White Matter Changes May Precede Gray Matter Loss in Elderly with Subjective Memory Impairment

2016 ◽  
Vol 42 (3-4) ◽  
pp. 227-235 ◽  
Author(s):  
Yun Jeong Hong ◽  
Chan-Mi Kim ◽  
Eun Hye Jang ◽  
Jihye Hwang ◽  
Jee Hoon Roh ◽  
...  

Background/Aims: A limited number of studies addressed MRI-based neurodegenerative changes in subjective memory impairment (SMI). We investigated changes in white matter (WM) microstructures as well as gray matter (GM) macrostructures in subjects with SMI of high and low risk for progression. Methods: A modeling scale (score range, 0-6) developed for prediction of SMI progression was used to divide SMI subjects (n = 46) into two groups: a high risk of progression (score ≥3; n = 19) and a low risk of progression (score ≤2; n = 27). Cross-sectional comparisons were performed using a region-of-interest-based diffusion tensor imaging (DTI) analysis, cortical thickness analysis, and hippocampal volumetry. Results: The high-risk group had more microstructural disruption shown by lower fractional anisotropy in the hippocampus, parahippocampal gyrus, supramarginal gyrus, and parts of frontotemporal lobes. On the other hand, GM macrostructural changes did not differ between the groups and were not associated with modeling scale scores. Conclusion: SMI subjects with a high risk of progression had more WM microstructural disruption than those with a low risk, and the changes were not explained by GM atrophy. Our findings suggest that the degree of microstructural alterations in SMI may be distinctive according to the risk factors and may precede GM atrophy.

2021 ◽  
Vol 18 (1) ◽  
pp. 35-44
Author(s):  
Wen Shao ◽  
Xuwen He ◽  
Xin Li ◽  
Wuhai Tao ◽  
Junying Zhang ◽  
...  

Background and Objective: Subjective memory impairment (SMI) is a preclinical stage prior to amnestic mild cognitive impairment (aMCI) along with the Alzheimer’s disease (AD) continuum. We hypothesized that SMI patients had white matter (WM) network disruptions similar to those in aMCI patients. Methods: We used diffusion-tensor magnetic resonance imaging and graph theory to construct, analyze, and compare the WM networks among 20 normal controls (NC), 20 SMI patients, and 20 aMCI patients. Results: Compared with the NC group, the SMI group had significantly decreased global and local efficiency and an increased shortest path length. Moreover, similar to the aMCI group, the SMI group had lower nodal efficiency in regions located in the frontal and parietal lobes, limbic systems, and caudate nucleus compared to that of the NC group. Conclusion: Similar to aMCI patient, SMI patients exhibited WM network disruptions, and detection of these disruptions could facilitate the early detection of SMI.


2014 ◽  
Vol 10 (1) ◽  
pp. 99-108 ◽  
Author(s):  
Jessica Peter ◽  
Lukas Scheef ◽  
Ahmed Abdulkadir ◽  
Henning Boecker ◽  
Michael Heneka ◽  
...  

2014 ◽  
Vol 41 (3) ◽  
pp. 779-791 ◽  
Author(s):  
Andreas Engvig ◽  
Anders M. Fjell ◽  
Lars T. Westlye ◽  
Nina V. Skaane ◽  
Anders M. Dale ◽  
...  

2011 ◽  
Vol 198 (3) ◽  
pp. 199-205 ◽  
Author(s):  
Robert Stewart ◽  
Ophélia Godin ◽  
Fabrice Crivello ◽  
Pauline Maillard ◽  
Bernard Mazoyer ◽  
...  

BackgroundComplaints about memory are common in older people but their relationship with underlying brain changes is controversial.AimsTo investigate the relationship between subjective memory impairment and previous or subsequent changes in white matter lesions and brain volumes.MethodIn a community cohort study of 1336 people without dementia, 4-year changes in brain magnetic resonance imaging measures were investigated as correlates of subjective memory impairment at baseline and follow-up.ResultsSubjective memory impairment at baseline was associated with subsequent change in hippocampal volume and at follow-up impairment was associated with previous change in hippocampal, cerebrospinal fluid and grey matter volume and with subcortical white matter lesion increases. All associations with volume changes were U-shaped with significant quadratic terms – associations between least decline and subjective memory impairment were potentially explained by lower baseline hippocampal volumes in the groups with least volume change. Associations between hippocampal volume change and subjective memory impairment at follow-up were independent of cognitive decline and depressive symptoms, they were stronger in participants with the apolipoprotein E (APOE) ∊4 allele and in those without baseline subjective memory impairment.ConclusionsComplaints of poor memory by older people, particularly when new, may be a realistic subjective appraisal of recent brain changes independent of observed cognitive decline.


2015 ◽  
Vol 40 (3-4) ◽  
pp. 158-165 ◽  
Author(s):  
Yun Jeong Hong ◽  
Bora Yoon ◽  
Yong S. Shim ◽  
Seon-Ok Kim ◽  
Hwa Jung Kim ◽  
...  

Background/Aims: The aims of this study were to determine baseline factors related to the progression of subjective memory impairment (SMI) in elderly subjects and to develop a new modeling scale to predict progression. Methods: Elderly subjects with SMI were recruited from the nationwide Clinical Research Centers for Dementia of South Korea (CREDOS) multicenter cohort and divided into two groups: (1) progressed to mild cognitive impairment or Alzheimer's disease or (2) stable without progression. Baseline clinical characteristics were compared between the groups, and the most relevant predictors of progression were assessed. A new modeling scale combining the predictors was developed. Results: In total, 129 subjects with SMI were analyzed. The follow-up duration was 0.5-4.7 years, and the median time to event was 3.64 years. The progressing group (n = 29) differed from the stable group (n = 100) in terms of baseline age, apolipoprotein E4 (APOE4) status, and some cognitive domains. Older age, a lower Mini-Mental State Examination recall score, APOE4 carrier, and a lower verbal delayed recall score were the most relevant predictors of progression, and a new modeling scale with these 4 predictors provided a better explanation of progression. Conclusion: SMI subjects with a higher risk of progression can be identified using a new modeling scale and might need further evaluations and more frequent follow-up.


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