK, so I think we can already see that there is still an investigation going on. This is not a perfect treatment just yet. What is your translational vision for this? 22:01We still have issues with stimulation artifacts. So obviously, you know, my first scare saying that, oh, we didn't need this cortical strip was unfounded just because of these artifacts that show up on the same on the depth channel. So if you're trying to record and stimulate from the same electrode lead, the companies still have a way to go on this, even with RC pluses, though it has some artifact rejection hardware in there. So it allows for active recharge, which does this. They've sent me the schematics, but I can't disclose too much. But it really actually flips a hardware switch to remove the common mode from leaking into the rest of the circuitry. And we've seen it. And I think that's actually now with the subject where depth based 23:01close loop is working, it actually didn't work for one month or two. So now we're trying to get to the bottom of that as to why that is happening. Our first, obviously, initial thought was placement of the electrodes. But when we went through all of them, we went through it with our surgeons. We've eliminated that that's the case. So someone was saying, what about the tracks? Maybe they're a chart. But then we also said, OK, let's do maybe volume of tissue activation to see if because I never thought track activity could change the signal. Like I can understand the tracks being present can change the outcome of the stimulation. But I never thought when recording the fact that there are tracks there, like would they really affect our recording? So now we're going to do some tissue stimulation and then we're also tracking the impedance. 24:00We are meeting with Medtronic right after you. I just want to better understand how they're doing their impedance measurements. And once we we've been doing both bipolar and monopolar impedance measurements, we just couldn't figure out how the bipolar like two monopolar is converted to their bipolar that they, you know, spit out on their screen. So I just wanted to get a bit more insight into that. Because obviously impedance mismatch between your bipolar channels that you're recording from can, you know, over time change the signal. Yeah, sure. So this inspires me to another question. Given that you are always aiming to innovate neurotechnology, what do you think are the tools that are missing at this time or are there any things that you would wish for in terms of devices or algorithms that you currently not have available? 25:04Again, I would definitely would love the devices to be have higher signal to noise ratios, especially for the higher frequencies. If we are to continue using the cortical strips, I would love the artifact, the stimulation artifact removal circuitries to be improved. And with the Activa, we actually had a Nexus D distributed system. So it would allow us to stream the data on a computer. And it would also allow the computer to tell the stimulator to turn on and off. So they call this a distributed system. For instance, this percept doesn't have that right now. So I would love to see a distributed system on the percept. I think they said they're not going to do that until they have a rechargeable percept. And they said that's coming. That's coming down the line. The active recharge, if it really is there for artifact removal, 26:04that should be put up in all the devices. But again, because of that, the devices will need to be rechargeable. What about channel count? So now, theoretically, we could have high density strips with hundreds of channels. Do you think that would help or... So, yes, at least now almost every company has their directional leads. That's very exciting to us in the ET domain because then we can definitely turn the stimulation on faster and avoid any kind of side effects of that amplitude going up so quickly. So that's exciting. And then we had an intra-op study where we showed that there's coupling in the VIM and the motor cortex, but there wasn't coupling with the VIM and the primary cells. So now we would also like to see if with these directional leads, we can actually capture the sensory part of the thumbs. 27:02And then if we could show that and detect the motor part and then have a strip that's covering both the motor cortex and the somatosensory cortex and see if there's coupling that way. So yeah, we're excited about the directional leads. But yeah, again, just having... Okay, and then you were talking about lots of channels. So I think psychiatric disorders might need this because, you know, again, adaptive DBS has so far been implemented successfully in movement disorders. So we've implemented in Tourette's and we really just focus on the motor tics because those are the easier to detect. We are not tracking whether this is improving obsessive-compulsive behavior, which is a big concern. So morbidity in Tourette's. So again, I think the movement disorders have been the lower hanging fruit. 