19 Result(s)
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Jordi A. Matias-Guiu
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Article
Open AccessIn vivo diagnosis of TDP-43 proteinopathies: in search of biomarkers of clinical use
TDP-43 proteinopathies are a heterogeneous group of neurodegenerative disorders that share the presence of aberrant, misfolded and mislocalized deposits of the protein TDP-43, as in the case of amyotrophic lat...
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Open AccessAuthor Correction: Genetic-based patient stratification in Alzheimer’s disease
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Open AccessGenetic-based patient stratification in Alzheimer’s disease
Alzheimer's disease (AD) shows a high pathological and symptomatological heterogeneity. To study this heterogeneity, we have developed a patient stratification technique based on one of the most significant ri...
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Open AccessCognitive profile in multiple sclerosis and post-COVID condition: a comparative study using a unified taxonomy
Post-COVID condition (PCC) and multiple sclerosis (MS) share some clinical and demographic features, including cognitive symptoms and fatigue. Some pathophysiological mechanisms well-known in MS, such as autoi...
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Open AccessLeptin haploinsufficiency exerts sex-dependent partial protection in SOD1G93A mice by reducing inflammatory pathways in the adipose tissue
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by significant metabolic disruptions, including weight loss and hypermetabolism in both patients and animal models. Lepti...
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Predominance of visuoconstructive impairment after mild COVID-19?
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Open AccessEmotional processing in patients with single brain damage in the right hemisphere
The interest in the relationship between brain damage and social cognition has increased in recent years. The objectives of the present study were the following: (1) to evaluate and compare emotional facial re...
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Open AccessOn the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
Alzheimer's disease (AD) is a neurodegenerative disease whose molecular mechanisms are activated several years before cognitive symptoms appear. Genotype-based prediction of the phenotype is thus a key challen...
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Open AccessGA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
Artificial Intelligence aids early diagnosis and development of new treatments, which is key to slow down the progress of the diseases, which to date have no cure. The patients’ evaluation is carried out throu...
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Open AccessThe effects of the COVID-19 pandemic on neuropsychiatric symptoms in dementia and carer mental health: an international multicentre study
As a global health emergency, the rapid spread of the novel coronavirus disease (COVID-19) led to the implementation of widespread restrictions (e.g., quarantine, physical/social distancing measures). However,...
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Open AccessAn application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders
The analysis of health and medical data is crucial for improving the diagnosis precision, treatments and prevention. In this field, machine learning techniques play a key role. However, the amount of health da...
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Inhibition impairment in frontotemporal dementia, amyotrophic lateral sclerosis, and Alzheimer’s disease: clinical assessment and metabolic correlates
The ability to reject an automatic tendency, i.e. inhibition, has been linked to the prefrontal cortex, but its neural underpinnings are still controversial. Neurodegenerative diseases represent an interesting...
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Diagnosis of Amyotrophic Lateral Sclerosis/Frontotemporal Dementia Spectrum
Around 15% of frontotemporal dementia (FTD) patients develop clinical symptoms of motor neuron dysfunction. Different studies have suggested that roughly 50% of patients with Amyotrophic Lateral Sclerosis (ALS...
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Open AccessStructural MRI correlates of PASAT performance in multiple sclerosis
The Paced Auditory Serial Addition Test (PASAT) is a useful cognitive test in patients with multiple sclerosis (MS), assessing sustained attention and information processing speed. However, the neural underpin...
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Amyloid- and FDG-PET imaging in amyotrophic lateral sclerosis
We aimed to study brain metabolism and presence of beta-amyloid deposits using positron emission tomography (PET) in patients with amyotrophic lateral sclerosis (ALS).
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Open AccessAmyloid PET imaging in multiple sclerosis: an 18F-florbetaben study
Positron emission tomography (PET) images with amyloid tracers show normal uptake in healthy white matter, which suggests that amyloid tracers are potentially useful for studying such white matter diseases as ...
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Amyloid and FDG-PET study of logopenic primary progressive aphasia: evidence for the existence of two subtypes
The logopenic variant of primary progressive aphasia (lvPPA) has been associated with Alzheimer disease, although this relationship is still subject to debate. The purpose of this study is to determine the fre...
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Visual and statistical analysis of 18F-FDG PET in primary progressive aphasia
Diagnosing progressive primary aphasia (PPA) and its variants is of great clinical importance, and fluorodeoxyglucose (FDG) positron emission tomography (PET) may be a useful diagnostic technique. The purpose ...
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Clinical course of primary progressive aphasia: clinical and FDG-PET patterns
Primary progressive aphasia (PPA) may be the onset of several neurodegenerative diseases. This study evaluates a cohort of patients with PPA to assess their progression to different clinical syndromes, associa...
