Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Chronic post-concussive symptoms are common after mild traumatic brain injury (mTBI) and
are difficult to predict or treat. Thalamic functional integrity is particularly vulnerable in mTBI …

The prediction of functional outcome after mild traumatic brain injury (mTBI) is challenging.
Conventional magnetic resonance imaging (MRI) does not do a good job of explaining the …

Studying small effects or subtle neuroanatomical variation requires large-scale sample size
data. As a result, combining neuroimaging data from multiple datasets is necessary …

In multicenter MRI studies, pooling the imaging data can introduce site-related variabilities
and can therefore bias the subsequent analyses. To harmonize the intensity distributions of …

MRI scanner hardware, field strengths, and sequence parameters are major variables in
diffusion studies of the spinal cord. Reliability between scanners is not well known …

Background Multimodal modeling that combines biological and clinical data shows promise
in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who …

Objectives The aim of this study was to determine whether MRI radiomic features of key
cerebral structures differ between women and men, and whether detection of such …

Background: Conventional magnetic resonance imaging (MRI) does not account for all
disability in multiple sclerosis. Objective: The objective was to assess the ability of graph …

Integrating datasets from multiple sites and scanners can increase statistical power for
neuroimaging studies but can also introduce significant inter‐site confounds. We evaluated …