28:03And I think for us to make precision psychiatry therapies, we will need that coverage. We will definitely need networks. We will need lots of nodes. So I'm not saying each node has to be, you know, a huge channel count. Like the depth electrodes, I think, with the... sensory, the direction leads, I think we already have good enough coverage for those. But if we are to understand, and obviously, psychiatric disorders are complicated, and they will need like prefrontal cortex coverage in that case. Yeah, those ECOG grids will have to be a bit large. But then again, I think the way we approach to that is, we need to understand some disorders, like their network signs. If it's already improved, 29:03then we can justify why we need to put these things in there. Yeah, I completely agree. I think people should be interested. Yeah, the listener review is definitely needed. Yeah, I agree. So I believe that the listeners would be interested to hear about your tick detector and your work that you did on Tourette's syndrome. Yeah. Yes, with Tourette's syndrome, when we were in the room, so it was me, Mike and Kelly, Mike O'Quinn is our neurologist, Kelly Foote is our neurosurgeon. They turned to me and they said, Okay, so where are we going to put these strips? I was like, what? I was an assistant professor at the time. And because Mike was saying, well, they have these premonitory urges, and maybe the sensory area. And then there's like, you know, so many obsessive-compulsive disorders, maybe prefrontal area. And I said, Whoa, whoa, whoa. So this is a four contact strip. 30:01And you're telling me the prefrontal cortex, which is huge. And I'm like, so like, can you show me something, you know, studies that have been done? And they're like, no, no one has done any studies like this. And I'm like, okay, assistant professor here who needs to get tenure. We're putting that strip on the motor cortex. Because if you're not doing it, you're not doing it. So I'm like, okay, I'm not doing it. If anything, we will be able to detect the involuntary movements of their lips. I'm like, there's... Yeah, we can't do a moonshot here. So and hence we call it the tick detector because the electrodes were placed on places for which we could detect the ticks. So the common target for DBS therapy for Torres syndrome is the central median paracordia. And the central median paracordia is the central median paracordia. physical complex of the sounds and again mike is always very ambitious so they did bilateral 31:02implants of that and all of these all four electrodes were implanted the same day because torres patients are a young population um so our first patient was 24 26 um and she was playing a word game so she was okay uh so the cortical strip so my kelly had never done this before and i said hey i need to do some experiments to make sure they're in the right place so in my postdoc lab we had this algorithm that was dubbed sick free it's signal processing for something something but uh my uh my postdoc advisor was uh austrian so it had to have a germanic name um so what we do is real-time functional mapping through capturing of that high gamma activity that i mentioned before so high gamma activity is very spatially localized very functionally localized 32:01and that makes sense because you know high frequencies don't travel long distances and uh so what we have the patient do is open and close their so we first record like three minutes of baseline data we create a mixed a gaussian mixed uh mixed model out of that then we ask them to open and close your right hand rest open and close your left hand pucker for us you know they just have to blow kisses uh and what the algorithm does is it finds the distance of now the distribution that we've collected while there's saying doing a hand movement distance of that from that model the farther it is to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to 33:18the hand motor area um so that was kind of a functional localization of yeah we call it uh you call it passive real-time functional method super cool so i i think it's really fascinating what's what you say also that you you're using these brain signals that are essentially brain waves so there are waves of activity in different frequencies and for the motor part the these very fast waves they don't travel very far and that means you have a lot of spatial specificity to with regard to your movement and you looked at hand movements and um 34:05could decode them very well but what happened the ticks okay so what happened with the ticks um so and in the cm thalamus with with voluntary movement nothing would happen so it was kind of flat uh but then uh because the patient was in a very secure place and she didn't have violent neck ticks we asked her can you just let it all out you know can you tick for us uh and she did uh and what we saw uh was interesting i did it in her cnps uh and then i didn't want to say anything to that everyone then so we took the data back and we analyzed the hell out of it the involuntary uh ticks looked in on the motor cortex looked exactly the same as the water so there was no way that we could differentiate 35:02whether something was voluntary or not um but then uh the cm file was that was completely flat for voluntary movement all of a sudden showed these into a tool spike like activity and we were like okay so definitely people are going to say these are