MRI diffusion data suffers from significant inter-and intra-site variability, which hinders multi-
site and/or longitudinal diffusion studies. This variability may arise from a range of factors …

Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …

In magnetic resonance (MR) imaging, a lack of standardization in acquisition often causes
pulse sequence-based contrast variations in MR images from site to site, which impedes …

Data harmonization is an important method for combining or transforming data. To date
however, articles about data harmonization are field-specific and highly technical, making it …

Purpose In the present work, we describe the correction of diffusion‐weighted MRI for site
and scanner biases using a novel method based on invariant representation. Theory and …

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke
Recovery working group is to understand brain and behavior relationships using well …

Medical imaging is a great asset for modern medicine, since it allows physicians to spatially
interrogate a disease site, resulting in precise intervention for diagnosis and treatment, and …

Combining transcranial magnetic stimulation (TMS) with functional magnetic resonance
imaging offers an unprecedented tool for studying how brain networks interact in vivo and …

The analysis of large, multisite neuroimaging datasets provides a promising means for
robust characterization of brain networks that can reduce false positives and improve …

Research into the brain basis of psychopathology is challenging due to the heterogeneity of
psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis …