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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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Citations
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Journal ArticleDOI

White matter connectomes at birth accurately predict cognitive abilities at age 2.

TL;DR: It is suggested that WM connectomes at birth can accurately predict a child's 2‐year cognitive group and individual score in full‐term and preterm infants and between the frontal lobe and other brain areas.
Journal ArticleDOI

Subgraphs of functional brain networks identify dynamical constraints of cognitive control

TL;DR: In this study, a quantitative approach is used to identify distinct topological motifs of functional interactions and examine how their expression relates to cognitive control processes and behavior, and it is demonstrated that temporal expression of the subgraphs fluctuate alongside changes in cognitive demand and are associated with individual differences in task performance.
Posted ContentDOI

Functional reorganization of brain networks across the human menstrual cycle

TL;DR: This dense-sampling, deep phenotyping study examines the extent to which endogenous fluctuations in sex hormones alter intrinsic brain networks at rest in a woman who underwent brain imaging and venipuncture for 30 consecutive days and suggests that cortical network dynamics are preceded—and perhaps driven—by hormonal fluctuations.
Journal ArticleDOI

Dynamic network coding of working-memory domains and working-memory processes.

TL;DR: It is demonstrated that stimulus domains and WM processes are classifiable with high accuracy from the patterns of network activity and connectivity that they evoke and become fine-tuned as maintenance load increases.
Book

Genes, Determinism and God

TL;DR: In this paper, Denis Alexander argues that genuine free will, often influenced by genetic variation, emerges from an integrated view of human personhood derived from contemporary biology, with consequent implications for social flourishing, legal system and religious beliefs.
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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