movement artifacts but the subjects uh so head was mounted so it was in the interrupt condition and all the cables were back there so there's no way she could have shook any of those cables uh but then later when she moved to her chair to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to 36:11left on my right so it would be on my right cm but the activity was on the left cm so that way we were able to ensure people that this was not an artifact and this was a physiological thing that was happening and you could use that to decode the presence of ticks yes but because this was the pc plus us uh we just still couldn't use the thalamic signal uh then again being engineers what we ended up doing is that um uh again in the motor system there's something called beta bounce so when you do movements your beta decreases but then when you suddenly stop your beta rebounds so you capture this short boom boost of beta we actually had to track those um to say that there was a tick happening so that meant that it was a little slower uh but just 37:07psychologically technically we couldn't use the uh steps uh but now that we have rc plus us in these patients it's all thalamic based super cool so but previously you did you use the distributed system again distributed uh i mean we always use a distributed system at the beginning just to you understand things uh but our biggest uh impact with a distributed system was to actually have a separate project with at uh because everyone was saying these are movement disorders why do you need the brain why don't you just put some wearable sensors on them and we always put wearable sensors to track their symptoms anyways and i'm like oh god okay we do have this nexus d and then we talked to metronic and they said oh yeah that nexus d can talk to any 38:00active uh device like you can it can communicate with it with a you know firmware upgrade and you know a computer can tell it to turn on and off okay we needed to get another ide for this um but um so that way my students stephanie sarner now dr sander she's a postdoc in phil stars lab um she recruited activa's subject so she could recruit people with active pc active sc active rc uh and she actually also had them do some speech tasks because we always say you know uh open causes blur you know slurring of words whereas the clothes of wooden like she also did that so she's final hopefully somebody gets it um but yeah i think that was the biggest impact of the distributed system because now based on the wearable sensors and we decided to use emg rather than inertia so our sensors are able to collect both but we figured the muscle activity was going 39:05to happen before we could use the wearable sensors so we decided to use the mg rather than inertia so 38:57our sensors are able to collect both but we figured the muscle activity was going to happen before we 39:07could use the mg rather than inertia so we decided to use the mg rather than inertia so we figured the big inertia happens anyways uh and uh so she based it on the muscle activity and she was also able to develop a closed system that way that basically showed that uh yeah her trs outcomes were equivalent to open with trs outcomes so that uh that is a perfect point to ask you um what do you think has more future brain signal based close-up systems or variable based to those systems to these systems to these systems to these systems 40:07a wand on top of their device that could tell. I can't see this being translated into a natural environment easily. If it is to do so, then the implants have to talk to the wearables directly. That creates a communication channel, which always creates security issues. Or is someone going to hack into this network? And the other thing is, it's going to require a lot of energy. So you're going to need to have a system that works. It doesn't require for them to make it work. 41:05If you have every additional wearable or device that people need to carry, need to recharge, it's a burden for the day-to-day. Oh yeah, then the sensors will have to be recharged too. So I think... My wish from Santa would be that device companies resolve this artifact issue and that we could work with them. Hopefully, especially for the movement disorders, we could just have the therapeutic electrode there and we can implement it from all. Obviously for psychiatric disorders, I think we're going to need a nodal analysis. We are going to need to cover a large area of the network. Yes, so I completely agree. That is a great conclusion on this topic. I want to touch on the security issues that you mentioned. So these therapeutic devices become more and more 42:05advanced and of course they could be attacked, but also the data collection itself from researchers and clinicians is more and more advanced and covers more and more data. So what are your opinions on this, for example, with regard to data privacy issues and what is the content or information that you can get from these brain signals? Do you think that is... too invasive from a data policy? I think the biggest security issue if someone hacks into this and they just turn off the therapy or they mess with the therapy parameters, that's my big largest concern. In terms of data privacy, I