There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Muskan Kothari |
| Institution: | PES University |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | Alzheimer’s Disease(AD) affects one in ten adults over 65 years old in the United States (Alzheimer’s Association, 2015) and is as common as AD and is important to detect in earlier stages A similar disease of dementia - Frontotemporal Dementia(FTD) can jeopardise the appropriate diagnosis and medication for a patient with cognitive impairment Acetylcholinesterase inhibitors widely used in patients with AD could lead to worsening of symptoms in those with FTD . Therefore, our problem statement aims to tackle the necessity of an early stage accurate diagnosis from a differentiating perspective of FTD and AD and the reduction of misdiagnosis is of essential utility in clinical trials. We aim for our developed model to: Extract linguistic features from audio transcripts of a patient and detect cognitive impairment using the DementiaBank speech dataset. Use the multimodality data of MRI and PET scan images to differentiate AD from FTLD. We would use weighted probabilities in both methods and return the result of the approach having the highest accuracy. |
| Additional Investigators | |
| Investigator's Name: | Darshil Shah |
| Proposed Analysis: | Alzheimer’s Disease(AD) affects one in ten adults over 65 years old in the United States (Alzheimer’s Association, 2015) and is as common as AD and is important to detect in earlier stages A similar disease of dementia - Frontotemporal Dementia(FTD) can jeopardise the appropriate diagnosis and medication for a patient with cognitive impairment Acetylcholinesterase inhibitors widely used in patients with AD could lead to worsening of symptoms in those with FTD . Therefore, our problem statement aims to tackle the necessity of an early stage accurate diagnosis from a differentiating perspective of FTD and AD and the reduction of misdiagnosis is of essential utility in clinical trials. We aim for our developed model to: Extract linguistic features from audio transcripts of a patient and detect cognitive impairment Use the multimodality data of MRI and PET scan images to differentiate AD from FTLD. We would use weighted probabilities in both methods and return the result of the approach having the highest accuracy. |
| Investigator's Name: | Swasthi Rao |
| Proposed Analysis: | Alzheimer’s Disease(AD) affects one in ten adults over 65 years old in the United States (Alzheimer’s Association, 2015) and is as common as AD and is important to detect in earlier stages A similar disease of dementia - Frontotemporal Dementia(FTD) can jeopardise the appropriate diagnosis and medication for a patient with cognitive impairment Acetylcholinesterase inhibitors widely used in patients with AD could lead to worsening of symptoms in those with FTD . Therefore, our problem statement aims to tackle the necessity of an early stage accurate diagnosis from a differentiating perspective of FTD and AD and the reduction of misdiagnosis is of essential utility in clinical trials. We aim for our developed model to: Extract linguistic features from audio transcripts of a patient and detect cognitive impairment Use the multimodality data of MRI and PET scan images to differentiate AD from FTLD. We would use weighted probabilities in both methods and return the result of the approach having the highest accuracy. |
| Investigator's Name: | Moulya T |
| Proposed Analysis: | Alzheimer’s Disease(AD) affects one in ten adults over 65 years old in the United States (Alzheimer’s Association, 2015) and is as common as AD and is important to detect in earlier stages A similar disease of dementia - Frontotemporal Dementia(FTD) can jeopardise the appropriate diagnosis and medication for a patient with cognitive impairment Acetylcholinesterase inhibitors widely used in patients with AD could lead to worsening of symptoms in those with FTD . Therefore, our problem statement aims to tackle the necessity of an early stage accurate diagnosis from a differentiating perspective of FTD and AD and the reduction of misdiagnosis is of essential utility in clinical trials. We aim for our developed model to: Extract linguistic features from audio transcripts of a patient and detect cognitive impairment Use the multimodality data of MRI and PET scan images to differentiate AD from FTLD. We would use weighted probabilities in both methods and return the result of the approach having the highest accuracy. |
| Investigator's Name: | Jayashree R |
| Proposed Analysis: | Alzheimer’s Disease(AD) affects one in ten adults over 65 years old in the United States (Alzheimer’s Association, 2015) and is as common as AD and is important to detect in earlier stages A similar disease of dementia - Frontotemporal Dementia(FTD) can jeopardise the appropriate diagnosis and medication for a patient with cognitive impairment Acetylcholinesterase inhibitors widely used in patients with AD could lead to worsening of symptoms in those with FTD . Therefore, our problem statement aims to tackle the necessity of an early stage accurate diagnosis from a differentiating perspective of FTD and AD and the reduction of misdiagnosis is of essential utility in clinical trials. We aim for our developed model to: Extract linguistic features from audio transcripts of a patient and detect cognitive impairment Use the multimodality data of MRI and PET scan images to differentiate AD from FTLD. We would use weighted probabilities in both methods and return the result of the approach having the highest accuracy. |
