P3-097: GAIT CHARACTERISTICS IN ALZHEIMER'S DISEASE AND FRONTOTEMPORAL DEMENTIA PATIENTS DURING DUAL TASK WALKING

2014 ◽  
Vol 10 ◽  
pp. P663-P663
Author(s):  
Gorana Mandic Stojmenovic ◽  
Elka Stefanova ◽  
Sasa Radovanovic ◽  
Vladimir Kostic
2021 ◽  
Vol 13 ◽  
Author(s):  
Linhui Ni ◽  
Wen Lv ◽  
Di Sun ◽  
Yi Sun ◽  
Yu Sun ◽  
...  

Given the limited power of neuropsychological tests, there is a need for a simple, reliable means, such as gait, to identify mild dementia and its subtypes. However, gait characteristics of patients with post-stroke dementia (PSD) and Alzheimer’s disease (AD) are unclear. We sought to describe their gait signatures and to explore gait parameters distinguishing PSD from post-stroke non-dementia (PSND) and patients with AD. We divided 3-month post-stroke patients into PSND and PSD groups based on the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the activity of daily living (ADL). Thirty-one patients with AD and thirty-two healthy controls (HCs) were also recruited. Ten gait parameters in one single and two dual-task gait tests (counting-backward or naming-animals while walking) were compared among the groups, with adjustment for baseline demographic covariates and the MMSE score. The area under the receiver operating characteristic curve (AUC) was used to identify parameters discriminating PSD from individuals with PSND and AD. Patients with PSD and patients with AD showed impaired stride length, velocity, stride time, and cadence while patients with PSD had altered stance and swing phase proportions (all p ≤ 0.01, post hoc). Patients with AD had smaller toe-off (ToA) and heel-to-ground angles (HtA) (p ≤ 0.01) than HCs in dual-task gait tests. Individuals with PSD had a shorter stride length, slower velocity, and altered stance and swing phase percentages in all tests (p ≤ 0.01), but a higher coefficient of variation of stride length (CoVSL) and time (CoVST) only in the naming animals-task gait test (p ≤ 0.001) than individuals with PSND. ToA and HtA in the naming animals-task gait test were smaller in individuals with AD than those with PSD (p ≤ 0.01). Statistical significance persisted after adjusting for demographic covariates, but not for MMSE. The pace and the percentage of stance or swing phase in all tests, CoVST in the dual-task paradigm, and CoVSL only in the naming animals-task gait test (moderate accuracy, AUC > 0.700, p ≤ 0.01) could distinguish PSD from PSND. Furthermore, the ToA and HtA in the naming animals-task gait paradigm discriminated AD from PSD (moderate accuracy, AUC > 0.700, p ≤ 0.01). Thus, specific gait characteristics could allow early identification of PSD and may allow non-invasive discrimination between PSD and AD, or even other subtypes of dementia.


2013 ◽  
Vol 34 (6) ◽  
pp. 995-998 ◽  
Author(s):  
Silvia Bagnoli ◽  
Irene Piaceri ◽  
Andrea Tedde ◽  
Valentina Bessi ◽  
Laura Bracco ◽  
...  

1998 ◽  
Vol 10 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Mario F. Mendez ◽  
Kent M. Perryman ◽  
Bruce L. Miller ◽  
Jeffrey L. Cummings

Frontotemporal dementia (FTD) is a dementing syndrome characterized by the occurrence of neuropsychiatric features early in the clinical course. Patients with Alzheimer's disease (AD) also have neuropsychiatric symptoms, but these symptoms typically emerge later in the course after the development of memory and other cognitive impairment. The BEHAVE-AD, an instrument developed to evaluate neuropsychiatric features in dementia, may help characterize the behavioral features of FTD and differentiate FTD from AD. This study evaluated BEHAVEAD results of 29 patients with the diagnosis of FTD compared to those of 29 patients with the diagnosis of probable AD of similar dementia severity. The FTD patients had significantly worse global BEHAVE-AD scores compared to the AD patients. Verbal outbursts and inappropriate activity characterized the FTD patients, and three BEHAVE-AD subscales correctly classified 69% of the patients. The assessment of neuropsychiatric symptoms with a standardized scale or inventory can help distinguish dementia patients with FTD and AD.


2014 ◽  
Author(s):  
Joseph P. Barsuglia ◽  
Michelle J. Mather ◽  
Hemali V. Panchal ◽  
Aditi Joshi ◽  
Elvira Jimenez ◽  
...  

2020 ◽  
Vol 78 (2) ◽  
pp. 537-541
Author(s):  
Jordi A. Matias-Guiu ◽  
Vanesa Pytel ◽  
Jorge Matías-Guiu

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.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Adeline Su Lyn Ng ◽  
Juan Wang ◽  
Kwun Kei Ng ◽  
Joanna Su Xian Chong ◽  
Xing Qian ◽  
...  

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.


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