To examine the usefulness of the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis (ALS) Screen (ECAS) as a cognitive screening tool for the detection of behavioral variant frontotemporal dementia (bvFTD). A secondary aim was to determine whether people with FTD combined with ALS (ALS-FTD) exhibit a similar ECAS profile to that of people with bvFTD alone. Patients with ALS-FTD and bvFTD and healthy controls were recruited. Participants were administered the ECAS, which comprises tests of language, verbal fluency, executive functions, memory, and visual-spatial functions. They also carried out analogous, full-length cognitive tests that examine naming, spelling, sentence completion, and social cognition skills. The study cohort comprised 20 ALS-FTD patients, 23 with bvFTD, and 30 controls. Highly significant group differences were elicited for all cognitive domains, reflecting poorer performance in patients compared to controls. No significant differences in overall test scores were found between ALS-FTD and bvFTD patients, although ALS-FTD patients showed a higher frequency of impairment on verbal fluency. Correlative analyses revealed inter-relationships in patients (but not controls) between scores in different domains, most marked in bvFTD. There were strong correlations between performance on ECAS subtests and analogous cognitive tasks. The ECAS is a sensitive and valuable tool for the assessment of FTD. Executive, language and behavioral breakdown may, however, compromise performance in other cognitive domains, reducing the specificity of the 'frontotemporal' cognitive profile. Subtle differences observed between ALS-FTD and bvFTD raise questions regarding the precise relationship between bvFTD with and without ALS.
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http://dx.doi.org/10.1080/21678421.2020.1797090 | DOI Listing |
Transl Neurodegener
December 2023
Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Background: TDP-43 proteinopathies represent a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study was aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum.
View Article and Find Full Text PDFAmyotroph Lateral Scler Frontotemporal Degener
May 2024
Penn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.
Objective: To evaluate automated digital speech measures, derived from spontaneous speech (picture descriptions), in assessing bulbar motor impairments in patients with ALS-FTD spectrum disorders (ALS-FTSD).
Methods: Automated vowel algorithms were employed to extract two vowel acoustic measures: vowel space area (VSA), and mean second formant slope (F2 slope). Vowel measures were compared between ALS with and without clinical bulbar symptoms (ALS + bulbar (n = 49, ALSFRS-r bulbar subscore: x¯ = 9.
Brain Behav
November 2023
Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Background: Language deficits are cardinal manifestations of some frontotemporal dementia (FTD) phenotypes and also increasingly recognized in sporadic and familial amyotrophic lateral sclerosis (ALS). They have considerable social and quality-of-life implications, and adaptive strategies are challenging to implement. While the neuropsychological profiles of ALS-FTD phenotypes are well characterized, the neuronal underpinnings of language deficits are less well studied.
View Article and Find Full Text PDFBackground: TDP-43 proteinopathies represents a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum.
View Article and Find Full Text PDFBackground And Objectives: Patients with ALS-FTD spectrum disorders (ALS-FTSD) have mixed motor and cognitive impairments and require valid and quantitative assessment tools to support diagnosis and tracking of bulbar motor disease. This study aimed to validate a novel automated digital speech tool that analyzes vowel acoustics from natural, connected speech as a marker for impaired articulation due to bulbar motor disease in ALS-FTSD.
Methods: We used an automatic algorithm called Forced Alignment Vowel Extraction (FAVE) to detect spoken vowels and extract vowel acoustics from 1 minute audio-recorded picture descriptions.
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