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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Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility
Robin F.H. Cash,Luca Cocchi,Jinglei Lv,Jinglei Lv,Yumeng Wu,Paul B. Fitzgerald,Andrew Zalesky +6 more
TL;DR: In this paper, the authors developed reliable and accurate methodologies to compute individualized connectivity-guided stimulation targets in resting-state functional MRI scans acquired across 1,000 healthy adults, demonstrating that personalized targets can be reliably and robustly pinpointed, with a median accuracy of 2mm between scans repeated across separate days.
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Functional Connectivity Mapping in the Animal Model: Principles and Applications of Resting-State fMRI
Martin Gorges,Francesco Roselli,Hans-Peter Müller,Albert C. Ludolph,Volker Rasche,Jan Kassubek +5 more
TL;DR: The longer term goal of integrating fMRI connectivity data with structural connectomes obtained with tracing and optical imaging approaches is presented and will allow the interrogation of fMRI data in terms of directional flow of information and may identify the structural underpinnings of observed functional connectivity patterns.
Journal ArticleDOI
Experience during adolescence shapes brain development: From synapses and networks to normal and pathological behavior
Diana Dow-Edwards,Frank P. MacMaster,Bradley S. Peterson,Raymond J.M. Niesink,Susan L. Andersen,Barbara R. Braams +5 more
TL;DR: Clinical data promoting an understanding of peer-influences on risky behavior in adolescents provides evidence for the complexity of the roles that peers play in decision making, a phenomenon different from that in the adult.
Journal ArticleDOI
Mining biometric data to predict programmer expertise and task difficulty
TL;DR: The result shows it is possible to predict the perceived difficulty of a task and expertise level for developers using psycho-physiological sensors data and it is found that while using single biometric sensor shows good results, the composition of both sensors lead to the best overall performance.
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Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study
TL;DR: A quantitative meta-analysis of available fMRI and PET literature about Gf in humans finds a clearer association between Gf-related activity and brain connectivity, also providing quantitative ALE maps to be used in network-based brain stimulation and cognitive training interventions.
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
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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.
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.”