Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations

被引:406
作者
Deco, Gustavo [1 ,2 ]
Ponce-Alvarez, Adrian [1 ]
Mantini, Dante [3 ,4 ]
Romani, Gian Luca [5 ]
Hagmann, Patric [6 ,7 ,8 ]
Corbetta, Maurizio [5 ,9 ]
机构
[1] Univ Pompeu Fabra, Dept Informat & Commun Technol, Computat Neurosci Grp, Ctr Brain & Cognit, Barcelona 08018, Spain
[2] Univ Pompeu Fabra, Inst Catalana Recerca & Estudis Avancats, Barcelona 08010, Spain
[3] ETH, Dept Hlth Sci & Technol, CH-8057 Zurich, Switzerland
[4] Univ Oxford, Dept Expt Psychol, Oxford OX1 3UD, England
[5] Univ G DAnnunzio, Dept Neurosci & Imaging, G dAnnunzio Univ Fdn, Inst Adv Biomed Technol, I-66013 Chieti, Italy
[6] Univ Lausanne Hosp, Dept Radiol, CH-1011 Lausanne, Switzerland
[7] Univ Lausanne, CH-1011 Lausanne, Switzerland
[8] Ecole Polytech Fed Lausanne, Signal Proc Lab 5, CH-1015 Lausanne, Switzerland
[9] Washington Univ, Sch Med, Dept Neurol, St Louis, MO 63110 USA
基金
欧洲研究理事会; 美国国家卫生研究院;
关键词
HUMAN BRAIN; CEREBRAL-CORTEX; DEFAULT MODE; CORTICAL NETWORK; NEURONS; NEUROMODULATION; MULTISTABILITY; OSCILLATIONS; INTEGRATION; INHIBITION;
D O I
10.1523/JNEUROSCI.1091-13.2013
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Brain fluctuations at rest are not random but are structured in spatial patterns of correlated activity across different brain areas. The question of how resting-state functional connectivity (FC) emerges from the brain's anatomical connections has motivated several experimental and computational studies to understand structure-function relationships. However, the mechanistic origin of resting state is obscured by large-scale models' complexity, and a close structure-function relation is still an open problem. Thus, a realistic but simple enough description of relevant brain dynamics is needed. Here, we derived a dynamic mean field model that consistently summarizes the realistic dynamics of a detailed spiking and conductance-based synaptic large-scale network, in which connectivity is constrained by diffusion imaging data from human subjects. The dynamic mean field approximates the ensemble dynamics, whose temporal evolution is dominated by the longest time scale of the system. With this reduction, we demonstrated that FC emerges as structured linear fluctuations around a stable low firing activity state close to destabilization. Moreover, the model can be further and crucially simplified into a set of motion equations for statistical moments, providing a direct analytical link between anatomical structure, neural network dynamics, and FC. Our study suggests that FC arises from noise propagation and dynamical slowing down of fluctuations in an anatomically constrained dynamical system. Altogether, the reduction from spiking models to statistical moments presented here provides a new framework to explicitly understand the building up of FC through neuronal dynamics underpinned by anatomical connections and to drive hypotheses in task-evoked studies and for clinical applications.
引用
收藏
页码:11239 / 11252
页数:14
相关论文
共 47 条
[1]
Drivers and modulators from push-pull and balanced synaptic input [J].
Abbott, LF ;
Chance, FS .
CORTICAL FUNCTION: A VIEW FROM THE THALAMUS, 2005, 149 :147-155
[2]
Critical fluctuations in cortical models near instability [J].
Aburn, Matthew J. ;
Holmes, C. A. ;
Roberts, James A. ;
Boonstra, Tjeerd W. ;
Breakspear, Michael .
FRONTIERS IN PHYSIOLOGY, 2012, 3
[3]
DYNAMICS OF NEURONAL FIRING CORRELATION - MODULATION OF EFFECTIVE CONNECTIVITY [J].
AERTSEN, AMHJ ;
GERSTEIN, GL ;
HABIB, MK ;
PALM, G .
JOURNAL OF NEUROPHYSIOLOGY, 1989, 61 (05) :900-917
[4]
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
[5]
Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality [J].
Brovelli, A ;
Ding, MZ ;
Ledberg, A ;
Chen, YH ;
Nakamura, R ;
Bressler, SL .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (26) :9849-9854
[6]
Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition [J].
Brunel, N ;
Wang, XJ .
JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2001, 11 (01) :63-85
[7]
Complex brain networks: graph theoretical analysis of structural and functional systems [J].
Bullmore, Edward T. ;
Sporns, Olaf .
NATURE REVIEWS NEUROSCIENCE, 2009, 10 (03) :186-198
[8]
SPONTANEOUS ACTIVITY OF NEURONS IN CATS CEREBRAL-CORTEX [J].
BURNS, BD ;
WEBB, AC .
PROCEEDINGS OF THE ROYAL SOCIETY SERIES B-BIOLOGICAL SCIENCES, 1976, 194 (1115) :211-223
[9]
Role of local network oscillations in resting-state functional connectivity [J].
Cabral, Joana ;
Hugues, Etienne ;
Sporns, Olaf ;
Deco, Gustavo .
NEUROIMAGE, 2011, 57 (01) :130-139
[10]
A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain [J].
de Pasquale, Francesco ;
Della Penna, Stefania ;
Snyder, Abraham Z. ;
Marzetti, Laura ;
Pizzella, Vittorio ;
Romani, Gian Luca ;
Corbetta, Maurizio .
NEURON, 2012, 74 (04) :753-764