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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Topological disintegration of resting state functional connectomes in coma.
Brigitta Malagurski,Brigitta Malagurski,Patrice Péran,Benjamine Sarton,Hélène Vinour,Edouard Naboulsi,Béatrice Riu,Fanny Vardon Bounes,Thierry Seguin,Jean Albert Lotterie,Olivier Fourcade,Vincent Minville,Fabrice Ferré,Sophie Achard,Stein Silva +14 more
TL;DR: It was showed that coma patients have lower number of significant connections with approximately 50% of them not fulfilling the criteria of the fixed density threshold, and the remaining patients with relatively preserved global functional connectivity had sufficient significant connections between regions, but showed signs of major whole-brain network reorganization.
Journal ArticleDOI
Baseline Cortical Thickness Reductions in Clinical High Risk for Psychosis: Brain Regions Associated with Conversion to Psychosis Versus Non-Conversion as Assessed at One-Year Follow-Up in the Shanghai-At-Risk-for-Psychosis (SHARP) Study.
Elisabetta C. del Re,Elisabetta C. del Re,William S. Stone,Sylvain Bouix,Johanna Seitz,Victor Zeng,Anthony Guliano,Nathaniel Somes,Tianhong Zhang,Benjamin Reid,Amanda E. Lyall,Amanda E. Lyall,Monica Lyons,Monica Lyons,Huijun Li,Susan Whitfield-Gabrieli,Matcheri S. Keshavan,Larry J. Seidman,Larry J. Seidman,Robert W. McCarley,Jijun Wang,Yingying Tang,Martha E. Shenton,Margaret A. Niznikiewicz,Margaret A. Niznikiewicz +24 more
TL;DR: These results show for the first time that fronto-temporo-parietal abnormalities characterized all CHR, that is, both converters and non-converters, relative to HC, while CT abnormalities in converters relative to CHR-NC and HC were found in core auditory and language processing regions.
Journal ArticleDOI
Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features.
TL;DR: The current study suggests abnormal FCS in right anterior insular cortex (BA48) and left middle frontal gyrus (BA8) might serve as a potential neuromarkers for PI.
Journal ArticleDOI
Bootstrapping promotes the RSFC-behavior associations: An application of individual cognitive traits prediction.
Lijiang Wei,Bin Jing,Haiyun Li +2 more
TL;DR: A bootstrapping‐based feature selection framework was proposed and applied to connectome‐based predictive modeling, support vector regression, least absolute shrinkage and selection operator, and Ridge regression to predict a series of cognitive traits based on Human Connectome Project data and demonstrates that the proposed framework is an easy‐to‐use and effective method to improve RSFC prediction of Cognitive traits.
Journal ArticleDOI
Cortical and subcortical alterations associated with precision visuomotor behavior in individuals with autism spectrum disorder.
Kathryn E. Unruh,Laura E. Martin,Grant C. Magnon,David E. Vaillancourt,John A. Sweeney,Matthew W. Mosconi +5 more
TL;DR: Higher sensorimotor variability in ASD is associated with altered cortical-striatal processes supporting action selection and cortical-cerebellar circuits involved in feedback-guided reactive adjustments of motor output, and atypical organization of visuomotor cortical circuits may result in heightened reliance on subcortical circuits typically dedicated to motor skill acquisition.
References
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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
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