think we've been doing this for a long time that we de-identify things in an organized manner. And honestly, looking at a brain signal, you have no idea who it could be. 43:04You can't get to these information to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to these people to And, of course, more and more companies are trying to sell devices by saying that they read and write brain activity and things like that. But from a research point of view, we are quite far away from understanding exactly what such a brain signature means. We can just do statistical analysis on that. 44:00So I agree with Aisha here that there isn't a lot of data privacy reached through brain signal recordings. But, of course, that should be up to the patient to decide in the end. So I would like to say here in general that engineers like you are really needed in this field. And the field of deep brain stimulation is still dominated by medical doctors. But for the advancement of neurotechnology, we really need more brave people like you who are willing to dive deep into this clinical world and do translational work. And you have not only conquered one clinical world, you have also worked in epilepsy before. And you dare specifically the epilepsy monitoring unit, which is quite, you know, intensive care unit kind of. 45:00Environment that can be intimidating. So how did you grow into this interdisciplinary challenge that you faced as an engineer? Yes. So as an engineer, I was in a machine learning group. And my advisor, Dr. Joseph Principe, is very world renowned. He's an IEEE fellow. He just became a AAAS fellow this year. So people would throw data at him. And that's how I got the data. And I did a lot of research on my dissertation. And it just started bothering me. Like there would be something in the data that looked a little funky and I had no idea what it was. So I was like, okay, I need to, I want to collect my own data. I want to ask my own hypothesis. I need to design my own experiments. And hence, that's why I, for my postdoc, I went to join Dr. Gerenshoff's lab at the Wadsworth Center. And they collaborated with Auburn Medical College. So my appointments were with both. 46:00Dr. Schott taught me how to approach clinicians, how to show your value to the team as an engineer. So I definitely learned a lot from him. From Dr. Peter Brunner, who was actually just a PhD student when I was a postdoc. He was always way smarter than me. And they're both Austrians. And Peter is now a faculty in the neurosurgery department at WashU at St. Louis. And Peter showed me how to approach the nurses as well as patients, I would say. But no, he was like, okay, every time we go, we're going to take the nurses either pastries or fruit. The nurses are the key. They're the gatekeepers to the patients. So if we get them on our side, they will allow us to ask the patients, hey, are you up for to do some research? And then I also, through him, learned how to do some research. And then I also, through him, learned how to do some research. 47:00And then I also, through him, learned how to do some research. So when he was talking about the patients, he was really talking about the patients. So when he was talking about the patients, he was really talking about the patients. And our bread and butter was actually the patients. Family. Like once the family member gets excited about this, they will force the patients. No, you got to do this. So that was the kind of experience that I really needed to gain. So that's a lot of communication and appreciation of the environment. And I think not only. I mean. As you said, the nurses are extremely important for patient care. They know the patients and they do the valuable work, working with the patients all day, all night. So that makes a lot of sense to me. Also, the first student that I had once I became a faculty at UI family went to, you know, we had a consent of patients. So she and I went. And the first question she asked was, are you in pain today? 48:02Okay. And then, you know, after I pulled her aside, Amy, the patient had brain surgery. Of course, they're in pain, but you don't have to start our interaction that way. You can ask, hey, how are you feeling today? Or are you feeling better today? You know, it's just the simplest nuance that makes the difference. Which obviously they don't teach us in engineering school. Yeah, awesome. So how were your first encounters with neurosurgeons? Are there any anecdotes about that? So in Albany, the, our, the epileptologist was the big guy, like the neurosurgeon was way junior than him and the neurosurgeon would do anything he would ask him to do. Though there were some residents that one time were in the room and they came in. And they just, I don't know, they interact with the patient. They took the patient's snacks and they just asked me some, he, they treated me like as if I was a nurse and no, no offense to nurses. 49:07I think nursing is a very honorable job, but you know, I got that treatment because I was a woman. So we would call them assholes in training. You can beat that part out. Um, uh, funny enough. