With NIH funding of the Human Connectome Project (http://www.humanconnectomeproject.org), the field of AAN connectomics is now expanding due to ultra-high resolution HARDI techniques for structural connectomic analyses and resting - state functional MRI (rs - fMRI) techniques for
functional connectivity analyses.
Convergent structural and
functional connectivity analyses suggest that PCC - mPFC connectivity along the cingulum bundle is the most immature link in the DMN of children.
Functional connectivity analyses can be performed while the person or animal in the scanner is at rest, not doing anything complicated.
Resting state
functional connectivity analysis showed decreased connectivity of the dorsal anterior cingulate (dACC) to the NAcc in TTM.
Not exact matches
Heritability of «small - world» networks in the brain: a graph theoretical
analysis of resting - state EEG
functional connectivity
Psychophysiological interaction
analyses identified increased familiarity - and monitoring - related
functional connectivity with separate bilateral caudate seeds.
Large - scale network dysfunction in major depressive disorder: a meta -
analysis of resting - state
functional connectivity.
A within - group
analysis was performed in the depressed group to explore effects of depression refractoriness on
functional connectivity.Resting - state subgenual cingulate and thalamic
functional connectivity with the default - mode network were significantly greater in the depressed subjects.
«Graph
analysis and modularity of brain
functional connectivity networks: searching for the optimal threshold»
Participants (aged 10 - 23 years) included 17 males and females with FXS and 16 males and females serving as controls.Univariate voxel - based morphometric
analyses, fractional amplitude of low - frequency fluctuations (fALFF)
analysis, and group - independent component
analysis with dual regression.Patients with FXS showed decreased
functional connectivity in the salience, precuneus, left executive control, language, and visuospatial networks compared with controls.
Additionally, we perform two different rs - fMRI
analysis methods - dual regression and region - of - interest based
functional connectivity - and highlight the preprocessing parameters that optimize both approaches.
Using seed regions from the
functional connectivity maps, the DTI
analysis revealed robust structural connections between the MTLs and the retrosplenial cortex whereas tracts from the MPFC contacted the PCC (just rostral to the RSC).
Functional connectivity is typically measured using one of three approaches: (1) regression
analysis using a seed region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation
analysis of multiple regions of interest (Ryali et al., 2012), or (3) independent component
analysis (ICA) of the entire imaging dataset to identify spatial maps with common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).
Recent studies have shown that it is possible to reliably identify this network in the absence of any task, by resting state
functional magnetic resonance imaging
connectivity analyses in healthy volunteers.
Resting - State fMRI Data
Analysis Toolkit (REST) is a convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low - Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality, voxel - mirrored homotopic connectivity (VMHC) and perform statistical a
Analysis Toolkit (REST) is a convenient toolkit to calculate
Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low - Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality, voxel - mirrored homotopic connectivity (VMHC) and perform statistic
Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low - Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality, voxel - mirrored homotopic
connectivity (VMHC) and perform statistic
connectivity (VMHC) and perform statistical
analysisanalysis.
Dynamic brain connectome (DynamicBC)
analysis toolbox is a Matlab toolbox to calculate Dynamic
Functional Connectivity (d - FC) and Dynamic Effective
Connectivity (d - EC).
In contrast to fcMRI
analyses that define networks based on intrinsic
connectivity, most
functional imaging studies employ cognitive subtraction paradigms.
Functional connectivity of the anterior cingulate cortex within the human frontal lobe: A brain - mapping meta -
analysis