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
Reads0
Chats0
TLDR
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
More filters
Posted ContentDOI
Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem
TL;DR: Reordering carpet plots to emphasize cluster structure in the data reveals a greater diversity of spatially widespread signal deflections (WSDs) than previously thought, and DiCER is more effective than GSR at removing diverse WSDs as visualized in carpet plots.
Posted ContentDOI
Common variants contribute to intrinsic functional architecture of human brain
Bingxin Zhao,Tengfei Li,Stephen M. Smith,Di Xiong,Xifeng Wang,Yue Yang,Tianyou Luo,Ziliang Zhu,Yue Shan,Mads E. Hauberg,Jaroslav Bendl,John F. Fullard,Panagiotis Roussos,Weili Lin,Yun Li,Jason L. Stein,Hongtu Zhu +16 more
TL;DR: RsfMRI of 44,190 multi-ethnic individuals found hundreds of novel genetic loci associated with intrinsic functional signatures and suggested the shared genetic influences among intrinsic brain function, brain structure, and brain structural connectivity.
Journal ArticleDOI
Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: A traveling subject study of multi-b acquisition.
Ryo Kurokawa,Kouhei Kamiya,Shinsuke Koike,Moto Nakaya,Akiko Uematsu,Saori C. Tanaka,Koji Kamagata,Naohiro Okada,Kentaro Morita,Kiyoto Kasai,Osamu Abe +10 more
TL;DR: In this paper, the cross-scanner differences in structural network analyses using data from nine traveling subjects (four males and five females, 21-49 years-old) who underwent scanning using four 3T scanners (http://mriportal.umin.jp/)).
Journal ArticleDOI
Accurate prediction of individual subject identity and task, but not autism diagnosis, from functional connectomes.
Lisa Byrge,Daniel P. Kennedy +1 more
TL;DR: It is suggested that neither the limitations of resting state as a “task,” data resolution, data quantity, or scan duration can be considered solely responsible for failures to differentiate ASD from TD functional connectomes.
Journal ArticleDOI
Pretreatment Brain Connectome Fingerprint Predicts Treatment Response in Major Depressive Disorder.
Siyan Fan,Siyan Fan,Samaneh Nemati,Samaneh Nemati,Teddy J. Akiki,Teddy J. Akiki,Teddy J. Akiki,Jeremy Roscoe,Jeremy Roscoe,Christopher L. Averill,Christopher L. Averill,Samar Fouda,Samar Fouda,Lynnette A. Averill,Chadi G. Abdallah +14 more
TL;DR: In this article, the authors identify pretreatment biomarkers of response for major depressive disorder (MDD) treatment, which is characterized by low remission rate and often involves weeks to months of treatment.
References
More filters
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.
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.”