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
Human resting-state electrophysiological networks in the alpha frequency band: Evidence from magnetoencephalographic source imaging
TL;DR: This study uses the resting-state MEG data-set provided by the Human Connectome Project to identify cortical alpha generators and to characterize their organization into functional networks, showing that the generators are coordinated across hemispheres and hence form resting- state networks (RSNs), two of which are the default mode network (DMN) and the ventral attention network (VAN).
Journal ArticleDOI
The intervention, the patient and the illness-Personalizing non-invasive brain stimulation in psychiatry
Frank Padberg,Lucia Bulubas,Yuki Mizutani-Tiebel,Gerrit Burkhardt,Georg S. Kranz,Nikolaos Koutsouleris,Joseph Kambeitz,Alkomiet Hasan,Shun Takahashi,Daniel Keeser,Stephan Goerigk,Andre R. Brunoni +11 more
TL;DR: In this paper, the authors proposed interleaved research on these three levels along a general track of reverse and forward translation including both clinically directed research in preclinical model systems, and biomarker guided controlled clinical trials.
Posted ContentDOI
Estimations of the weather effects on brain functions using functional MRI - a cautionary tale
Xin Di,Xin Di,Marie Wolfer,Marie Wolfer,Marie Wolfer,Simone Kühn,Simone Kühn,Zhiguo Zhang,Bharat B. Biswal,Bharat B. Biswal +9 more
TL;DR: It is found that daylight length and air temperatures could be reliably predicted with cross-validation using the resting-state parameters and the signals outside of the brain in the anatomical images and signals in phantom scans could also achieve higher prediction accuracies, suggesting that the predictability may be due to the baseline signals of the MRI scanner.
Posted Content
Siamese Generative Adversarial Privatizer for Biometric Data
Witold Oleszkiewicz,Tomasz Włodarczyk,Karol J. Piczak,Tomasz Trzcinski,Peter Kairouz,Ram Rajagopal +5 more
TL;DR: Siamese Generative Adversarial Privatizer (SGAP) as discussed by the authors exploits the properties of a Siamese neural network to find discriminative features that convey identifying information.
Journal ArticleDOI
Uncovering individual differences in fine-scale dynamics of functional connectivity.
TL;DR: This work systematically analyzes functional magnetic resonance imaging frames to define features that enhance identifiability across multiple fingerprinting metrics, similarity metrics, and data sets and suggests that multiple distinct fingerprints can be identified when spatial and temporal characteristics are considered simultaneously.
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.”