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      Resting-State Connectivity of the Left Frontal Cortex to the Default Mode and Dorsal Attention Network Supports Reserve in Mild Cognitive Impairment

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          Abstract

          Reserve refers to the phenomenon of relatively preserved cognition in disproportion to the extent of neuropathology, e.g., in Alzheimer’s disease. A putative functional neural substrate underlying reserve is global functional connectivity of the left lateral frontal cortex (LFC, Brodmann Area 6/44). Resting-state fMRI-assessed global LFC-connectivity is associated with protective factors (education) and better maintenance of memory in mild cognitive impairment (MCI). Since the LFC is a hub of the fronto-parietal control network that regulates the activity of other networks, the question arises whether LFC-connectivity to specific networks rather than the whole-brain may underlie reserve. We assessed resting-state fMRI in 24 MCI and 16 healthy controls (HC) and in an independent validation sample (23 MCI/32 HC). Seed-based LFC-connectivity to seven major resting-state networks (i.e., fronto-parietal, limbic, dorsal-attention, somatomotor, default-mode, ventral-attention, visual) was computed, reserve was quantified as residualized memory performance after accounting for age and hippocampal atrophy. In both samples of MCI, LFC-activity was anti-correlated with the default-mode network (DMN), but positively correlated with the dorsal-attention network (DAN). Greater education predicted stronger LFC-DMN-connectivity (anti-correlation) and LFC-DAN-connectivity. Stronger LFC-DMN and LFC-DAN-connectivity each predicted higher reserve, consistently in both MCI samples. No associations were detected for LFC-connectivity to other networks. These novel results extend our previous findings on global functional connectivity of the LFC, showing that LFC-connectivity specifically to the DAN and DMN, two core memory networks, enhances reserve in the memory domain in MCI.

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          Most cited references9

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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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            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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              Selective development of anticorrelated networks in the intrinsic functional organization of the human brain.

              We examined the normal development of intrinsic functional connectivity of the default network (brain regions typically deactivated for attention-demanding tasks) as measured by resting-state fMRI in children, adolescents, and young adults ages 8-24 years. We investigated both positive and negative correlations and employed analysis methods that allowed for valid interpretation of negative correlations and that also minimized the influence of motion artifacts that are often confounds in developmental neuroimaging. As age increased, there were robust developmental increases in negative correlations, including those between medial pFC (MPFC) and dorsolateral pFC (DLPFC) and between lateral parietal cortices and brain regions associated with the dorsal attention network. Between multiple regions, these correlations reversed from being positive in children to negative in adults. Age-related changes in positive correlations within the default network were below statistical threshold after controlling for motion. Given evidence in adults that greater negative correlation between MPFC and DLPFC is associated with superior cognitive performance, the development of an intrinsic anticorrelation between MPFC and DLPFC may be a marker of the large growth of working memory and executive functions that occurs from childhood to young adulthood.
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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                07 August 2017
                2017
                : 9
                : 264
                Affiliations
                [1] 1Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität München Munich, Germany
                [2] 2Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, Technische Universität München Munich, Germany
                [3] 3TUM-Neuroimaging Center of the Klinikum Rechts der Isar, Technische Universität München Munich, Germany
                [4] 4Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technische Universität München Munich, Germany
                [5] 5Department of Nuclear Medicine, University of Cologne Cologne, Germany
                [6] 6German Center for Neurodegenerative Diseases (DZNE, Bonn) Bonn, Germany
                [7] 7Department of Psychology, University of Southampton Southampton, United Kingdom
                [8] 8German Center for Neurodegenerative Diseases (DZNE, Munich) Munich, Germany
                Author notes

                Edited by: Alessio Avenanti, Università di Bologna, Italy

                Reviewed by: Stefania Della Penna, Università degli Studi “G. d’Annunzio” Chieti – Pescara, Italy; Xi-Nian Zuo, Institute of Psychology (CAS), China

                *Correspondence: Nicolai Franzmeier, nicolai.franzmeier@ 123456med.uni-muenchen.de
                Article
                10.3389/fnagi.2017.00264
                5545597
                28174533
                fbe2debc-11dc-46d5-aaf5-ec376dff88d1
                Copyright © 2017 Franzmeier, Göttler, Grimmer, Drzezga, Áraque-Caballero, Simon-Vermot, Taylor, Bürger, Catak, Janowitz, Müller, Duering, Sorg and Ewers.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 March 2017
                : 24 July 2017
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 62, Pages: 11, Words: 0
                Funding
                Funded by: European Commission 10.13039/501100000780
                Award ID: PCIG12-GA-2012-334259
                Funded by: Alzheimer Forschung Initiative 10.13039/100010146
                Award ID: DE-15035
                Award ID: SO1336
                Award ID: DE-12819
                Categories
                Neuroscience
                Original Research

                Neurosciences
                cognitive reserve,mild cognitive impairment,frontoparietal control network,memory,functional connectivity

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