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ACC Neuro-over-Connectivity Is Associated with Mathematically Modeled Additional Encoding Operations of Schizophrenia Stroop-Task Performance

Overview of attention for article published in Frontiers in Psychology, September 2016
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Title
ACC Neuro-over-Connectivity Is Associated with Mathematically Modeled Additional Encoding Operations of Schizophrenia Stroop-Task Performance
Published in
Frontiers in Psychology, September 2016
DOI 10.3389/fpsyg.2016.01295
Pubmed ID
Authors

Reggie Taylor, Jean Théberge, Peter C. Williamson, Maria Densmore, Richard W. J. Neufeld

Abstract

Functional magnetic resonance imaging at 7.0 Tesla was undertaken among Schizophrenia participants (Sz), and clinical (major mood disorder; MDD) and healthy controls (HC), during performance of the Stoop task. Stroop conditions included congruent and incongruent word color items, color-only items, and word-only items. Previous modeling results extended to this most widely used selective-attention task. All groups executed item-encoding operations (subprocesses of the item encoding process) at the same rate (performance accuracy being similarly high throughout), thus displaying like processing capacity; Sz participants, however, employed more subprocesses for item completions than did the MDD participants, who in turn used more subprocesses than the HC group. The reduced efficiency in deploying cognitive-workload capacity among the Sz participants was paralleled by more diffuse neuroconnectivity (Blood-Oxygen-Level-Dependent co-activation) with the anterior cingulate cortex (ACC) (Broadman Area 32), spreading away from this encoding-intensive region; and by less evidence of network dissociation across Stroop conditions. Estimates of cognitive work done to accomplish item completion were greater for the Sz participants, as were estimates of entropy in both the modeled trial-latency distribution, and its associated neuro-circuitry. Findings are held to be symptom and assessment significant, and to have potential implications for clinical intervention.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 28%
Student > Ph. D. Student 7 22%
Student > Bachelor 6 19%
Researcher 4 13%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 2 6%
Readers by discipline Count As %
Psychology 13 41%
Neuroscience 5 16%
Engineering 3 9%
Physics and Astronomy 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 4 13%