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. I actually had a very bad bicycle accident in March 2020, and I had to undergo brain surgery. And my brain surgeon was the chair of surgery, neurosurgery at UF. And just because my name is complicated, I guess the paramedics didn't get my name. So I was patient G on his list. I was patient G, and obviously I was all covered and stuff. 50:03So he cared for me in surgery. And after that, when he saw me, he's like, it was so good that I didn't know it was you on that table. And that made me think, okay, maybe these guys who we called assholes were like that because they actually can't, they shouldn't, you know, form a bond with their patients before the surgery because that could actually emotionally affect them. So now, you know, it's just you never think about. These things. So if I could say something, give people a chance. You don't understand their point of view. You don't understand where they're coming from. There might be a reason why they're acting the way they're acting, and it might actually be a very good and valid reason. Yeah, that makes a lot of sense. Were there any highs or lows in your role as an engineer next to an MD dominated world? 51:04In the clinic? Actually, I have to say, and, you know, just because I think how my postdoc advisor had told me how to approach clinicians when I approached Mike and Kelly, there was a DARPA grant opportunity. I went to them and I said, look, I know how to do this. This is what I can bring to the table. You know, do you want me in? And they were very excited. And everything we've done after that, they've given me an equal seating at the table. Yeah. Yeah. They haven't treated me like a technician that would fix things for them. And I thought, okay, this is okay. Like, I'll present the work at engineering conferences and they can present it at clinical meetings. And every time they've organized clinical meetings and they organize a lot, they said, Aisha, you're going to be the one presenting the work. So in that sense, I have been in a great environment. And my mother used to say, I think when I was in college. 52:04She told me, you know what, my dear, I know I never have to worry about you. I said, okay, well, what are we talking about? She's like, I've seen the way you choose your friends and you always surround yourself with good people. You're going to be fine. So I think in that sense, I've chosen my collaborators as well. So that is a great way to say that basically you were in a good environment. You were successful in this interdisciplinary environment, not only in one place, but in multiple places. So it can't only be the others. So, yeah, I have a way of choosing the right people. Okay, that's great. Are there any other recipes for interdisciplinary success? No, again, just try to communicate again. You have to sell yourself at some point. So just describe to the people what you will bring. 53:03And then. We actually started meetings right away. That was also a big part of the success. So they met with my students once a week. And that was good because at the beginning, my engineering students were very shy of asking stupid questions to the attendings. But then they also brought in their fellows and residents and then they weren't shy with them. So they started interacting with them, like trying to learn from them. And that was great. And that was great for the residents and fellows who really didn't have a lot of time for research, but they wanted to do research. So they told my students and we have a huge DBS data bank at UF said, hey, this is a really cool clinical problem that I was interested in. And you seem to have the skills of data mining. Let's take a look at this. And while I was writing all these regulatory protocol applications, my students started doing these things. 54:01And I was like, okay, I'm going to do this. I'm going to do this. And then they said to me to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to schedule anyways so you moved as an engineer into the clinical research world but that wasn't the only adjustment that you made you also moved from Turkey to DS how did that affect your career like are there any like is there still any take-home messages for international scholars who are interested in this journey so I just got motivated because all my other friends in college were 55:05applying at the time we didn't have any role models of people going to Germany for graduate school sadly I definitely would have preferred staying in Europe because my sister had already left for the Netherlands but again we just had role models or examples of people going to the States and we also had heard that the States gives you the teaching or graduate fellowships assistantships and we had never heard of that being done in Europe we basically said unless you're a EU citizen you have to pay a lot of money so that was I think a you know reason why I didn't go to Europe and I really wasn't too ambitious about it I just heard of where people had ended up and so I sent those applications in one place my mother is a math teacher so two of her former students had moved to 56:07North Carolina and they were at North Carolina State so I applied there too and that was the one that I heard back from the first and they were going to give me full teaching assistantship