Interests

Spatial statistics and morphometry analyses of Magnetic Resonance brain images. Current main focus is on enhancements and extensions to the standard Voxel Based Morphometry (VBM) method, mostly through the improvement of the registration step and by expanding the available useful input information. Currently exploring the possibilities of developing a multivariate, regionally adaptable non-linear registration algorithm to quantify the anatomical variability bound, using this knowledge to improve the subsequent statistical analyses, eventually leading towards an effective tool for single subject analysis.

Research Focus

Keywords

Registration

VBM

MRI

Spatial Statistics

Clinical conditions

Alzheimer's disease

Dementia

Equipment

Magnetic resonance imaging (MRI)

Positron Emission Tomography (PET)

Collaborators

Cambridge

Seyed Sajjadi

Julio Acosta-Cabronero

Lara Grenu

Peter Nestor

Karalyn Patterson

Guy Williams

Publications

2010

Pereira JM, Xiong L, Acosta-Cabronero J, Pengas G, Williams GB, Nestor PJ (2010), “Registration accuracy for VBM studies varies according to region and degenerative disease grouping.” Neuroimage 49(3):2205-15 Details

2009

Pengas G, Pereira JM, Williams GB, Nestor PJ (2009), “Comparative reliability of total intracranial volume estimation methods and the influence of atrophy in a longitudinal semantic dementia cohort.” J Neuroimaging 19(1):37-46 Details

Pereira JM, Williams GB, Acosta-Cabronero J, Pengas G, Spillantini MG, Xuereb JH, Hodges JR, Nestor PJ (2009), “Atrophy patterns in histologic vs clinical groupings of frontotemporal lobar degeneration.” Neurology 72(19):1653-60 Details

2008

Acosta-Cabronero J, Williams GB, Pereira JM, Pengas G, Nestor PJ (2008), “The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry.” Neuroimage 39(4):1654-65 Details

Pereira JM, Nestor PJ, Williams GB (2008), “Impact of inconsistent resolution on VBM studies.” Neuroimage 40(4):1711-7 Details