scholarly journals Bridging the Gap Between Morphometric Similarity Mapping and Gene Transcription in Alzheimer’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Yang Zhang ◽  
Min Ma ◽  
Zhonghua Xie ◽  
Heng Wu ◽  
Nan Zhang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Brain Connectivity ◽  
Memory Function ◽  
Structural Connectivity ◽  
Occipital Cortex ◽  
Healthy Elderly ◽  
Significant Term ◽  
Cortical Regions ◽  
With Memory

Disruptions in brain connectivity have been widely reported in Alzheimer’s disease (AD). Morphometric similarity (MS) mapping provides a new way of estimating structural connectivity by interregional correlation of T1WI- and DTI-derived parameters within individual brains. Here, we aimed to identify AD-related MS changing patterns and genes related to the changes and further explored the molecular and cellular mechanism underlying MS changes in AD. Both 3D-T1WI and DTI data of 106 AD patients and 106 well-matched healthy elderly individuals from the ADNI database were included in our study. Cortical regions with significantly decreased MS were found in the temporal and parietal cortex, increased MS was found in the frontal cortex and variant changes were found in the occipital cortex in AD patients. Mean MS in regions with significantly changed MS was positively or negatively associated with memory function. Negative MS-related genes were significantly downregulated in AD, specifically enriched in neurons, and participated in biological processes, with the most significant term being synaptic transmission. This study revealed AD-related cortical MS changes associated with memory function. Linking gene expression to cortical MS changes may provide a possible molecular and cellular substrate for MS abnormality and cognitive decline in AD.

Bridging the gap between Morphometric Similarity Mapping and gene transcription in Alzheimer's disease

2021 ◽  
Author(s):  
Yang Zhang ◽  
Min Ma ◽  
Zhonghua Xie ◽  
Heng Wu ◽  
Nan Zhang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Brain Connectivity ◽  
Memory Function ◽  
Structural Connectivity ◽  
Occipital Cortex ◽  
Significant Term ◽  
Changing Patterns ◽  
Cortical Regions ◽  
With Memory

Abstract Disruptions of brain connectivity have been widely reported in Alzheimer's disease (AD). Morphometric similarity (MS) mapping provides a new way of estimating structural connectivity by inter-regional correlation of T1WI and DTI derived parameters within individual brains. Here, we aimed to identify AD-related MS changing patterns and genes related to the changes and further explore the molecular and cellular mechanism underlying MS changes in AD. Both 3D-T1WI and DTI data of 106 AD patients and well-matched 106 healthy elders from the ADNI database were included in our study. Cortical regions with significantly decreased MS were found in the temporal and parietal cortex, increased MS in the frontal cortex and variant changes in the occipital cortex in AD patients. Mean MS in regions with significantly changed MS was positively or negatively associated with memory function. The negative MS-related genes were significantly down-regulated in AD, specifically enriched in neurons, and participated in biological process with the most significant term in synaptic transmission. This study revealed AD-related cortical MS changes associated with memory function. Linking gene expression to cortical MS changes may provide a possible molecular and cellular substrate for MS abnormality and cognition decline in AD.

P3-384: ASSOCIATION OF TAU AND AMYLOID-β PROTEINS TO STRUCTURAL CONNECTIVITY CHANGES IN COGNITIVELY HEALTHY ELDERLY AND EARLY ALZHEIMER'S DISEASE

2006 ◽  
Vol 14 (7S_Part_23) ◽  
pp. P1241-P1242
Author(s):  
Yoko Shigemoto ◽  
Daichi Sone ◽  
Masayo Ogawa ◽  
Harumasa Takano ◽  
Noriko Sato ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Connectivity ◽  
Amyloid Β ◽  
Healthy Elderly ◽  
Early Alzheimer’S Disease

scholarly journals Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Samar S. M. Elsheikh ◽  
Emile R. Chimusa ◽  
Nicola J. Mulder ◽  
Alessandro Crimi ◽  
Keyword(s):  
Gene Expression ◽  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Genetic Risk ◽  
Betweenness Centrality ◽  
Brain Connectivity ◽  
Structural Connectivity ◽  
Genetic Risk Factors ◽  
Functional Connections

Networks are present in many aspects of our lives, and networks in neuroscience have recently gained much attention leading to novel representations of brain connectivity. The integration of neuroimaging characteristics and genetics data allows a better understanding of the effects of the gene expression on brain structural and functional connections. The current work uses whole-brain tractography in a longitudinal setting, and by measuring the brain structural connectivity changes studies the neurodegeneration of Alzheimer's disease. This is accomplished by examining the effect of targeted genetic risk factors on the most common local and global brain connectivity measures. Furthermore, we examined the extent to which Clinical Dementia Rating relates to brain connections longitudinally, as well as to gene expression. For instance, here we show that the expression of PLAU gene increases the change over time in betweenness centrality related to the fusiform gyrus. We also show that the betweenness centrality metric impact dementia-related changes in distinct brain regions. Our findings provide insights into the complex longitudinal interplay between genetics and brain characteristics and highlight the role of Alzheimer's genetic risk factors in the estimation of regional brain connectivity alterations.

