Turkish Speech Analysis Development Study
TurkSpeech
1 other identifier
observational
180
1 country
1
Brief Summary
The aim of this observational study is to define speech alterations in the diagnosis of AD-related minor neurocognitive disorder (m-NBB) and major neurocognitive disorder (M-NBB). It is the development of a speech analysis method that can be used in future studies or routine clinical evaluations in these patients by using artificial intelligence and speech recognition methods that are planned to be developed based on the findings obtained. Purposes of the research
- 1.To define language disorders in the diagnosis of AD-related minor neurocognitive disorder (m-NBB) and major neurocognitive disorder (M-NBB).
- 2.Developing a speech analysis method that can be used in the early diagnosis of neurocognitive disorder patients by using artificial intelligence and speech recognition methods, which are planned to be developed based on the findings.
- 3.Evaluation of whether speech analysis distinguishes patients with m-NBB and M-NBB due to AD
- 4.Evaluation of whether speech analysis distinguishes minor NBD patients from healthy elderly patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 30, 2023
CompletedFirst Posted
Study publicly available on registry
February 17, 2023
CompletedStudy Start
First participant enrolled
March 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 16, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 16, 2025
CompletedMay 3, 2024
May 1, 2024
1.8 years
January 30, 2023
May 1, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Reaching the sufficient number of participants (120 patients and 60 healthy controls, 180 volunteers in total) and comparing the speech/language functions of the two patient groups with the healthy control group
about a year
Eligibility Criteria
\- Patients aged 60 and over followed up with the diagnosis of Minor Neurocognitive Disorder due to AD/ formerly Mild Cognitive Impairment (MCI) and major neurocognitive disorder due to mild or moderate AD according to DSM-5 and healthy elderly volunteers will be included to study.
You may qualify if:
- Healthy elderly volunteers will be invited to the study by advertisement, who do not have any neurological or psychiatric disorders, who do not use drugs, substances or alcohol that may affect cognitive functions, who do not have sensory defects that prevent the application of the tests, who have an SMMT score of 25 and above, who are 60 years of age and older will be included.
- For all three groups, the criterion of having received at least 5 years of education will be sought.
You may not qualify if:
- Presence of additional neurological or psychiatric disease in patient groups, and sensory deficits that prevent the application of tests.
- Patients with advanced AD diagnosis will not be included in the study.
- In addition, patients with a HAM-D score above 7 will be excluded from the study, since depression is thought to affect neuropsychological test performances.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- mihrimah ozturklead
- Ankara Universitycollaborator
Study Sites (1)
Ankara university Faculty of medicine
Ankara, Cankaya, 06000, Turkey (Türkiye)
Related Publications (4)
De Looze C, Dehsarvi A, Crosby L, Vourdanou A, Coen RF, Lawlor BA, Reilly RB. Cognitive and Structural Correlates of Conversational Speech Timing in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease: Relevance for Early Detection Approaches. Front Aging Neurosci. 2021 Apr 27;13:637404. doi: 10.3389/fnagi.2021.637404. eCollection 2021.
PMID: 33986656BACKGROUNDFraser KC, Meltzer JA, Rudzicz F. Linguistic Features Identify Alzheimer's Disease in Narrative Speech. J Alzheimers Dis. 2016;49(2):407-22. doi: 10.3233/JAD-150520.
PMID: 26484921BACKGROUNDGosztolya, G., Balogh, R., Imre, N., Egas-Lopez, J. V., Hoffmann, I., Vincze, V., ... & Kálmán, J. (2021). Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech. Computer Speech & Language, 69, 101215.
BACKGROUNDMueller KD, Van Hulle CA, Koscik RL, Jonaitis E, Peters CC, Betthauser TJ, Christian B, Chin N, Hermann BP, Johnson S. Amyloid beta associations with connected speech in cognitively unimpaired adults. Alzheimers Dement (Amst). 2021 May 27;13(1):e12203. doi: 10.1002/dad2.12203. eCollection 2021.
PMID: 34095435BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Assistant professor
Study Record Dates
First Submitted
January 30, 2023
First Posted
February 17, 2023
Study Start
March 1, 2023
Primary Completion
December 16, 2024
Study Completion
December 16, 2025
Last Updated
May 3, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share