Frontotemporal lobar degeneration

M Grossman, WW Seeley, AL Boxer, AE Hillis… - Nature Reviews …, 2023 - nature.com
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset
dementia and presents with early social–emotional–behavioural and/or language changes …

Speech and language markers of neurodegeneration: a call for global equity

AM García, J de Leon, BL Tee, DE Blasi… - Brain, 2023 - academic.oup.com
In the field of neurodegeneration, speech and language assessments are useful for
diagnosing aphasic syndromes and for characterizing other disorders. As a complement to …

[BOOK][B] Cognitive neuroscience of language

D Kemmerer - 2022 - taylorfrancis.com
Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …

A syntax–lexicon trade-off in language production

N Rezaii, K Mahowald, R Ryskin… - Proceedings of the …, 2022 - National Acad Sciences
Spoken language production involves selecting and assembling words and syntactic
structures to convey one's message. Here we probe this process by analyzing natural …

Toolkit to Examine Lifelike Language (TELL): An app to capture speech and language markers of neurodegeneration

AM García, F Johann, R Echegoyen… - Behavior research …, 2024 - Springer
Automated speech and language analysis (ASLA) is a promising approach for capturing
early markers of neurodegenerative diseases. However, its potential remains …

Lexical and acoustic speech features relating to Alzheimer disease pathology

S Cho, KAQ Cousins, S Shellikeri, S Ash, DJ Irwin… - Neurology, 2022 - AAN Enterprises
Background and Objectives We compared digital speech and language features of patients
with amnestic Alzheimer disease (aAD) or logopenic variant primary progressive aphasia …

Detecting fatigue in multiple sclerosis through automatic speech analysis

M Dias, F Dörr, S Garthof, S Schäfer… - Frontiers in Human …, 2024 - frontiersin.org
Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central
nervous system demyelination and axonal degeneration. Fatigue affects a major portion of …

Automated analysis of digitized letter fluency data

S Cho, N Nevler, N Parjane, C Cieri… - Frontiers in …, 2021 - frontiersin.org
The letter-guided naming fluency task is a measure of an individual's executive function and
working memory. This study employed a novel, automated, quantifiable, and reproducible …

Automated free speech analysis reveals distinct markers of Alzheimer's and frontotemporal dementia

P Lopes da Cunha, F Ruiz, F Ferrante, LF Sterpin… - PLoS …, 2024 - journals.plos.org
Dementia can disrupt how people experience and describe events as well as their own role
in them. Alzheimer's disease (AD) compromises the processing of entities expressed by …

[PDF][PDF] Detecting Anxiety and Depression from Phone Conversations using x-vectors

N Kwon, S Hossain, N Blaylock… - Proc. Workshop on …, 2022 - isca-archive.org
We developed a model for detecting anxiety and depression from telephony recordings
between a customer and a representative at a call center using vocal features and a deep …