NeuRA Imaging Centre


Identifying fMRI Model Violations with Lagrange Multiplier Tests (Ben Cassidy)

This software comprises tools for identifying model violation in Functional Magnetic Resonance Imaging analysis. The diagnostic tests are available as a MATLAB toolbox, and can be run from the MATLAB command line or incorporated in batch scripts as part of a full fMRI analysis pipeline.

The current version includes tests for violation of the following model assumptions:
– Double Gamma (canonical) hemodynamic response function
– Double Gamma and temporal derivative HRF (derivative as defined in SPM software)
– Double Gamma and temporal derivative HRF (derivative as defined in FSL software)
– Time-varying HRF
– Non-linear HRF

Download software (version 0.3)
Latest software version and development branches available at

Cassidy, B., Long, C.J., Rae, C and Solo, V.
Identifying fMRI model violations with Lagrange multiplier tests.
IEEE Transactions in Medical Imaging (in press 03/04/2012).

Cassidy, B and Solo, V.
fMRI Model Diagnostics for the Double Gamma and Temporal Derivative,
IEEE International Symposium on Biomedical Imaging, 2012

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Caress the Detail: A Comprehensive MRI Atlas of the in Vivo Human Brain

This project aims to deliver the most comprehensive, detailed and stereotaxically accurate MRI atlas of the canonical human brain. In human neuroscience, researchers and clinicians almost always investigate images obtained from living individuals. Yet, there is no satisfactory MRI atlas of the human brain in vivo or post-mortem. There are some population-based atlases, which valiantly solve a number of problems, but they fail to address major needs. Most problematically, they segment only a small number of brain structures, typically about 50, and they are of limited value for the interpretation of a single subject/patient. In contrast to population-based approaches, the present project will investigate normal, living subjects in detail. We aim to define approximately 800 structures, as in the histological atlas of Mai, Majtanik and Paxinos (2016), and, thus, provide a “gold standard” for science and clinical practice. We will do this by obtaining high-resolution MRI at 3T and 7T of twelve subjects through a collaboration with Markus Barth from the Centre for Advanced Imaging at the University of Queensland (UQ). The limited number of subjects will allow us to image each for longer periods, obtaining higher resolution and contrast, and to invest the required time to produce unprecedented detail in segmentation. We will produce an electronic atlas for interpreting MR images, both as a tablet application and as an online web service. The tablet application will provide a convenient and powerful exegesis of brain anatomy for researchers and clinicians. The open access web service will additionally provide images, segmentation and anatomical templates to be used with most common MR-analysis packages (e.g., SPM, FSL, MINC, BrainVoyager). This will be hosted in collaboration with UQ, supporting and complementing their population-based atlas.