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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Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.
Amanda F. Mejia,Mary Beth Nebel,Anita D. Barber,Ann S. Choe,James J. Pekar,Brian Caffo,Martin A. Lindquist +6 more
TL;DR: It is found that shrinkage estimates of subject‐level FC exhibit substantially greater reliability than traditional estimates across various scan durations, even for the most reliable connections and regardless of connectivity measure.
Posted ContentDOI
Shared and unique brain network features predict cognition, personality and mental health in childhood
Jianzhong Chen,Angela Tam,Valeria Kebets,Csaba Orban,Leon Qi Rong Ooi,Scott Marek,Nico U.F. Dosenbach,Simon B. Eickhoff,Danilo Bzdok,Avram J. Holmes,B.T. Thomas Yeo +10 more
TL;DR: Overall, the findings reveal shared brain network features that account for individual variation within broad domains of behavior in childhood, yet are unique to different behavioral domains.
Journal ArticleDOI
Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI
Thomas A. W. Bolton,Thomas A. W. Bolton,Valeria Kebets,Enrico Glerean,Daniela Zöller,Jingwei Li,B.T. Thomas Yeo,César Caballero-Gaudes,Dimitri Van De Ville +8 more
TL;DR: This paper studied individual motion time courses at time points typically retained in fMRI analyses and found that motion exhibited a very clear spatio-temporal structure, so that they could distinguish subjects into separate groups of movers with varying characteristics.
Journal ArticleDOI
Sensory-biased attention networks in human lateral frontal cortex revealed by intrinsic functional connectivity.
TL;DR: A series of functional connectivity analyses were conducted to validate and expand this analysis to 469 subjects from the Human Connectome Project (HCP) and demonstrate that sensory‐biased attention networks may have widespread influence in lateral frontal cortical organization.
Journal ArticleDOI
GEFF: Graph embedding for functional fingerprinting.
Kausar Abbas,Enrico Amico,Diana O. Svaldi,Uttara Tipnis,Duy Anh Duong-Tran,Mintao Liu,Meenusree Rajapandian,Jaroslaw Harezlak,Beau M. Ances,Joaquín Goñi +9 more
TL;DR: An embedding framework, GEFF (Graph Embedding for Functional Fingerprinting), based on group-level decomposition of FCs into eigenvectors is proposed, providing a deeper insight into the extent of variance in functional connectivity across individuals and cognitive states.
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
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.”