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Gamma oscillations predict pro-cognitive and clinical response to auditory-based cognitive training in schizophrenia

Authors :
Lauren Cardoso
William C. Hochberger
David L. Braff
Juan L. Molina
Joyce Sprock
Gregory A. Light
Michael L. Thomas
John Nungaray
Neal R. Swerdlow
Daisuke Koshiyama
Yash B. Joshi
Source :
Translational psychiatry, vol 10, iss 1, Translational Psychiatry, Vol 10, Iss 1, Pp 1-10 (2020), Translational Psychiatry
Publication Year :
2020
Publisher :
eScholarship, University of California, 2020.

Abstract

Cognitive impairments are pervasive and disabling features of schizophrenia. Targeted cognitive training (TCT) is a “bottom-up” cognitive remediation intervention with efficacy for neurocognitive outcomes in schizophrenia, yet individual responses are variable. Gamma oscillatory measures are leading candidate biomarkers in the development of biologically informed pro-cognitive therapeutics. Forty-two schizophrenia patients were recruited from a long-term residential treatment facility. Participants were randomized to receive either 1 h of cognitive training (TCT, n = 21) or computer games (TAU, n = 21). All participants received standard-of-care treatment; the TCT group additionally completed 30 h of cognitive training. The auditory steady-state response paradigm was used to elicit gamma oscillatory power and synchrony during electroencephalogram recordings. Detailed clinical and cognitive assessments were collected at baseline and after completion of the study. Baseline gamma power predicted cognitive gains after a full course of TCT (MCCB, R2 = 0.31). A change in gamma power after 1-h TCT exposure predicted improvement in both positive (SAPS, R2 = 0.40) and negative (SANS, R2 = 0.30) symptoms. These relationships were not observed in the TAU group (MCCB, SAPS, and SANS, all R2

Details

Database :
OpenAIRE
Journal :
Translational psychiatry, vol 10, iss 1, Translational Psychiatry, Vol 10, Iss 1, Pp 1-10 (2020), Translational Psychiatry
Accession number :
edsair.doi.dedup.....518a9f1564e1e77d87aa0870539c384b