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Docteur de l'université Automatic Segmentation and Shape Analysis ...

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Chapter 5 Quantitative shape analysis of hippocampus in AD 133<br />

The correlation between subregional shape components <strong>and</strong> the memory scores<br />

are comparable to the between mean difference. The variation mo<strong>de</strong>s extracted<br />

on the hippocampal subregions (Figure 5.12) are also consistent with the pattern<br />

along the mean difference direction in Figure 5.14.<br />

In the correlation analysis, the MS mo<strong>de</strong>ls were able to i<strong>de</strong>ntify the shape com-<br />

ponents with the maximum correlation higher than other shape or size-<strong>and</strong>-shape<br />

mo<strong>de</strong>ls, <strong>de</strong>spite of the superiority of MR to MS in the disease classification. It is<br />

because more principal components from MR mo<strong>de</strong>ls are found to correlate with<br />

the memory <strong>de</strong>cline, while to a less <strong>de</strong>gree comparing to the fewer but higher cor-<br />

relations of MS components. Therefore using the features from MR though less<br />

correlated with the memory <strong>de</strong>cline may contribute to the higher classification ac-<br />

curacy. The mean difference direction in the MS mo<strong>de</strong>ls are also more correlated<br />

with the memory scores than rigidly aligned mo<strong>de</strong>ls.<br />

The correlation analysis was not <strong>de</strong>signed to specify the involvement of one partic-<br />

ular subfield in episodic memory processes, for instance in encoding <strong>and</strong> retrieval<br />

processes that are thought to preferentially engage different hippocampal subfields<br />

(Henson, 2005; Eldridge et al., 2005). Our findings however confirm the preferen-<br />

tial implication of both CA1 <strong>and</strong> subiculum changes in episodic memory <strong>de</strong>ficits<br />

in AD. The regions with variation of most significant correlation with the episodic<br />

memory in<strong>de</strong>x also mainly matches to the CA1 <strong>and</strong> subiculum subfields.<br />

5.7 Summary<br />

The shape of the hippocampus can provi<strong>de</strong> valuable information for the diagnosis<br />

of AD. The principal components of the hippocampus among the population as<br />

mo<strong>de</strong>led by the SSM can be used to classify AD against NC. The conventional<br />

PCA in SSM is performed on all the l<strong>and</strong>mark points on the surface, which rep-<br />

resents the original shape data in a lower dimensional subspace, but may be not<br />

discriminative between two groups. The whole-surface <strong>de</strong>scription of variation in-<br />

corporating both hippocampal shape among the population may be not sensitive

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