@article{IR,
      author = {Ragothaman, Anjanibhargavi and Mancini, Martina and Nutt,  John and Fair, Damien A. and Horak, Fay B. and Dominguez,  Oscar M.},
      url = {http://digitalcollections.ohsu.edu/record/9242},
      title = {Resting state functional connectivity shows that motor and  non-motor networks predict motor symptoms in Parkinson's  Disease},
      publisher = {Oregon Health and Science University},
      abstract = {PD is a neurodegenerative disorder characterized by motor  dysfunction. Functional MRI offers a unique opportunity to  non-invasively characterize brain function. In this study,  we hypothesized that the motor functions observed in PD may  involve connectivity in higher-level attention networks.  Understanding the resting state functional networks that  correlate with the severity of the motor symptoms would be  valuable to understand the disease physiology. The  objective of this study is to investigate the functional  connectivity network pairs associated with the motor  symptoms in people with Parkinson's disease (pwPD).},
      number = {IR},
      doi = {https://doi.org/10.6083/2514nm24n},
      recid = {9242},
      address = {2021},
}