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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Identification of individual subjects on the basis of their brain anatomical features.
Seyed Abolfazl Valizadeh,Seyed Abolfazl Valizadeh,Franziskus Liem,Susan Mérillat,Jürgen Hänggi,Lutz Jäncke +5 more
TL;DR: Interestingly, using the small 11LBR dataset also revealed very good results indicating that the human brain is highly individual, particularly for the LDA technique.
Journal ArticleDOI
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Arian Ashourvan,Arian Ashourvan,Qawi K. Telesford,Qawi K. Telesford,Timothy Verstynen,Jean M. Vettel,Jean M. Vettel,Jean M. Vettel,Danielle S. Bassett +8 more
TL;DR: In this article, a multi-scale extension of a common community detection technique is proposed, which links a graph to copies of itself across neighboring topological scales, thereby becoming sensitive to conserved community organization across levels of the hierarchy.
Journal ArticleDOI
Test-retest reliability of dynamic functional connectivity in resting state fMRI.
TL;DR: The authors explored the relationship between sFC, dFC and their test-retest reliabilities through intra-class correlation (ICC) through sliding window approach with three dFC statistics (standard deviation, ALFF, and excursion).
Journal ArticleDOI
High-accuracy individual identification using a “thin slice” of the functional connectome
Lisa Byrge,Daniel P. Kennedy +1 more
TL;DR: It is shown that a strikingly small fraction of the functional connectome is actually needed to predict individual identity and that although certain functional connections may be most informative, even small fractions of the connectome selected at random can be used to identify individuals, and that no specific connections or even networks are actually necessary.
Journal ArticleDOI
Targeting brain networks with multichannel transcranial current stimulation (tCS)
TL;DR: Some of the recent work in Multichannel transcranial electrical stimulation is reviewed and an outlook for future modeling and experimental work is provided, as well as for developing its clinical applications in fields such as epilepsy.
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.
Journal ArticleDOI
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
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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Research domain criteria (RDoC): toward a new classification framework for research on mental disorders
Journal ArticleDOI
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.”