The impact of executive capacity and age on mechanisms underlying multidimensional feature selection

NEUROPSYCHOLOGIA

卷:70

Article

Mott, Katherine K.¹  Alperin, Brittany R.¹  Fox, Anne M.¹  Holcomb, Phillip J.²  Daffner, Kirk R.¹ 

[1] Harvard Univ, Sch Med, Dept Neurol,Brigham & Womens Hosp, Ctr Brain Mind Med,Div Cognit & Behav Neurol, Boston, MA 02115 USA

[2] Tufts Univ, Dept Psychol, Medford, MA 02155 USA

关键词: Multidimensional feature selection;    Selective attention;    ERPs;    Selection negativity;    Executive control;    Aging;   

DOI  :  10.1016/j.neuropsychologia.2015.02.003

来源: Elsevier

【 摘 要 】

This study examined the role of executive capacity (EC) and aging in multidimensional feature selection. ERPs were recorded from healthy young and old adults of either high or average EC based on neuropsychological testing. Participants completed a color selective attention task in which they responded to target letter-forms in a specified color (attend condition) while ignoring letter-forms in a different color (ignore condition). Two selection negativity (SN) components were computed: the SNcolor. (attend-ignore), indexing early color selection, and the SNLetter (targets-standards), indexing early letter-form selection. High EC subjects exhibited self-terminating feature selection; the processing of one feature type was reduced if information from the other feature type suggested the stimulus did not contain the task-relevant feature. In contrast, average EC subjects exhaustively selected all features of a stimulus. The self-terminating approach was associated with better task accuracy. Higher EC was also linked to stronger early selection of target letter-forms, but did not modulate the seemingly less demanding task of color selection. Mechanisms utilized for multidimensional feature selection appear to be consistent across the lifespan, although there was age-related slowing of processing speed for early selection of letter features. We conclude that EC is a critical determinant of how multidimensional feature processing is carried out. (C) 2015 Elsevier Ltd. All rights reserved.

【 授权许可】

Free