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
More filters
Journal ArticleDOI
Connectome-based individualized prediction of temperament trait scores.
Rongtao Jiang,Vince D. Calhoun,Nianming Zuo,Dongdong Lin,Jin Li,Lingzhong Fan,Shile Qi,Hailun Sun,Zening Fu,Ming Song,Tianzi Jiang,Jing Sui +11 more
TL;DR: In this paper, a multivariate prediction framework integrating feature selection and sparse regression was applied to resting-state fMRI data from 360 college students, resulting in 4 connectome-based predictive models that enabled prediction of temperament scores for unseen subjects in cross-validation.
Journal ArticleDOI
A guide to the measurement and interpretation of fMRI test-retest reliability.
TL;DR: The authors provide a guide to the measurement and interpretation of test-retest reliability in functional neuroimaging and review major findings in the literature, highlighting the importance of making choices that improve reliability so long as they do not diminish validity, pointing to the potential of multivariate approaches that improve both.
Journal ArticleDOI
Temporal stability of functional brain modules associated with human intelligence.
TL;DR: This study suggests that investigating the temporal dynamics of functional brain network topology contributes to the understanding of the neural bases of general cognitive abilities.
Journal ArticleDOI
A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.
Masahiro Yamashita,Yujiro Yoshihara,Ryuichiro Hashimoto,Noriaki Yahata,Noriaki Yahata,Naho Ichikawa,Yuki Sakai,Takashi Yamada,Noriko Matsukawa,Go Okada,Saori C. Tanaka,Kiyoto Kasai,Nobumasa Kato,Yasumasa Okamoto,Ben Seymour,Ben Seymour,Hidehiko Takahashi,Mitsuo Kawato,Hiroshi Imamizu +18 more
TL;DR: A general association between brain connectivity and working memory ability applicable commonly to health and psychiatric diseases is suggested.
Journal ArticleDOI
Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification.
TL;DR: It is proposed that the use of the geodesic distance is an effective way to compare the correlation structure of the brain across a broad range of studies and suggested that low-dimensional distance visualizations based on the Geodesic approach help uncover the geometry of task functional connectivity in relation to that during resting-state.
References
More filters
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.”