Montreal Neurological Institute and Hospital

fMRIPrep: a robust preprocessing pipeline for functional MRI

Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space

We present a fully automatic registration method to map volumetric data into stereotaxic space that yields results comparable with those of manually based techniques. The method...

A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain

Many studies of brain function with positron emission tomography (PET) involve the interpretation of a subtracted PET image, usually the difference between two images under base...

Assessing the significance of focal activations using their spatial extent

Abstract Current approaches to detecting significantly activated regions of cerebral tissue use statistical parametric maps, which are thresholded to render the probability of o...

Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study

Multi-level bootstrap analysis of stable clusters in resting-state fMRI

Animal: Validation and Applications of Nonlinear Registration-Based Segmentation

Magnetic resonance imaging (MRI) has become the modality of choice for neuro-anatomical imaging. Quantitative analysis requires the accurate and reproducible labeling of all vox...

A Linear Spatial Correlation Model, with Applications to Positron Emission Tomography

Abstract A simple spatial-correlation model is presented for repeated measures data. Correlation between observations on the same subject is assumed to decay as a linear functio...

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