Brain activity at rest: a multiscale hierarchical functional organization.

Spontaneous brain activity was mapped with functional MRI (fMRI) in a sample of 180 subjects while in a conscious resting-state condition. With the use of independent component analysis (ICA) of each individual fMRI signal and classification of the ICA-defined components across subjects, a set of 23 resting-state networks (RNs) was identified. Functional connectivity between each pair of RNs was assessed using temporal correlation analyses in the 0.01- to 0.1-Hz frequency band, and the corresponding set of correlation coefficients was used to obtain a hierarchical clustering of the 23 RNs. At the highest hierarchical level, we found two anticorrelated systems in charge of intrinsic and extrinsic processing, respectively. At a lower level, the intrinsic system appears to be partitioned in three modules that subserve generation of spontaneous thoughts (M1a; default mode), inner maintenance and manipulation of information (M1b), and cognitive control and switching activity (M1c), respectively. The extrinsic system was found to be made of two distinct modules: one including primary somatosensory and auditory areas and the dorsal attentional network (M2a) and the other encompassing the visual areas (M2b). Functional connectivity analyses revealed that M1b played a central role in the functioning of the intrinsic system, whereas M1c seems to mediate exchange of information between the intrinsic and extrinsic systems.

[1]  K. Christoff,et al.  Experience sampling during fMRI reveals default network and executive system contributions to mind wandering , 2009, Proceedings of the National Academy of Sciences.

[2]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[3]  Rafael Malach,et al.  Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. , 2007, Cerebral cortex.

[4]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[5]  S. C. Johnson Hierarchical clustering schemes , 1967, Psychometrika.

[6]  E. Bullmore,et al.  Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.

[7]  Justin L. Vincent,et al.  Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. , 2008, Journal of neurophysiology.

[8]  Edward E. Smith,et al.  Neuroimaging studies of working memory: , 2003, Cognitive, affective & behavioral neuroscience.

[9]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[10]  M. Mesulam Representation, inference, and transcendent encoding in neurocognitive networks of the human brain , 2008, Annals of neurology.

[11]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[12]  Scott T. Grafton,et al.  Wandering Minds: The Default Network and Stimulus-Independent Thought , 2007, Science.

[13]  Christoph Stippich,et al.  Somatotopic mapping of the human primary sensorimotor cortex during motor imagery and motor execution by functional magnetic resonance imaging , 2002, Neuroscience Letters.

[14]  Barry Dainton,et al.  Stream of Consciousness , 2000, Tragedy of the Commons (Poetry).

[15]  C. Curtis,et al.  Persistent activity in the prefrontal cortex during working memory , 2003, Trends in Cognitive Sciences.

[16]  S. Kosslyn,et al.  Impact of fMRI Acoustic Noise on the Functional Anatomy of Visual Mental Imagery , 2002, Journal of Cognitive Neuroscience.

[17]  Daniel L. Schacter,et al.  Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition , 2010, NeuroImage.

[18]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[19]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[20]  S. Kosslyn,et al.  Functional Anatomy of High-Resolution Visual Mental Imagery , 2000, Journal of Cognitive Neuroscience.

[21]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[22]  S. Bressler,et al.  Large-scale brain networks in cognition: emerging methods and principles , 2010, Trends in Cognitive Sciences.

[23]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[24]  M. Raichle Two views of brain function , 2010, Trends in Cognitive Sciences.

[25]  Tom Minka,et al.  Automatic Choice of Dimensionality for PCA , 2000, NIPS.

[26]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[27]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[28]  R. Malach,et al.  Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems , 2008, Neuropsychologia.

[29]  B. Mazoyer,et al.  Cortical networks for working memory and executive functions sustain the conscious resting state in man , 2001, Brain Research Bulletin.

[30]  P. Fransson Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis , 2005, Human brain mapping.

[31]  A. Dale,et al.  Functional Analysis of V3A and Related Areas in Human Visual Cortex , 1997, The Journal of Neuroscience.

[32]  C. Curtis Prefrontal and parietal contributions to spatial working memory , 2006, Neuroscience.

[33]  M. Raichle,et al.  Anatomic Localization and Quantitative Analysis of Gradient Refocused Echo-Planar fMRI Susceptibility Artifacts , 1997, NeuroImage.

[34]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[35]  Athena Demertzi,et al.  Two Distinct Neuronal Networks Mediate the Awareness of Environment and of Self , 2011, Journal of Cognitive Neuroscience.

[36]  T. Sejnowski,et al.  Independent component analysis of fMRI data: Examining the assumptions , 1998, Human brain mapping.

[37]  V. Menon,et al.  Saliency, switching, attention and control: a network model of insula function , 2010, Brain Structure and Function.

[38]  B. Efron,et al.  Bootstrap confidence levels for phylogenetic trees. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[39]  Jarkko Ylipaavalniemi,et al.  Analyzing consistency of independent components: An fMRI illustration , 2008, NeuroImage.

[40]  Jeffrey R. Binder,et al.  Interrupting the “stream of consciousness”: An fMRI investigation , 2006, NeuroImage.

[41]  Alan C. Evans,et al.  Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.

[42]  Yuan Zhou,et al.  The relationship within and between the extrinsic and intrinsic systems indicated by resting state correlational patterns of sensory cortices , 2007, NeuroImage.

[43]  Amir Amedi,et al.  Negative BOLD in Sensory Cortices During Verbal Memory: A Component in Generating Internal Representations? , 2009, Brain Topography.

[44]  Hidetoshi Shimodaira,et al.  Pvclust: an R package for assessing the uncertainty in hierarchical clustering , 2006, Bioinform..