Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity

被引:208
作者
Hillary, Frank G. [1 ,2 ,3 ]
Grafman, Jordan H. [4 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
[2] Social Life & Engn Sci Imaging Ctr, University Pk, PA 16802 USA
[3] Hershey Med Ctr, Dept Neurol, Hershey, PA 17033 USA
[4] Northwestern Univ, Feinberg Sch Med, Chicago, IL 60611 USA
关键词
STATE FUNCTIONAL CONNECTIVITY; DEFAULT-MODE NETWORK; CORTICO-STRIATAL CONNECTIVITY; WORKING-MEMORY PERFORMANCE; ALZHEIMERS-DISEASE; MULTIPLE-SCLEROSIS; AMYLOID-BETA; SMALL-WORLD; STRUCTURAL CONNECTIVITY; COGNITIVE IMPAIRMENT;
D O I
10.1016/j.tics.2017.03.003
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
A common finding in human functional brain-imaging studies is that damage to neural systems paradoxically results in enhanced functional connectivity between network regions, a phenomenon commonly referred to as 'hyperconnectivity'. Here, we describe the various ways that hyperconnectivity operates to benefit a neural network following injury while simultaneously negotiating the trade-off between metabolic cost and communication efficiency. Hyperconnectivity may be optimally expressed by increasing connections through the most central and metabolically efficient regions (i.e., hubs). While adaptive in the short term, we propose that chronic hyperconnectivity may leave network hubs vulnerable to secondary pathological processes over the life span due to chronically elevated metabolic stress. We conclude by offering novel, testable hypotheses for advancing our understanding of the role of hyperconnectivity in systems-level brain plasticity in neurological disorders.
引用
收藏
页码:385 / 401
页数:17
相关论文
共 142 条
[1]   Efficiency and cost of economical brain functional networks [J].
Achard, Sophie ;
Bullmore, Edward T. .
PLOS COMPUTATIONAL BIOLOGY, 2007, 3 (02) :174-183
[2]   Brain networks under attack: robustness properties and the impact of lesions [J].
Aerts, Hannelore ;
Fias, Wim ;
Caeyenberghs, Karen ;
Marinazzo, Daniele .
BRAIN, 2016, 139 :3063-3083
[3]   Resting state fMRI in Alzheimer's disease: beyond the default mode network [J].
Agosta, Federica ;
Pievani, Michela ;
Geroldi, Cristina ;
Copetti, Massimiliano ;
Frisoni, Giovanni B. ;
Filippi, Massimo .
NEUROBIOLOGY OF AGING, 2012, 33 (08) :1564-1578
[4]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[5]   Relationships between years of education and gray matter volume, metabolism and functional connectivity in healthy elders [J].
Arenaza-Urquijo, Eider M. ;
Landeau, Brigitte ;
La Joie, Renaud ;
Mevel, Katell ;
Mezenge, Florence ;
Perrotin, Audrey ;
Desgranges, Beatrice ;
Bartres-Faz, David ;
Eustache, Francis ;
Chetelat, Gael .
NEUROIMAGE, 2013, 83 :450-457
[6]   NEUROFIBRILLARY TANGLES BUT NOT SENILE PLAQUES PARALLEL DURATION AND SEVERITY OF ALZHEIMERS-DISEASE [J].
ARRIAGADA, PV ;
GROWDON, JH ;
HEDLEYWHYTE, ET ;
HYMAN, BT .
NEUROLOGY, 1992, 42 (03) :631-639
[7]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[8]   Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve [J].
Barulli, Daniel ;
Stern, Yaakov .
TRENDS IN COGNITIVE SCIENCES, 2013, 17 (10) :502-509
[9]   Cognitive fitness of cost-efficient brain functional networks [J].
Bassett, Danielle S. ;
Bullmore, Edward T. ;
Meyer-Lindenberg, Andreas ;
Apud, Jose A. ;
Weinberger, Daniel R. ;
Coppola, Richard .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (28) :11747-11752
[10]   Adaptive reconfiguration of fractal small-world human brain functional networks [J].
Bassettt, Danielle S. ;
Meyer-Lindenberg, Andreas ;
Achard, Sophie ;
Duke, Thomas ;
Bullmore, Edward T. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (51) :19518-19523