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
Reads0
Chats0
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
Estimation and validation of individualized dynamic brain models with resting state fMRI.
TL;DR: It is shown that MINDy models are predictive of individualized patterns of resting-state brain dynamical activity and better able to uncover the mechanisms underlying individual differences in resting state activity than functional connectivity methods.
Journal ArticleDOI
Investigating the effect of changing parameters when building prediction models for post-stroke aphasia.
TL;DR: This study explored the effect of three critical parameters on model performance: brain partitions as predictive features, combination of multimodal neuroimaging and type of machine learning algorithms, and the influence of these factors while predicting four principal dimensions of language and cognition variation in post-stroke aphasia.
Journal ArticleDOI
Functional connectivity of specific resting-state networks predicts trust and reciprocity in the trust game
TL;DR: These results contribute to a better understanding of how complex social behaviors are enrooted in large-scale intrinsic brain dynamics, which may represent neuromarkers for impairment of prosocial behavior in mental health disorders.
Journal ArticleDOI
Structural Variability in the Human Brain Reflects Fine-Grained Functional Architecture at the Population Level
Steve Smith,Eugene P. Duff,Adrian R. Groves,Thomas E. Nichols,Saad Jbabdi,Lars T. Westlye,Christian K. Tamnes,Andreas Engvig,Kristine B. Walhovd,Anders M. Fjell,Heidi Johansen-Berg,Gwenaëlle Douaud +11 more
TL;DR: The results demonstrate that numerous structural networks, covering the entire brain, follow a functionally meaningful architecture and suggest that the neurotrophic events at play during development and possibly evolution, which dictate that the size and folding pattern of distant brain regions should vary together across subjects, might also play a role in functional cortical specialization.
Journal ArticleDOI
Longitudinal stability of the brain functional connectome is associated with episodic memory performance in aging.
Olga Therese Ousdal,Tobias Kaufmann,K. K. Kolskaar,K. K. Kolskaar,Alexandra Vik,Eike Wehling,Eike Wehling,Astri J. Lundervold,Arvid Lundervold,Arvid Lundervold,Lars T. Westlye,Lars T. Westlye +11 more
TL;DR: It is shown that the connectome backbone generally remains stable over a 2–3 years period in middle and older age, and the individual longitudinal stability of subcortical and default mode networks was associated with individual differences in cross‐sectional and longitudinal measures of episodic memory performance.
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.”