More Atrophy of Deep Gray Matter Structures in Frontotemporal Dementia Compared to Alzheimer's Disease

2015 ◽  
Vol 44 (2) ◽  
pp. 635-647 ◽  
Author(s):  
Christiane Möller ◽  
Nikki Dieleman ◽  
Wiesje M. van der Flier ◽  
Adriaan Versteeg ◽  
Yolande Pijnenburg ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Gray Matter ◽  
Deep Gray Matter

scholarly journals P1-223: MORE ATROPHY OF DEEP GRAY MATTER STRUCTURES IN BEHAVIORAL VARIANT FRONTOTEMPORAL DEMENTIA COMPARED TO ALZHEIMER'S DISEASE

2014 ◽  
Vol 10 ◽  
pp. P385-P386
Author(s):  
Christiane Möller ◽  
Nikki Dieleman ◽  
Wiesje M. Van der Flier ◽  
Adriaan Versteeg ◽  
Yolande Pijnenburg ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Gray Matter ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Deep Gray Matter

IC-P-056: MORE ATROPHY OF DEEP GRAY MATTER STRUCTURES IN BEHAVIORAL VARIANT FRONTOTEMPORAL DEMENTIA COMPARED TO ALZHEIMER'S DISEASE

2014 ◽  
Vol 10 ◽  
pp. P31-P32
Author(s):  
Christiane Möller ◽  
Nikki Dieleman ◽  
Wiesje M. van der Flier ◽  
Adriaan Versteeg ◽  
Yolande Pijnenburg ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Gray Matter ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Deep Gray Matter

Value of analyzing deep gray matter and occipital lobe perfusion to differentiate dementia with Lewy bodies from Alzheimer’s disease

2008 ◽  
Vol 22 (10) ◽  
pp. 911-916 ◽  
Author(s):  
Soichiro Shimizu ◽  
Haruo Hanyu ◽  
Kentaro Hirao ◽  
Tomohiko Sato ◽  
Toshihiko Iwamoto ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gray Matter ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies ◽  
Occipital Lobe ◽  
Deep Gray Matter

scholarly journals Odor Identification and Regional Gray Matter Atrophy in Patients with Alzheimer’s Disease, Parkinson’s Disease, and the Healthy Elderly: A Cross-Sectional Structural MRI Study

2021 ◽  
Vol 11 (10) ◽  
pp. 1296
Author(s):  
Simonas Jesmanas ◽  
Rymantė Gleiznienė ◽  
Mindaugas Baranauskas ◽  
Vaidas Matijošaitis ◽  
Daiva Rastenytė
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Gray Matter ◽  
Odor Identification ◽  
Identification Performance ◽  
Healthy Elderly ◽  
Gray Matter Atrophy ◽  
Deep Gray Matter

Multiple associations between impaired olfactory performance and regional cortical and deep gray matter atrophy have been reported in separate studies of patients with Alzheimer’s disease (AD), Parkinson’s disease (PD), and of the healthy elderly. We aimed to evaluate such possible associations among these populations in a unified manner. Twenty AD, twenty PD patients’ and twenty healthy age- and sex-matched controls’ odor identification performance was assessed with the Lithuanian adaptation of the Sniffin’ Sticks 12 odor identification test, followed by morphometric gray matter analysis by MRI using FreeSurfer. AD patients had significantly lower cognitive performance than both PD patients and the healthy elderly, as evaluated with the Mini-Mental State Examination (MMSE). Odor identification performance was significantly worse in AD and PD patients compared with the healthy elderly; AD patients performed slightly worse than PD patients, but the difference was not statistically significant. Among patients with AD, worse odor identification performance was initially correlated with atrophy of multiple cortical and deep gray matter regions known to be involved in olfactory processing, however, only two measures—decreased thicknesses of the right medial and left lateral orbitofrontal cortices—remained significant after adjustment for possible confounders (age, MMSE score, and global cortical thickness). Among patients with PD and the healthy elderly we found no similar statistically significant correlations. Our findings support the key role of the orbitofrontal cortex in odor identification among patients with AD, and suggest that correlations between impaired odor identification performance and regional gray matter atrophy may be relatively more pronounced in AD rather than in PD.

scholarly journals Altered BOLD signal variation in Alzheimer’s disease and frontotemporal dementia

2018 ◽  
Author(s):  
Timo Tuovinen ◽  
Janne Kananen ◽  
Riikka Rytty ◽  
Virpi Moilanen ◽  
Ahmed Abou Elseoud ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurodegenerative Diseases ◽  
Frontotemporal Dementia ◽  
Gray Matter ◽  
Blood Oxygen Level Dependent ◽  
Control Group ◽  
Periventricular White Matter ◽  
Bold Signal ◽  
Gray Matter Atrophy

AbstractRecently discovered glymphatic brain clearance mechanisms utilizing physiological pulsations have been shown to fail at removing waste materials such as amyloid and tau plaques in neurodegenerative diseases. Since cardiovascular pulsations are a main driving force of the clearance, this research investigates if commonly available blood oxygen level-dependent (BOLD) signals at 1.5 and 3 T could detect abnormal physiological pulsations in neurodegenerative diseases. Coefficient of variation in BOLD signal (CVBOLD) was used to estimate contribution of physiological signals in Alzheimer’s disease (AD) and behavioural variant frontotemporal dementia (bvFTD). 17 AD patients and 18 bvFTD patients were compared to 24 control subjects imaged with a 1.5 T setup from a local institute. AD results were further verified with 3 T data from the Alzheimer’s disease neuroimaging initiative (ADNI) repository with 30 AD patients and 40 matched controls. Effect of motion and gray matter atrophy was evaluated and receiver operating characteristic (ROC) analyses was performed.The CVBOLD was higher in both AD and bvFTD groups compared to controls (p < 0.0005). The difference was not explained by head motion or gray matter atrophy. In AD patients, the CVBOLD alterations were localized in overlapping structures in both 1.5 T and 3 T data. Localization of the CVBOLD alterations was different in AD than in bvFTD. Areas where CVBOLD is higher in patient groups than in control group involved periventricular white matter, basal ganglia and multiple cortical structures. Notably, a robust difference between AD and bvFTD groups was found in the CVBOLD of frontal poles. In the analysis of diagnostic accuracy, the CVBOLD metrics area under the ROC for detecting disease ranged 0.85 – 0.96.ConclusionsThe analysis of brain physiological pulsations measured using CVBOLD reveals disease-specific alterations in both AD and bvFTD.

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