Reading Group: Dementia induces correlated reductions in white matter integrity and cortical thickness

SpeakerJoao Monteiro
DateThursday, 01 Aug 2013
Time16:00 - 17:00
LocationFoster Court 123
Event seriesMachine Learning for Neuroimaging Reading Group

We use a new, unsupervised multivariate imaging and analysis strategy to identify related patterns of
reduced white matter integrity, measured with the fractional anisotropy (FA) derived from diffusion tensor
imaging (DTI), and decreases in cortical thickness, measured by high resolution T1-weighted imaging, in
Alzheimer's disease (AD) and frontotemporal dementia (FTD). This process is based on a novel
computational model derived from sparse canonical correlation analysis (SCCA) that allows us to
automatically identify mutually predictive, distributed neuroanatomical regions from different imaging
modalities. We apply the SCCA model to a dataset that includes 23 control subjects that are demographically
matched to 49 subjects with autopsy or CSF-biomarker-diagnosed AD (n= 24) and FTD (n= 25) with both
DTI and T1-weighted structural imaging. SCCA shows that the FTD-related frontal and temporal degeneration
pattern is correlated across modalities with permutation corrected pb0.0005. In AD, we find significant
association between cortical thinning and reduction in white matter integrity within a distributed parietal
and temporal network (pb0.0005). Furthermore, we show that—within SCCA identified regions—significant
differences exist between FTD and AD cortical-connective degeneration patterns. We validate these distinct,
multimodal imaging patterns by showing unique relationships with cognitive measures in AD and FTD. We
conclude that SCCA is a potentially valuable approach in image analysis that can be applied productively to
distinguishing between neurodegenerative conditions.

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