P2-157: Effects of APOE-ε4 on regional cerebral amyloid deposition and gray matter atrophy in mild cognitive impairment with PiB-PET-confirmed amyloid pathology: Results from J-ADNI

2013 ◽  
Vol 9 ◽  
pp. P405-P405
Author(s):  
Kazunari Ishii ◽  
Ryuichi Takahashi ◽  
Hiroshi Matsuda ◽  
Michio Senda ◽  
Kengo Ito ◽  
...  
2021 ◽  
Vol 13 ◽  
Author(s):  
Lars Michels ◽  
Florian Riese ◽  
Rafael Meyer ◽  
Andrea M. Kälin ◽  
Sandra E. Leh ◽  
...  

Cognitive impairment indicates disturbed brain physiology which can be due to various mechanisms including Alzheimer's pathology. Combined functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) recordings (EEG-fMRI) can assess the interplay between complementary measures of brain activity and EEG changes to be localized to specific brain regions. We used a two-step approach, where we first examined changes related to a syndrome of mild cognitive impairment irrespective of pathology and then studied the specific impact of amyloid pathology. After detailed clinical and neuropsychological characterization as well as a positron emission tomography (PET) scans with the tracer 11-[C]-Pittsburgh Compound B to estimate cerebral amyloid deposition, 14 subjects with mild cognitive impairment (MCI) (mean age 75.6 SD: 8.9) according to standard criteria and 21 cognitively healthy controls (HCS) (mean age 71.8 SD: 4.2) were assessed with EEG-fMRI. Thalamo-cortical alpha-fMRI signal coupling was only observed in HCS. Additional EEG-fMRI signal coupling differences between HCS and MCI were observed in parts of the default mode network, salience network, fronto-parietal network, and thalamus. Individuals with significant cerebral amyloid deposition (amyloid-positive MCI and HCS combined compared to amyloid-negative HCS) displayed abnormal EEG-fMRI signal coupling in visual, fronto-parietal regions but also in the parahippocampus, brain stem, and cerebellum. This finding was paralleled by stronger absolute fMRI signal in the parahippocampus and weaker absolute fMRI signal in the inferior frontal gyrus in amyloid-positive subjects. We conclude that the thalamocortical coupling in the alpha band in HCS more closely reflects previous findings observed in younger adults, while in MCI there is a clearly aberrant coupling in several networks dominated by an anticorrelation in the posterior cingulate cortex. While these findings may broadly indicate physiological changes in MCI, amyloid pathology was specifically associated with abnormal fMRI signal responses and disrupted coupling between brain oscillations and fMRI signal responses, which especially involve core regions of memory: the hippocampus, para-hippocampus, and lateral prefrontal cortex.


2013 ◽  
Vol 33 (4) ◽  
pp. 1009-1019 ◽  
Author(s):  
Joaquín Goñi ◽  
Sebastián Cervantes ◽  
Gonzalo Arrondo ◽  
Isabel Lamet ◽  
Pau Pastor ◽  
...  

2012 ◽  
Vol 315 (1-2) ◽  
pp. 26-32 ◽  
Author(s):  
Haobo Zhang ◽  
Perminder S. Sachdev ◽  
Wei Wen ◽  
Nicole A. Kochan ◽  
John D. Crawford ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mikko Kärkkäinen ◽  
Mithilesh Prakash ◽  
Marzieh Zare ◽  
Jussi Tohka ◽  
for the Alzheimer's Disease Neuroimaging Initiative

A hierarchical clustering algorithm was applied to magnetic resonance images (MRI) of a cohort of 751 subjects having a mild cognitive impairment (MCI), 282 subjects having received Alzheimer’s disease (AD) diagnosis, and 428 normal controls (NC). MRIs were preprocessed to gray matter density maps and registered to a stereotactic space. By first rendering the gray matter density maps comparable by regressing out age, gender, and years of education, and then performing the hierarchical clustering, we found clusters displaying structural features of typical AD, cortically-driven atypical AD, limbic-predominant AD, and early-onset AD (EOAD). Among these clusters, EOAD subjects displayed marked cortical gray matter atrophy and atrophy of the precuneus. Furthermore, EOAD subjects had the highest progression rates as measured with ADAS slopes during the longitudinal follow-up of 36 months. Striking heterogeneities in brain atrophy patterns were observed with MCI subjects. We found clusters of stable MCI, clusters of diffuse brain atrophy with fast progression, and MCI subjects displaying similar atrophy patterns as the typical or atypical AD subjects. Bidirectional differences in structural phenotypes were found with MCI subjects involving the anterior cerebellum and the frontal cortex. The diversity of the MCI subjects suggests that the structural phenotypes of MCI subjects would deserve a more detailed investigation with a significantly larger cohort. Our results demonstrate that the hierarchical agglomerative clustering method is an efficient tool in dividing a cohort of subjects with gray matter atrophy into coherent clusters manifesting different structural phenotypes.


2013 ◽  
Vol 36 (3-4) ◽  
pp. 197-210 ◽  
Author(s):  
Lejla Koric ◽  
Jean-Philippe Ranjeva ◽  
Olivier Felician ◽  
Maxime Guye ◽  
Francesca de Anna ◽  
...  

2012 ◽  
Vol 8 (4S_Part_14) ◽  
pp. P536-P536
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Monica Camacho ◽  
Linda Chao ◽  
Tom Fletcher ◽  
...  

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