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Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts

Veronika Vincze, Gábor Gosztolya, László Tóth, Ildikó Hoffmann, Gréta Szatlóczki, Zoltán Bánréti, Magdolna Pákáski, János Kálmán
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
Our results suggest that it is primarily morphological and speechbased features that help distinguish MCI patients from healthy controls.  ...  Here we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) based on linguistic features collected from their speech transcripts.  ...  Statistical analysis of features In order to reveal which features can most effectively distinguish healthy controls from MCI patients, we carried out a statistical analysis of the data (t-tests for each  ... 
doi:10.18653/v1/p16-2030 dblp:conf/acl/VinczeGTHSBPK16 fatcat:5ipsgbvduzbvfg6gxl5ek6nfdy

Data Collection from Persons with Mild Forms of Cognitive Impairment and Healthy Controls - Infrastructure for Classification and Prediction of Dementia

Dimitrios Kokkinakis, Kristina Lundholm Fors, Eva Björkner, Arto Nordlund
2017 Nordic Conference of Computational Linguistics  
with mild symptoms of cognitive impairment from healthy, age-matched controls and identify possible indicators for the early detection of mild forms of cognitive impairment.  ...  Features will be extracted from audio recordings (speech signal), the transcription of the audio signals (text) and the raw eye-tracking data.  ...  Acknowledgments This work has received support from Riksbankens Jubileumsfond -The Swedish Foundation for Humanities and Social Sciences, through the grant agreement no: NHS 14-1761:1.  ... 
dblp:conf/nodalida/KokkinakisFBN17 fatcat:rmxc36kzv5fydkyftccad5tqp4

Predicting Early Indicators of Cognitive Decline from Verbal Utterances [article]

Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L.Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
2021 arXiv   pre-print
In recent years, clinical research advances in brain aging have focused on the earliest clinically detectable stage of incipient dementia, commonly known as mild cognitive impairment (MCI).  ...  Our work shows that machine learning algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from verbal utterances and assist clinical diagnosis of different stages  ...  The authors are deeply grateful to the SoonJye Kho and Amanuel Alambo for peer-reviewing the paper.  ... 
arXiv:2012.02029v2 fatcat:s3rgfod3jjhtvmfn3ternbjuxu

Dementia detection using automatic analysis of conversations

Bahman Mirheidari, Daniel Blackburn, Traci Walker, Markus Reuber, Heidi Christensen
2019 Computer Speech and Language  
Neurogenerative disorders, like dementia, can affect a person's speech, language and as a consequence, conversational interaction capabilities.  ...  Analysis of the significance of individual features show that some differences exist between the IVA and human-led conversations for example in average turn length of patients.  ...  Most studies have focused on distinguishing healthy controls from patients with different types of dementia, most commonly AD.  ... 
doi:10.1016/j.csl.2018.07.006 fatcat:6mt3jt72m5bg3bn63hpvywxdxa

Predicting mild cognitive impairment from spontaneous spoken utterances

Meysam Asgari, Jeffrey Kaye, Hiroko Dodge
2017 Alzheimer s & Dementia Translational Research & Clinical Interventions  
We hypothesized that indicators of mild cognitive impairment (MCI) may be present in the content of spoken language in older adults and be useful in distinguishing those with MCI from those who are cognitively  ...  Results: MCI participants were distinguished from those with intact cognition using linguistic features obtained by LIWC with 84% classification accuracy which is well above chance 60%.  ...  Combining these two profiles of features derived from 48 participants, including nine healthy controls, nine AD patients, and 30 frontotemporal lobar degeneration (FTLD) patients (nine with behavioral  ... 
doi:10.1016/j.trci.2017.01.006 pmid:29067328 pmcid:PMC5651423 fatcat:pgjnly2v7nh4vo5ps64b7ndhxm

Identification of Dementia Using Audio Biomarkers [article]

Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat, Sunil Kumar Kopparapu
2020 arXiv   pre-print
We analyze the patients audio excerpts from a clinician-participant conversations taken from the Pitt corpus of DementiaBank database, to identify the speech parameters that best distinguish between MCI  ...  , AD and healthy (HC) speech.  ...  This is consistent with the fact that distinguishing early stage dementia from healthy speech is challenging even for trained experts.  ... 
arXiv:2002.12788v1 fatcat:g2e6q7sqifcchc6d6c3ei25vjm

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type [article]

Trevor Cohen, Serguei Pakhomov
2020 arXiv   pre-print
In recent years there has been a burgeoning interest in the use of computational methods to distinguish between elicited speech samples produced by patients with dementia, and those from healthy controls  ...  The difference between perplexity estimates from two neural language models (LMs) - one trained on transcripts of speech produced by healthy participants and the other trained on transcripts from patients  ...  Acknowledgments This research was supported by Administrative Supplement R01 LM011563 S1 from the National Library of Medicine.  ... 
arXiv:2005.03593v2 fatcat:ievtfl6lsfbqbezqu6r6qrmywi

A computerized technique to assess language use patterns in patients with frontotemporal dementia

Serguei V.S. Pakhomov, Glenn E. Smith, Susan Marino, Angela Birnbaum, Neill Graff-Radford, Richard Caselli, Bradley Boeve, David S. Knopman
2010 Journal of Neurolinguistics  
Audio-recorded samples of 48 FTLD patients from three participating medical centers were elicited using the Cookie Theft picture stimulus.  ...  The perplexity index represents the degree of deviation in word patterns used by FTLD patients compared to patterns of healthy adults.  ...  We would also like to thank Dustin Chacon for helping with transcription of speech samples.  ... 
doi:10.1016/j.jneuroling.2009.12.001 pmid:21359164 pmcid:PMC3043371 fatcat:flb57zrsrne45m545mskwb5abe

Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task

Alexandra König, Nicklas Linz, Johannes Tröger, Maria Wolters, Jan Alexandersson, Phillipe Robert
2018 Dementia and Geriatric Cognitive Disorders  
Methods: SVF data was collected from 95 older people with MCI (n=47), Alzheimer's or related dementias (ADRD; n=24) and healthy controls (HC; n=24).  ...  Semantic verbal fluency (SVF) tests are routinely used in screening for mild cognitive impairment (MCI). In this task, participants name as many items of a semantic category under a time constraint.  ...  SVF performance can distinguish people with dementia from healthy controls and people with mild cognitive impairment [25] [26] [27] [28] [29] , and additionally can be sensitive to early phases of neurodegenerative  ... 
doi:10.1159/000487852 pmid:29886493 fatcat:hsxemwklkjephhj7w4hn2jrkr4

Data Resource Acquisition from People at Various Stages of Cognitive Decline – Design and Exploration Considerations

Dimitrios Kokkinakis, Kristina Lundholm Fors, Arto Nordlund
2016 Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis  
., design, methodology, creation and description) of linguistic and extra-linguistic data samples acquired from people diagnosed with subjective or mild cognitive impairment and healthy, age-matched controls  ...  Features will be also correlated with measured outcomes from e.g. language-related scores, such as word fluency, in order to investigate whether there are relationships between various variables.  ...  Acknowledgments This work has received support from Riksbankens Jubileumsfond -The Swedish Foundation for Humanities and Social Sciences, through the grant agreement no: NHS 14-1761:1.  ... 
doi:10.18653/v1/w16-6104 dblp:conf/acl-louhi/KokkinakisFN16 fatcat:zf5iqxbqhbhprb3blplsuq5w5q

Connected Speech in Neurodegenerative Language Disorders: A Review

Veronica Boschi, Eleonora Catricalà, Monica Consonni, Cristiano Chesi, Andrea Moro, Stefano F. Cappa
2017 Frontiers in Psychology  
A total of 61 studies have been included, considering only those reporting group analysis and comparisons with a group of healthy persons.  ...  Here we present an exhaustive review of the studies focusing on the linguistic variables derived from the analysis of connected speech samples, with the aim of characterizing the language disorders of  ...  Only variables reported to be significant in distinguishing at least one specific disease from healthy persons or from other diseases were included.  ... 
doi:10.3389/fpsyg.2017.00269 pmid:28321196 pmcid:PMC5337522 fatcat:opuohd3uo5d4ljr3mgbc2yor3y

A feasibility study of speech recording using a contact microphone in patients with possible or probable Alzheimer's disease to detect and quantify repetitions in a natural setting

Vanda Nemes, Dragana Nikolic, Anna Barney, Peter Garrard
2012 Alzheimer's & Dementia  
AD observed in persons without diabetes (p for interaction ¼ 0.03).  ...  Gate variables can distinguish HC and AD/ MCI, and cognitive tests are suitable for discrimination between AD and AND COGNITIVE FUNCTION AMONG ELDERLY INDIVIDUALS WITH ALZHEIMER'S DISEASE, MILD COGNITIVE  ... 
doi:10.1016/j.jalz.2012.05.1330 fatcat:qb7d45iaajgr7hdwovmcuhz5ra

Narrative discourse in Persian-speaking patients with mild Alzheimer's disease

Masumeh Farivar, Zahra Ghayoumi Anaraki, Fatemeh Derakhshandeh, Nahid Baharloei, Marziyeh Poorjavad
2019 Dementia & Neuropsychologia  
Objective: the aim of this study was to perform a multi-level analysis of narrative discourse in Persian-speaking patients with mild AD and to compare them with healthy elderly.  ...  Methods: the study included 14 older adults with mild AD and a matched group of 14 healthy elderly.  ...  This study was extracted from the thesis written by Masumeh Farivar for an MSc degree (code No. 396281). The study was financially supported by Isfahan University of Medical Sciences, Isfahan, Iran.  ... 
doi:10.1590/1980-57642018dn13-020012 pmid:31285798 pmcid:PMC6601312 fatcat:v4czfmnn5bgmfllcjmcdpi3mua

Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease

Alexandra König, Aharon Satt, Alexander Sorin, Ron Hoory, Orith Toledo-Ronen, Alexandre Derreumaux, Valeria Manera, Frans Verhey, Pauline Aalten, Phillipe H. Robert, Renaud David
2015 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
To evaluate the interest of using automatic speech analyses for the assessment of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD).  ...  Methods: Healthy elderly control (HC) subjects and patients with MCI or AD were recorded while performing several short cognitive vocal tasks.  ...  The tasks were used to determine the effectiveness of speech processing technologies to support dementia assessment.  ... 
doi:10.1016/j.dadm.2014.11.012 pmid:27239498 pmcid:PMC4876915 fatcat:lgsje3x3m5fxffxn3qe3yygfbe

Distinguishing Alzheimer's disease from other major forms of dementia

Stella Karantzoulis, James E Galvin
2011 Expert Review of Neurotherapeutics  
Key features include recognition of a broad AD spectrum (from preclinical to mild cognitive impairment to AD dementia) and requirement of AD biomarkers for diagnosis.  ...  It can be difficult to distinguish between the various dementia syndromes given the overlap in many common clinical features across the dementias.  ...  Most studies show that the memory profile in this group closely resembles that exhibited by patients with mild AD, with mean episodic memory test scores intermediate between those with mild AD and healthy  ... 
doi:10.1586/ern.11.155 pmid:22014137 pmcid:PMC3225285 fatcat:rsyhifb3bfbm5madqhdwormxsu
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