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Sridevi Sarma featured on IEEE Brain podcast

Sridevi Sarma, ICM core faculty member and associate professor of biomedical engineering at Johns Hopkins University, was recently a guest on the IEEE Brain Initiative podcast series, where she discussed her background in electrical engineering and control theory, her current research on mathematical models of neurological diseases, and the importance of encouraging young women to pursue careers in engineering. Read some of the highlights from Sarma’s interview below, or listen to the full IEEE Brain podcast on SoundCloud.

The brain is such a huge subject. What is your area of focus?

I’m an engineer by training—an electrical engineer—but the focus of my research is on neurological disorders. So what we try to do is understand the electrical patterns in specific neural circuits that are affected by disease, like Parkinson’s Disease, epilepsy, dystonia, and so forth. We really try to understand how you go from normal to disease—what actually changes in the brain.

As an electrical engineer, how do you get pulled into neuroscience?

I did my bachelor’s, master’s, and PhD entirely in electrical engineering, and I’m a control theorist by training, so I did mathematics and theory. So how did I get interested in neuroscience? This would lead to, in general, where can electrical engineers play a huge role? As a control theorist, people who train like me go work for Boeing, or Ford, where they’re building controllers to control airplanes and cars and other kinds of electrical and mechanical systems.

For me, the neural circuit is a dynamic system, and what do I want to do? Well I want to control the electrical patterns coming out of this system to make it do something I want it to do. So now I need to model what this neural circuit is, just like an electrical engineer will model the central dynamics of an airplane and then figure out how to control it. I see this whole deep brain stimulation as just an exogenous input that we can design to control this dynamic system. So at the end of the day, my training is perfectly aligned for the idea of controlling brain circuits with electrical stimulation.  That’s just one example of how electrical engineers can play a huge role.

You mentioned Parkinson’s earlier. What are you doing in that area?

If you are a healthy person, there are specific neural circuits in the brain that control your movements, and there are electrical patterns that help us move the way we move, freely and in a coordinated way. What we want to understand is how those change when you have, say, Parkinson’s disease, which is a movement disorder. These people can’t move properly; they have tremors and rigidity. So we really want to understand what has changed in those patterns, and once we understand that, what we try to do is say, “Okay, now if I were to electrically stimulate that region of the brain, how can I change those patterns to make a Parkinson’s patient move more like a healthy patient? This idea of putting electrical stimulation in the brain is known as neurostimulation, or deep brain stimulation, and it’s actually a therapy that’s currently used to treat Parkinson’s disease today.

There is a therapy out there already. So what are you adding to the equation?

So deep brain stimulation, or DBS, has been FDA approved and clinically used for the last several decades. But what’s astonishing is that after all this time, people really don’t know why it works. So they put this electrode in the brain, they turn it on, and it looks like a miracle has happened—the person’s symptoms have really suppressed—but they don’t understand what it did because it’s very hard to measure activity in the brain while you’re stimulating it. So what we do in our lab is try to answer this question by building mathematical models that characterize these circuits that are somewhat realistic, then we put in our artificial electrodes, stimulate our computational brain, if you will, and we try to understand what it’s doing. And now, since we know what a healthy person looks like, we try to see, is the stimulation trying to restore your patterns, or is it doing something different that happens to be therapeutic? So these are the kinds of questions we ask.

Promoting women in science is a big topic at the moment. Can you talk about your own experiences?

For myself, being an electrical engineer and going through my undergrad and graduate years, the number of women just declined the more senior I became. For example, during my undergraduate years I had one female professor in the fifty-plus courses that I took. One female. So I had no role models in terms of professors or even teaching assistants, and there were very few colleagues. Sometimes it can be very discouraging when you don’t see people like you doing the same things, and it might make you question yourself. But say you get past that, which I did. What becomes difficult as a woman in engineering or science going into academia or industry is, obviously, if you want to have a family. You’re worried about the timing of things — now you’re getting into your 30s, now you’re getting into your 40s. Here you are competing with men who don’t have children who can put in all the hours that maybe you can’t because you have children. So I think it’s important to do a couple things for women in science, because I absolutely believe that some of the best scientists and engineers that I’ve encountered are women, is to provide opportunities to deal with some of these issues that are very specific to women. I think it’s important to step back and think very carefully to understand individual circumstances, whether it’s gender-specific or race-specific. We need to be really careful of understanding how to help people in different groups and promote them.

What would you say to young women and girls considering the field?

