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AI based analysis of functional MRI to understand brain degeneration in Dementia

Deep Learning Model Optimization for early diagnosis of dementia Disorders using resting state functional MRI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/02/031278
Enrollment
525
Registered
2021-02-15
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: F02- Dementia in other diseases classified elsewhere

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

Dr Rimjhim Agrawal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients must be age 45 or older. 2. Patients must have a history of progressive memory impairment. A. MoCA score B. Patient must fall into either of the 3 categories as per DSM-5 criteria - MCI, AD, FTD 4. Patients must have a caregiver who is willing to accompany the subject to the hospital.

Exclusion criteria

Exclusion criteria: 1. Pregnant women - Women of childbearing potential will be screened by history for the possibility of pregnancy. 2. Any other cause of dementia apart from the ones mentioned in the inclusion criteria (for eg.: drug-induced dementia, pseudodementia, etc.) 3. History of delirium, recent head injury, stroke or epilepsy. 4. Any medical contraindication to the procedures performed in the study, or any current severe medical or psychiatric illness other than the diseases included above. 5. Behavioral symptoms that would preclude the gathering of data for the study, or advanced disease such that subjects cannot provide assent based on the following: Modified MINI Scale (MMS) Clinical Dementia Rating Scale(CDR) score (if greater than or equal to 3) MoCA less than 26

Design outcomes

Primary

MeasureTime frame
Build a Machine Learning model to distinguish between Alzheimers Disease (AD) and Frontotemporal Dementia (FTD) and identify connectivity patterns indicative of Mild Cognitive Impairment (MCI) using resting state functional MRI (rs-fMRI)Timepoint: 1 year data collection 3 months optimization of ML

Secondary

MeasureTime frame
Assess the efficacy of machine learning models to differentiate between AD and FTD as well as to detect structural signs of MCI using structural MRI and DTI features.Timepoint: 6 months

Countries

India

Contacts

Public ContactDr Rimjhim Agrawal

BrainSight Technology Private Limited

rimjhim.agrawal@brainsightai.com

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026