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Dataset Information

Decoding Depression Severity From Intracranial Neural Activity.


ABSTRACT:

Background

Disorders of mood and cognition are prevalent, disabling, and notoriously difficult to treat. Fueling this challenge in treatment is a significant gap in our understanding of their neurophysiological basis.

Methods

We recorded high-density neural activity from intracranial electrodes implanted in depression-relevant prefrontal cortical regions in 3 human subjects with severe depression. Neural recordings were labeled with depression severity scores across a wide dynamic range using an adaptive assessment that allowed sampling with a temporal frequency greater than that possible with typical rating scales. We modeled these data using regularized regression techniques with region selection to decode depression severity from the prefrontal recordings.

Results

SUBMITTER: Xiao J 

PROVIDER: S-EPMC10394110 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature