Literature DB >> 23648383

Behavioural variant frontotemporal dementia: clinical and therapeutic approaches.

M Fernández-Matarrubia1, J A Matías-Guiu2, T Moreno-Ramos2, J Matías-Guiu2.   

Abstract

INTRODUCTION: Behavioural variant frontotemporal dementia (bvFTD) is the most frequent presentation in the clinical spectrum of frontotemporal dementia (FTD) and it is characterised by progressive changes in personality and conduct. Major breakthroughs in molecular biology and genetics made during the last two decades have lent us a better understanding of this syndrome, which may be the first manifestation in many different neurodegenerative diseases. DEVELOPMENT: We reviewed the main epidemiological, clinical, diagnostic and therapeutic aspects of bvFTD. Most cases manifest sporadically and the average age of onset is 58 years. Current criteria for bvFTD propose three levels of diagnostic certainty: possible, probable, and definite. Clinical diagnosis is based on a detailed medical history provided by family members and caregivers, in conjunction with neuropsychological testing. Treatments which have been used in bvFDT to date are all symptomatic and their effectiveness is debatable. New drugs designed for specific molecular targets that are implicated in frontotemporal lobar degeneration are being developed.
CONCLUSIONS: BvFDT is a frequent cause of dementia. It is a non-specific syndrome associated with heterogeneous histopathological and biomolecular findings. The definition of clinical subtypes complemented by biomarker identification may help predict the underlying pathology. This knowledge, along with the development of drugs designed for molecular targets, will offer new treatment possibilities.
Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Entities:  

Keywords:  Behavioural variant frontotemporal dementia; Clinical aspects; Clínica; Criterios diagnósticos; Degeneración lobar frontotemporal; Demencia frontotemporal variante conductual; Diagnosis; Diagnostic criteria; Diagnóstico; Frontotemporal lobar degeneration; Tratamiento; Treatment

Mesh:

Year:  2013        PMID: 23648383     DOI: 10.1016/j.nrl.2013.03.001

Source DB:  PubMed          Journal:  Neurologia        ISSN: 0213-4853            Impact factor:   3.109


  2 in total

1.  Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.

Authors:  Josefa Díaz-Álvarez; Jordi A Matias-Guiu; María Nieves Cabrera-Martín; Vanesa Pytel; Ignacio Segovia-Ríos; Fernando García-Gutiérrez; Laura Hernández-Lorenzo; Jorge Matias-Guiu; José Luis Carreras; José L Ayala
Journal:  Front Aging Neurosci       Date:  2022-02-03       Impact factor: 5.750

2.  GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms.

Authors:  Fernando García-Gutierrez; Josefa Díaz-Álvarez; Jordi A Matias-Guiu; Vanesa Pytel; Jorge Matías-Guiu; María Nieves Cabrera-Martín; José L Ayala
Journal:  Med Biol Eng Comput       Date:  2022-07-19       Impact factor: 3.079

  2 in total

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