Predictability of depression severity based on posterior alpha oscillations

Volume: 127, Issue: 4, Pages: 2108 - 2114
Published: Apr 1, 2016
Abstract
We aimed to integrate neural data and an advanced machine learning technique to predict individual major depressive disorder (MDD) patient severity. MEG data was acquired from 22 MDD patients and 22 healthy controls (HC) resting awake with eyes closed. Individual power spectra were calculated by a Fourier transform. Sources were reconstructed via beamforming technique. Bayesian linear regression was applied to predict depression severity based...
Paper Details
Title
Predictability of depression severity based on posterior alpha oscillations
Published Date
Apr 1, 2016
Volume
127
Issue
4
Pages
2108 - 2114
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