Spatio-temporal and kinematic gait analysis in patients with Frontotemporal dementia and Alzheimer’s disease through 3D motion capture

2017 ◽  
Vol 52 ◽  
pp. 312-317 ◽  
Author(s):  
Rosaria Rucco ◽  
Valeria Agosti ◽  
Francesca Jacini ◽  
Pierpaolo Sorrentino ◽  
Pasquale Varriale ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gait Analysis ◽  
Frontotemporal Dementia ◽  
Motion Capture ◽  
3D Motion ◽  
Spatio Temporal ◽  
3D Motion Capture ◽  
Kinematic Gait Analysis

Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis

2014 ◽  
Vol 38 (5) ◽  
pp. 274-280 ◽  
Author(s):  
Alexandra Pfister ◽  
Alexandre M. West ◽  
Shaw Bronner ◽  
Jack Adam Noah
Keyword(s):  
Gait Analysis ◽  
Motion Capture ◽  
Microsoft Kinect ◽  
3D Motion ◽  
3D Motion Capture

P30: An open database of synchronized, high precision 3D motion capture data for human gait analysis research and development

2017 ◽  
Vol 57 ◽  
pp. 241-242 ◽  
Author(s):  
Elise Klæbo Vonstad ◽  
Else Lervik ◽  
Tomas Holt ◽  
Mildrid Ljosland ◽  
Grethe Sandstrak ◽  
...  
Keyword(s):  
Research And Development ◽  
Gait Analysis ◽  
Motion Capture ◽  
High Precision ◽  
Human Gait ◽  
Motion Capture Data ◽  
3D Motion ◽  
Human Gait Analysis ◽  
3D Motion Capture

Distinct social-behavioral changes in frontotemporal dementia and early onset Alzheimer's disease

2014 ◽  
Author(s):  
Joseph P. Barsuglia ◽  
Michelle J. Mather ◽  
Hemali V. Panchal ◽  
Aditi Joshi ◽  
Elvira Jimenez ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Early Onset ◽  
Behavioral Changes ◽  
Early Onset Alzheimer’S Disease

Comparison of polysomnographic variables and their relationship to cognitive impairment in patients with Alzheimer's disease and frontotemporal dementia

2011 ◽  
Vol 44 (06) ◽  
Author(s):  
B Kundermann ◽  
A Thum ◽  
R Rocamora ◽  
A Haag ◽  
J-C Krieg ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Frontotemporal Dementia

Gender differences in the Achilles tendon load during the fencing lunge

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Jonathan Kenneth Sinclair ◽  
Lindsay Bottoms
Keyword(s):  
Gender Differences ◽  
Achilles Tendon ◽  
Motion Capture ◽  
Tendon Injury ◽  
Force Platform ◽  
Motion Capture System ◽  
3D Motion ◽  
Loading Rates ◽  
Tendon Pathology ◽  
3D Motion Capture

AbstractRecent epidemiological analyses in fencing have shown that injuries and pain linked specifically to fencing training/competition were evident in 92.8% of fencers. Specifically the prevalence of Achilles tendon pathology has increased substantially in recent years, and males have been identified as being at greater risk of Achilles tendon injury compared to their female counterparts. This study aimed to examine gender differences in Achilles tendon loading during the fencing lunge.Achilles tendon load was obtained from eight male and eight female club level epee fencers using a 3D motion capture system and force platform information as they completed simulated lunges. Independent t-tests were performed on the data to determine whether differences existed.The results show that males were associated with significantly greater Achilles tendon loading rates in comparison to females.This suggests that male fencers may be at greater risk from Achilles tendon pathology as a function of fencing training/ competition.

