Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-14T15:22:51.507Z Has data issue: false hasContentIssue false

Hippocampal and entorhinal structures in subjective memory impairment: a combined MRI volumetric and DTI study

Published online by Cambridge University Press:  09 January 2017

Seon Young Ryu
Affiliation:
Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, South Korea
Eun Ye Lim
Affiliation:
Department of Neurology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
Seunghee Na
Affiliation:
Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
Yong Soo Shim
Affiliation:
Department of Neurology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, South Korea
Jung Hee Cho
Affiliation:
Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
Bora Yoon
Affiliation:
Department of Neurology, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, South Korea
Yun Jeong Hong
Affiliation:
Department of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan, South Korea
Dong Won Yang
Affiliation:
Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea

Abstract

Background:

Subjective memory impairment (SMI) is common among older adults. Increasing evidence suggests that SMI is a risk factor for future cognitive decline, as well as for mild cognitive impairment and dementia. Medial temporal lobe structures, including the hippocampus and entorhinal cortex, are affected in the early stages of Alzheimer's disease. The current study examined the gray matter (GM) volume and microstructural changes of hippocampal and entorhinal regions in individuals with SMI, compared with elderly control participants without memory complaints.

Methods:

A total of 45 participants (mean age: 70.31 ± 6.07 years) took part in the study, including 18 participants with SMI and 27 elderly controls without memory complaints. We compared the GM volume and diffusion tensor imaging (DTI) measures in the hippocampal and entorhinal regions between SMI and control groups.

Results:

Individuals with SMI had lower entorhinal cortical volumes than control participants, but no differences in hippocampal volume were found between groups. In addition, SMI patients exhibited DTI changes (lower fractional anisotropy (FA) and higher mean diffusivity in SMI) in the hippocampal body and entorhinal white matter compared with controls. Combining entorhinal cortical volume and FA in the hippocampal body improved the accuracy of classification between SMI and control groups.

Conclusions:

These findings suggest that the entorhinal region exhibits macrostructural as well as microstructural changes in individuals with SMI, whereas the hippocampus exhibits only microstructural alterations.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bae, J. N. and Cho, M. J. (2004). Development of the Korean version of the geriatric depression scale and its short form among elderly psychiatric patients. Journal of Psychosomatic Research, 57, 297305.Google Scholar
Bernasconi, N., Bernasconi, A., Caramanos, Z., Antel, S. B., Andermann, F. and Arnold, D. L. (2003). Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain, 126, 462469.Google Scholar
Braak, H. and Braak, E. (1991). Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica, 82, 239259.Google Scholar
Christensen, K. J., Moye, J., Armson, R. R. and Kern, T. M. (1992). Health screening and random recruitment for cognitive aging research. Psychology and Aging, 7, 204208.Google Scholar
Chua, T. C., Wen, W., Slavin, M. J. and Sachdev, P. S. (2008). Diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease: a review. Current Opinion in Neurology, 21, 8392.Google Scholar
Glodzik-Sobanska, L. et al. (2007). Subjective memory complaints: presence, severity and future outcome in normal older subjects. Dementia and Geriatric Cognitive Disorders, 24, 177184.CrossRefGoogle ScholarPubMed
Hong, Y. J. et al. (2013). Microstructural changes in the hippocampus and posterior cingulate in mild cognitive impairment and Alzheimer's disease: a diffusion tensor imaging study. Neurological Sciences, 34, 12151221.Google Scholar
Jessen, F. et al. (2006). Volume reduction of the entorhinal cortex in subjective memory impairment. Neurobiology of Aging, 27, 17511756.Google Scholar
Jessen, F. et al. (2010). Prediction of dementia by subjective memory impairment: effects of severity and temporal association with cognitive impairment. Archives of General Psychiatry, 67, 414422.Google Scholar
Jessen, F. et al. (2014). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers & Dementia, 10, 844852.CrossRefGoogle ScholarPubMed
Kang, Y. W. and Na, D. L. (2003). Seoul Neuropsychological Screening Battery. Incheon: Human Brain Research and Consulting Co.Google Scholar
Kang, Y. W., Na, D. L. and Hahn, S. H. (1997). A validity study on the Korean mini-mental state examination (K-MMSE) in dementia patients. Journal of the Korean Neurological Association, 15, 300308.Google Scholar
Masutani, Y., Aoki, S., Abe, O., Hayashi, N. and Otomo, K. (2003). MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization. European Journal of Radiology, 46, 5366.CrossRefGoogle ScholarPubMed
Meiberth, D. et al. (2015). Cortical thinning in individuals with subjective memory impairment. Journal of Alzheimers Diseases, 45, 139146.Google Scholar
Morris, J. C. (1997). Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. International Psychogeriatrics, 9 (Suppl. 1), 173176; discussion 177–178.Google Scholar
Peter, J. et al. (2014). Gray matter atrophy pattern in elderly with subjective memory impairment. Alzheimers & Dementia, 10, 99108.CrossRefGoogle ScholarPubMed
Pruessner, J. C. et al. (2000). Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories. Cerebral Cortex, 10, 433442.Google Scholar
Pruessner, J. C. et al. (2002). Volumetry of temporopolar, perirhinal, entorhinal and parahippocampal cortex from high-resolution MR images: considering the variability of the collateral sulcus. Cerebral Cortex, 12, 13421353.Google Scholar
Robin, X. et al. (2011). pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics, 12, 77.CrossRefGoogle Scholar
Saykin, A. J. et al. (2006). Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI. Neurology, 67, 834842.Google Scholar
Schultz, S. A. et al. (2015). Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle-aged adults at risk for AD. Alzheimers Dement (Amst), 1, 3340.CrossRefGoogle ScholarPubMed
Selnes, P. et al. (2012). White matter imaging changes in subjective and mild cognitive impairment. Alzheimers Dement, 8, S112–121.Google Scholar
Selnes, P. et al. (2013). Diffusion tensor imaging surpasses cerebrospinal fluid as predictor of cognitive decline and medial temporal lobe atrophy in subjective cognitive impairment and mild cognitive impairment. Journal of Alzheimers Diseases, 33, 723736.CrossRefGoogle ScholarPubMed
Solodkin, A. et al. (2013). In vivo parahippocampal white matter pathology as a biomarker of disease progression to Alzheimer's disease. The Journal of Comparative Neurology, 521, 43004317.Google Scholar
Striepens, N. et al. (2010). Volume loss of the medial temporal lobe structures in subjective memory impairment. Dementia and Geriatric Cognitive Disordorders, 29, 7581.Google Scholar
Swets, J. A. (1988). Measuring the accuracy of diagnostic systems. Science, 240, 12851293.Google Scholar
van der Flier, W. M. et al. (2004). Memory complaints in patients with normal cognition are associated with smaller hippocampal volumes. Journal of Neurology, 251, 671675.Google Scholar
Van Hoesen, G. W. (1995). Anatomy of the medial temporal lobe. Magnetic Resonance Imaging, 13, 10471055.Google Scholar
Visser, P. J. et al. (2009). Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study. The Lancet Neurology, 8, 619627.Google Scholar
Wang, Y. et al. (2012). Selective changes in white matter integrity in MCI and older adults with cognitive complaints. Biochimica et Biophysica Acta, 1822, 423430.Google Scholar