Frontotemporal dementia (FTD) is the second most frequent degenerative cause of dementia. Although described for more than a century, it remains often misdiagnosed, mistaken for Alzheimer's disease or psychiatric disorders, which is prejudicial to care and research. It is a clinical syndrome corresponding to at least three histological entities: (1) Pick's disease, (2) non-specific frontotemporal degeneration, (6 times more frequent), and (3) frontal lobe abnormalities associated with motor neurone disease. It never corresponds to Alzheimer pathology. It must be suspected in patients with behavioural dyscontrol predating memory impairment, without spatial disorientation and normal EEG.
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http://dx.doi.org/10.1159/000112894 | DOI Listing |
Int J Geriatr Psychiatry
January 2025
Precision Neuroscience & Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Background: Alzheimer's disease (AD) is characterized by impaired inhibitory circuitry and GABAergic dysfunction, which is associated with reduced fast brain oscillations in the gamma band (γ, 30-90 Hz) in several animal models. Investigating such activity in human patients could lead to the identification of novel biomarkers of diagnostic and prognostic value. The current study aimed to test a multimodal "Perturbation-based" transcranial Alternating Current Stimulation-Electroencephalography (tACS)-EEG protocol to detect how responses to tACS in AD patients correlate with patients' clinical phenotype.
View Article and Find Full Text PDFMol Ther
January 2025
Program of Cellular and Molecular Biology, Biomedical Sciences Institute (ICBM), Universidad de Chile, Santiago, Chile; Biomedical Neuroscience, Faculty of Medicine, Universidad de Chile, Santiago, Chile; FONDAP Center for Geroscience, Brain Health and Metabolism, Santiago, Chile; Buck Institute for Research on Aging, Novato, CA, USA. Electronic address:
Amyotrophic lateral sclerosis (ALS) and fronto-temporal dementia (FTD) are part of a spectrum of diseases that share several causative genes, resulting in a combinatory of motor and cognitive symptoms and abnormal protein aggregation. Multiple unbiased studies have revealed that proteostasis impairment at the level of the endoplasmic reticulum (ER) is a transversal pathogenic feature of ALS/FTD. The transcription factor XBP1s is a master regulator of the unfolded protein response (UPR), the main adaptive pathway to cope with ER stress.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
December 2024
Department of Clinical and Experimental Sciences (DA, BB), University of Brescia, Brescia, Italy; Molecular Markers Laboratory (BB), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Electronic address:
Objectives: The present study aims to assess the prevalence, associated clinical symptoms, longitudinal changes, and imaging correlates of Loss of Insight (LOI), which is still unexplored in syndromes associated with Frontotemporal Lobar Degeneration (FTLD).
Design: Retrospective longitudinal cohort study, from Oct 2009 to Feb 2023.
Setting: Tertiary Frontotemporal Dementia research clinic.
Parkinsonism Relat Disord
January 2025
Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China. Electronic address:
Introduction: Evidence have indicated relation between apolipoproteins and neurodegenerative disorders (NDDs). However, previous studies have produced inconsistent results, and a comprehensive analysis of apolipoproteins in NDDs is currently lacking.
Methods: Using Cox proportional hazards regression analysis based on data from UK Biobank, we examined the association between baseline serum levels of apolipoprotein A (ApoA) and apolipoprotein B (ApoB) and risk of Parkinson's disease (PD), Alzheimer's disease, amyotrophic lateral sclerosis, frontotemporal dementia, and multiple sclerosis.
Cortex
December 2024
Departments of Neurology and Nuclear Medicine, Hospital Clinico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Spain. Electronic address:
Background: This study aimed to evaluate the capacity of neuropsychological assessment to predict the regional brain metabolism in a cohort of patients with amnestic Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) using Machine Learning algorithms.
Methods: We included 360 subjects, consisting of 186 patients with AD, 87 with bvFTD, and 87 cognitively healthy controls. All participants underwent a neuropsychological assessment using the Addenbrooke's Cognitive Examination and the Neuronorma battery, in addition to [F]-fluorodeoxyglucose positron emission tomography (FDG-PET) imaging.
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