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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Refined measure of functional connectomes for improved identifiability and prediction.
Biao Cai,Gemeng Zhang,Wenxing Hu,Aiying Zhang,Pascal Zille,Yipu Zhang,Julia M. Stephen,Tony W. Wilson,Vince D. Calhoun,Vince D. Calhoun,Yu-Ping Wang +10 more
TL;DR: This work proposes to refine the standard measure of individual functional connectomes using dictionary learning and finds that individual distinctiveness is closely linked with differences in neurocognitive activity within the brain.
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Neural substrates of context- and person-dependent altruistic punishment
TL;DR: The RSFC results revealed that increased intrinsic connectivity strengths of the putamen with temporoparietal junction and dorsolateral PFC were associated with attenuated responsibility diffusion in altruistic punishment and increased putamen‐dorsomedial PFC connectivity strengths wereassociated with reduced Responsibility diffusion in self‐reported responsibility.
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BOLD cofluctuation ‘events’ are predicted from static functional connectivity
Zach Ladwig,Benjamin A. Seitzman,Ally Dworetsky,Yuhua Yu,Babatunde Adeyemo,Derek M. Smith,Steven E. Petersen,Caterina Gratton +7 more
TL;DR: In this paper , the authors examined the relationship between cofluctuation and network structure and asked if this relationship was unique, or if it could arise from sampling variability alone, and they showed that events are not discrete - there is a gradually increasing relationship between network structure, and ∼50% of samples show very strong network structure.
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Resting CMRO2 fluctuations show persistent network hyper-connectivity following exposure to sub-concussive collisions.
TL;DR: Findings create a strong paradigm for future studies to examine the underlying neural and vascular mechanisms associated with increases in network connectivity following repeated exposure to sub-concussive collisions, in an effort to improve management of head impacts in contact sports.
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Functional Overlaps Exist in Neurological and Psychiatric Disorders: A Proof from Brain Network Analysis.
TL;DR: It is suggested that functional overlaps exist in mild cognitive impairment (MCI), Alzheimer's disease (AD) and major depressive disorder (MDD), as well as in epilepsy, attention deficit hyperactivity disorder (ADHD) and schizophrenia.
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.
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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.
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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.”