Abstract

The Cognitive and Behavioral Core will provide psychometric assessments of neuropsychological functions for all projects. In addition, this Core will provide complementary support in the following two synergistic domains: (1) design, analysis, and development of novel cognitive neuropsychological tasks that will be used to assess the functionality ofthe fronto-striatal circuits impacted by Parkinson's disease (PD) and its treatment, and (2) neurocomputational and mathematical models of the fronto-striatal circuits for feedbackdriven reinforcement learning and neuro-economic decision making. These models will inform the development of new behavioral tasks and will provide behavioral measures to inform the analysis of the brain imaging data collected from these tasks.

Public Health Relevance

The interdisciplinary integration of these cognitive and behavioral neuroscience methods into the proposed brain imaging and clinical aims is part of what will make this Center uniquely capable of furthering our understanding ofthe neural systems mediating higher cognitive functioning in PD patients.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
5P50NS071675-05
Application #
8742003
Study Section
Special Emphasis Panel (ZNS1-SRB-E)
Project Start
Project End
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
5
Fiscal Year
2014
Total Cost
$102,357
Indirect Cost
$19,349

  Institution

Name
Feinstein Institute for Medical Research
Department
Type
DUNS #
110565913
City
Manhasset
State
NY
Country
United States
Zip Code
11030

  Publications

Argyelan, Miklos; Herzallah, Mohammad; Sako, Wataru et al. (2018) Dopamine modulates striatal response to reward and punishment in patients with Parkinson's disease: a pharmacological challenge fMRI study. Neuroreport 29:532-540
Ko, Ji Hyun; Spetsieris, Phoebe G; Eidelberg, David (2018) Network Structure and Function in Parkinson's Disease. Cereb Cortex 28:4121-4135
Nazem, Amir; Tang, Chris C; Spetsieris, Phoebe et al. (2018) A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia. Alzheimers Dement (Amst) 10:583-594
Ge, Jingjie; Wu, Jianjun; Peng, Shichun et al. (2018) Reproducible network and regional topographies of abnormal glucose metabolism associated with progressive supranuclear palsy: Multivariate and univariate analyses in American and Chinese patient cohorts. Hum Brain Mapp 39:2842-2858
Lerner, Renata P; Francardo, Veronica; Fujita, Koji et al. (2017) Levodopa-induced abnormal involuntary movements correlate with altered permeability of the blood-brain-barrier in the basal ganglia. Sci Rep 7:16005
Hendershott, Taylor R; Zhu, Delphine; Llanes, Seoni et al. (2017) Domain-specific accuracy of the Montreal Cognitive Assessment subsections in Parkinson's disease. Parkinsonism Relat Disord 38:31-34
Jourdain, Vincent A; Schindlbeck, Katharina A; Tang, Chris C et al. (2017) Increased putamen hypercapnic vasoreactivity in levodopa-induced dyskinesia. JCI Insight 2:
Tomše, Petra; Jensterle, Luka; Rep, Sebastijan et al. (2017) The effect of 18F-FDG-PET image reconstruction algorithms on the expression of characteristic metabolic brain network in Parkinson's disease. Phys Med 41:129-135
Ng, Bernard; Varoquaux, Gael; Poline, Jean Baptiste et al. (2017) Distinct alterations in Parkinson's medication-state and disease-state connectivity. Neuroimage Clin 16:575-585
Vo, An; Sako, Wataru; Fujita, Koji et al. (2017) Parkinson's disease-related network topographies characterized with resting state functional MRI. Hum Brain Mapp 38:617-630

Showing the most recent 10 out of 47 publications