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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The Myth of Optimality in Clinical Neuroscience
TL;DR: It is argued that there is no universally optimal profile of brain functioning, and psychiatric illnesses can be best understood through the study of domains of functioning and associated multivariate patterns of variation across distributed brain systems.
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Identifying reproducible individual differences in childhood functional brain networks: An ABCD study.
Scott Marek,Brenden Tervo-Clemmens,Ashley N. Nielsen,Muriah D. Wheelock,Ryland L. Miller,Timothy O. Laumann,Eric Earl,William Foran,Michaela Cordova,Olivia Doyle,Anders Perrone,Oscar Miranda-Dominguez,Eric Feczko,Darrick Sturgeon,Alice M. Graham,Robert Hermosillo,Kathy Snider,Anthony Galassi,Bonnie J. Nagel,Sarah W. Feldstein Ewing,Adam T. Eggebrecht,Hugh Garavan,Anders M. Dale,Deanna J. Greene,M Deanna,Damien A. Fair,Beatriz Luna,Nico U.F. Dosenbach +27 more
TL;DR: A framework is provided for how to characterize RSFC-behavior relationships in a rigorous and reproducible manner using the ABCD dataset and other large multi-site projects.
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A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection.
TL;DR: This study proposes applying hierarchical clustering to assess the inter‐ and intra‐subject variability within a large‐scale dataset of EEG collected in a simulated driving task, and validates the feasibility of transferring EEG‐based drowsiness‐detection models across subjects.
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Unique Mapping of Structural and Functional Connectivity on Cognition.
TL;DR: It is shown that two sets of brain–behavior patterns capture the correlations between SC and FC with a wide range of cognitive tasks, respectively, and suggests that a complete understanding of connectome underpinnings of cognition calls for a combination of the two modalities.
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Prediction of neurocognition in youth from resting state fMRI.
Chandra Sripada,Saige Rutherford,Mike Angstadt,Wesley K. Thompson,Monica Luciana,Alexander Weigard,Luke H. Hyde,Mary M. Heitzeg +7 more
TL;DR: These findings demonstrate that resting state connectivity can be leveraged to produce generalizable markers of neurocognitive functioning and highlight the importance of task control-default mode network interconnections as a major locus of individual differences in cognitive functioning in early adolescence.
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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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
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