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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Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Journal ArticleDOI
Precision Functional Mapping of Individual Human Brains
Evan M. Gordon,Timothy O. Laumann,Adrian W. Gilmore,Adrian W. Gilmore,Dillan J. Newbold,Deanna J. Greene,Jeffrey J. Berg,Mario Ortega,Catherine Hoyt-Drazen,Caterina Gratton,Haoxin Sun,Jacqueline M. Hampton,Rebecca S. Coalson,Annie L. Nguyen,Kathleen B. McDermott,Joshua S. Shimony,Abraham Z. Snyder,Bradley L. Schlaggar,Steven E. Petersen,Steven M. Nelson,Steven M. Nelson,Nico U.F. Dosenbach +21 more
TL;DR: A novel MRI dataset containing 5 hr of RSFC data, 6 hour of task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults generated ten high-fidelity, individual-specific functional connectomes, revealing several new types of spatial and organizational variability in brain networks.
Journal ArticleDOI
A neuromarker of sustained attention from whole-brain functional connectivity.
Monica D. Rosenberg,Emily S. Finn,Dustin Scheinost,Xenophon Papademetris,Xilin Shen,R. Todd Constable,Marvin M. Chun +6 more
TL;DR: It is demonstrated that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention, and predicts a clinical measure of attention—symptoms of attention deficit hyperactivity disorder—from resting-state connectivity in an independent sample of children and adolescents.
Journal ArticleDOI
Using connectome-based predictive modeling to predict individual behavior from brain connectivity.
Xilin Shen,Emily S. Finn,Dustin Scheinost,Monica D. Rosenberg,Marvin M. Chun,Xenophon Papademetris,R. Todd Constable +6 more
TL;DR: This protocol includes the following steps: feature selection, feature summarization, model building, and assessment of prediction significance, and it has been demonstrated that the CPM protocol performs as well as or better than many of the existing approaches in brain-behavior prediction.
Posted ContentDOI
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +7 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
References
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Dustin Scheinost,Emily S. Finn,Fuyuze Tokoglu,Xilin Shen,Xenophon Papademetris,Michelle Hampson,R. Todd Constable +6 more
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Journal ArticleDOI
Connectotyping: Model Based Fingerprinting of the Functional Connectome
Oscar Miranda-Dominguez,Brian D. Mills,Samuel D. Carpenter,Kathleen A. Grant,Christopher D. Kroenke,Joel T. Nigg,Damien A. Fair +6 more
TL;DR: A model-based approach toward characterizing resting state functional connectivity MRI (rs-fcMRI) that is capable of identifying a so-called “connectotype”, or functional fingerprint in individual participants, and is present in non-human primates as well, highlighting the translational potential of the approach.