Connectomes are typically mapped at low resolution based on a specific brain parcellation
atlas. Here, we investigate high-resolution connectomes independent of any atlas, propose …

Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for
dimensionality reduction and interpreting human neuroscience studies. We previously …

At the group-level, deep brain stimulation leads to significant therapeutic benefit in a
multitude of neurological and neuropsychiatric disorders. At the single-patient level …

Recollection of one's personal past, or autobiographical memory (AM), varies across
individuals and across the life span. This manifests in the amount of episodic content …

Distinct regions of the cerebellum connect to separate regions of the cerebral cortex forming
a complex topography. Although cerebellar organization has been examined in group …

Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …

The global signal in resting-state functional MRI data is considered to be dominated by
physiological noise and artifacts, yet a growing literature suggests that it also carries …

Prior work has shown that there is substantial interindividual variation in the spatial
distribution of functional networks across the cerebral cortex, or functional topography …

Although the general location of functional neural networks is similar across individuals,
there is vast person-to-person topographic variability. To capture this, we implemented …

Deep-learning models have enabled performance leaps in analysis of high-dimensional
functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for …