so they were going to cover all the tuition and would give me a stipend and my mom said like I would really feel you know like those kids would take care of you to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to get to work to So people turn political real quickly. People turn pro-war very quickly, even though we had no evidence of there was anything in Iraq. 57:09So I have to say I didn't enjoy my first year there. The second year became a bit better once I made friends. But I just wasn't comfortable in Raleigh. And then I was in a relationship at the time. He finished his PhD and he got a position, a faculty position at the University of Florida. And he said, hey, do you want to move down to Florida with me? And I'm like, OK, yes. And in fact, Gainesville, Florida is a liberal pocket. So it felt like a breath of fresh air. And I did my PhD in electrical engineering in Gainesville. And then obviously once I graduated in Gainesville, there was nothing else to do. I talked to some departments. The biomedical engineering department was very new. They said, well, if you leave, we would definitely consider you as an outsider. 58:02So that's what I did. And actually at some meeting, I ran to some neurologists from UF and they said, oh, what are you doing? You should come back. So they also wrote recommendation letters for me to go back. But I have to say, coming from Turkey, where we all live in big cities, I never thought I'd live in a small town in my life. I actually hate. Driving. I love public transportation. You know, we don't have enough of it here. So I do drive every day. And I didn't learn about American football for the first three years until I moved to Gainesville, Florida. And in Florida is a huge football school. But then I started watching. And once you can identify with a team and once they were doing so great. So they won the national championship that year. I was like, oh, that's not that bad. I can watch this. I can watch this. I can watch this. But I haven't watched it recently because we're doing terribly. 59:03And I don't think I've ever watched the Super Bowl from start to finish ever. Anyways. I'm just in for the halftime shows. So but yeah, it was an adjustment. It's funny because there's also these cultural things. One funny thing, like I was just walking through. I would see faces. And I would think I saw an old friend and I would get excited for a second. And then I would have to remind myself. That person isn't going to be here. And then we were at a party of some Turkish friends. And he had an American roommate whose sister had joined. So then I saw her on campus one day or maybe the next day. And I got so excited that I saw someone that I knew. I hugged her. That. Freaked her out. 01:00:00And that was the day I learned that Americans need their personal space. And I looked like a freak to her. And she was way younger than us. So I was like, oh, my God, this girl's now scarred. I hope you're still hugging people. Well, not during the pandemic, but yes. OK, so I think this is really interesting for so many people and definitely. Very interesting for me. But so beyond your accomplishments now as an engineer, as a DBS scientist, you are also an award winning advocate for diversity. Can you tell us a little bit about your work on that and your motivations? Yes. So my first PhD lab was run by a Portuguese PI. And I think I said he's very, you know, he's an IEEE fellow and so forth. And he always had a very international lab. 01:01:01We had one Portuguese student when I joined. So he joined at the same time as me. And my advisor never once spoke to him in Portuguese. He said this is an English speaking lab. Although we had groups of people from similar countries. He once said, you know, please speak in English with each other so that everyone understands and everyone can join in the conversation. And he we had this little area where there was a whiteboard. He wanted people to talk and learn from each other. And he always said, you're going to learn from the person that is so different than you, like those backgrounds experiences are so different. So that definitely made an impact. Obviously, being discriminated against during that. You know, IREC was a big part of that. Yeah. Yeah. Yeah. Yeah. Yeah. World War Parts also wanted me to tell, you know, you shouldn't be judging people so quickly. 01:02:05And then my postdoc lab also was quite international. Again, I had a European boss. And he would also have students from Europe or, you know, students from Asia and so forth. OK. There's a cat fight coming behind my laptop. OK. I have two cats. OK. OK. OK. OK. OK. OK. OK. OK. people. Thank you. And then when I joined UF as faculty, and I think throughout my lab experience, my undergraduate experience, I've never been discriminated against as a, you know, female. I've never understood this girls can't do math thing. I've never heard of it until I came to the States. My mother is a math teacher. So, and I always thought, hey, if I do my duty, if there's boxes to be carried, if I did my part, 01:03:00you know, people will accept me. And like, you know, I don't need to be a diva. So then my first year, I was invited to the Society for Women Engineers, you