Abstract Analysis and interpretation of neuroimaging datasets has become a
multidisciplinary endeavor, relying not only on statistical methods, but increasingly on …

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of
the human brain; the first of which is 'BigBrain'. Here, we review recent methodological …

Connectivity hyperalignment can be used to estimate a single shared response space
across disjoint datasets. We develop a connectivity-based shared response model that …

Deidentifying MRIs constitutes an imperative challenge, as it aims at precluding the
possibility of re‐identification of a research subject or patient, but at the same time it should …

The focus of this article is to compare twenty normative and open-access neuroimaging
databases based on quantitative measures of image quality, namely, signal-to-noise (SNR) …

It is increasingly common to statistically compare macroscopic brain maps to assess how
spatially similar they are. Due to the presence of spatial autocorrelation, statistical inference …