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
TLDR
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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Aerobic Fitness Explains Individual Differences in the Functional Brain Connectome of Healthy Young Adults
Tanveer Talukdar,Aki Nikolaidis,Christopher E. Zwilling,Erick J. Paul,Charles H. Hillman,Neal J. Cohen,Arthur F. Kramer,Aron K. Barbey +7 more
TL;DR: The results revealed several regions within frontal, temporal, parietal, and cerebellar cortex, having significant association with aerobic fitness, and provided evidence that connectivity strength between these regions and the frontoparietal network is predictive of individuals’ fluid intelligence.
Journal ArticleDOI
Individual structural features constrain the mouse functional connectome.
Francesca Melozzi,Eyal Bergmann,Julie A. Harris,Itamar Kahn,Viktor K. Jirsa,Christophe Bernard +5 more
TL;DR: It is demonstrated that individual structural connectomes predict the functional organization of individual brains, and it is shown that the dominant predictors of individual structure–function relations are the asymmetry and the weights of the structural links.
Journal ArticleDOI
Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder
Dustin Scheinost,Sophie E. Holmes,Nicole DellaGioia,Charlie Schleifer,David Matuskey,Chadi G. Abdallah,Chadi G. Abdallah,Michelle Hampson,John H. Krystal,John H. Krystal,Alan Anticevic,Irina Esterlis,Irina Esterlis +12 more
TL;DR: The hypothesis that major depressive disorder is a systems level disorder affecting multiple brain networks located in the PFC is supported and new insights are provided into the pathophysiology of this disorder.
Journal ArticleDOI
Toward a “treadmill test” for cognition: Improved prediction of general cognitive ability from the task activated brain
TL;DR: A picture analogous to treadmill testing for cardiac function is suggested: Placing the brain in a more cognitively demanding task state significantly improves brain‐based prediction of GCA.
Journal ArticleDOI
Intrinsic functional connectivity predicts individual differences in distractibility.
Victoria N. Poole,Meghan E. Robinson,Omar Singleton,Joseph DeGutis,William P. Milberg,Regina E. McGlinchey,David H. Salat,Michael Esterman +7 more
TL;DR: Predicting an individual's task performance using multivariate support vector regression models composed of resting state connectivity between regions of the DAN, VAN, and DMN, and a leave-one-subject-out cross-validation procedure suggests that greater integrity and independence of the DMN is related to better attentional ability.
References
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Journal ArticleDOI
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.
Journal ArticleDOI
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.”