Pupillary assessment and computational modeling of the Stroop task in depression

被引:120
|
作者
Siegle, GJ
Steinhauer, SR
Thase, ME
机构
[1] Univ Pittsburgh, Western Psychiat Inst & Clin, Pittsburgh, PA 15213 USA
[2] VA Pittsburgh Healthcare Syst, Pittsburgh, PA USA
关键词
depression; neural network; stroop; interference; pupil dilation; attention;
D O I
10.1016/j.ijpsycho.2003.12.010
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Depressed individuals frequently display disruptions in selective attention, but the time course and specificity of these difficulties are not well-understood. To better understand the nature of attentional disruptions in depression, 28 healthy adults and 23 unmedicated depressed adults completed a Stroop color-naming task using a long inter-stimulus interval and pupil dilation was recorded as a measure of cognitive load. Both groups took longer to name the color for incongruent than congruent trials. Pupil dilation was also larger for incongruent trials than for congruent trials across groups. which suggested that pupil dilation reflected cognitive load on the task. Though the groups did not differ in the magnitude of Stroop effect in pupil dilation, depressed individuals displayed decreased pupil dilation in the seconds following stimuli relative to controls. Computational neural network modeling further suggested that observed effects were consistent with decreased prefrontal cortex activity, associated with decreased cognitive control. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:63 / 76
页数:14
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