Charting Frontotemporal Dementia: From Genes to Networks

Filippi, Massimo; Ferraro, Pilar M.

doi:10.1111/jon.12316

Cited by 12 publications

(4 citation statements)

References 121 publications

(273 reference statements)

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“…FTD represents a group of disorders considered to be clinically and pathologically distinct from AD, although FTD may be mistaken for AD in the early clinical stages [10,11]. FTD clinically presents as either behavioural or aphasic variants, reflecting the topography of the underlying synaptic and neuronal loss [10,12,13]. The most common behavioural or frontal variant of FTD is associated with disinhibition, impulsivity, apathy, and loss of insight, which disturb social interaction, and it is typically accompanied by marked frontal lobe atrophy.…”

Section: Brief Overview Of Distinct and Overlapping Clinical Features...mentioning

confidence: 99%

Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders

De Marchi,

Munitic,

Vidatic

et al. 2023

Biomedicines

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Many potential immune therapeutic targets are similarly affected in adult-onset neurodegenerative diseases, such as Alzheimer’s (AD) disease, Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and frontotemporal dementia (FTD), as well as in a seemingly distinct Niemann–Pick type C disease with primarily juvenile onset. This strongly argues for an overlap in pathogenic mechanisms. The commonly researched immune targets include various immune cell subsets, such as microglia, peripheral macrophages, and regulatory T cells (Tregs); the complement system; and other soluble factors. In this review, we compare these neurodegenerative diseases from a clinical point of view and highlight common pathways and mechanisms of protein aggregation, neurodegeneration, and/or neuroinflammation that could potentially lead to shared treatment strategies for overlapping immune dysfunctions in these diseases. These approaches include but are not limited to immunisation, complement cascade blockade, microbiome regulation, inhibition of signal transduction, Treg boosting, and stem cell transplantation.

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Section: Brief Overview Of Distinct and Overlapping Clinical Features...mentioning

confidence: 99%

Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders

De Marchi,

Munitic,

Vidatic

et al. 2023

Biomedicines

View full text Add to dashboard Cite

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“…(2) Genetics: Studies (e.g., Filippi, Agosta, & Ferraro, 2016;Kim et al, 2018;Loy et al, 2014) have indicated two categories of genes, i.e., deterministic genes and risk genes, can determine if an individual would develop dementia. For example, Cuccaro et al (2017) found Alzheimer's genes to be present in both 10.54392/ajir2221…”

Section: Introductionmentioning

confidence: 99%

A Case Study of an Octogenarian identified with Dementia by Diagnostic Application of Projective Drawing Tests

Singh¹,

Xie²

2022

Asian J. Interdiscip. Res.

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Dementia is a serious form of cognitive impairment that is currently untreatable and can decline rapidly over time. Beginning with mild cognitive impairment, such as memory loss, poor judgment, difficulty in task performance, misplacement of things, disorientation, language problems and loss of initiative, the severity of cognitive loss becomes gradually more apparent. In fact, dementia impacts five key cognitive functions: attention, executive function, memory, language, and processing speed. In this case study of a female Singaporean octogenarian was suspected to suffer from dementia. The authors administered three projective drawing tests – i.e., the Human-Figure Drawing Test for Cognitive Impairment (HFD-CI), the Human-Figure Drawing Test for Dementia Screening (HFDT-DS), and the Clock Drawing Test (CDT) – and the Mini-Mental State Examination (MMSE) in their dementia identification procedure to make an immediate referral to a geriatric psychiatrist for the client’s mental health follow-up.

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“…The other brain disease, frontotemporal dementia (FTD), is clinically as well as a genetically syndrome of heterogeneous, which is featured by overlying clinical symptoms. These symptoms involve changes in behavior, language motor function, personality and degeneration of the brain region, frontal and temporal lobes [2]. FTD causes the cognitive and social decline of relative to the adult level of capability.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Techniques to Identify Dementia

Mathkunti¹,

Rangaswamy²

2020

SN COMPUT. SCI.

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The challenge to clinician is to diagnosis the complex disease such as Alzheimer, disease, frontotemporal dementia and Parkinson. The diseases are bit complex to diagnose in terms of symptoms as they overlap in many aspects. So, it is necessary to investigate the process of diagnostic with more accuracy with different parameters of the disease. The paper presents the implementation of machine learning algorithms to get more accuracy to identify the disease Parkinson. The data set referred is from Online-based machine learning repository also recognized as UCI. Support vector machine, K-nearest neighbor and linear discriminant analysis algorithms are used to calculate accuracy, recall and confusion matrix. The outcome of this implementation has given the accuracy of 100% for SVM and KNN algorithms and 80% for LDA. The size of the data set is 196 entries, and a number of parameters for each row are 22. The main parameters which are significant for the disease are 5, and implementation has done with 2 different versions. In first version, all the parameters are included, and in the second version, only 5 main parameters included. In both cases, training set is 70% and test set is 30%. SVM shows more accuracy in both versions of implementation. This helps to find the diagnosis and also to judge the significance of parameters with real data set.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Charting Frontotemporal Dementia: From Genes to Networks

Cited by 12 publications

References 121 publications

Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders

Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders

A Case Study of an Octogenarian identified with Dementia by Diagnostic Application of Projective Drawing Tests

Machine Learning Techniques to Identify Dementia

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