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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A structural enriched functional network: An application to predict brain cognitive performance
TL;DR: In this article, a simplex regression model with graph-constrained Elastic Net was used to construct the functional networks enriched by the structural network. And the authors compared the constructed network characteristics of this approach with several state-of-the-art competing functional network models.
Posted ContentDOI
The Normative Modeling Framework for Computational Psychiatry
Saige Rutherford,Saige Rutherford,Seyed Mostafa Kia,Seyed Mostafa Kia,Thomas Wolfers,Charlotte Fraza,Mariam Zabihi,Richard Dinga,Pierre Berthet,Amanda Worker,Serena Verdi,Serena Verdi,Henricus G. Ruhé,Christian F. Beckmann,Christian F. Beckmann,Andre F. Marquand,Andre F. Marquand +16 more
TL;DR: Normative modeling is an emerging and innovative framework for mapping individual differences at the level of a single subject or observation in relation to a reference model, which can then be used to make statistical inferences at the individual level as discussed by the authors.
Journal ArticleDOI
Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data.
Aslan S. Dizaji,Bruno Hebling Vieira,Mohmmad Reza Khodaei,Mahnaz Ashrafi,Elahe Parham,Gholam-Ali Hossein-Zadeh,Carlos Ernesto Garrido Salmon,Hamid Soltanian-Zadeh,Hamid Soltanian-Zadeh +8 more
TL;DR: A review of recent findings on the associations of human intelligence with neuroimaging data can be found in this article, where the authors provide a survey of literature that has used multimodal DWI-fMRI to shed light on intelligence.
Journal ArticleDOI
Interindividual differences in matrix reasoning are linked to functional connectivity between brain regions nominated by Parieto-Frontal Integration Theory
TL;DR: This study is the first to identify specific connections from the P-FIT network whose functional connectivity strength at rest can be considered an indicator of intellectual capability.
Journal ArticleDOI
Predicting visual working memory with multimodal magnetic resonance imaging.
Yu Xiao,Ying Lin,Junji Ma,Jiehui Qian,Zijun Ke,Liangfang Li,Yangyang Yi,Jinbo Zhang,Cam-CAN,Zhengjia Dai +9 more
TL;DR: The usage of multimodal neuroimaging in combination with machine learning is proposed to reveal the neural mechanism of VWM across a large cohort and offer a solid and general foundation for comprehensively understanding the VWM process from the top down.
References
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Journal ArticleDOI
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
TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
Journal ArticleDOI
Complex network measures of brain connectivity: uses and interpretations.
Mikail Rubinov,Olaf Sporns +1 more
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.
Journal ArticleDOI
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.
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
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.”