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Assessing Trial-by-Trial Electrophysiological and Behavioral Markers of Attentional Control and Sensory Precision in Psychotic and Mood Disorders
Schizophrenia Bulletin ( IF 5.3 ) Pub Date : 2024-04-15 , DOI: 10.1093/schbul/sbae038 Megan A Boudewyn 1 , Molly A Erickson 2 , Kurt Winsler 3 , Deanna M Barch 4 , Cameron S Carter 5 , Michael J Frank 6 , James M Gold 7 , Angus W MacDonald 8 , J Daniel Ragland 3 , Steven M Silverstein 9 , Andrew P Yonelinas 3 , Steven J Luck 3
Schizophrenia Bulletin ( IF 5.3 ) Pub Date : 2024-04-15 , DOI: 10.1093/schbul/sbae038 Megan A Boudewyn 1 , Molly A Erickson 2 , Kurt Winsler 3 , Deanna M Barch 4 , Cameron S Carter 5 , Michael J Frank 6 , James M Gold 7 , Angus W MacDonald 8 , J Daniel Ragland 3 , Steven M Silverstein 9 , Andrew P Yonelinas 3 , Steven J Luck 3
Affiliation
Background and Hypothesis 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 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 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 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.
中文翻译:
评估精神病和情绪障碍中注意力控制和感官精度的逐项电生理和行为标志物
背景和假设 目前的研究在跨诊断临床样本中逐个试验调查了注意力控制的变化在多大程度上有助于视觉知觉辨别任务的表现。研究设计 患有精神分裂症 (SZ;N = 58)、双相情感障碍 (N = 42)、重度抑郁症 (N = 51) 和精神健康对照 (N = 92) 完成了一项刺激短暂出现的视觉感知任务。该设计使我们能够估计刺激的递减率和感知表征的精度。记录脑电图 (EEG) 以检查 alpha 波段 (8-13 Hz) 中的刺激前活动、整体以及与任务行为表现的关系。研究结果 我们发现,与所有其他组相比,SZ 组的注意力失误率更高。我们还观察到刺激前 α 活性的组别差异,对照参与者在试验中平均时显示出最高水平的刺激前 α。然而,逐项试验分析表明,在所有组中,刺激前 α 活性的参与者内部波动显着预测了犯错的可能性。有趣的是,我们的分析表明,对 EEG 信号的非周期性贡献(影响跨频带的功率估计)也是行为的重要预测指标。结论这些结果证实了在 SZ 中观察到的注意力失误率升高,验证了注意力控制的刺激前 EEG 标志物及其在逐个试验的基础上用作行为预测指标,并表明对 EEG 信号的非周期性贡献是该领域进一步研究的重要目标,除了 α 波段活动。
更新日期:2024-04-15
中文翻译:
评估精神病和情绪障碍中注意力控制和感官精度的逐项电生理和行为标志物
背景和假设 目前的研究在跨诊断临床样本中逐个试验调查了注意力控制的变化在多大程度上有助于视觉知觉辨别任务的表现。研究设计 患有精神分裂症 (SZ;N = 58)、双相情感障碍 (N = 42)、重度抑郁症 (N = 51) 和精神健康对照 (N = 92) 完成了一项刺激短暂出现的视觉感知任务。该设计使我们能够估计刺激的递减率和感知表征的精度。记录脑电图 (EEG) 以检查 alpha 波段 (8-13 Hz) 中的刺激前活动、整体以及与任务行为表现的关系。研究结果 我们发现,与所有其他组相比,SZ 组的注意力失误率更高。我们还观察到刺激前 α 活性的组别差异,对照参与者在试验中平均时显示出最高水平的刺激前 α。然而,逐项试验分析表明,在所有组中,刺激前 α 活性的参与者内部波动显着预测了犯错的可能性。有趣的是,我们的分析表明,对 EEG 信号的非周期性贡献(影响跨频带的功率估计)也是行为的重要预测指标。结论这些结果证实了在 SZ 中观察到的注意力失误率升高,验证了注意力控制的刺激前 EEG 标志物及其在逐个试验的基础上用作行为预测指标,并表明对 EEG 信号的非周期性贡献是该领域进一步研究的重要目标,除了 α 波段活动。