scholarly journals Amnesia in Frontotemporal Dementia with Amyotrophic Lateral Sclerosis, Masquerading Alzheimer’s Disease

2011 ◽  
Vol 3 (3) ◽  
pp. 242-247 ◽  
Author(s):  
A. Yamanami-Irioka ◽  
T. Uchihara ◽  
T. Endo ◽  
T. Irioka ◽  
M. Watanabe ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Frontotemporal Dementia ◽  
Lateral Sclerosis

Inhibition impairment in frontotemporal dementia, amyotrophic lateral sclerosis, and Alzheimer’s disease: clinical assessment and metabolic correlates

2018 ◽  
Vol 13 (3) ◽  
pp. 651-659 ◽  
Author(s):  
Jordi A. Matías-Guiu ◽  
María Nieves Cabrera-Martín ◽  
María Valles-Salgado ◽  
Teresa Rognoni ◽  
Lucía Galán ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Frontotemporal Dementia ◽  
Clinical Assessment ◽  
Lateral Sclerosis

scholarly journals The Association betweenC9orf72Repeats and Risk of Alzheimer’s Disease and Amyotrophic Lateral Sclerosis: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Li Shu ◽  
Qiying Sun ◽  
Yuan Zhang ◽  
Qian Xu ◽  
Jifeng Guo ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Frontotemporal Dementia ◽  
Meta Analysis ◽  
Sporadic Als ◽  
Repeat Expansions ◽  
Positive Correlations ◽  
The Relationship ◽  
Lateral Sclerosis

C9orf72is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) in Caucasian populations. However, the relationship betweenC9orf72repeats and Alzheimer’s disease (AD) was not clear. Additionally, there were few articles assessingC9orf72in other ethnicities with ALS. In this meta-analysis, we aimed to investigate the relationship betweenC9orf72repeat expansions (≥30 repeats) and intermediate repeat copies (20–29 repeats) and AD or ALS. The results suggested positive correlations betweenC9orf72repeat expansions and the risk of Alzheimer’s disease (OR = 6.36, 95% CI = 3.13–12.92, andp<0.00001), while intermediate repeat copies ofC9orf72gene were not associated with the risk of the disease.C9orf72repeat expansions were positively correlated with the risk of familial and sporadic ALS (OR = 293.25, 95% CI = 148.17–580.38, andp<0.00001; OR = 35.57, 95% CI = 19.61–64.51, andp<0.00001). There was a positive correlation between the gene variations and ALS risk among Caucasians and Asians (OR = 57.56, 95% CI = 36.73–90.22, andp<0.00001; OR = 6.35, 95% CI = 1.39–29.02, andp=0.02).

scholarly journals TDP-43 and Tau Oligomers in Alzheimer's Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia

2020 ◽  
Vol 146 ◽  
pp. 105130
Author(s):  
Mauro Montalbano ◽  
Salome McAllen ◽  
Filippa Lo Cascio ◽  
Urmi Sengupta ◽  
Stephanie Garcia ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Frontotemporal Dementia ◽  
Tau Oligomers ◽  
Lateral Sclerosis

scholarly journals Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases

2021 ◽  
Author(s):  
Anita Monteverdi ◽  
Fulvia Palesi ◽  
Alfredo Costa ◽  
Paolo Vitali ◽  
Anna Pichiecchio ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Functional Connectivity ◽  
Neurodegenerative Diseases ◽  
Frontotemporal Dementia ◽  
Neural Mass Model ◽  
Brain Dynamics ◽  
The Impact ◽  
Lateral Sclerosis

Brain pathologies are based on microscopic changes in neurons and synapses that reverberate into large scale networks altering brain dynamics and functional states. An important yet unresolved issue concerns the impact of patients excitation/inhibition profiles on neurodegenerative diseases including Alzheimer's disease, Frontotemporal Dementia and Amyotrophic Lateral Sclerosis. In this work we used a simulation platform, The Virtual Brain, to simulate brain dynamics in healthy controls and in Alzheimer's disease, Frontotemporal Dementia and Amyotrophic Lateral Sclerosis patients. The brain connectome and functional connectivity were extracted from 3T-MRI scans and The Virtual Brain nodes were represented by a Wong-Wang neural mass model endowing an explicit representation of the excitatory/inhibitory balance. The integration of cerebro-cerebellar loops improved the correlation between experimental and simulated functional connectivity, and hence The Virtual Brain predictive power, in all pathological conditions. The Virtual Brain biophysical parameters differed between clinical phenotypes, predicting higher global coupling and inhibition in Alzheimer's disease and stronger NMDA (N-methyl-D-aspartate) receptor-dependent excitation in Amyotrophic Lateral Sclerosis. These physio-pathological parameters allowed an advanced analysis of patients' state. In backward regressions, The Virtual Brain parameters significantly contributed to explain the variation of neuropsychological scores and, in discriminant analysis, the combination of The Virtual Brain parameters and neuropsychological scores significantly improved discriminative power between clinical conditions. Eventually, cluster analysis provided a unique description of the excitatory/inhibitory balance in individual patients. In aggregate, The Virtual Brain simulations reveal differences in the excitatory/inhibitory balance of individual patients that, combined with cognitive assessment, can promote the personalized diagnosis and therapy of neurodegenerative diseases.

scholarly journals Novel Insights on Systemic and Brain Aging, Stroke, Amyotrophic Lateral Sclerosis, and Alzheimer’s Disease

2019 ◽  
Vol 10 (2) ◽  
pp. 470 ◽  
Author(s):  
Ashok K. Shetty ◽  
Raghavendra Upadhya ◽  
Leelavathi N. Madhu ◽  
Maheedhar Kodali
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyotrophic Lateral Sclerosis ◽  
Brain Aging ◽  
Lateral Sclerosis
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