Details

Autor(en) / Beteiligte

• Provenza, Nicole R
• Sheth, Sameer A
• Dastin-van Rijn, Evan M
• Mathura, Raissa K
• Ding, Yaohan
• Vogt, Gregory S
• Avendano-Ortega, Michelle
• Ramakrishnan, Nithya
• Peled, Noam
• Gelin, Luiz Fernando Fracassi
• Xing, David
• Jeni, Laszlo A
• Ertugrul, Itir Onal
• Barrios-Anderson, Adriel
• Matteson, Evan
• Wiese, Andrew D
• Xu, Junqian
• Viswanathan, Ashwin
• Harrison, Matthew T
• Bijanki, Kelly R
• Storch, Eric A
• Cohn, Jeffrey F
• Goodman, Wayne K
• Borton, David A

Titel

Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder

Ist Teil von

• Nature medicine, 2021-12, Vol.27 (12), p.2154-2164

Ort / Verlag

United States: Nature Publishing Group

Erscheinungsjahr

2021

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.