For young girls who are considering the field, I would show them what I do because I think research is so exciting. It’s what makes me wake up and smile every single day — to see what my students are able to accomplish, what questions we can answer, and results, they just make you feel good. They’re kind of like an antidepressant. And it’s exciting. Being in a biomedical engineering field, you see things that might actually help people, but you’re using mathematics and engineering tools to reach that objective. I think that would appeal a lot to young women and girls today. Being an engineer is not about tinkering with trucks or toys, which is fine, but maybe that’s not what may come to their mind. When I was a young girl, when someone said ‘engineer’ I would think of somebody changing a light bulb. I had no idea what an engineer is, but today, engineers can do so many different things and I think a lot of those things would appeal to young girls. So I would want to show them the kinds of things engineers do to encourage them to pursue it.

Sri, what’s your personal goal?

My personal goal is to see my research translated into the clinic and be used to help patients with any kind of neurological disorder.

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Sridevi Sarma co-edits book, Dynamic Neuroscience: Statistics, Modeling, and Control

sri-pierre-bookSridevi Sarma, Associate Director of the Institute for Computational Medicine, is the co-editor of a newly published book titled, Dynamic Neuroscience: Statistics, Modeling, and Control that sheds new light on the field of neuroscience. The book, co-edited with Zhe Chen, Assistant Professor in the Departments of Psychiatry and Neuroscience and Physiology at New York University School of Medicine, capitalizes on the knowledge and experience of experts in the field of neuroscience by presenting recent advances in computational research methods and discussing important research issues in neural data analysis.

Dynamic Neuroscience: Statistics, Modeling, and Control takes an interdisciplinary approach with chapters written by computational and experimental researchers as well as those at the interface. The chapter titled, “Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models,” authored by Sarma and Pierre Sacre, Postdoctoral Fellow in Sarma’s ICM lab, proposes a framework for analyzing data and addressing challenges that arise in neuroscience experiments with human subjects.

Dynamic Neuroscience: Statistics, Modeling, and Control is published by Springer and can be found here.

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Science of Learning Institute supports project led by Sridevi Sarma

Sridevi Sarma, an associate professor in the Department of Biomedical Engineering and associate director of the Institute for Computational Medicine, is the principal investigator on one of six projects to receive a two-year seed grant from The Science of Learning Institute at the Johns Hopkins University. The project titled, “How can we characterize individual differences in learning behaviors as a function of motivation?” is an interdisciplinary study that addresses interactions among motivation, attention, learning, working memory, and cognitive control. The study, which is a collaboration with Susan Courtney, a professor in the Department of Psychological and Brain Science, could positively impact educational practices by improving classroom instruction through computer-based learning. Read the full project proposal here.

The Science of Learning Institute was founded in 2013 to support interdisciplinary research that seeks to understand the ability to learn. Sarma’s research project is a recipient of the fifth round of seed grants from the institute. Read the full story in The Hub.

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Sridevi Sarma appointed associate director of Institute for Computational Medicine

Sridevi V. Sarma, associate professor of biomedical engineering, has been appointed associate director of the Institute for Computational Medicine.

Sarma joined Johns Hopkins University as an assistant professor of biomedical engineering, and core faculty of the Institute for Computational Medicine, in 2009. In 2016, she was promoted to associate professor. Her research combines modeling, estimation, and control of dynamical systems with neurophysiology. She has developed a novel computational tool, EZTrack, which quickly and accurately identifies the seizure focus or epileptogenic zone (EZ) from hundreds of non-invasive EEG recordings with 95% accuracy. Sarma also studies the ways in which physiological monitoring data collected from patients in critical care units can be used to identify those patients whose condition is likely to deteriorate, thereby opening a window of intervention that may save their lives.

Sarma is a recipient of the prestigious NSF CAREER Award, and in 2012 was chosen to receive the NSF Presidential Early Career Award for Scientists and Engineers. In 2014, she received the first annual Krishna Kumar Young Investigator Award from the North American Neuromodulation Society (NANS).

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Sri Sarma receives Robert B. Pond, Sr. Excellence in Teaching Award

Dr. Sridevi Sarma, Assistant Professor of Biomedical Engineering, has been selected as the recipient of the 2015 Robert B. Pond, Sr. Excellence in Teaching Award for outstanding undergraduate teaching. The award recognizes “commitment to and excellence in instruction in the Whiting School of Engineering, success in instilling the desire to learn, and dedication to undergraduate students.” In testimonials supporting Sri’s nomination, students repeatedly described Sri as enthusiastic, approachable, and highly knowledgeable. They lauded her for her ability to elucidate complex topics, such as the Controls section of Systems and Controls, a course she co-teaches with fellow ICM core faculty members Michael Miller and René Vidal.

The award was presented to Sri at the annual Whiting School of Engineering Convocation Awards Ceremony on Monday, May 4.

Congratulations, Sri, on this well-deserved achievement!

