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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

Do Deep Neural Networks Outperform Kernel Regression for Functional Connectivity Prediction of Behavior

TL;DR: Deep learning remains a promising tool for analyzing neuroimaging data, however, researchers should carefully consider whether and how their applications might benefit from DNNs’ advantages over classical alternatives, rather than treat deep learning as a panacea.
Journal ArticleDOI

Structural determinants of dynamic fluctuations between segregation and integration on the human connectome.

TL;DR: This study examines the contributions of network features to dynamic fluctuations by constructing rewired surrogate connectome in which network features of interest are selectively preserved, and by assessing the magnitude of fluctuations simulated with these surrogates.
Journal ArticleDOI

Individual variation in the propensity for prospective thought is associated with functional integration between visual and retrosplenial cortex.

TL;DR: It is found that strong intrinsic communication between visual and retrosplenial cortex was correlated with the degree of social thoughts about the future, and the role of the DMN in imagination may emerge from its capacity to bind together distributed representations from across the cortex in a coherent manner.
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Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions)

TL;DR: T Tsukahara et al. as discussed by the authors found that fluid intelligence, working memory capacity, and attention control did correlate with baseline pupil size except in the brightest lighting conditions, which is due to the monitor settings being too bright.
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Causal search procedures for fMRI: review and suggestions

TL;DR: The most commonly used algorithms for causal search on fMRI data are reviewed and discussed, with particular attention paid to aspects of the algorithms useful for substantive neuroimaging researchers.
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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