Over 170 years ago, the accident of American railroad worker Phineas Gage first revealed that specific brain regions were important for certain functions. Since then, various research work has been performed
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...
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 ...
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...
Dragicevic N, Mamcarz M, Zhu Y, Buzzeo R, Tan J, Arendash GW, Bradshaw PC (2010) Mitochondrial amyloid-beta levels are associated with the extent of mitochondrial dysfunction in different brain regions and the degree of cognitive impairment in Alzheimer’s transgenic mice. J Alzheimers Dis 20...
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 ...