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
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A longitudinal resource for studying connectome development and its psychiatric associations during childhood
Russell H. Tobe,Anna MacKay-Brandt,Ryan Lim,Melissa D. Kramer,Melissa Breland,Lucia Tu,Yiwen Tian,Kristin Dietz Trautman,Caixia C. Hu,Raj Sangoi,Lindsay Alexander,Vilma Gabbay,F. Xavier Castellanos,Bennett L. Leventhal,R. Cameron Craddock,Stanley J. Colcombe,Alexandre R. Franco,Michael P. Milham +17 more
TL;DR: The NKI-Rockland Sample Longitudinal Discovery of Brain Development Trajectories substudy (N = 369) is a 24- to 30-month multi-cohort longitudinal pediatric investigation (ages 6.0-17.0 at enrollment) carried out in a community-ascertained sample as discussed by the authors .
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Patterns of on-task thought in older age are associated with changes in functional connectivity between temporal and prefrontal regions.
Léa M. Martinon,Leigh M. Riby,Giulia L. Poerio,Hao-Ting Wang,Elizabeth Jefferies,Jonathan Smallwood +5 more
TL;DR: The possibility that age‐related changes in off‐task thinking are correlated with changes in the intrinsic organisation of the brain is addressed, and lower connectivity between the same regions was linked to preserved performance on a creativity task in older individuals.
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Sensory and cognitive plasticity: implications for academic interventions
TL;DR: Drawing parallels between visual and cognitive intervention approaches is drawn, and research avenues that could inform educational practice in the future are suggested.
Journal ArticleDOI
Generation of Individual Whole-Brain Atlases With Resting-State fMRI Data Using Simultaneous Graph Computation and Parcellation.
TL;DR: This work proposes a novel individual subject-level parcellation approach based on whole-brain resting-state functional magnetic resonance imaging (fMRI) data that incorporates spatial information and multiple features of the supervoxels by energy minimization, simultaneously yielding an optimal graph and brainParcellation.
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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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
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
TL;DR: It is concluded that the full repertoire of functional networks utilized by the brain in action is continuously and dynamically “active” even when at “rest.”