Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons

Wen Zhang, Jie Shi, Cynthia M Stonnington, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Paul M. Thompson, Eric M. Reiman, Richard John Caselli, Yalin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Alzheimers disease (AD) is a progressive neurodegenerative disease most prevalent in the elderly. Distinguishing disease-related memory decline from normal age-related memory decline has been clinically difficult due to the subtlety of cognitive change during the preclinical stage of AD. In contrast, sensitive biomarkers derived from in vivo neuroimaging data could improve the early identification of AD. In this study, we employed a morphometric analysis in the hippocampus and lateral ventricle. A novel group-wise template-based segmentation algorithm was developed for ventricular segmentation. Further, surface multivariate tensor-based morphometry and radial distance on each surface point were computed. Using Hotellings T2 test, we found significant morphometric differences in both hippocampus and lateral ventricle between stable and clinically declining subjects. The left hemisphere was more severely affected than the right during this early disease stage. Hippocampal and ventricular morphometry has significant potential as an imaging biomarker for onset prediction and early diagnosis of AD.

Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Pages14-18
Number of pages5
Volume2016-June
ISBN (Electronic)9781479923502
DOIs
StatePublished - Jun 15 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: Apr 13 2016Apr 16 2016

Other

Other2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
CountryCzech Republic
CityPrague
Period4/13/164/16/16

Fingerprint

Lateral Ventricles
Hippocampus
Alzheimer Disease
Biomarkers
Neuroimaging
Neurodegenerative Diseases
Neurodegenerative diseases
Data storage equipment
Early Diagnosis
Tensors
Imaging techniques

Keywords

  • Cognitive Decline
  • Hippocampus
  • Lateral Ventricle
  • Morphometry
  • Ventricle Segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Zhang, W., Shi, J., Stonnington, C. M., Bauer, R. J., Gutman, B. A., Chen, K., ... Wang, Y. (2016). Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (Vol. 2016-June, pp. 14-18). [7493200] IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493200

Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. / Zhang, Wen; Shi, Jie; Stonnington, Cynthia M; Bauer, Robert J.; Gutman, Boris A.; Chen, Kewei; Thompson, Paul M.; Reiman, Eric M.; Caselli, Richard John; Wang, Yalin.

2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June IEEE Computer Society, 2016. p. 14-18 7493200.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, W, Shi, J, Stonnington, CM, Bauer, RJ, Gutman, BA, Chen, K, Thompson, PM, Reiman, EM, Caselli, RJ & Wang, Y 2016, Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. in 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. vol. 2016-June, 7493200, IEEE Computer Society, pp. 14-18, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 4/13/16. https://doi.org/10.1109/ISBI.2016.7493200
Zhang W, Shi J, Stonnington CM, Bauer RJ, Gutman BA, Chen K et al. Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June. IEEE Computer Society. 2016. p. 14-18. 7493200 https://doi.org/10.1109/ISBI.2016.7493200
Zhang, Wen ; Shi, Jie ; Stonnington, Cynthia M ; Bauer, Robert J. ; Gutman, Boris A. ; Chen, Kewei ; Thompson, Paul M. ; Reiman, Eric M. ; Caselli, Richard John ; Wang, Yalin. / Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June IEEE Computer Society, 2016. pp. 14-18
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abstract = "Alzheimers disease (AD) is a progressive neurodegenerative disease most prevalent in the elderly. Distinguishing disease-related memory decline from normal age-related memory decline has been clinically difficult due to the subtlety of cognitive change during the preclinical stage of AD. In contrast, sensitive biomarkers derived from in vivo neuroimaging data could improve the early identification of AD. In this study, we employed a morphometric analysis in the hippocampus and lateral ventricle. A novel group-wise template-based segmentation algorithm was developed for ventricular segmentation. Further, surface multivariate tensor-based morphometry and radial distance on each surface point were computed. Using Hotellings T2 test, we found significant morphometric differences in both hippocampus and lateral ventricle between stable and clinically declining subjects. The left hemisphere was more severely affected than the right during this early disease stage. Hippocampal and ventricular morphometry has significant potential as an imaging biomarker for onset prediction and early diagnosis of AD.",
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AU - Chen, Kewei

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