Early life stress is associated with alterations in brain function and connectivity during affective processing, especially in the fronto-limbic pathway. However, most of the previous studies were limited to a small set of priori-selected regions and did not address the impact of stress timing on ...
A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices. Here, we perform biophysically realistic simulations to control the ground-truth task-modulated functional connectivity over a wide range of ...
Yet, extant statistical methods are limited to linking covariates with variations in functional connectivity across subjects, especially at the voxel﹚ise level of the whole brain. This paper introduces a modeling approach that regresses whole‐brain functional connectivity on covariates. Our approach is...
Among the selected 23 RSFCs, there were 3 between the brain regions within DMN (Figure 3). The first was the functional connection between the right caudate and the right hippocampus. The second was the connectivity between the right superior frontal gyrus (orbital) and the right superior front...
Interregional functional connectivity was assessed based on a predefined template which parcellated the brain into 90 regions. Altered whole-brain functional connectivity patterns were identified via connectivity comparisons between the AD and NC subjects. Finally, the relationship between functional ...
Chen, B. Abnormal cortical regions and subsystems in whole brain functional connectivity of mild cognitive impairment and Alzheimer’s disease: a preliminary study.Aging Clin Exp Res33, 367–381 (2021). https://doi.org/10.1007/s40520-020-01539-7 ...
The main question then becomes whether any sE values would fit the LSD condition (using the sensitivity of the functional connectivity dynamics) while still using the original whole-brain placebo model but now including the new element of receptor binding through the global gain scaling parameter, ...
Anteraper et al. explain the significance of this research in the paper’s conclusion, “The description of functional connectivity abnormalities reported in this study using whole-brain, data-driven analyses has the potential to crucially advance the development of ASDbiomarkers, ta...
In conclusion, here we present a new tool for introducing anatomical or functional information in whole-brain machine learning models using sparse multiple kernel learning. When the grouping structure defined by the atlas is consistent with the data and the sparsity constraint is appropriate, the prop...
❝Recent innovative brain studies in functional PET have shown the possibility of using 18F-FDG PET to study dynamic changes in glucose metabolism within a single session with the aid of constant infusion protocols (24). However, conducting such challenge-based studies is non-trivial in a TB-...