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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

Quantifying Differences and Similarities in Whole-brain White Matter Architecture Using Local Connectome Fingerprints

TL;DR: A noninvasive method that uses diffusion MRI to characterize whole-brain white matter architecture as a single local connectome fingerprint that allows for a direct comparison between structural connectomes is introduced, revealing neuroplasticity within an individual reflected as a decreasing trend in self-similarity across time.
Journal ArticleDOI

Classification of schizophrenia by intersubject correlation in functional connectome

TL;DR: The findings suggest that the average functional connectome across subjects contained group‐specific biological features and may be helpful in clinical diagnosis for schizophrenia.
Journal ArticleDOI

Predicting Biological Gender and Intelligence From fMRI via Dynamic Functional Connectivity

TL;DR: Dynamic behavior of brain can contribute substantially towards forming a fingerprint of biological gender and intelligence, in contrast to static connectivity used in past research.
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Impaired posterior cingulate cortex-parahippocampus connectivity is associated with episodic memory retrieval problems in amnestic mild cognitive impairment.

TL;DR: In this paper, the brain activity in mild cognitive impairment (aMCI) patients was studied and how it relates to memory performance, and it was shown that decreased γ power in the posterior cingulate cortex and the left and right parahippocampus in aMCI patients in comparison to control participants.
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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