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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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A toolbox for brain network construction and classification (BrainNetClass).

TL;DR: A “Brain Network Construction and Classification (BrainNetClass)” toolbox is introduced to promote more advanced brain network construction methods to the filed, including some state‐of‐the‐art methods that were recently developed to capture complex and high‐order interactions among brain regions.
Journal ArticleDOI

Inter-individual differences in pain processing investigated by functional magnetic resonance imaging of the brainstem and spinal cord.

TL;DR: Brain fMRI results show that BOLD responses in a number of cortical regions are correlated with individual pain ratings, and SEM results demonstrate the network of brainstem and spinal cord regions that contribute to the pain response, and reveal differences related to individual pain sensitivity.
Journal ArticleDOI

The role of default mode network in semantic cue integration.

TL;DR: These findings are consistent with the view that regions of DMN support states of information integration that constrain ongoing cognition and provide a framework for understanding the location of these effects at the heteromodal end of the principal gradient.
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Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: A randomized controlled trial in overweight and obese subjects.

TL;DR: It is demonstrated that one session of fMRI neurofeedback training enables individuals with increased body weight to up‐regulate activity of the left dlPFC, which contributes to cognitive control of food intake.
Journal ArticleDOI

Altered functional brain connectivity in patients with visually induced dizziness

TL;DR: Findings provide the first insights into the underlying functional brain connectivity in VID patients, which could underlie the typical VID symptoms such as a worsening of their vestibular symptoms when being exposed to challenging visual stimuli.
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

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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.