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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Latent variable GIMME using model implied instrumental variables (MIIVs).
TL;DR: Simulated data studies demonstrate that the LV-GIMME method can reliably detect relations among latent constructs, and that latent constructs provide more power to detect effects than using observed variables directly.
Journal ArticleDOI
Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
Changwon Jang,Elizabeth Quattrocki Knight,Chongwon Pae,Bumhee Park,Shin-Ae Yoon,Hae-Jeong Park +5 more
TL;DR: Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges, implying that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands.
Posted ContentDOI
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion
Ru Kong,Jingwei Li,Csaba Orban,Mert R. Sabuncu,Hesheng Liu,Alexander Schaefer,Nanbo Sun,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +10 more
TL;DR: The results suggest that individual-specific cortical network topography might serve as a fingerprint of human behavior, orthogonal to previously proposed functional connectivity fingerprints.
Posted ContentDOI
When makes you unique: temporality of the human brain fingerprint
TL;DR: In this article, the authors explore the dynamics of brain fingerprints along two complementary axes: 1) what is the optimal time scale at which brainprints integrate sufficient information, 2) when best identification happens.
Journal ArticleDOI
The normative modeling framework for computational psychiatry
TL;DR: Normative modeling is an emerging and innovative framework for mapping individual differences at the level of a single subject or observation in relation to a reference model, which can then be used to make statistical inferences at the individual level as discussed by the authors .
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
TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
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Complex network measures of brain connectivity: uses and interpretations.
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.
Journal ArticleDOI
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.”