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
Citations
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Computational Psychiatry in Borderline Personality Disorder.
TL;DR: In this article, the authors review the literature on the use and potential use of computational psychiatry methods in borderline personality disorder (BPD) and propose a method for diagnosis and treatment.
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Functional connectivity patterns predict naturalistic viewing versus rest across development.
TL;DR: In this paper, the authors identify a widespread functional connectivity (FC) pattern that predicts whether individuals are watching a movie or resting, and develop a model for prediction of multilevel neural effects (termed PrimeNet).
Journal ArticleDOI
Survey on Open Science Practices in Functional Neuroimaging
TL;DR: In this paper , the authors investigated the current level of adoption of open science practices in neuroimaging and the difficulties that prevent researchers from using them, and found that experienced researchers at lower career level had higher fear of being transparent and researchers with residence in the EU had a higher need for data governance.
Posted ContentDOI
A Connectivity-based Psychometric Prediction Framework for Brain-behavior Relationship Studies
Jianxiao Wu,Simon B. Eickhoff,Felix Hoffstaedter,Kaustubh R. Patil,Holger Schwender,B.T. Thomas Yeo,Sarah Genon +6 more
TL;DR: This work proposes a connectivity-based psychometric prediction framework based on individual regions’ connectivity profiles and demonstrates how the influence of various data processing and analyses can directly influence the patterns of brain-behavior relationships.
Posted ContentDOI
More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism
TL;DR: This paper introduces a methodology for combining network psychometrics and network neuro-science, and indicates that the network-based regression approach can uncover both unique and shared neural correlates of behavioural measures.
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
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.
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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.
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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.
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.”