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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Hyperalignment: Modeling Shared Information Encoded in Idiosyncratic Cortical Topographies
TL;DR: This Perspective presents the conceptual framework that motivates hyperalignment, its computational underpinnings for joint modeling of a common information space and idiosyncratic cortical topographies, and discuss implications for understanding the structure of cortical functional architecture.
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Context-Aware Generative Adversarial Privacy
TL;DR: This work introduces a novel context-aware privacy framework called GAP, which leverages recent advancements in generative adversarial networks to allow the data holder to learn privatization schemes from the dataset itself, and demonstrates that the framework can be easily applied in practice, even in the absence of dataset statistics.
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Network Mapping with GIMME.
TL;DR: Researchers will be equipped to begin analyzing the temporal dynamics of their heterogeneous time series data with GIMME, an automated network analysis approach for intensive longitudinal data.
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Evaluation of non-negative matrix factorization of grey matter in age prediction
Deepthi P. Varikuti,Sarah Genon,Aristeidis Sotiras,Holger Schwender,Felix Hoffstaedter,Kaustubh R. Patil,Christiane Jockwitz,Svenja Caspers,Susanne Moebus,Katrin Amunts,Christos Davatzikos,Simon B. Eickhoff +11 more
TL;DR: A non‐negative matrix factorization (NNMF) approach is evaluated to provide a reduced, but also interpretable representation of GMV data in age prediction frameworks in healthy and clinical populations and its validation in clinical populations showed that the framework is sensitive to deviance from normal structural variations in pathological aging.
Journal ArticleDOI
Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.
Monica D. Rosenberg,Sheng Zhang,Wei-Ting Hsu,Dustin Scheinost,Emily S. Finn,Xilin Shen,R. Todd Constable,Chiang-Shan R. Li,Marvin M. Chun +8 more
TL;DR: Results suggest that methylphenidate acts by modulating strength in functional brain networks related to attention, and that changing whole-brain connectivity patterns may help improve attention.
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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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.
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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.
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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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