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      Left Frontal Hub Connectivity during Memory Performance Supports Reserve in Aging and Mild Cognitive Impairment

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          Abstract

          Reserve in aging and Alzheimer’s disease (AD) is defined as maintaining cognition at a relatively high level in the presence of neurodegeneration, an ability often associated with higher education among other life factors. Recent evidence suggests that higher resting-state functional connectivity within the frontoparietal control network, specifically the left frontal cortex (LFC) hub, contributes to higher reserve. Following up these previous resting-state fMRI findings, we probed memory-task related functional connectivity of the LFC hub as a neural substrate of reserve. In elderly controls (CN, n = 37) and patients with mild cognitive impairment (MCI, n = 17), we assessed global connectivity of the LFC hub during successful face-name association learning, using generalized psychophysiological interaction analyses. Reserve was quantified as residualized memory performance, accounted for gender and proxies of neurodegeneration (age, hippocampus atrophy, and APOE genotype). We found that greater education was associated with higher LFC-connectivity in both CN and MCI during successful memory. Furthermore, higher LFC-connectivity predicted higher residualized memory (i.e., reserve). These results suggest that higher LFC-connectivity contributes to reserve in both healthy and pathological aging.

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          Most cited references35

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          Multi-task connectivity reveals flexible hubs for adaptive task control

          Extensive evidence suggests the human ability to adaptively implement a wide variety of tasks is preferentially due to the operation of a fronto-parietal brain network. We hypothesized that this network’s adaptability is made possible by ‘flexible hubs’ – brain regions that rapidly update their pattern of global functional connectivity according to task demands. We utilized recent advances in characterizing brain network organization and dynamics to identify mechanisms consistent with the flexible hub theory. We found that the fronto-parietal network’s brain-wide functional connectivity pattern shifted more than other networks’ across a variety of task states, and that these connectivity patterns could be used to identify the current task. Further, these patterns were consistent across practiced and novel tasks, suggesting reuse of flexible hub connectivity patterns facilitates adaptive (novel) task performance. Together, these findings support a central role for fronto-parietal flexible hubs in cognitive control and adaptive implementation of task demands generally.
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            Individual variability in functional connectivity architecture of the human brain.

            The fact that people think or behave differently from one another is rooted in individual differences in brain anatomy and connectivity. Here, we used repeated-measurement resting-state functional MRI to explore intersubject variability in connectivity. Individual differences in functional connectivity were heterogeneous across the cortex, with significantly higher variability in heteromodal association cortex and lower variability in unimodal cortices. Intersubject variability in connectivity was significantly correlated with the degree of evolutionary cortical expansion, suggesting a potential evolutionary root of functional variability. The connectivity variability was also related to variability in sulcal depth but not cortical thickness, positively correlated with the degree of long-range connectivity but negatively correlated with local connectivity. A meta-analysis further revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability. Our findings have potential implications for understanding brain evolution and development, guiding intervention, and interpreting statistical maps in neuroimaging. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Global connectivity of prefrontal cortex predicts cognitive control and intelligence.

              Control of thought and behavior is fundamental to human intelligence. Evidence suggests a frontoparietal brain network implements such cognitive control across diverse contexts. We identify a mechanism--global connectivity--by which components of this network might coordinate control of other networks. A lateral prefrontal cortex (LPFC) region's activity was found to predict performance in a high control demand working memory task and also to exhibit high global connectivity. Critically, global connectivity in this LPFC region, involving connections both within and outside the frontoparietal network, showed a highly selective relationship with individual differences in fluid intelligence. These findings suggest LPFC is a global hub with a brainwide influence that facilitates the ability to implement control processes central to human intelligence.
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                Author and article information

                Contributors
                Role: Handling Associate Editor
                Journal
                J Alzheimers Dis
                J. Alzheimers Dis
                JAD
                Journal of Alzheimer's Disease
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                1387-2877
                1875-8908
                17 July 2017
                14 August 2017
                2017
                : 59
                : 4
                : 1381-1392
                Affiliations
                [a ]Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU , Munich, Germany
                [b ]Department of Psychology, University of Southampton , Southampton, UK
                [c ] German Center for Neurodegenerative Diseases (DZNE, Munich) , Munich, Germany
                [d ] Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität LMU , Munich, Germany
                [e ]Institute for Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilian University , Munich, Germany
                [f ] Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
                Author notes
                [* ]Correspondence to: Michael Ewers, PhD, Institute for Stroke and Dementia Research, Klinikum der Universitt Mnchen, Feodor-Lynen Str. 17, 81377 Munich, Germany. Tel.: +49 89 440046221; E-mail: Michael.ewers@ 123456med.uni-muenchen.de .
                Article
                JAD170360
                10.3233/JAD-170360
                5611800
                28731448
                18810dae-05a6-47b1-a794-26f4fdb4aa66
                © 2017 – IOS Press and the authors. All rights reserved

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 June 2017
                Categories
                Research Article

                aging,cognitive reserve,education,functional connectivity,memory,mild cognitive impairment,task-fmri

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