know, meet and greet with the faculty thing. So there were three female engineering faculty panelists. And this was the storm of girls of their, their, their, their, their, their, their, their, their, their, their, their, their, their, their, their first to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to talked about she had studied computer science in Turkey and she talked about how you know guys didn't want to be in groups with her when she was in groups and how much they would you know 01:04:03make fun of her or maybe use her as a secretary. Then the second person she was she's Thai but she raised was you know raised in Americas so she went to Georgia Tech as an undergrad and her major is chemical engineering and she was just talking about how hard it was because her female classmates would just drop out. They couldn't retain them so she was always trying to find herself. I'm like okay I gotta make new friends now because like all my friends left and then I'm just like sweating because I'm like I had no plans. I was just kind of like you know don't run like a girl you'll be fine. I just like tried to have these flashbacks of like what what was so different about my experience that I just never had to feel this way and one all my guy friends were awesome and that's because 01:05:03you know I was great at keeping friends and then it hit on me. We had undergraduate advisors that was that would be assigned to us based on our you know athletic ordering and stuff and mine was a full professor female faculty and although she and I never talked about women's issues either in engineering or society the fact that she was just there made me feel like yeah I can do this no biggie and she was actually the one that told me that I should apply to schools in America. She was like hey look you know every generation has to do a bit more than their previous generation that's how you know. So I basically just told the students that I think I didn't have these experiences because 01:06:01there's a saying said you can't be what you can't see and I actually saw that and hope and I said that I will in fact join this association for academic women that I had received invites for. I'm going to join this and I'm actually going to do it. So when we come to the bottom of this we need to work on how we retain females at the University of Florida. So yeah. Is it time? No I just said that's super interesting. I think for and I just wanted to say that now you have become this person. So you are inspiring people too. Yeah. And reflect allow new generations to reflect themselves in your uh yeah position in in your accomplishments you've been exceptionally successful as a scientist uh award-winning mentor and advocate 01:07:04for a better world and science and a role model probably for many many people i wonder whether this also puts you on a lot of pressure not only in terms of performance but also regarding the load with mentoring and committee work how do you cope with that yeah so again you know the efforts for diversity does take a lot of time but then you get these thank you notes and that's kind of rewarding so in a way the altruistic work is always self uh you know fulfilling as well um but then you also learn how to say no to things if something isn't of interest to you you just say hey i have i have this this and this going so i really can't commit to this like even if i said yes i'm not going to be that i'm not going to do a good job at it i think saying that's kind of like oh yeah yeah i'll find someone that will work better uh so that that kind of helps um in terms of pressure 01:08:06uh i mean being more success and being successful i don't think adds more pressure to you i mean obviously there might be more expectations uh like for you to perform better the next year and stuff but i just you know um i do my best um in terms of pressure actually the biggest pressure i get i feel is when i'm asked to talk about work-life balance okay those kind of talks stress me out because i don't have children all right so i feel like people always want to hear about how you manage your family life with things and i don't have children and because of that i've actually taken on more service because two of my younger females that were hired after me both you know became pregnant and had their kids throughout so 01:09:03every time there was this one thing one other thing that needed to be done i was like you know what probably i can do it um so i added that kind of pressure to me because and then every time i would get an award i would feel badly because you know they're they're struggling with two kids each and i'm i have all this time in the world because i don't have children but then there came a time where i was like okay i guess i should start dating now and dating in your late 30s actually takes a lot of time uh it's not easy it's not pleasant uh what i was looking for enough to find uh the right person for me yeah i i think this is very inspiring also for people like me um to actually um respect the amount of work and energy it takes to uh to be successful 01:10:00as a woman in science and having kids or not having kids in any case it is much more effort that is required to be there even and i