Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
Emily S. Finn,Xilin Shen,Dustin Scheinost,Monica D. Rosenberg,Jessica S. Huang,Marvin M. Chun,Xenophon Papademetris,R. Todd Constable +7 more
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In this article, the authors show that every individual has a unique pattern of functional connections between brain regions, which act as a fingerprint that can accurately identify the individual from a large group.Abstract:
This study shows that every individual has a unique pattern of functional connections between brain regions. This functional connectivity profile acts as a ‘fingerprint’ that can accurately identify the individual from a large group. Furthermore, an individual's connectivity profile can predict his or her level of fluid intelligence.read more
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An information network flow approach for measuring functional connectivity and predicting behavior
Sreejan Kumar,Kwangsun Yoo,Monica D. Rosenberg,Monica D. Rosenberg,Dustin Scheinost,R. Todd Constable,Sheng Zhang,Chiang-Shan R. Li,Marvin M. Chun +8 more
TL;DR: A more generalized metric of FC based on information flow is developed, which represents FC by abstracting the brain as a flow network of nodes that send bits of information to each other, where bits are quantified through an information theory statistic called transfer entropy.
Journal ArticleDOI
Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.
TL;DR: Network models predicted novel individuals’ inhibition and shifting from FC data in both a leave-one-out, and split halves, cross-validation, substantially add to knowledge on the neural expressions of inhibition and shift across children with and without a neurodevelopmental condition.
Posted ContentDOI
The neural basis of intelligence in fine-grained cortical topographies
TL;DR: A computational algorithm, hyperalignment, is used to resolve idiosyncratic topographies of cortical topographies, and it is found that predictions of general intelligence based on fine-grained (vertex-by-vertex) connectivity patterns were markedly stronger than predictions based on coarse- grained (region- by-region) patterns.
Journal ArticleDOI
Functional Connectivity and Genetic Profile of a "Double-Cortex"-Like Malformation.
Giulia Sprugnoli,Giampaolo Vatti,Simone Rossi,Alfonso Cerase,Alessandra Renieri,Maria Antonietta Mencarelli,Federico Zara,Alessandro Rossi,Emiliano Santarnecchi,Emiliano Santarnecchi +9 more
TL;DR: This first FC analysis of a unique case of “double-cortex”-like malformation revealed a hemispheric connectivity segregation both in the laminar cortex as in the correctly migrated one, with a new pattern of genes’ mutations.
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Synchronization patterns in LIF Neural Networks: Merging Nonlocal and Diagonal Connectivity
TL;DR: In this paper, the effect of non-local and reflecting connectivities in coupled Leaky Integrate-and-Fire (LIF) elements was investigated and the authors determined the range of optimal parameter regions where chimera states appeared.
References
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Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
Nathalie Tzourio-Mazoyer,B. Landeau,D. Papathanassiou,Fabrice Crivello,Octave Etard,Nicolas Delcroix,Bernard Mazoyer,Marc Joliot +7 more
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Mikail Rubinov,Olaf Sporns +1 more
TL;DR: Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B.T. Thomas Yeo,Fenna M. Krienen,Jorge Sepulcre,Jorge Sepulcre,Mert R. Sabuncu,Mert R. Sabuncu,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
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Research domain criteria (RDoC): toward a new classification framework for research on mental disorders
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Correspondence of the brain's functional architecture during activation and rest.
Stephen M. Smith,Peter T. Fox,Karla L. Miller,David C. Glahn,P. Mickle Fox,Clare E. Mackay,Nicola Filippini,Kate E. Watkins,Roberto Toro,Angela R. Laird,Christian F. Beckmann,Christian F. Beckmann +11 more
TL;DR: It is concluded that the full repertoire of functional networks utilized by the brain in action is continuously and dynamically “active” even when at “rest.”