Which Measures From a Sustained Attention Task Best Predict ADHD Group Membership?

被引：8

作者：

Machida, Keitaro ^{[1
]}

Barry, Edwina ^{[4
]}

Mulligan, Aisling ^{[6
,7
]}

Gill, Michael ^{[4
]}

Robertson, Ian H. ^{[5
]}

Lewis, Frances C. ^{[2
]}

Green, Benita ^{[1
]}

Kelly, Simon P. ^{[7
]}

Bellgrove, Mark A. ^{[8
]}

Johnson, Katherine A. ^{[3
]}

机构：

[1] Univ Melbourne, Melbourne Sch Psychol Sci, Level 12,Redmond Barry Bldg, Parkville, Vic 3010, Australia

[2] Univ Melbourne, Parkville, Vic, Australia

[3] Univ Melbourne, Sch Psychol Sci, Parkville, Vic, Australia

[4] Trinity Coll Dublin, Psychiat, Dublin, Ireland

[5] Trinity Coll Dublin, Psychol, Dublin, Ireland

[6] Univ Coll Dublin, Child & Adolescent Psychiat, Dublin, Ireland

[7] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin, Ireland

[8] Monash Univ, Clayton, Vic, Australia

来源：

JOURNAL OF ATTENTION DISORDERS | 2022年 / 26卷 / 11期

基金：

英国医学研究理事会; 爱尔兰科学基金会;

关键词：

ADHD; response time; SART; sustained attention; REACTION-TIME VARIABILITY; DEFICIT-HYPERACTIVITY-DISORDER; AUTISM SPECTRUM DISORDERS; DEFICIT/HYPERACTIVITY DISORDER; INTRAINDIVIDUAL VARIABILITY; RESPONSE VARIABILITY; CHILDREN; PERFORMANCE; SENSITIVITY; MECHANISMS;

D O I：

10.1177/10870547221081266

中图分类号：

B844 [发展心理学（人类心理学）];

学科分类号：

040202 ;

摘要：

Difficulty with sustaining attention to a task is a hallmark of ADHD. It would be useful to know which measures of sustained attention best predict a diagnosis of ADHD. Participants were 129 children with a diagnosis of ADHD and 129 matched controls who completed the fixed Sustained Attention to Response Task (SART). The number of commission and omission errors, standard deviation of response time (SDRT), tau, fast and slow frequency variability, d-prime, and mu were able to successfully classify children with and without ADHD. The mean response time, criterion, and sigma were not able to classify participants. The best classifiers were d-prime (0.75 Area Under the Receiver Operated Characteristic), tau (.74), SDRT (0.74), omission errors (0.72), commission errors (0.71), and SFAUS (0.70). This list of the best classifier measures derived from the SART may prove useful for the planning of future studies.

引用

页码：1471 / 1482

页数：12

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