Poster Session A, Saturday, March 23, 1:30 pm - 3:30 pm, Pacific Concourse
Compensatory Neural Networks for Object Memory Recognition in Early Parkinson’s Disease
Brenda Hanna-Pladdy1, Li Jiang1, Samantha Williams1, Paul Fishman1, Rao Gullapalli1; 1University of Maryland School of Medicine, Baltimore
Cardinal features of idiopathic Parkinson’s disease (PD) include motor features, although non-motor features such as cognitive impairment are common early in the disease process and can dominate in advanced stages creating significant disability. The neural mechanisms mediating variable cognitive deficits and their progression in PD are poorly understood. To evaluate the utility of task-activated fMRI as a probe for mild cognitive deficits, we evaluated early stage PD patients on a novel object memory task. Patients were evaluated with an fMRI event-related memory task using fractal images to examine neural patterns during encoding, immediate and delayed object recognition. BOLD patterns across memory conditions displayed agreement with previously established object memory literature. However, PD patients with lower memory performance recruited additional frontal regions bilaterally during delayed recognition. These findings are consistent with previously reported frontally mediated recruitment in aging for memory compensation prior to significant cognitive deficits. Further investigation of compensatory networks has potential to elucidate variability in cognitive performance in aging and neurodegeneration, and allow for early detection of patients at risk for future cognitive progression.
Topic Area: LONG-TERM MEMORY: Development & aging