Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably
used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data …

Computational models have been be used to estimate the electric and magnetic fields
induced by transcranial magnetic stimulation (TMS) and can provide valuable insights into the …

Our ability to interact physically with objects in the external world critically depends on temporal
coupling between perception and movement (sensorimotor timing) and swift behavioral …

Importance Among patients seeking care for musculoskeletal conditions, there is mixed
evidence regarding whether traditional, structure-based care is associated with improvement in …

Research into the human connectome (ie, all connections in the human brain) with the use
of resting state functional MRI has rapidly increased in popularity in recent years, especially …

The UK Biobank (UKB) is a highly promising dataset for brain biomarker research into population
mental health due to its unprecedented sample size and extensive phenotypic, imaging…

Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures.
To predict behavioral measures, representing RSFC with parcellations and gradients are the …

As the global health crisis unfolded, many academic conferences moved online in 2020. This
move has been hailed as a positive step towards inclusivity in its attenuation of economic, …

We respond to a critique of our temporal Independent Components Analysis (ICA) method
for separating global noise from global signal in fMRI data that focuses on the signal versus …

Recent work has highlighted the scale and ubiquity of subject variability in observations
from functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of …