Uncovering Key Predictive Channels and Clinical Variables in the Gamma Band Auditory Steady-State Response in Early Stage Psychosis - a Longitudinal Study.

Autor:	Holton KM; Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA 19716., Higgins A; Psychosis Neurobiology Laboratory, McLean Hospital, 115 Mill St Belmont, MA, USA 02478., Brockmeier AJ; Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA 19716.; Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA 19716.; Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA 19716., Hall MH; Psychosis Neurobiology Laboratory, McLean Hospital, 115 Mill St Belmont, MA, USA 02478.; Department of Psychiatry, Harvard Medical School, 25 Shattuck St Boston, MA, USA 02115.; Division of Psychotic Disorders, McLean Hospital, 115 Mill St Belmont, MA, USA 02478.
Jazyk:	angličtina
Zdroj:	Acta neuropsychiatrica [Acta Neuropsychiatr] 2024 Dec 09, pp. 1-30. Date of Electronic Publication: 2024 Dec 09.
DOI:	10.1017/neu.2024.60
Abstrakt:	Objective: Psychotic disorders are characterized by abnormalities in the synchronization of neuronal responses. A 40 Hz gamma band deficit during auditory steady-state response (ASSR) measured by electroencephalogram (EEG) is a robust observation in psychosis and is associated with symptoms and functional deficits. However, the majority of ASSR studies focus on specific electrode sites, while whole scalp analysis using all channels, and the association with clinical symptoms, are rare. Methods: In this study, we use whole-scalp 40 Hz ASSR EEG measurements-power and phase locking factor-to establish deficits in early-stage psychosis (ESP) subjects, classify ESP status using an ensemble of machine learning techniques, identify correlates with principal components obtained from clinical/demographic/functioning variables, and correlate functional outcome after a short-term follow-up. Results: We identified significant spatially-distributed group level differences for power and phase locking. The performance of different machine learning techniques and interpretation of the extracted feature importance indicate that phase locking has a more predictive and parsimonious pattern than power. Phase locking is also associated with principal components composed of measures of cognitive processes. Short-term functional outcome is associated with baseline 40 Hz ASSR signals from the FCz and other channels in both phase locking and power. Conclusion: This whole scalp EEG study provides additional evidence to link deficits in 40 Hz ASSRs with cognition and functioning in ESP, and corroborates with prior studies of phase locking from a subset of EEG channels. Confirming 40 Hz ASSR deficits serves as a candidate phenotype to identify circuit dysfunctions and a biomarker for clinical outcomes in psychosis.
Databáze:	MEDLINE
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