feel that now the inequality for women in science is more obvious maybe than ever because the number of successful women on phd and postdoc levels are rising a lot but the bottleneck towards tenure is still much tighter for women yeah when we look at the higher positions of the associates and the full professors we're still behind on those and again those could be related to either familial duties or again women not having the confidence that men do say like, Oh, I'm probably not good enough. Let me work one more year to up these publications or get the next one more grant and stuff. So I think that's why it's important for mid career mentorship as well. That's, you know, 01:11:00people should be told that what they're doing is good enough. And if they're not on the right track, just give them advice on how they can get there. Yeah. I completely agree. I don't know any other things that we can do, especially maybe us men to fight that inequality. Yeah, no, I mean, I think you guys have invited a lot of female speakers, so that's important. So basically put the faces out there so that the next generation can see what they can be. So I think that's definitely if there's a panel, but you're invited and there are no females, you can ask, well, why can't we add this person to the panel? Or, you know, I don't need to be on this panel. This person could probably benefit being on this more. So like the last time I was asked to be on NIH panel, I asked them, cause that was the time when, you know, 01:12:00the fund black scientists movement was going on. I asked how many people on this panel I'd answer as you, or, and she was like, I can't tell that too. And, but then she said, if you have any suggestions, we're happy to take them. And then I gave them some names, but I said, all these names I'm giving you are junior white females. So I don't know whether that is considered your anymore. And she said, yeah, actually they're not. Okay. So now being a white female isn't enough. I mean, this is an effort to try to improve the situation for intersectionally disadvantaged groups, minority backgrounds and who suffer from discrimination because of their gender identity. So these people, of course, even have it much harder. Yes. Yes. 01:13:00So I'm like, okay, I'll, I'll try to make more friends that I can recommend. But the thing we made, we made, we made, Our marketing and communication specialist, so Black History Month in the U.S. is February and then Women's History Month is March. So she had already done this. We're celebrating this person, this person, this person. We obviously highlighted our three black female faculty and then come March, she's like, I just highlighted them. Should I also do them for Women's History Month? And I'm like, yeah, because they're getting twice the discrimination. So we should totally celebrate them. Yeah. So, but I think we shouldn't weight discrimination by its severity or how much impact it has because it's always horrible and bad. But I think one thing we should remember is that women are not a minority. 01:14:01They are a person of the population. Yeah, exactly. Everywhere in the world. So I think this should be like present all the time. This awareness. And I feel sometimes it's still lacking. So let's hope that this is getting better. Right. And one of the reasons, so we are also student populations, 50-50 in biomedical engineering. And some people attribute this to that because the field is new. There aren't glass ceilings put in place. Right now, there aren't these white great haired guys that come to mind when you say biomedical engineer. But then there was another article I read that is like, no, no, that's not the case. It's actually because women care about problems that affect the society. And obviously healthcare, health problems is one of those. 01:15:00So she's like, that's why we have more female students in biomedical engineering. And maybe I could be sure. But both of them are not. Yeah. Yeah. That's great. So I'm looking forward to collaborations and intensive interdisciplinary work in the DBS field. I think engineers, specifically biomedical engineers, will become more dominant. And yeah. And the future of DBS depends on good collaborations. What do you think? What do you, as a last question. So what is your, what are you looking forward to in this kind of research world? I know that there are some newer companies out there that may provide some newer opportunities that the former companies have not. So I've been talking to some folks while we were at Wurzburg. 01:16:00So we're thinking about the next projects and how we might, again, work with these different, you know, companies. So technology, technological advances. Yeah. So that's one thing I'm looking forward to. And then I'm also looking forward to doing that interoperable sense site lead experiment that I was talking about. So we're, we've hired two new graduate students. And one is from Ghana. I'm very excited about that. That will be my first student director from Africa. So yeah. That's a good one. Yeah. So yeah. So yeah. So yeah. That's it. Great. All right. Wonderful. Thank you so much, Aisha, for this nice interview. Thank you, Julian. Always a pleasure. 01:17:07Thank you.