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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Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior.
TL;DR: In this article, the authors examined functional brain network connectivity and its link to behavioral temperament in typically developing newborn and 1-month-old infants using functional near-infrared spectroscopy (fNIRS).
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Non-linear manifold learning in fMRI uncovers a low-dimensional space of brain dynamics
TL;DR: It is established that a shared, robust, and interpretable low-dimensional space of brain dynamics can be recovered from a rich repertoire of task based fMRI data, and that resting-state data embeds fully onto the same task embedding, indicating similar brain states are present in both task and resting- state data.
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Healthy aging: A bibliometric analysis of the literature.
TL;DR: This study reported the network of healthy aging research using bibliometric approaches and concluded that aging of the brain and muscle is a primary research focus which is a critical part of the multiscale network regulating the aging process.
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Eliminating accidental deviations to minimize generalization error: applications in connectomics and genomics
Eric W. Bridgeford,Shangsi Wang,Zhi Yang,Zeyi Wang,Ting Xu,R. Cameron Craddock,Jayanta Dey,Gregory Kiar,William Gray-Roncal,Carlo Coulantoni,Christopher Douville,Carey E. Priebe,Brian Caffo,Michael P. Milham,Xi-Nian Zuo,Xi-Nian Zuo,Reproduciblity,Joshua T. Vogelstein +17 more
TL;DR: It is suggested that designing experiments and analyses to optimize discriminability may be a crucial step in solving the reproducibility crisis, and more generally, mitigating accidental measurement error.
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Multi-Connection Pattern Analysis: Decoding the representational content of neural communication
TL;DR: Multi‐Connection Pattern Analysis works by learning mappings between the activity patterns of the populations as a factor of the information being processed to assess the information represented in the coupled activity of interacting neural circuits and probe the underlying principles of information transformation between regions.
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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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
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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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