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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Addictions NeuroImaging Assessment (ANIA): Towards an integrative framework for alcohol use disorder
Valerie Voon,Erica N. Grodin,Alekhya Mandali,Laurel S. Morris,Nuria Doñamayor,Kathrin Weidacker,Laura E. Kwako,David Goldman,George F. Koob,Reza Momenan +9 more
TL;DR: This neuroimaging review on alcohol misuse in humans follows the Addictions Neuroclinical Assessment that proposes incorporating three functional neuroscience domains integral to the neurocircuitry of addiction: incentive salience and habits, negative emotional states, and executive function within the context of the addiction cycle.
Journal ArticleDOI
Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study.
Hannes Almgren,Frederik Van de Steen,Simone Kühn,Adeel Razi,Karl J. Friston,Daniele Marinazzo +5 more
TL;DR: It is found that subjects showed systematic and reliable patterns of hemispheric asymmetry, and various processing procedures had little effect on inference and the reliability of connectivity estimates for the majority of subjects, while Bayesian model reduction significantly increased the consistency of connectivity patterns.
Journal ArticleDOI
Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback
TL;DR: In this article, the authors summarize current success in real-time neurofeedback training of older brains aiming to match those of younger brains during attention/working memory tasks, and also outline potential future advances in realtime brainwave-based biofeedback for improving attention training in older populations.
Journal ArticleDOI
Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity.
Vicente Pallarés,Andrea Insabato,Ana Sanjuán,Simone Kühn,Dante Mantini,Gustavo Deco,Matthieu Gilson +6 more
TL;DR: The present study aims to define a reliable standard for the extraction of multiple signatures from fMRI data, while verifying that they do not mix information about the different modalities (e.g., subjects and conditions such as tasks performed by them).
Journal ArticleDOI
Temporal fluctuations in the brain’s modular architecture during movie-watching
TL;DR: These findings link dynamic fluctuations in network integration and segregation to patterns of inter-subject similarity, and suggest that moment-to-moment fluctuations in functional connectivity reflect shared cognitive processing across individuals.
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.
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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.”