» Articles » PMID: 18296551

Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease

Overview
Specialty Neurology
Date 2008 Feb 26
PMID 18296551
Citations 80
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: Mild cognitive impairment (MCI) is considered by many to be a prodromal phase of Alzheimer disease (AD). We used voxel-based morphometry (VBM) to find out whether structural differences on MR imaging could offer insight into the development of clinical AD in patients with amnestic MCI at 3-year follow-up.

Materials And Methods: Twenty-four amnestic patients with MCI were included. After 3 years, 46% had progressed to AD (n = 11; age, 72.7 +/- 4.8 years; women/men, 8/3). For 13 patients (age, 72.4 +/- 8.6 years; women/men, 10/3), the diagnosis remained MCI. Baseline MR imaging at 1.5T included a coronal heavily T1-weighted 3D gradient-echo sequence. Localized gray matter differences were assessed with VBM.

Results: The converters had less gray matter volume in medial (including the hippocampus) and lateral temporal lobe, parietal lobe, and lateral temporal lobe structures. After correction for age, sex, total gray matter volume, and neuropsychological evaluation, left-sided atrophy remained statistically significant. Specifically, converters had more left parietal atrophy (angular gyrus and inferior parietal lobule) and left lateral temporal lobe atrophy (superior and middle temporal gyrus) than stable patients with MCI.

Conclusion: By studying 2 MCI populations, converters versus nonconverters, we found atrophy beyond the medial temporal lobe to be characteristic of patients with MCI who will progress to dementia. Atrophy of structures such as the left lateral temporal lobe and left parietal cortex may independently predict conversion.

Citing Articles

Lower slow wave sleep and rapid eye-movement sleep are associated with brain atrophy of AD-vulnerable regions.

Cho G, Mecca A, Buxton O, Liu X, Miner B bioRxiv. 2025; .

PMID: 39868141 PMC: 11761512. DOI: 10.1101/2025.01.12.632386.


FORTCARE-MCI study protocol: evaluation of Fortasyn Connect in the management of mild cognitive impairment in primary care.

Arrieta E, Baz P, Garcia-Ribas G Front Neurol. 2024; 15:1434210.

PMID: 39463791 PMC: 11503483. DOI: 10.3389/fneur.2024.1434210.


A Two-Year Observational Study to Evaluate Conversion Rates from High- and Low-Risk Patients with Amnestic Mild Cognitive Impairment to Probable Alzheimer's Disease in a Real-World Setting.

Jang H, Na D, Kwon J, Jung N, Moon Y, Lee J J Alzheimers Dis Rep. 2024; 8(1):851-862.

PMID: 38910942 PMC: 11191635. DOI: 10.3233/ADR-230189.


A multimodal machine learning model for predicting dementia conversion in Alzheimer's disease.

Lee M, Kim H, Choe Y, Yang H, Lee J, Lee H Sci Rep. 2024; 14(1):12276.

PMID: 38806509 PMC: 11133319. DOI: 10.1038/s41598-024-60134-2.


Hyperbaric Oxygen Improves Long-Term Learning and Memory Impairment by Attenuating Neuronal Apoptosis in aMCI Rats.

Zhang Y, Lin X, Ye C, Zhang P J Inflamm Res. 2024; 17:3043-3055.

PMID: 38770175 PMC: 11103017. DOI: 10.2147/JIR.S455155.


References
1.
Scheltens P, Leys D, Barkhof F, Huglo D, Weinstein H, Vermersch P . Atrophy of medial temporal lobes on MRI in "probable" Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry. 1992; 55(10):967-72. PMC: 1015202. DOI: 10.1136/jnnp.55.10.967. View

2.
Ashburner J, Friston K . Voxel-based morphometry--the methods. Neuroimage. 2000; 11(6 Pt 1):805-21. DOI: 10.1006/nimg.2000.0582. View

3.
Jack Jr C, Shiung M, Weigand S, OBrien P, Gunter J, Boeve B . Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology. 2005; 65(8):1227-31. PMC: 2753547. DOI: 10.1212/01.wnl.0000180958.22678.91. View

4.
Bell-McGinty S, Lopez O, Meltzer C, Scanlon J, Whyte E, DeKosky S . Differential cortical atrophy in subgroups of mild cognitive impairment. Arch Neurol. 2005; 62(9):1393-7. DOI: 10.1001/archneur.62.9.1393. View

5.
deToledo-Morrell L, Stoub T, Bulgakova M, Wilson R, Bennett D, Leurgans S . MRI-derived entorhinal volume is a good predictor of conversion from MCI to AD. Neurobiol Aging. 2004; 25(9):1197-203. DOI: 10.1016/j.neurobiolaging.2003.12.007. View