The relationship between spatial configuration and functional connectivity of brain regions

被引:139
作者
Bijsterbosch, Janine Diane [1 ]
Woolrich, Mark W. [2 ]
Glasser, Matthew F. [3 ,4 ]
Robinson, Emma C. [5 ]
Beckmann, Christian F. [6 ,7 ]
Van Essen, David C. [3 ]
Harrison, Samuel J. [1 ]
Smith, Stephen M. [1 ]
机构
[1] Univ Oxford, Nuffield Dept Clin Neurosci, Wellcome Ctr Integrat Neuroimaging, Ctr Funct MRI Brain, Oxford, England
[2] Univ Oxford, Dept Psychiat, Ctr Human Brain Act, Wellcome Ctr Integrat Neuroimaging, Oxford, England
[3] Washington Univ, Sch Med, Dept Neurosci, St Louis, MO 63130 USA
[4] St Lukes Hosp, Chesterfield, MO USA
[5] Kings Coll London, Sch Biomed Engn & Imaging Sci, Dept Biomed Engn, London, England
[6] Radboud Univ Nijmegen, Donders Inst, Med Ctr, Nijmegen, Netherlands
[7] Radboud Univ Nijmegen, Dept Cognit Neurosci, Med Ctr, Nijmegen, Netherlands
来源
ELIFE | 2018年 / 7卷
基金
英国惠康基金; 美国国家卫生研究院;
关键词
INDEPENDENT COMPONENT ANALYSIS; RESTING-STATE FMRI; CONNECTOME; PARCELLATION; MRI; NETWORKS; ORGANIZATION; INDIVIDUALS; AMPLITUDE; DISTINCT;
D O I
10.7554/eLife.32992
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Brain connectivity is often considered in terms of the communication between functionally distinct brain regions. Many studies have investigated the extent to which patterns of coupling strength between multiple neural populations relates to behaviour. For example, studies have used 'functional connectivity fingerprints' to characterise individuals' brain activity. Here, we investigate the extent to which the exact spatial arrangement of cortical regions interacts with measures of brain connectivity. We find that the shape and exact location of brain regions interact strongly with the modelling of brain connectivity, and present evidence that the spatial arrangement of functional regions is strongly predictive of non-imaging measures of behaviour and lifestyle. We believe that, in many cases, cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity. Therefore, a better understanding of these effects is important when interpreting the relationship between functional imaging data and cognitive traits.
引用
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页数:27
相关论文
共 67 条
[1]   Capturing inter-subject variability with group independent component analysis of fMRI data: A simulation study [J].
Allen, Elena A. ;
Erhardt, Erik B. ;
Wei, Yonghua ;
Eichele, Tom ;
Calhoun, Vince D. .
NEUROIMAGE, 2012, 59 (04) :4141-4159
[2]   Brodmann's areas 17 and 18 brought into stereotaxic space - Where and how variable? [J].
Amunts, K ;
Malikovic, A ;
Mohlberg, H ;
Schormann, T ;
Zilles, K .
NEUROIMAGE, 2000, 11 (01) :66-84
[3]   Investigations into resting-state connectivity using independent component analysis [J].
Beckmann, CF ;
DeLuca, M ;
Devlin, JT ;
Smith, SM .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2005, 360 (1457) :1001-1013
[4]   The ''independent components'' of natural scenes are edge filters [J].
Bell, AJ ;
Sejnowski, TJ .
VISION RESEARCH, 1997, 37 (23) :3327-3338
[5]   Investigations into within- and between-subject resting-state amplitude variations [J].
Bijsterbosch, Janine ;
Harrison, Samuel ;
Duff, Eugene ;
Alfaro-Almagro, Fidel ;
Woolrich, Mark ;
Smith, Stephen .
NEUROIMAGE, 2017, 159 :57-69
[6]  
Bijsterbosch JD, 2017, SPATIAL NETMAT SCRIP
[7]   FUNCTIONAL CONNECTIVITY IN THE MOTOR CORTEX OF RESTING HUMAN BRAIN USING ECHO-PLANAR MRI [J].
BISWAL, B ;
YETKIN, FZ ;
HAUGHTON, VM ;
HYDE, JS .
MAGNETIC RESONANCE IN MEDICINE, 1995, 34 (04) :537-541
[8]   Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity [J].
Braga, Rodrigo M. ;
Buckner, Randy L. .
NEURON, 2017, 95 (02) :457-+
[9]   Dissecting psychiatric spectrum disorders by generative embedding [J].
Brodersen, Kay H. ;
Deserno, Lorenz ;
Schlagenhauf, Florian ;
Lin, Zhihao ;
Penny, Will D. ;
Buhmann, Joachim M. ;
Stephan, Klaas E. .
NEUROIMAGE-CLINICAL, 2014, 4 :98-111
[10]   A method for making group inferences from functional MRI data using independent component analysis [J].
Calhoun, VD ;
Adali, T ;
Pearlson, GD ;
Pekar, JJ .
HUMAN BRAIN MAPPING, 2001, 14 (03) :140-151