fNIRS-Id Biomarkers of PD
Research type
Research Study
Full title
The Application of Near Infrared Spectroscopy as a Functional Imaging Tool in Parkinson’s Disease: A Study to Identify Disease and Treatment Biomarkers, and Guide Deep Brain Stimulation Programming
IRAS ID
316662
Contact name
Harith Akram
Contact email
Sponsor organisation
University College London
Duration of Study in the UK
2 years, 9 months, 1 days
Research summary
We will use fNIRS in 25 healthy age matched controls and 25 patients undergoing subthalamic DBS for PD at NHNN (50 participants) to establish: 1) the fNIRS signature of PD compared to controls; 2) the effect of levodopa on cortical blood flow in PD; 3) the effect of DBS (ON vs OFF) on cortical blood flow; and lastly 4) The effect of DBS using optimal settings vs suboptimal settings. Our ultimate aim is to generate machine learning models that can predict response to treatment and guide programming. We will build a complete platform with software and hardware that can be used in the clinic. This work will introduce fNIRS as a new research and clinical tool in the field of DBS and if successful, will open the door to future similar studies focusing on other neurological and neuropsychiatric conditions treated with DBS.
REC name
North West - Liverpool Central Research Ethics Committee
REC reference
23/NW/0225
Date of REC Opinion
16 Aug 2023
REC opinion
Further Information Favourable Opinion