Multimodal Spatio-Temporal Model of the Natural History of Alzheimer's Disease from Joint Serial Assessment of Amyloidosis, Tauopathy, Hypometabolism, and Atrophy

2019 ◽  
Author(s):  
Marco Lorenzi ◽  
Federica Ribaldi ◽  
Valentina Garibotto ◽  
Frederik Barkhof ◽  
Giovanni B. Frisoni ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Natural History ◽  
History Of ◽  
Temporal Model ◽  
Spatio Temporal

Tau Oligomer Induced HMGB1 Release Contributes to Cellular Senescence and Neuropathology Linked to Alzheimer's Disease and Frontotemporal Dementia

2020 ◽  
Author(s):  
Sagar Gaikwad ◽  
Nicha Puangmalai ◽  
Alice Bittar ◽  
Mauro Montalbano ◽  
Stephanie Garcia ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Cellular Senescence

scholarly journals Death Rate Due to COVID-19 in Alzheimer’s Disease and Frontotemporal Dementia

2020 ◽  
Vol 78 (2) ◽  
pp. 537-541
Author(s):  
Jordi A. Matias-Guiu ◽  
Vanesa Pytel ◽  
Jorge Matías-Guiu
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Death Rate ◽  
Case Series ◽  
Care Homes ◽  
Relevant Factor ◽  
Increased Risk ◽  
Care Facilities ◽  
Probability Of Death

We aimed to evaluate the frequency and mortality of COVID-19 in patients with Alzheimer’s disease (AD) and frontotemporal dementia (FTD). We conducted an observational case series. We enrolled 204 patients, 15.2% of whom were diagnosed with COVID-19, and 41.9% of patients with the infection died. Patients with AD were older than patients with FTD (80.36±8.77 versus 72.00±8.35 years old) and had a higher prevalence of arterial hypertension (55.8% versus 26.3%). COVID-19 occurred in 7.3% of patients living at home, but 72.0% of those living at care homes. Living in care facilities and diagnosis of AD were independently associated with a higher probability of death. We found that living in care homes is the most relevant factor for an increased risk of COVID-19 infection and death, with AD patients exhibiting a higher risk than those with FTD.

scholarly journals Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Adeline Su Lyn Ng ◽  
Juan Wang ◽  
Kwun Kei Ng ◽  
Joanna Su Xian Chong ◽  
Xing Qian ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Network Topology ◽  
Neuropsychiatric Symptoms ◽  
Brain Network ◽  
Salience Network ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Control Networks ◽  
And Control

Abstract Background Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) cause distinct atrophy and functional disruptions within two major intrinsic brain networks, namely the default network and the salience network, respectively. It remains unclear if inter-network relationships and whole-brain network topology are also altered and underpin cognitive and social–emotional functional deficits. Methods In total, 111 participants (50 AD, 14 bvFTD, and 47 age- and gender-matched healthy controls) underwent resting-state functional magnetic resonance imaging (fMRI) and neuropsychological assessments. Functional connectivity was derived among 144 brain regions of interest. Graph theoretical analysis was applied to characterize network integration, segregation, and module distinctiveness (degree centrality, nodal efficiency, within-module degree, and participation coefficient) in AD, bvFTD, and healthy participants. Group differences in graph theoretical measures and empirically derived network community structures, as well as the associations between these indices and cognitive performance and neuropsychiatric symptoms, were subject to general linear models, with age, gender, education, motion, and scanner type controlled. Results Our results suggested that AD had lower integration in the default and control networks, while bvFTD exhibited disrupted integration in the salience network. Interestingly, AD and bvFTD had the highest and lowest degree of integration in the thalamus, respectively. Such divergence in topological aberration was recapitulated in network segregation and module distinctiveness loss, with AD showing poorer modular structure between the default and control networks, and bvFTD having more fragmented modules in the salience network and subcortical regions. Importantly, aberrations in network topology were related to worse attention deficits and greater severity in neuropsychiatric symptoms across syndromes. Conclusions Our findings underscore the reciprocal relationships between the default, control, and salience networks that may account for the cognitive decline and neuropsychiatric symptoms in dementia.

Keypose synthesis from 3D motion capture data by using evolutionary clustering

2021 ◽  
Author(s):  
Mehmet Akif Günen ◽  
Pınar Çivicioğlu Beşdok ◽  
Erkan Beşdok
Keyword(s):  
Motion Capture ◽  
Motion Capture Data ◽  
3D Motion ◽  
Evolutionary Clustering ◽  
3D Motion Capture
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