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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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
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Resting state network connectivity is attenuated by fMRI acoustic noise
Eliane Kobayashi,Peter Ambrose +1 more
TL;DR: In this article , the effect of EPI noise on resting state activity and connectivity using magnetoencephalography (MEG) was investigated by reproducing the acoustic characteristics of rs-fMRI environment during the recordings.
Journal ArticleDOI
The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T.
Jonathan Wirsich,Joao Jorge,Giannina Rita Iannotti,Elhum A. Shamshiri,Frédéric Grouiller,Rodolfo Abreu,François Lazeyras,Anne-Lise Giraud,Rolf Gruetter,Sepideh Sadaghiani,Serge Vulliemoz +10 more
TL;DR: In this article, the reproducibility of the bimodal EEG-fMRI functional connectome was investigated in the most comprehensive resting-state simultaneous EEG and fMRI dataset compiled to date including a total of 72 subjects from different imaging centers.
Posted ContentDOI
Overlapping attentional networks yield divergent behavioral predictions across tasks: Neuromarkers for diffuse and focused attention?
Esther X.W. Wu,Gwenisha J. Liaw,Rui Zhe Goh,Tiffany T.Y. Chia,Alisia M.J. Chee,Takashi Obana,Monica D. Rosenberg,B.T. Thomas Yeo,Christopher L. Asplund +8 more
TL;DR: A visual attentional blink (VAB) model (vabCPM) is constructed, comparing its performance predictions and network edges associated with successful and unsuccessful behavior to the saCPM, and it is concluded that these partially overlapping networks each have general attentional functions.
Journal ArticleDOI
Representation learning of resting state fMRI with variational autoencoder.
TL;DR: In this article, a variational auto-encoder was used to disentangle the unknown sources of rsfMRI activity and to represent and generate patterns of cortical activity and connectivity using latent variables.
Journal ArticleDOI
Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study
Guozhao Dong,Liu Yang,Chiang-Shan R. Li,Xiaoni Wang,Yihe Zhang,Wenying Du,Ying Han,Xiaoying Tang +7 more
TL;DR: Temporal flexibility and spatiotemporal diversity were mapped to reflect dynamic time-varying functional interactions among the brain regions within and outside communities to characterize dynamic network dysfunction that may serve as a biomarker of the preclinical stage of AD.
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.”