Altered mismatch response precedes gray matter atrophy in subjective cognitive decline

2021 ◽  
Author(s):  
Chia‐Hsiung Cheng ◽  
Chiung‐Chih Chang ◽  
Yi‐Ping Chao ◽  
Hsinjie Lu ◽  
Shih‐Wei Peng ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Gray Matter ◽  
Subjective Cognitive Decline ◽  
Gray Matter Atrophy

scholarly journals Subjective cognitive decline is associated with longitudinal cerebral blood flow reductions and gray matter atrophy in older adults

2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Hailey A. Kresge ◽  
Dandan Liu ◽  
Omair A. Khan ◽  
Ujwala Pamidimukkala ◽  
Francis E. Cambronero ◽  
...  
Keyword(s):  
Older Adults ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Subjective Cognitive Decline ◽  
Gray Matter Atrophy

Associations Between the Subjective Cognitive Decline-Questionnaire’s Scores, Gray Matter Volume, and Amyloid-β Levels

2019 ◽  
Vol 72 (4) ◽  
pp. 1287-1302
Author(s):  
Natalia Valech ◽  
Gonzalo Sánchez-Benavides ◽  
Adrià Tort-Merino ◽  
Nina Coll-Padrós ◽  
Jaume Olives ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Amyloid Β ◽  
Subjective Cognitive Decline ◽  
Matter Volume

scholarly journals Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer’s Disease

2021 ◽  
Vol 13 ◽  
Author(s):  
Zhenrong Fu ◽  
Mingyan Zhao ◽  
Yirong He ◽  
Xuetong Wang ◽  
Jiadong Lu ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Amnestic Mild Cognitive Impairment ◽  
Subjective Cognitive Decline ◽  
Structural Covariance ◽  
Cholinergic Basal Forebrain

Alzheimer’s disease (AD) has a long preclinical stage that can last for decades prior to progressing toward amnestic mild cognitive impairment (aMCI) and/or dementia. Subjective cognitive decline (SCD) is characterized by self-experienced memory decline without any evidence of objective cognitive decline and is regarded as the later stage of preclinical AD. It has been reported that the changes in structural covariance patterns are affected by AD pathology in the patients with AD and aMCI within the specific large-scale brain networks. However, the changes in structural covariance patterns including normal control (NC), SCD, aMCI, and AD are still poorly understood. In this study, we recruited 42 NCs, 35 individuals with SCD, 43 patients with aMCI, and 41 patients with AD. Gray matter (GM) volumes were extracted from 10 readily identifiable regions of interest involved in high-order cognitive function and AD-related dysfunctional structures. The volume values were used to predict the regional densities in the whole brain by using voxel-based statistical and multiple linear regression models. Decreased structural covariance and weakened connectivity strength were observed in individuals with SCD compared with NCs. Structural covariance networks (SCNs) seeding from the default mode network (DMN), salience network, subfields of the hippocampus, and cholinergic basal forebrain showed increased structural covariance at the early stage of AD (referring to aMCI) and decreased structural covariance at the dementia stage (referring to AD). Moreover, the SCN seeding from the executive control network (ECN) showed a linearly increased extent of the structural covariance during the early and dementia stages. The results suggest that changes in structural covariance patterns as the order of NC-SCD-aMCI-AD are divergent and dynamic, and support the structural disconnection hypothesis in individuals with SCD.

scholarly journals The Interplay Between Gray Matter and White Matter Neurodegeneration in Subjective Cognitive Decline

2020 ◽  
Author(s):  
Nira Cedres ◽  
Patricia Diaz-Galvan ◽  
Lucio Diaz-Flores ◽  
J-Sebastian Muehlboeck ◽  
Yaiza Molina ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Mean Diffusivity ◽  
Occipital Lobe ◽  
Hippocampal Volume ◽  
Subjective Cognitive Decline ◽  
Community Based ◽  
Cortical Thinning ◽  
Behavioral Marker

Abstract AIMS: To investigate the interplay between gray matter (GM) and white matter (WM) neurodegeneration in subjective cognitive decline (SCD), including thickness across the whole cortical mantle, hippocampal volume, and integrity across the whole WM. METHODS: We included 225 cognitively unimpaired individuals from a community-based cohort, of whom 123 endorsed one or more subjective cognitive complaints. GM neurodegeneration was assessed through measures of cortical thickness across the whole mantle and hippocampal volume. WM neurodegeneration was assessed through measures of mean diffusivity (MD) across the whole WM skeleton. Mediation analysis and multiple linear regression were conducted to investigate the interplay between the measures of GM and WM neurodegeneration.RESULTS: A higher number of complaints was associated with reduced hippocampal volume, cortical thinning in several frontal and temporal areas and the insula, and higher MD across the WM skeleton, with a tendency to spare the occipital lobe. SCD-related cortical thinning and increased MD were associated with each other and jointly contributed to the complaints, but the contribution of cortical thinning to SCD was stronger.CONCLUSIONS: Neurodegeneration processes affecting the GM and WM seem to be associated with each other in SCD and include brain areas other than those typically targeted by Alzheimer’s disease (AD). Our findings suggest that SCD may be a sensitive behavioral marker of heterogeneous brain pathologies in individuals recruited from the community.

