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Journal ArticleDOI

Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

TLDR
The results indicate that the CompCor method increases the sensitivity and selectivity of fcMRI analysis, and show a high degree of interscan reliability for many fc MRI measures.
Abstract
Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain. However, valid statistical analysis used to identify such networks must address sources of noise in order to avoid possible confounds such as spurious correlations based on non-neuronal sources. We have developed a functional connectivity toolbox Conn (www.nitrc.org/projects/conn) that implements the component-based noise correction method (CompCor) strategy for physiological and other noise source reduction, additional removal of movement, and temporal covariates, temporal filtering and windowing of the residual blood oxygen level-dependent (BOLD) contrast signal, first-level estimation of multiple standard functional connectivity magnetic resonance imaging (fcMRI) measures, and second-level random-effect analysis for resting state as well as task-related data. Compared to methods that rely on global signal regression, the CompCor noise reduction method all...

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Citations
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Journal ArticleDOI

Increased neural connectivity between the hypothalamus and cortical resting-state functional networks in chronic migraine

TL;DR: Investigating the functional connectivity between the hypothalamus, brainstem, and the following areas/networks that are reportedly involved in the pathophysiology of migraine found evidence for hypothalamic involvement in large-scale reorganisation at the functional-network level in CM and in proportion with the perceived severity of the migraine pain.
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Neural Plasticity of Mild Tinnitus: An fMRI Investigation Comparing Those Recently Diagnosed with Tinnitus to Those That Had Tinnitus for a Long Period of Time.

TL;DR: The results suggest that the posterior cingulate and insula may be associated with an early emotional reaction to tinnitus in both task and resting states and may recruit more frontal regions to better control their emotional response and exhibit altered connectivity in the default mode network.
Journal ArticleDOI

A comparison of functional and tractography based networks in cerebral small vessel disease.

TL;DR: Structural networks identify impaired network integrity, and are highly reproducible, in SVD, supporting their use as markers of SVD disease severity, compared to functional networks, which showed low reproducibility.
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Altered Functional Connectivity of the Basal Nucleus of Meynert in Mild Cognitive Impairment: A Resting-State fMRI Study.

TL;DR: MCI is associated with changes in BNM-FC to the insula/claustrum in relation to cognitive impairments, which may advance research of the cholinergic bases of cognitive dysfunction during healthy aging and in individuals at risk of developing Alzheimer’s disease.
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Switching between internally and externally focused attention in obsessive-compulsive disorder: Abnormal visual cortex activation and connectivity

TL;DR: Findings point to an OCD-related impairment in the visual processing of external stimuli specifically when they follow a period of negative internal focus, and suggest that future treatments may wish to target the transition between attentional states.
References
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Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Journal ArticleDOI

The Brain's Default Network Anatomy, Function, and Relevance to Disease

TL;DR: Past observations are synthesized to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment, and for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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Trending Questions (1)
What are the uses of CONN toolbox in ICA analysis when studying clinical populations?

The paper does not specifically mention the use of the CONN toolbox in ICA analysis when studying clinical populations.