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Open AccessJournal ArticleDOI

Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

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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Citations
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Journal ArticleDOI

Resting amygdala connectivity and basal sympathetic tone as markers of chronic hypervigilance

TL;DR: Great synchronization of threat-detection circuitry in the absence of threat and basal sympathetic tone might serve as complementary resting-state markers of the cognitive and physiological components of chronic hypervigilance, respectively.
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Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability.

TL;DR: Blood-oxygen-level-dependent variability (BV) is a region-specific measure based on the variance within each brain region that shows that both FC and BV are predictive of task and subject, even across scanning sessions separated by multiple years.
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Earliest amyloid and tau deposition modulate the influence of limbic networks during closed-loop hippocampal downregulation

TL;DR: Using neurofeedback and virtual reality to train participants at risk of Alzheimer’s disease to downregulate CA1 activity, Skouras et al. explore how elevated amyloid and tau affect functional networks involved in hippocampal self-regulation.
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Properties of face localizer activations and their application in functional magnetic resonance imaging (fMRI) fingerprinting.

TL;DR: The fine-grained spatial activation patterns in right OFA and FFA are both time-invariant within each individual and sufficiently different between individuals to enable identification of individual participants with near-perfect precision (fMRI fingerprinting).
Journal ArticleDOI

Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study

TL;DR: Experimental results show the proposed novel sparse tensor decomposition method outperforms several other competing methods in the prediction of individuals with different cognitive behaviors via the wide range achievement test (WRAT), and discovers the FNC related to the cognitive behaviors.
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.
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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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