4.7 Article

Individual attentional selection capacities are reflected in interhemispheric connectivity of the parietal cortex

期刊

NEUROIMAGE
卷 129, 期 -, 页码 148-158

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2016.01.054

关键词

Theory of Visual Attention; Individual differences; fMRI; Effective connectivity

资金

  1. Federal Ministry of Education and Research (BMBF) [01GQ1401]
  2. Deutsche Forschungsgemeinschaft (DFG) [WE 4299/3-1]
  3. Marga- and Walter Boll Foundation

向作者/读者索取更多资源

Modelling psychophysical data using the Theory of Visual Attention (TVA) allows for a quantification of attentional sub-processes, such as the resolution of competition amongst multiple stimuli by top-down control signals for target selection (TVA-parameter alpha). This fMRI study investigated the neural correlates of alpha by comparing activity differences and changes of effective connectivity between conditions where a target was accompanied by a distractor or by a second target. Twenty-five participants performed a partial report task inside the MRI scanner. The left angular gyrus (ANG), medial frontal, and posterior cingulate cortex showed higher activity when a target was accompanied by a distractor as opposed to a second target. The reverse contrast yielded activation of a bilateral fronto-parietal network, the anterior insula, anterior cingulate cortex, and left inferior occipital gyrus. A psychophysiological interaction analysis revealed that the connectivity between left ANG and the left and right supramarginal gyrus (SMG), left anterior insula, and right putamen was enhanced in the target-distractor condition in participants with worse attentional top-down control. Dynamic causal modelling suggested that the connection from left ANG to right SMG during distractor presence was modulated by alpha. Our data show that interindividual differences in attentional processing are reflected in changes of effective connectivity without significant differences in activation strength of network nodes. (C) 2016 Elsevier Inc. All rights reserved.

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