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Clinical Neurophysiology features Sarma lab research on cover

Clinical NeurophysiologyResearch from the lab of Dr. Sridevi Sarma, Assistant Professor of Biomedical Engineering and ICM core faculty member, was featured in the February 2015 issue of Clinical Neurophysiology. The paper, entitled “Physiology of functional and effective networks in epilepsy” reviews notions of functional and effective connectivity as applied to the study of seizures in epilepsy. Functional and effective connectivity are notions that come from network science and have been widely applied to fMRI data. Also reviewed are applications to invasive EEG recordings obtained from epilepsy patients undergoing invasive monitoring.

To view the entire article, click here.

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Sri Sarma named inaugural recipient of the Krishna Kumar Award

The North American Neuromodulation Society (NANS) awarded Dr. Sridevi Sarma, Assistant Professor of Biomedical Engineering and ICM core faculty member the first Krishna Kumar Award at their Dec 12, 2014 annual meeting held in Las Vegas. Dr. Sarma set the bar high for subsequent recipients by addressing the 2000 or so attendees with a talk that managed to make complicated modeling approachable and significant for everyone in the audience. The North American Neuromodulation Society (NANS) is dedicated to promoting multidisciplinary collaboration among clinicians, scientists, engineers, and others to advance neuromodulation through education, research, innovation and advocacy.

Congratulations Sri!

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Robert Yaffe awarded a Pre-Doctoral Research Training Fellowship by the Epilepsy Foundation

Robert Yaffe, a predoctoral student and member of the Sarma lab, has been awarded a Pre-Doctoral Research Training Fellowship by the Epilepsy Foundation. The Fellowship supports predoctoral students with dissertation research related to epilepsy, thus strengthening their interest in establishing epilepsy research as a career direction. The title for Robert’s proposed project is “Development of a Tool for Seizure Foci Localization”.

For patients with epilepsy that do not respond to pharmaceutical treatments, the last resort treatment option is a surgical procedure in which the epileptogenic zone (EZ) – the region of the brain that is believed to be the source of the seizures – is removed. First, electrodes are implanted onto the surface of the brain or inserted deep into the brain. This is done to record the electrical activity of the brain while a patient has seizures, so that the exact source of the seizures can be determined. Once the EZ is determined, this area can be surgically resected. Only about 50% of the patients who have this procedure remain seizure-free in the long term. One of the main reasons why this procedure fails is misidentification of the EZ. Currently, trained epileptologists visually inspect hours of electrical recordings without the assistance of any computational tools. In this project, a computational tool will be developed to accurately identify the region of the brain that is responsible for generating seizures in patients with epilepsy. This will greatly improve the effectiveness of surgical resections and decrease the amount of time needed for the pre-surgical evaluation.

Congratulations Robert, and good luck with your research!

 

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Sabato Santaniello receives 2 year $150k award from National Science Foundation

Sabato Santaniello, a scientist in the lab of Dr. Sridevi Sarma, Assistant Professor at the Institute for Computational Medicine, recently received an award of $150K for 2 years from the National Science Foundation. The award, which is part of the NSF’s “Energy, Power, and Adaptive Systems” program is entitled “EAGER: Modeling Network Dynamics in the Epileptic Brain to Develop Translational Tools for Seizure Localization and Detection”. The study is a collaboration with the Epilepsy Center at JHMI.

From the Grant abstract:

“Epilepsy affects 60 million people worldwide who suffer from recurrent seizures, and 40% of patients do not respond to any drug therapy. These patients would greatly benefit from closed-loop neurostimulation therapy to suppress seizures, but the efficacy of such therapy critically depends on whether the stimulus is administered close to the seizure origin (epileptogenic zone, EZ) and immediately prior to or at seizure onset. This program develops novel computational tools for effective EZ localization and seizure onset detection from multi-channel intracranial EEG (iEEG) recordings.”

More details can be found about the award on the NSF website here.

Congratulations Sabato!

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Dr. Sridevi Sarma speaks at SIAM DS13 symposium

Dr. Sridevi Sarma, presented at the 2013 SIAM (Society for Industrial and Applied Mathematics) Conference on Applied Dynamical Systems. The conference was held at the Snowbird Ski and Summer Resort, Snowbird, Utah, USA, from May 19-23. Dr. Sarma’s presentation was entitled “On the Therapeutic Mechanisms of Deep Brain Stimulation for Parkinson’s Disease: Annihilation or Restoration?”

From SIAM’s site: “The application of dynamical systems theory to areas outside of mathematics continues to be a vibrant, exciting and fruitful endeavor. These application areas are diverse and multidisciplinary, ranging over all areas of applied science and engineering, including biology, chemistry, physics, finance, and industrial applied mathematics. This conference strives to achieve a blend of application-oriented material and the mathematics that informs and supports it. The goals of the meeting are a cross-fertilization of ideas from different application areas, and increased communication between the mathematicians who develop dynamical systems techniques and applied scientists who use them.”

To view a video of the presentation, click here.

To view pdf slides, click here.