Minor hallucinations reflect early gray matter loss and predict subjective cognitive decline in Parkinson's disease

2020 ◽  
Author(s):  
H. Bejr‐kasem ◽  
F. Sampedro ◽  
J. Marín‐Lahoz ◽  
S. Martínez‐Horta ◽  
J. Pagonabarraga ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Subjective Cognitive Decline ◽  
Gray Matter Loss

scholarly journals Associations Between Cerebral Morphology and Objective Memory Performance in Patients With Subjective Cognitive Decline

2020 ◽  
Author(s):  
Qinjie Li ◽  
Anran Ren ◽  
Liang Cui ◽  
Xiaokang Sun ◽  
Yuan Zhong ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Cortical Thickness ◽  
Gray Matter ◽  
Memory Performance ◽  
Verbal Learning ◽  
Cognitive Status ◽  
Learning Performance ◽  
Subjective Cognitive Decline ◽  
Immediate Recall ◽  
Normal Controls

Abstract Background: Previous studies reported subjective cognitive decline (SCD) linked to underlying the biomarker of early AD pathology. There is a lack of studies on whether structural brain changes and how cerebral morphology in association with verbal and visuospatial episodic memory performance.Method: We combined VBM and SBM analysis for evaluating structural alterations in gray matter atrophy and cortical thickness among individuals with SCD, MCI, AD and normal controls and investigated the associations between cerebral morphology and AVLT-H, BVMT-R performance in the whole samples and SCD, respectively. Results: No significant regional gray matter volume atrophy and cortical thickness differences were found between SCD and normal controls. We found that immediate recall in verbal learning performance was significantly correlated with the loss of bilateral hippocampus volume in SCD group, furthermore, attention capacity (SDMT) was positively correlated with bilateral hippocampus atrophy and AVLT-IR in individuals with pre-MCI cognitive status.Conclusions: Our results found hippocampal atrophy links much closer with verbal memory than visuospatial memory and immediate recall in verbal learning test was probably the primary deficit and maybe influenced by the attention capacity.

Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis

Neurology ◽  
2019 ◽  
Vol 93 (14) ◽  
pp. e1348-e1359 ◽  
Author(s):  
Anand J.C. Eijlers ◽  
Iris Dekker ◽  
Martijn D. Steenwijk ◽  
Kim A. Meijer ◽  
Hanneke E. Hulst ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Structural Mri ◽  
Cortical Atrophy ◽  
Lesion Volume ◽  
Volume Increase ◽  
Atrophy Rate ◽  
Gray Matter Atrophy ◽  
Deep Gray Matter

ObjectiveTo determine which pathologic process could be responsible for the acceleration of cognitive decline during the course of multiple sclerosis (MS), using longitudinal structural MRI, which was related to cognitive decline in relapsing-remitting MS (RRMS) and progressive MS (PMS).MethodsA prospective cohort of 230 patients with MS (179 RRMS and 51 PMS) and 59 healthy controls was evaluated twice with 5-year (mean 4.9, SD 0.94) interval during which 22 patients with RRMS converted to PMS. Annual rates of cortical and deep gray matter atrophy as well as lesion volume increase were computed on longitudinal (3T) MRI data and correlated to the annual rate of cognitive decline as measured using an extensive cognitive evaluation at both time points.ResultsThe deep gray matter atrophy rate did not differ between PMS and RRMS (−0.82%/year vs −0.71%/year, p = 0.11), while faster cortical atrophy was observed in PMS (−0.87%/year vs −0.48%/year, p < 0.01). Similarly, faster cognitive decline was observed in PMS compared to RRMS (p < 0.01). Annual cognitive decline was related to the rate of annual lesion volume increase in stable RRMS (r = −0.17, p = 0.03) to the rate of annual deep gray matter atrophy in converting RRMS (r = 0.50, p = 0.02) and annual cortical atrophy in PMS (r = 0.35, p = 0.01).ConclusionsThese results indicate that cortical atrophy and cognitive decline accelerate together during the course of MS. Substrates of cognitive decline shifted from worsening lesional pathology in stable RRMS to deep gray matter atrophy in converting RRMS and to accelerated cortical atrophy in PMS only.

scholarly journals Multi-Scale Glycemic Variability: A Link to Gray Matter Atrophy and Cognitive Decline in Type 2 Diabetes

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e86284 ◽  
Author(s):  
Xingran Cui ◽  
Amir Abduljalil ◽  
Brad D. Manor ◽  
Chung-Kang Peng ◽  
Vera Novak
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Decline ◽  
Gray Matter ◽  
Glycemic Variability ◽  
Multi Scale ◽  
Gray Matter Atrophy
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