Molly A Erickson, Megan A Boudewyn, Kurt Winsler, Charlotte Li, Deanna M Barch, Cameron S Carter, Michael J Frank, James M Gold, Angus W MacDonald, John D Ragland, Steven M Silverstein, Andrew Yonelinas, Steven J Luck
{"title":"阿尔法调节功能失调是严重精神疾病患者工作记忆受损的机制之一。","authors":"Molly A Erickson, Megan A Boudewyn, Kurt Winsler, Charlotte Li, Deanna M Barch, Cameron S Carter, Michael J Frank, James M Gold, Angus W MacDonald, John D Ragland, Steven M Silverstein, Andrew Yonelinas, Steven J Luck","doi":"10.1016/j.bpsc.2024.07.022","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>People with psychosis and mood disorders experience disruptions in working memory; however, the underlying mechanism remains unknown. We focused on 2 potential mechanisms: poor attentional engagement should be associated with elevated levels of prestimulus alpha-band activity within the electroencephalogram (EEG), whereas impaired working memory encoding should be associated with reduced poststimulus alpha suppression.</p><p><strong>Methods: </strong>We collected EEG data from 68 people with schizophrenia, 43 people with bipolar disorder with a history of psychosis, 53 people with major depressive disorder, and 90 healthy comparison subjects while they completed a spatial working memory task. We quantified attention lapsing, memory precision, and memory capacity from the behavioral responses, and we quantified alpha using traditional wavelet analysis as well as a novel approach for isolating oscillatory alpha power from aperiodic elements of the EEG signal.</p><p><strong>Results: </strong>We found that 1) greater prestimulus alpha power estimated using traditional wavelet analysis predicted behavioral errors; 2) poststimulus alpha suppression was reduced in the patient groups; and 3) reduced suppression was associated with a lower likelihood of memory storage. However, we also observed that the prestimulus alpha was larger among healthy control participants than patients, and single-trial analyses showed that it was the aperiodic elements of the prestimulus EEG-not oscillatory alpha-that predicted behavioral errors.</p><p><strong>Discussion: </strong>These results suggest that working memory impairments in serious mental illness primarily reflect an impairment in the poststimulus encoding processes rather than reduced attentional engagement prior to stimulus onset.</p>","PeriodicalId":93900,"journal":{"name":"Biological psychiatry. Cognitive neuroscience and neuroimaging","volume":" ","pages":"1271-1280"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11625623/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dysfunctional Alpha Modulation as a Mechanism of Working Memory Impairment in Serious Mental Illness.\",\"authors\":\"Molly A Erickson, Megan A Boudewyn, Kurt Winsler, Charlotte Li, Deanna M Barch, Cameron S Carter, Michael J Frank, James M Gold, Angus W MacDonald, John D Ragland, Steven M Silverstein, Andrew Yonelinas, Steven J Luck\",\"doi\":\"10.1016/j.bpsc.2024.07.022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>People with psychosis and mood disorders experience disruptions in working memory; however, the underlying mechanism remains unknown. We focused on 2 potential mechanisms: poor attentional engagement should be associated with elevated levels of prestimulus alpha-band activity within the electroencephalogram (EEG), whereas impaired working memory encoding should be associated with reduced poststimulus alpha suppression.</p><p><strong>Methods: </strong>We collected EEG data from 68 people with schizophrenia, 43 people with bipolar disorder with a history of psychosis, 53 people with major depressive disorder, and 90 healthy comparison subjects while they completed a spatial working memory task. We quantified attention lapsing, memory precision, and memory capacity from the behavioral responses, and we quantified alpha using traditional wavelet analysis as well as a novel approach for isolating oscillatory alpha power from aperiodic elements of the EEG signal.</p><p><strong>Results: </strong>We found that 1) greater prestimulus alpha power estimated using traditional wavelet analysis predicted behavioral errors; 2) poststimulus alpha suppression was reduced in the patient groups; and 3) reduced suppression was associated with a lower likelihood of memory storage. However, we also observed that the prestimulus alpha was larger among healthy control participants than patients, and single-trial analyses showed that it was the aperiodic elements of the prestimulus EEG-not oscillatory alpha-that predicted behavioral errors.</p><p><strong>Discussion: </strong>These results suggest that working memory impairments in serious mental illness primarily reflect an impairment in the poststimulus encoding processes rather than reduced attentional engagement prior to stimulus onset.</p>\",\"PeriodicalId\":93900,\"journal\":{\"name\":\"Biological psychiatry. 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Dysfunctional Alpha Modulation as a Mechanism of Working Memory Impairment in Serious Mental Illness.
Background: People with psychosis and mood disorders experience disruptions in working memory; however, the underlying mechanism remains unknown. We focused on 2 potential mechanisms: poor attentional engagement should be associated with elevated levels of prestimulus alpha-band activity within the electroencephalogram (EEG), whereas impaired working memory encoding should be associated with reduced poststimulus alpha suppression.
Methods: We collected EEG data from 68 people with schizophrenia, 43 people with bipolar disorder with a history of psychosis, 53 people with major depressive disorder, and 90 healthy comparison subjects while they completed a spatial working memory task. We quantified attention lapsing, memory precision, and memory capacity from the behavioral responses, and we quantified alpha using traditional wavelet analysis as well as a novel approach for isolating oscillatory alpha power from aperiodic elements of the EEG signal.
Results: We found that 1) greater prestimulus alpha power estimated using traditional wavelet analysis predicted behavioral errors; 2) poststimulus alpha suppression was reduced in the patient groups; and 3) reduced suppression was associated with a lower likelihood of memory storage. However, we also observed that the prestimulus alpha was larger among healthy control participants than patients, and single-trial analyses showed that it was the aperiodic elements of the prestimulus EEG-not oscillatory alpha-that predicted behavioral errors.
Discussion: These results suggest that working memory impairments in serious mental illness primarily reflect an impairment in the poststimulus encoding processes rather than reduced attentional engagement prior to stimulus onset.