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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Resting state networks in empirical and simulated dynamic functional connectivity.
TL;DR: The findings show that stationary dynamics can account for the emergence of RSNs, and an innovative method that does not make strong assumptions about the underlying data and is generally applicable to resting state or task data from different subject populations.
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Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging
Patricio Andres Donnelly-Kehoe,Guido Orlando Pascariello,Adolfo M. García,Adolfo M. García,Adolfo M. García,John R. Hodges,John R. Hodges,Bruce L. Miller,Howie Rosen,Facundo Manes,Facundo Manes,Facundo Manes,Ramon Landin-Romero,Ramon Landin-Romero,Diana Matallana,Cecilia Serrano,Eduar Herrera,Pablo Reyes,Hernando Santamaría-García,Fiona Kumfor,Fiona Kumfor,Olivier Piguet,Olivier Piguet,Agustín Ibáñez,Lucas Sedeño,Lucas Sedeño +25 more
TL;DR: Recommendations highlight the role of multimodal neuroimaging and machine learning methods as complementary tools to address the problem of timely diagnosis of behavioral variant frontotemporal dementia.
Journal ArticleDOI
Adolescence, brain maturation and mental health
TL;DR: The rate of development of the brain connectome distinguishes adolescents with and without psychiatric symptoms and those with symptoms exhibit delayed development of connectome distinctiveness.
Posted ContentDOI
Topographic organization of the human subcortex unveiled with functional connectivity gradients
TL;DR: The complex topographic organization of the human subcortex was revealed by disambiguating smooth connectivity gradients from discrete areal boundaries in resting-state fMRI data acquired from more than 1000 healthy adults, unveiling four scales of subcortical organization.
Journal ArticleDOI
Brain functional and effective connectivity based on electroencephalography recordings: A review
Jun Cao,Yifan Zhao,Xiaocai Shan,Xiaocai Shan,Hua-Liang Wei,Yuzhu Guo,Liangyu Chen,John Ahmet Erkoyuncu,Ptolemaios G. Sarrigiannis +8 more
TL;DR: In this paper, a review of EEG-based functional and effective connectivity studies is presented, in terms of estimation, visualization, and applications associated with machine learning classifiers, and the current challenges and a roadmap for future related research are presented.
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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Research domain criteria (RDoC): toward a new classification framework for research on mental disorders
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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.”