Diagnosis of Alzheimer’s disease and behavioral variant frontotemporal dementia with machine learning‐aided neuropsychological assessment using feature engineering and genetic algorithms

2021 ◽  
Author(s):  
Fernando Garcia‐Gutierrez ◽  
Alfonso Delgado‐Alvarez ◽  
Cristina Delgado‐Alonso ◽  
Josefa Díaz‐Álvarez ◽  
Vanesa Pytel ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Genetic Algorithms ◽  
Frontotemporal Dementia ◽  
Neuropsychological Assessment ◽  
Feature Engineering ◽  
Behavioral Variant Frontotemporal Dementia

scholarly journals Machine learning for neuropsychological assessment of Alzheimer’s disease and behavioral variant frontotemporal dementia

2021 ◽  
Vol 17 (S6) ◽  
Author(s):  
Jordi A Matias‐Guiu ◽  
Fernando García‐Gutiérrez ◽  
Vanesa Pytel ◽  
Laura Hernández‐Lorenzo ◽  
Alfonso Delgado‐Álvarez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Neuropsychological Assessment ◽  
Behavioral Variant Frontotemporal Dementia

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.

Different apathy clinical profile and neural correlates in behavioral variant frontotemporal dementia and Alzheimer's disease

2017 ◽  
Vol 33 (1) ◽  
pp. 141-150 ◽  
Author(s):  
Marta Fernández-Matarrubia ◽  
Jordi A. Matías-Guiu ◽  
María Nieves Cabrera-Martín ◽  
Teresa Moreno-Ramos ◽  
María Valles-Salgado ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Neural Correlates ◽  
Clinical Profile ◽  
Behavioral Variant Frontotemporal Dementia

Brazilian Version of Addenbrooke’s Cognitive Examination—Revised in the Differential Diagnosis of Alzheimer’S Disease and Behavioral Variant Frontotemporal Dementia

2021 ◽  
Author(s):  
Viviane Amaral-Carvalho ◽  
Thais Bento Lima-Silva ◽  
Luciano Inácio Mariano ◽  
Leonardo Cruz de Souza ◽  
Henrique Cerqueira Guimarães ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Differential Diagnosis ◽  
Diagnostic Accuracy ◽  
Frontotemporal Dementia ◽  
Predictive Value ◽  
Univariate Analysis ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Present Sample ◽  
Addenbrooke’S Cognitive Examination

Abstract Introduction Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are frequent causes of dementia and, therefore, instruments for differential diagnosis between these two conditions are of great relevance. Objective To investigate the diagnostic accuracy of Addenbrooke’s Cognitive Examination-Revised (ACE-R) for differentiating AD from bvFTD in a Brazilian sample. Methods The ACE-R was administered to 102 patients who had been diagnosed with mild dementia due to probable AD, 37 with mild bvFTD and 161 cognitively healthy controls, matched according to age and education. Additionally, all subjects were assessed using the Mattis Dementia Rating Scale and the Neuropsychiatric Inventory. The performance of patients and controls was compared by using univariate analysis, and ROC curves were calculated to investigate the accuracy of ACE-R for differentiating AD from bvFTD and for differentiating AD and bvFTD from controls. The verbal fluency plus language to orientation plus name and address delayed recall memory (VLOM) ratio was also calculated. Results The optimum cutoff scores for ACE-R were <80 for AD, <79 for bvFTD, and <80 for dementia (AD + bvFTD), with area under the receiver operating characteristic curves (ROC) (AUC) >0.85. For the differential diagnosis between AD and bvFTD, a VLOM ratio of 3.05 showed an AUC of 0.816 (Cohen’s d = 1.151; p < .001), with 86.5% sensitivity, 71.4% specificity, 72.7% positive predictive value, and 85.7% negative predictive value. Conclusions The Brazilian ACE-R achieved a good diagnostic accuracy for differentiating AD from bvFTD patients and for differentiating AD and bvFTD from the controls in the present sample.

scholarly journals Fronto-Striatal Atrophy in Behavioral Variant Frontotemporal Dementia and Alzheimer’s Disease

2015 ◽  
Vol 6 ◽  
Author(s):  
Maxime Bertoux ◽  
Claire O’Callaghan ◽  
Emma Flanagan ◽  
John R. Hodges ◽  
Michael Hornberger
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Behavioral Variant Frontotemporal Dementia

scholarly journals Interactions between decision-making and emotion in behavioral-variant frontotemporal dementia and Alzheimer’s disease

2020 ◽  
Vol 15 (6) ◽  
pp. 681-694
Author(s):  
Aurélie L Manuel ◽  
Daniel Roquet ◽  
Ramon Landin-Romero ◽  
Fiona Kumfor ◽  
Rebekah M Ahmed ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Decision Making ◽  
Frontotemporal Dementia ◽  
Delay Discounting ◽  
Animal Studies ◽  
Negative Emotion ◽  
Emotion Processing ◽  
Brain Regions ◽  
Behavioral Variant Frontotemporal Dementia

Abstract Negative and positive emotions are known to shape decision-making toward more or less impulsive responses, respectively. Decision-making and emotion processing are underpinned by shared brain regions including the ventromedial prefrontal cortex (vmPFC) and the amygdala. How these processes interact at the behavioral and brain levels is still unclear. We used a lesion model to address this question. Study participants included individuals diagnosed with behavioral-variant frontotemporal dementia (bvFTD, n = 18), who typically present deficits in decision-making/emotion processing and atrophy of the vmPFC, individuals with Alzheimer’s disease (AD, n = 12) who present with atrophy in limbic structures and age-matched healthy controls (CTRL, n = 15). Prior to each choice on the delay discounting task participants were cued with a positive, negative or neutral picture and asked to vividly imagine witnessing the event. As hypothesized, our findings showed that bvFTD patients were more impulsive than AD patients and CTRL and did not show any emotion-related modulation of delay discounting rate. In contrast, AD patients showed increased impulsivity when primed by negative emotion. This increased impulsivity was associated with reduced integrity of bilateral amygdala in AD but not in bvFTD. Altogether, our results indicate that decision-making and emotion interact at the level of the amygdala supporting findings from animal studies.

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

scholarly journals Disrupted rich club network in behavioral variant frontotemporal dementia and early-onset Alzheimer's disease

2015 ◽  
Vol 37 (3) ◽  
pp. 868-883 ◽  
Author(s):  
Madelaine Daianu ◽  
Adam Mezher ◽  
Mario F. Mendez ◽  
Neda Jahanshad ◽  
Elvira E. Jimenez ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Early Onset ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Rich Club ◽  
Early Onset Alzheimer’S Disease
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