Stereo-Electroencephalography–Guided Network Neuromodulation for Psychiatric Disorders: The Neurophysiology Monitoring Unit

Author:

Allawala Anusha B.12ORCID,Bijanki Kelly R.3ORCID,Adkinson Joshua3,Oswalt Denise4,Tsolaki Evangelia5,Mathew Sanjay6,Mathura Raissa K.3,Bartoli Eleonora3,Provenza Nicole3,Watrous Andrew J.3,Xiao Jiayang3,Pirtle Victoria3,Mocchi Madaline M.3,Rajesh Sameer3,Diab Nabeel3,Cohn Jeffrey F.7,Borton David A.1,Goodman Wayne K.6,Pouratian Nader8,Sheth Sameer A.3

Affiliation:

1. School of Engineering, Brown University, Providence, Rhode Island, USA;

2. Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA;

3. Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA;

4. Department of Neurosurgery, University of Pennsylvania Philadelphia, Pennsylvania, USA;

5. Department of Neurosurgery, University of California, Los Angeles, California, USA;

6. Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA;

7. Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA;

8. Department of Neurosurgery, University of Texas Southwestern, Dallas, Texas, USA

Abstract

BACKGROUND AND OBJECTIVES: Recent advances in stereotactic and functional neurosurgery have brought forth the stereo-electroencephalography approach which allows deeper interrogation and characterization of the contributions of deep structures to neural and affective functioning. We argue that this approach can and should be brought to bear on the notoriously intractable issue of defining the pathophysiology of refractory psychiatric disorders and developing patient-specific optimized stimulation therapies. METHODS: We have developed a suite of methods for maximally leveraging the stereo-electroencephalography approach for an innovative application to understand affective disorders, with high translatability across the broader range of refractory neuropsychiatric conditions. RESULTS: This article provides a roadmap for determining desired electrode coverage, tracking high-resolution research recordings across a large number of electrodes, synchronizing intracranial signals with ongoing research tasks and other data streams, applying intracranial stimulation during recording, and design choices for patient comfort and safety. CONCLUSION: These methods can be implemented across other neuropsychiatric conditions needing intensive electrophysiological characterization to define biomarkers and more effectively guide therapeutic decision-making in cases of severe and treatment-refractory disease.

Funder

National Science Foundation Graduate Research Fellowship Program

Foundation for the National Institutes of Health

National Institutes of Health

Publisher

Ovid Technologies (Wolters Kluwer Health)

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