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Open AccessJournal ArticleDOI

Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

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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.

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Posted ContentDOI

Dynamic Expression of Brain Functional Systems Disclosed by Fine-Scale Analysis of Edge Time Series

TL;DR: It is proposed that functional systems appear transiently and intermittently, and that FC results from the overlay of many variable instances of system expression, a binary decomposition of the original time series that very closely approximates functional connectivity.
Journal ArticleDOI

Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample.

TL;DR: In this study, a suite of neuroimaging-based machine learning models predicting anxiety within a discovery sample and a generalization test within the holdout sample did not find evidence of a generalizable anxiety biomarker.
Journal ArticleDOI

Towards characterizing the regional cerebral perfusion in evaluating the severity of major depression disorder with SPECT/CT

TL;DR: The findings indicated that the rCBF SPECT/CT may provide an objective assessment for MDD severity, and might be used monitoring therapeutic efficacy in the management of MDD.
Posted Content

The NonHuman Primate Neuroimaging & Neuroanatomy Project

TL;DR: The NHP_NNP is acquiring high-resolution structural, functional, and diffusion MRI data together with behavioral measures from over 100 individual macaques and marmosets in order to generate non-invasive measures of brain architecture such as myelin and cortical thickness maps, as well as functional and diffusion tractography-based connectomes.
Journal ArticleDOI

The emergence of a functionally flexible brain during early infancy.

TL;DR: Results showed that neural flexibility of whole brain, motor, and high-order brain functional networks/regions increased significantly with age, while visual regions exhibited a temporally stable pattern, suggesting spatially and temporally nonuniform developmental features of neural flexibility.
References
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Journal ArticleDOI

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

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.

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

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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