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
Citations
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Discovering the Computational Relevance of Brain Network Organization
TL;DR: In this article, a new framework for understanding the role of connectivity in cognition is proposed, which utilizes connectivity to specify the transfer of information via neural activity flow processes, successfully predicting the formation of cognitive representations in empirical neural data.
Journal ArticleDOI
Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.
TL;DR: This work found that the ANN model applied to functional connectome data from very premature infants can predict cognitive outcome at 2 years of corrected age with an accuracy of 70.6% and area under receiver operating characteristic curve of 0.76.
Journal ArticleDOI
Dopaminergic modulation of hemodynamic signal variability and the functional connectome during cognitive performance.
Mohsen Alavash,Mohsen Alavash,Sung-Joo Lim,Sung-Joo Lim,Christiane M. Thiel,Bernhard Sehm,Lorenz Deserno,Jonas Obleser,Jonas Obleser +8 more
TL;DR: It is shown that enhanced dopaminergic signaling modulates the two potentially interrelated aspects of large‐scale cortical dynamics during cognitive performance, and the degree of these modulations is able to explain inter‐individual differences in l‐dopa‐induced behavioral benefits.
Posted ContentDOI
Individual differences in functional connectivity during naturalistic viewing conditions
Tamara Vanderwal,Jeffrey Eilbott,Emily S. Finn,R. Cameron Craddock,Adam Turnbull,Francisco X. Castellanos +5 more
TL;DR: It is found that movies have higher intra- and inter-subject correlations in cluster-wise FC relative to rest, and an unsupervised test-retest matching algorithm that identifies individual subjects from within a group based on functional connectivity patterns is used, quantifying the accuracy of the algorithm across the three conditions.
Journal ArticleDOI
Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI.
Maximilian Nentwich,Lei Ai,Jens Madsen,Qawi K. Telesford,Stefan Haufe,Michael P. Milham,Lucas C. Parra +6 more
TL;DR: The patterns of functional connectivity are distinct between fMRI and phase-coupling of EEG, but are nonetheless similar in their robustness to the task, and similar in that idiosyncratic patterns of connectivity predict individual phenotypes.
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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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.”