Assessing Trial-by-Trial Electrophysiological and Behavioral Markers of Attentional Control and Sensory Precision in Psychotic and Mood Disorders.

EEG attention lapsing bipolar disorder depression schizophrenia sensory precision visual perception

Journal

Schizophrenia bulletin
ISSN: 1745-1701
Titre abrégé: Schizophr Bull
Pays: United States
ID NLM: 0236760

Informations de publication

Date de publication:
14 Apr 2024
Historique:
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 14 4 2024
Statut: aheadofprint

Résumé

The current study investigated the extent to which changes in attentional control contribute to performance on a visual perceptual discrimination task, on a trial-by-trial basis in a transdiagnostic clinical sample. Participants with schizophrenia (SZ; N = 58), bipolar disorder (N = 42), major depression disorder (N = 51), and psychiatrically healthy controls (N = 92) completed a visual perception task in which stimuli appeared briefly. The design allowed us to estimate the lapse rate and the precision of perceptual representations of the stimuli. Electroencephalograms (EEG) were recorded to examine pre-stimulus activity in the alpha band (8-13 Hz), overall and in relation to behavior performance on the task. We found that the attention lapse rate was elevated in the SZ group compared with all other groups. We also observed group differences in pre-stimulus alpha activity, with control participants showing the highest levels of pre-stimulus alpha when averaging across trials. However, trial-by-trial analyses showed within-participant fluctuations in pre-stimulus alpha activity significantly predicted the likelihood of making an error, in all groups. Interestingly, our analysis demonstrated that aperiodic contributions to the EEG signal (which affect power estimates across frequency bands) serve as a significant predictor of behavior as well. These results confirm the elevated attention lapse rate that has been observed in SZ, validate pre-stimulus EEG markers of attentional control and their use as a predictor of behavior on a trial-by-trial basis, and suggest that aperiodic contributions to the EEG signal are an important target for further research in this area, in addition to alpha-band activity.

Sections du résumé

BACKGROUND AND HYPOTHESIS OBJECTIVE
The current study investigated the extent to which changes in attentional control contribute to performance on a visual perceptual discrimination task, on a trial-by-trial basis in a transdiagnostic clinical sample.
STUDY DESIGN METHODS
Participants with schizophrenia (SZ; N = 58), bipolar disorder (N = 42), major depression disorder (N = 51), and psychiatrically healthy controls (N = 92) completed a visual perception task in which stimuli appeared briefly. The design allowed us to estimate the lapse rate and the precision of perceptual representations of the stimuli. Electroencephalograms (EEG) were recorded to examine pre-stimulus activity in the alpha band (8-13 Hz), overall and in relation to behavior performance on the task.
STUDY RESULTS RESULTS
We found that the attention lapse rate was elevated in the SZ group compared with all other groups. We also observed group differences in pre-stimulus alpha activity, with control participants showing the highest levels of pre-stimulus alpha when averaging across trials. However, trial-by-trial analyses showed within-participant fluctuations in pre-stimulus alpha activity significantly predicted the likelihood of making an error, in all groups. Interestingly, our analysis demonstrated that aperiodic contributions to the EEG signal (which affect power estimates across frequency bands) serve as a significant predictor of behavior as well.
CONCLUSIONS CONCLUSIONS
These results confirm the elevated attention lapse rate that has been observed in SZ, validate pre-stimulus EEG markers of attentional control and their use as a predictor of behavior on a trial-by-trial basis, and suggest that aperiodic contributions to the EEG signal are an important target for further research in this area, in addition to alpha-band activity.

Identifiants

pubmed: 38616053
pii: 7645597
doi: 10.1093/schbul/sbae038
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH084821
Pays : United States

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Megan A Boudewyn (MA)

Department of Psychology, University of California, Santa Cruz, California, USA.

Molly A Erickson (MA)

Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.

Kurt Winsler (K)

Department of Psychology, University of California, Davis, California, USA.

Deanna M Barch (DM)

Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.

Cameron S Carter (CS)

Department of Psychiatry and Human Behavior, University of California, Irvine, California, USA.

Michael J Frank (MJ)

Department of Cognitive, Linguistics and Psychological Sciences, Brown University, Providence, Rhode Island, USA.

James M Gold (JM)

Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Angus W MacDonald (AW)

Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA.

J Daniel Ragland (JD)

Department of Psychology, University of California, Davis, California, USA.

Steven M Silverstein (SM)

Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA.

Andrew P Yonelinas (AP)

Department of Psychology, University of California, Davis, California, USA.

Steven J Luck (SJ)

Department of Psychology, University of California, Davis, California, USA.

Classifications MeSH