… the connectome, are attained through either the staining of … Large scale modulation of brain
excitability was also observed from … , DTI) are employed to directly visualize and identify brain …

… brain parcels, neuronal populations, or even single neurons, … have since extended and
optimized cmICA from structural to … detect disease traces that could be missing by using either …

… third of the nucleus, large-scale investigations between optimal … broad-lense whole-brain
functional connectome to illustrate … pump in cerebellar Purkinje neurons 64 with ouabain blocks …

… accepted view that large-scale brain organization can be … to include the data from the 233
presurgical evaluations that they had … The optimization algorithm parameters were set on the …

… Instead, we traced tau tangle movement between brain … It is more versatile than learning-based
models, such as neural … Moreover, our optimization strategy is more suitable for clinical …

… To optimize data quality, we develop and apply novel … (pVTC), there is a clear large-scale
pattern progressing from images … is a brain-optimized neural network trained using data from …

… Large-scale theoretical models of functional activity also report … The weights were optimized
using stochastic gradient … -surgery connectomes as x n , to post-surgery connectomes …

… ultimately corresponds to a large-scale axis of cortical feature … most frequently studied using
diffusion tensor imaging (DTI), … to be phylogenetically newer and optimized for exerting top-…

… Large-scale behavioral and neuroanatomical data from … The SCCAN method uses an
optimization procedure to derive … We used the LEAD Connectome pipeline to explore the white …

… activity across distributed large-scale functional networks. Recent … fMRI data to generate
predictions of individually optimized … , diffusion tensor imaging (DTI) sequences for estimating …