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Reasoning with linear orders: Differential parietal cortex activation in sub-clinical depression. An fMRI investigation in sub-clinical depression and controls

Hinton, Elanor C., Wise, Richard Geoffrey, Singh, Krish Devi and Von Hecker, Ulrich 2015. Reasoning with linear orders: Differential parietal cortex activation in sub-clinical depression. An fMRI investigation in sub-clinical depression and controls. Frontiers in Human Neuroscience 8 , 1061. 10.3389/fnhum.2014.01061

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Abstract

The capacity to learn new information and manipulate it for efficient retrieval has long been studied through reasoning paradigms, which also has applicability to the study of social behavior. Humans can learn about the linear order within groups using reasoning, and the success of such reasoning may vary according to affective state, such as depression. We investigated the neural basis of these latter findings using functional neuroimaging. Using BDI-II criteria, 14 non-depressed (ND) and 12 mildly depressed volunteers took part in a linear-order reasoning task during functional magnetic resonance imaging. The hippocampus, parietal, and prefrontal cortices were activated during the task, in accordance with previous studies. In the learning phase and in the test phase, greater activation of the parietal cortex was found in the depressed group, which may be a compensatory mechanism in order to reach the same behavioral performance as the ND group, or evidence for a different reasoning strategy in the depressed group.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Neuroscience and Mental Health Research Institute (NMHRI)
Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher: Frontiers Research Foundation
ISSN: 1662-5161
Funders: ESRC
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 19 December 2014
Last Modified: 11 Mar 2019 13:32
URI: http://orca.cf.ac.uk/id/eprint/69520

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