Research Topics
| O SpornsSummaryAffiliation: Indiana University Country: USA Publications
Research Grants
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Detail Information
Publications
Small worlds inside big brainsOlaf Sporns
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
Proc Natl Acad Sci U S A 103:19219-20. 2006
Network structure of cerebral cortex shapes functional connectivity on multiple time scalesChristopher J Honey
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
Proc Natl Acad Sci U S A 104:10240-5. 2007....
Neuromodulation and plasticity in an autonomous robotOlaf Sporns
Neural Netw 15:761-74. 2002..These studies represent a step towards investigating computational aspects of neuromodulatory systems in autonomous robots...
Identification and classification of hubs in brain networksOlaf Sporns
Department of Psychological and Brain Sciences and Program in Cognitive Science, Indiana University, Bloomington, Indiana, United States of America
PLoS ONE 2:e1049. 2007....
Dynamical consequences of lesions in cortical networksChristopher J Honey
Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405, USA
Hum Brain Mapp 29:802-9. 2008....
From simple graphs to the connectome: networks in neuroimagingOlaf Sporns
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
Neuroimage 62:881-6. 2012..This article offers a personal perspective on the confluence of networks and neuroimaging, charting the origins of some of its major intellectual themes...
Measuring information integrationGiulio Tononi
Department of Psychiatry, University of Wisconsin, Madison, USA
BMC Neurosci 4:31. 2003..The paper considers a measure based on effective information, a quantity capturing all causal interactions that can occur between two parts of a system...
Symbiotic relationship between brain structure and dynamicsMikail Rubinov
Black Dog Institute and School of Psychiatry, University of New South Wales, Sydney, Australia
BMC Neurosci 10:55. 2009..We provide further biophysical justification for this model and quantitatively characterize the relationship between structure, function and dynamics that accompanies the ensuing self-organization...
Small-world connectivity, motif composition, and complexity of fractal neuronal connectionsOlaf Sporns
Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN 47405, USA
Biosystems 85:55-64. 2006..Measures obtained from some modeled fractal patterns closely resemble those of real neuroanatomical data sets, supporting the original hypothesis...
The human connectome: A structural description of the human brainOlaf Sporns
Department of Psychology, Indiana University, Bloomington, Indiana, United States of America
PLoS Comput Biol 1:e42. 2005..We propose a research strategy to achieve this goal, and discuss its potential impact...
Motifs in brain networksOlaf Sporns
Department of Psychology and Program in Cognitive Science, Indiana University, Bloomington, Indiana, USA
PLoS Biol 2:e369. 2004..These results are consistent with the hypothesis that highly evolved neural architectures are organized to maximize functional repertoires and to support highly efficient integration of information...
Organization, development and function of complex brain networksOlaf Sporns
Department of Psychology and Programs in Cognitive and Neural Science, Indiana University, Bloomington, IN 47405, USA
Trends Cogn Sci 8:418-25. 2004..We suggest that network analysis offers new fundamental insights into global and integrative aspects of brain function, including the origin of flexible and coherent cognitive states within the neural architecture...
The small world of the cerebral cortexOlaf Sporns
Department of Psychology, Indiana University, Bloomington 47405, USA
Neuroinformatics 2:145-62. 2004..We discuss the significance of these universal organizational features of cortex in light of functional brain anatomy. Supplementary materials are at www.indiana.edu/~cortex/lab.htm...
The human connectome: a complex networkOlaf Sporns
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
Ann N Y Acad Sci 1224:109-25. 2011..Future studies of the human connectome will greatly expand our knowledge of network topology and dynamics in the healthy, developing, aging, and diseased brain...
Theoretical neuroanatomy and the connectivity of the cerebral cortexO Sporns
The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA
Behav Brain Res 135:69-74. 2002..The combined structural and functional analysis outlined in this chapter provides insight into the large-scale functional organization of distributed cortical systems...
Connectivity and complexity: the relationship between neuroanatomy and brain dynamicsO Sporns
The Neurosciences Institute, San Diego, CA 92121, USA
Neural Netw 13:909-22. 2000..Our theoretical findings offer new insight into the intricate relationship between connectivity and complexity in the nervous system...
Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matricesO Sporns
The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA
Cereb Cortex 10:127-41. 2000..We hypothesize that adaptation to rich sensory environments and motor demands requires complex dynamics and that these dynamics are supported by neuroanatomical motifs that are characteristic of the cerebral cortex...
Modeling the impact of lesions in the human brainJeffrey Alstott
Program in Cognitive Science, Indiana University, Bloomington, Indiana, USA
PLoS Comput Biol 5:e1000408. 2009..The model suggests that dynamic lesion effects can be predicted on the basis of specific network measures of structural brain networks and that these effects may be related to known behavioral and cognitive consequences of brain lesions...
Measures of degeneracy and redundancy in biological networksG Tononi
The Neurosciences Institute, 10640 John J Hopkins Drive, San Diego, CA 92121, USA
Proc Natl Acad Sci U S A 96:3257-62. 1999..These measures promise to be useful in characterizing and understanding the functional robustness and adaptability of biological networks...
Predicting human resting-state functional connectivity from structural connectivityC J Honey
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
Proc Natl Acad Sci U S A 106:2035-40. 2009....
A large-scale neurocomputational model of task-oriented behavior selection and working memory in prefrontal cortexGeorge L Chadderdon
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
J Cogn Neurosci 18:242-57. 2006..Our simulation results suggest a range of predictions for behavioral, single-cell, and neuroimaging response data under the proposed task set and under manipulations of DA concentration...
Can structure predict function in the human brain?Christopher J Honey
Department of Psychology, Princeton University, Princeton, NJ 08540, USA
Neuroimage 52:766-76. 2010....
EEG synchronization to modulated auditory tones in schizophrenia, schizoaffective disorder, and schizotypal personality disorderColleen A Brenner
Department of Psychology, Indiana University, 1101 East Tenth St, Bloomington, IN 47405, USA
Am J Psychiatry 160:2238-40. 2003..These deficits reflect aberrant neural synchronization or resolution and may contribute to disturbed perceptual and cognitive integration in schizophrenia...
Mapping the structural core of human cerebral cortexPatric Hagmann
Department of Radiology, University Hospital Center and University of Lausanne CHUV, Lausanne, Switzerland
PLoS Biol 6:e159. 2008..The spatial and topological centrality of the core within cortex suggests an important role in functional integration...
Neurorobotic models in neuroscience and neuroinformaticsAnil K Seth
Neuroinformatics 3:167-70. 2005
Methods for quantifying the informational structure of sensory and motor dataMax Lungarella
Department of Mechano-Informatics, School of Information Science and Technology, University of Tokyo, 113-8656 Tokyo, Japan
Neuroinformatics 3:243-62. 2005....
Mapping information flow in sensorimotor networksMax Lungarella
Department of Mechano Informatics, The University of Tokyo, Tokyo, Japan
PLoS Comput Biol 2:e144. 2006....
Research Grants
- Neuro-Robotic Models of Learning and AddictionOlaf Sporns; Fiscal Year: 2003..A comprehensive and detailed embodied (robot) model has the potential of serving as a unique explanatory and predictive tool aiding in future empirical research on drug abuse and addiction. ..
