Machine Learning Based Classification of Deep Brain Stimulation Outcomes in a Rat Model of Binge Eating Using Ventral Striatal Oscillations

Machine Learning Based Classification of Deep Brain Stimulation Outcomes in a Rat Model of Binge Eating Using Ventral Striatal Oscillations

Neuromodulation-based interventions continue to be evaluated across an array of appetitive disorders but broader implementation of these approaches remains limited due to variable treatment outcomes. We hypothesize that individual variation in treatment outcomes may be linked to differences in the n...

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Bibliographic Details
Main Authors: Wilder T. Doucette, Lucas Dwiel, Jared E. Boyce, Amanda A. Simon, Jibran Y. Khokhar, Alan I. Green
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Psychiatry
Subjects:
binge eating
nucleus accumbens
deep brain stimulation (DBS)
local field potential (LFP)
machine learning applied to neuroscience
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2018.00336/full

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