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      Parcellation‐based tractographic modeling of the dorsal attention network

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          Abstract

          Introduction

          The dorsal attention network (DAN) is an important mediator of goal‐directed attentional processing. Multiple cortical areas, such as the frontal eye fields, intraparietal sulcus, superior parietal lobule, and visual cortex, have been linked in this processing. However, knowledge of network connectivity has been devoid of structural specificity.

          Methods

          Using attention‐related task‐based fMRI studies, an anatomic likelihood estimation (ALE) of the DAN was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co‐registered onto the ALE in MNI coordinate space and visually assessed for inclusion in the network. DSI‐based fiber tractography was performed to determine the structural connections between relevant cortical areas comprising the network.

          Results

          Twelve cortical regions were found to be part of the DAN: 6a, 7AM, 7PC, AIP, FEF, LIPd, LIPv, MST, MT, PH, V4t, VIP. All regions demonstrated consistent u‐shaped interconnections between adjacent parcellations. The superior longitudinal fasciculus connects the frontal, parietal, and occipital areas of the network.

          Conclusions

          We present a tractographic model of the DAN. This model comprises parcellations within the frontal, parietal, and occipital cortices principally linked through the superior longitudinal fasciculus. Future studies may refine this model with the ultimate goal of clinical application.

          Abstract

          Using a meta‐analytic fMRI technique in conjunction with DSI‐based fiber tractography, we describe a tractographic model of the dorsal attention network based on the cortical parcellation scheme previously published under the Human Connectome Project.

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          Most cited references57

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          Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition.

          Tasks that demand externalized attention reliably suppress default network activity while activating the dorsal attention network. These networks have an intrinsic competitive relationship; activation of one suppresses activity of the other. Consequently, many assume that default network activity is suppressed during goal-directed cognition. We challenge this assumption in an fMRI study of planning. Recent studies link default network activity with internally focused cognition, such as imagining personal future events, suggesting a role in autobiographical planning. However, it is unclear how goal-directed cognition with an internal focus is mediated by these opposing networks. A third anatomically interposed 'frontoparietal control network' might mediate planning across domains, flexibly coupling with either the default or dorsal attention network in support of internally versus externally focused goal-directed cognition, respectively. We tested this hypothesis by analyzing brain activity during autobiographical versus visuospatial planning. Autobiographical planning engaged the default network, whereas visuospatial planning engaged the dorsal attention network, consistent with the anti-correlated domains of internalized and externalized cognition. Critically, both planning tasks engaged the frontoparietal control network. Task-related activation of these three networks was anatomically consistent with independently defined resting-state functional connectivity MRI maps. Task-related functional connectivity analyses demonstrate that the default network can be involved in goal-directed cognition when its activity is coupled with the frontoparietal control network. Additionally, the frontoparietal control network may flexibly couple with the default and dorsal attention networks according to task domain, serving as a cortical mediator linking the two networks in support of goal-directed cognitive processes. Copyright 2010 Elsevier Inc. All rights reserved.
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            Parahippocampal and retrosplenial contributions to human spatial navigation.

            Spatial navigation is a core cognitive ability in humans and animals. Neuroimaging studies have identified two functionally defined brain regions that activate during navigational tasks and also during passive viewing of navigationally relevant stimuli such as environmental scenes: the parahippocampal place area (PPA) and the retrosplenial complex (RSC). Recent findings indicate that the PPA and RSC have distinct and complementary roles in spatial navigation, with the PPA more concerned with representation of the local visual scene and RSC more concerned with situating the scene within the broader spatial environment. These findings are a first step towards understanding the separate components of the cortical network that mediates spatial navigation in humans.
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              The human visual cortex.

              The discovery and analysis of cortical visual areas is a major accomplishment of visual neuroscience. In the past decade the use of noninvasive functional imaging, particularly functional magnetic resonance imaging (fMRI), has dramatically increased our detailed knowledge of the functional organization of the human visual cortex and its relation to visual perception. The fMRI method offers a major advantage over other techniques applied in neuroscience by providing a large-scale neuroanatomical perspective that stems from its ability to image the entire brain essentially at once. This bird's eye view has the potential to reveal large-scale principles within the very complex plethora of visual areas. Thus, it could arrange the entire constellation of human visual areas in a unified functional organizational framework. Here we review recent findings and methods employed to uncover the functional properties of the human visual cortex focusing on two themes: functional specialization and hierarchical processing.
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                Author and article information

                Contributors
                sughruevs@gmail.com
                Journal
                Brain Behav
                Brain Behav
                10.1002/(ISSN)2157-9032
                BRB3
                Brain and Behavior
                John Wiley and Sons Inc. (Hoboken )
                2162-3279
                19 September 2019
                October 2019
                : 9
                : 10 ( doiID: 10.1002/brb3.v9.10 )
                : e01365
                Affiliations
                [ 1 ] Department of Neurosurgery University of Oklahoma Health Science Center Oklahoma City Oklahoma
                [ 2 ] Department of Neurosurgery University of Southern California Miami Florida
                [ 3 ] Department of Neurosurgery Miami Miller School of Medicine Los Angeles California
                [ 4 ] Center for Minimally Invasive Neurosurgery Prince of Wales Private Hospital Sydney NSW Australia
                Author notes
                [*] [* ] Correspondence

                Michael E. Sughrue, Suite 3, Level 7 Prince of Wales Private Hospital, Barker Street, Randwick, New South Wales, 2031 Australia.

                Email: sughruevs@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-6302-4793
                https://orcid.org/0000-0001-9329-4471
                Article
                BRB31365
                10.1002/brb3.1365
                6790316
                31536682
                aa7adef5-f21c-46f4-b38c-0b3caf08a4a6
                © 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 March 2019
                : 23 May 2019
                Page count
                Figures: 4, Tables: 2, Pages: 14, Words: 10416
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                October 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.0 mode:remove_FC converted:13.10.2019

                Neurosciences
                anatomy,attention,parcellation,tractography
                Neurosciences
                anatomy, attention, parcellation, tractography

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