Middle, a cortical map of age at peak regional volume relative to age at peak GMV (5.9 years), highlighting regions that peak earlier (blue) or later (red) than GMV. Bottom, illustrative trajectories for the earliest peaking region (superior parietal lobe, blue line) and the latest peaking...
They combined several brain mapping techniques that have previously been used only separately, namely, task-based functional MRI (fMRI), which yields information on the functions of different regions; resting-state fMRI, which details neural connectivity within and between different regions; and relative...
While single-cell technologies have greatly advanced our comprehension of human brain cell types and functions, studies including large numbers of donors and multiple brain regions are needed to extend our understanding of brain cell heterogeneity. Integrating atlas-level single-cell data presents a chan...
We performed whole-brain tractography based on the orientation distribution functions. Connectivity matrices were compiled, representing the proportion of detected fibers interconnecting 68 cortical regions. We found clear disease effects on anatomical network topology in the structural backbone – the so-...
the two overlays you have selected to make this patch. This will extract the values of the two overlays that fall into the ROIs in some other overlay and create a 2D scatterplot from those values. The scatterplot helps identify regions that show a stronger effect in one overlay than ...
PBMCs not only produced potent anti-GluN1 autoantibodies, but also disrupted BBB integrity to allow brain access of autoantibodies, resulting in a hyperactive locomotor phenotype, anxiety- and depressive-like behaviors, cognitive deficits, as well as functional changes in corresponding brain regions. ...
Understand why it is thought that many of the different components of sensory information processing, higher cognitive function and motor control are carried out by specific regions of the brain. Learners will become familiar with some of the evidence from anatomical, molecular, physiological and funct...
Then, we measured the relevance scores for each EEG electrode from the unseen (meta-test) subjects using DeepConvNet as a feature extractor to demonstrate which electrodes contributed to the model decision (i.e., which brain regions were activated for the prediction). Fig. 5, Fig. 6 ...
30: single-cell RNA-seq in human cortex (rawMatrix.zip retrieved from: https://cells.ucsc.edu/?ds=autism), and iv] BrainSpan: bulk RNA-seq across human brain regions and developmental stages (“RNA-Seq Gencode v10 summarized to genes” dataset retrieved from: https://www.brainspan.org/...
More specifically we compare developmental miRNA and gene expression in the caudal regions including the mesencephalon and metencephalon that develop relatively early, with more rostral areas such as the telencephalon and diencephalon which develop later [27], as we hypothesize that miRNA are the ...