Efficiency and cost of economical brain functional networks

被引:2350
作者
Achard, Sophie [1 ]
Bullmore, Edward T. [1 ]
机构
[1] Univ Cambridge, Addenbrookes Hosp, Brain Mapping Unit, Cambridge CB2 1TN, England
基金
英国医学研究理事会; 英国惠康基金;
关键词
D O I
10.1371/journal.pcbi.0030017
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Brain anatomical networks are sparse, complex, and have economical small-world properties. We investigated the efficiency and cost of human brain functional networks measured using functional magnetic resonance imaging ( fMRI) in a factorial design: two groups of healthy old (N = 11; mean age = 66.5 years) and healthy young ( N 15; mean age 24.7 years) volunteers were each scanned twice in a no-task or "resting'' state following placebo or a single dose of a dopamine receptor antagonist (sulpiride 400 mg). Functional connectivity between 90 cortical and subcortical regions was estimated by wavelet correlation analysis, in the frequency interval 0.06-0.11 Hz, and thresholded to construct undirected graphs. These brain functional networks were small-world and economical in the sense of providing high global and local efficiency of parallel information processing for low connection cost. Efficiency was reduced disproportionately to cost in older people, and the detrimental effects of age on efficiency were localised to frontal and temporal cortical and subcortical regions. Dopamine antagonism also impaired global and local efficiency of the network, but this effect was differentially localised and did not interact with the effect of age. Brain functional networks have economical small-world properties-supporting efficient parallel information transfer at relatively low cost-which are differently impaired by normal aging and pharmacological blockade of dopamine transmission.
引用
收藏
页码:174 / 183
页数:10
相关论文
共 52 条
[1]
A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs [J].
Achard, S ;
Salvador, R ;
Whitcher, B ;
Suckling, J ;
Bullmore, ET .
JOURNAL OF NEUROSCIENCE, 2006, 26 (01) :63-72
[2]
Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[3]
Emotional task-dependent low-frequency fluctuations and methylphenidate: Wavelet scaling analysis of 1/f-type fluctuations in fMRI of the cerebellar vermis [J].
Anderson, CM ;
Lowen, SB ;
Renshaw, PF .
JOURNAL OF NEUROSCIENCE METHODS, 2006, 151 (01) :52-61
[4]
[Anonymous], 2004, Neuropsychological Assessment
[5]
ARNSTEN AFT, 1995, J NEUROSCI, V15, P3429
[6]
DOPAMINE D-1 RECEPTOR MECHANISMS IN THE COGNITIVE PERFORMANCE OF YOUNG-ADULT AND AGED MONKEYS [J].
ARNSTEN, AFT ;
CAI, JX ;
MURPHY, BL ;
GOLDMANRAKIC, PS .
PSYCHOPHARMACOLOGY, 1994, 116 (02) :143-151
[7]
Dopaminergic effects on electrophysiological and functional MRI measures of human cortical stimulus-response power laws [J].
Arthurs, OJ ;
Stephenson, CME ;
Rice, K ;
Lupson, V ;
Spiegelhalter, DJ ;
Boniface, SJ ;
Bullmore, ET .
NEUROIMAGE, 2004, 21 (02) :540-546
[8]
Small-world brain networks [J].
Bassett, Danielle Smith ;
Bullmore, Edward T. .
NEUROSCIENTIST, 2006, 12 (06) :512-523
[9]
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
[10]
Beran J., 1994, Statistics for long-memory processes