Impact of Comorbid Depression on Serial Position Effects in Alzheimer’s Disease

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 161-169 ◽  
Author(s):  
Nienke A. Hofrichter ◽  
Sandra Dick ◽  
Thomas G. Riemer ◽  
Carsten Schleussner ◽  
Monique Goerke ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Serial Position ◽  
Episodic Memory ◽  
Memory Performance ◽  
Memory Function ◽  
Word List ◽  
Position Effects ◽  
Serial Position Effects ◽  
List Memory

Hippocampal dysfunction and deficits in episodic memory have been reported for both Alzheimer’s disease (AD) and major depressive disorder (MDD). Primacy performance has been associated with hippocampus-dependent episodic memory, while recency may reflect working memory performance. In this study, serial position profiles were examined in a total of 73 patients with MDD, AD, both AD and MDD, and healthy controls (HC) by means of CERAD-NP word list memory. Primacy performance was most impaired in AD with comorbid MDD, followed by AD, MDD, and HC. Recency performance, on the other hand, was comparable across groups. These findings indicate that primacy in AD is impaired in the presence of comorbid MDD, suggesting additive performance decrements in this specific episodic memory function.

Many caregivers of persons with memory loss or Alzheimer's disease are unaware of the abilities of their persons with AD to recall their drugs and medical histories

Dementia ◽  
2018 ◽  
pp. 147130121882096
Author(s):  
Thomas A Ala ◽  
GaToya Simpson ◽  
Marshall T Holland ◽  
Vajeeha Tabassum ◽  
Maithili Deshpande ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Memory Loss ◽  
Medical Histories ◽  
With Memory

Reproducibility of Brain Volume Changes in Longitudinal Voxel-Based Morphometry Between Non-Accelerated and Accelerated Magnetic Resonance Imaging

2021 ◽  
pp. 1-10
Author(s):  
Hidemasa Takao ◽  
Shiori Amemiya ◽  
Osamu Abe ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Elderly Subjects ◽  
Voxel Based Morphometry ◽  
Volume Changes ◽  
Matter Volume ◽  
Healthy Elderly

Background: Scan acceleration techniques, such as parallel imaging, can reduce scan times, but reliability is essential to implement these techniques in neuroimaging. Objective: To evaluate the reproducibility of the longitudinal changes in brain morphology determined by longitudinal voxel-based morphometry (VBM) between non-accelerated and accelerated magnetic resonance images (MRI) in normal aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2 database, comprising subjects who underwent non-accelerated and accelerated structural T1-weighted MRI at screening and at a 2-year follow-up on 3.0 T Philips scanners, we examined the reproducibility of longitudinal gray matter volume changes determined by longitudinal VBM processing between non-accelerated and accelerated imaging in 50 healthy elderly subjects, 54 MCI patients, and eight AD patients. Results: The intraclass correlation coefficient (ICC) maps differed among the three groups. The mean ICC was 0.72 overall (healthy elderly, 0.63; MCI, 0.75; AD, 0.63), and the ICC was good to excellent (0.6–1.0) for 81.4%of voxels (healthy elderly, 64.8%; MCI, 85.0%; AD, 65.0%). The differences in image quality (head motion) were not significant (Kruskal–Wallis test, p = 0.18) and the within-subject standard deviations of longitudinal gray matter volume changes were similar among the groups. Conclusion: The results indicate that the reproducibility of longitudinal gray matter volume changes determined by VBM between non-accelerated and accelerated MRI is good to excellent for many regions but may vary between diseases and regions.

scholarly journals Structural connectivity networks in Alzheimer’s disease and Lewy body disease

2021 ◽  
Author(s):  
Kyoungwon Baik ◽  
Jin‐Ju Yang ◽  
Jin Ho Jung ◽  
Yang Hyun Lee ◽  
Seok Jong Chung ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Lewy Body ◽  
Structural Connectivity ◽  
Lewy Body Disease
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