Mild Cognitive Impairment (MCI), Dementia, Mild Cognitive Impairment (MCI) Amnestic, Frontotemporal Degeneration (FTD), Alzheimer Disease (AD)
Conditions
Keywords
digital diagnostics, cognition, Mild Cognitive Impairment (MCI), dementia, screening
Brief summary
Early cognitive disorders diagnosis is becoming increasingly important due to population aging. The most common causes include Alzheimer's disease and frontotemporal dementia. These diseases are also manifested by changes in speech. NLP allows us to identify and classify these changes. The project aims to develop a web application for self-assessment and automated detection of cognitive disorders from speech. The application will have a form of a dialogue system using machine learning methods. The novelty of this approach is the possibility of an efficient self-assessment of a wide spectrum of the Czech population from their homes and an automated evaluation of test results. Early detection can be followed by a more detailed diagnosis and adequate treatment.
Interventions
DIAGNOSTIC_TESTThe Repeatable Battery for the Assessment of Neuropsychological Status (RBANS)
A brief individually administered battery to measure cognitive decline or improvement across five domains in ages 12 to 89 years 11 months.
DIAGNOSTIC_TESTthe Mississippi Aphasia Screening Test
he Mississippi Aphasia Screening Test (MAST) was developed as a brief, repeatable screening measure for individuals with severely impaired communication/language skills.
DIAGNOSTIC_TESTAmnesia Light and Brief Assessment (ALBA)
Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
DIAGNOSTIC_TESTThe Picture naming and immediate recall test (PICNIR)
Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
DIAGNOSTIC_TESTGeriatric Depression Scale (GDS-15)
The Geriatric Depression Scale (GDS-15), used to screen for depression in adults aged 55 and older, consists of 15 items that assess mental health based on feelings over the past week.
DIAGNOSTIC_TESTThe Beck Anxiety Inventory (BAI)
A formative assessment and rating scale of anxiety.
DIAGNOSTIC_TESTDigitial Diagnostics of Dementia (DDD)
Our experimental screening battery developed for this study.
Sponsors
Faculty Hospital Kralovske Vinohrady
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
No
Inclusion criteria
for the group of healthy participants: * age over 45 years * Czech as the native language * must meet the criteria in a questionnaire with questions focused on a history of brain injury or psychiatric history or medication use * must achieve normal scores on questionnaires assessing mood Inclusion Criteria for the group of patients: \- be diagnosed with mild neurocognitive impairment (MCI) or neurocognitive disorder (dementia) according to the international DSM-5 criteria
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The difference in results between groups of patients with cognitive impairment and healthy individuals in individual parts of our experimental neuropsychological battery Diagnostic Test: Digitial Diagnostics of Dementia (DDD) | Through study completion, an average of 2 years |
| Correlation of the results of our experimental battery (DDD) with RBANS | Through study completion, an average of 2 years |
| Correlation of the results of our experimental battery (DDD) with MAST | Through study completion, an average of 2 years |
| Correlation of the results of our experimental battery (DDD) with ALBA | Through study completion, an average of 2 years |
| Correlation of the results of our experimental battery (DDD) with POBAV | Through study completion, an average of 2 years |
Countries
Czechia
Contacts
STUDY_CHAIRLuboš Šmídl, Ing. Ph.D.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
PRINCIPAL_INVESTIGATORJan Švec, Ing. Ph.D.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
PRINCIPAL_INVESTIGATORFilip Polák, Ing.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
STUDY_DIRECTORAleš Bartoš, prof. MUDr. Ph.D.
Fakultní nemocnice Královské Vinohrady
STUDY_DIRECTORMartin Víta, Mgr. Ph.D.
Fyzikální ústav AV ČR, v. v. i.
PRINCIPAL_INVESTIGATORMarie Kompasová, Mgr.
Univerzita Karlova, Fakultní nemocnice Královské Vinohrady
PRINCIPAL_INVESTIGATORMichaela Zapletalová, Mgr.
Univerzita Palackého, Fakultní nemocnice Královské Vinohrady
Outcome results
None listed