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Скачать или смотреть Identification of Candidate Neural Biomarkers of OCD Symptom Intensity in Ecologically Valid...

  • Labroots
  • 2022-04-08
  • 310
Identification of Candidate Neural Biomarkers of OCD Symptom Intensity in Ecologically Valid...
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Описание к видео Identification of Candidate Neural Biomarkers of OCD Symptom Intensity in Ecologically Valid...

Presented By: Nicole Provenza, PhD

Speaker Biography: Nicole Provenza is a postdoctoral fellow in Dr. Sameer Sheth’s laboratory at Baylor College of Medicine. Nicole completed her PhD in Biomedical Engineering in Dr. David Borton’s laboratory at Brown University in 2021, where she was awarded the Draper Fellowship for her graduate research. Her graduate work focused on developing adaptive deep brain stimulation for obsessive-compulsive disorder. As part of her graduate work, Nicole developed a research platform to collect intracranial local field potentials synchronized with disease-relevant behavior at home to aid in identification of neural biomarkers of obsessive-compulsive symptoms in natural environments.

Webinar: Identification of Candidate Neural Biomarkers of OCD Symptom Intensity in Ecologically Valid Environments

Webinar Abstract: Detection of neural signatures related to pathological behavioral states could enable adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for neurological and psychiatric disorders. This approach requires identifying neural biomarkers of relevant behavioral states, a task best performed in ecologically valid environments. Here, in human participants with obsessive-compulsive disorder (OCD) implanted with recording-capable DBS devices, we synchronized chronic ventral striatum local field potentials with relevant, disease-specific behaviors. We captured over 1,000 h of local field potentials in the clinic and at home during unstructured activity, as well as during DBS and exposure therapy. The wide range of symptom severity over which the data were captured allowed us to identify candidate neural biomarkers of OCD symptom intensity. This work demonstrates the feasibility and utility of capturing chronic intracranial electrophysiology during daily symptom fluctuations to enable neural biomarker identification, a prerequisite for future development of adaptive DBS for OCD and other psychiatric disorders.

Learning Objectives:

1. Discuss the background on why adaptive deep brain stimulation for OCD may help to improve its therapeutic efficacy.

2. Explain the challenges of conducting and analyzing ecological electrophysiological recordings with individuals suffering from severe psychiatric illness.

Earn PACE Credits:
1. Make sure you’re a registered member of LabRoots https://www.labroots.com/webinar/iden...
2. Watch the webinar on YouTube or on the LabRoots Website https://www.labroots.com/ms/webinar/i...
3. Click Here to get your PACE credits (Expiration date – March 10, 2024): https://www.labroots.com/credit/pace-...

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