We have successfully characterized a three-node resting state fMRI network that underlies language processing. In addition to equivalents of well-known Broca’s and Wernicke’s areas, this three-node network, shows stronger connectivity in the left hemisphere (Hurley et al., 2015) and specifically includes the left anterior temporal lobe, a critical region important in specific name retrieval. Based upon the resting state fMRI network and its expanded connectivity, we are examining network impairment in individuals with PPA. This project is funded by a 5 year K23 (career development) award from National Institutes of Health (NIH). Results related to first aim of the grant were published in March 2017 (Bonakdarpour, et al., 2017), where we showed that in persons with mild PPA resting state fMRI network connectivity was impaired, even in the absence of structural changes. Resting state fMRI, therefore, seems to have a promising ability to help us understand abnormal network connectivity in PPA individuals and can complement structural evaluations using brain MRI. Results from our area of study will help locate targets for neuromodulatory treatments such as Transcranial Magnetic Stimulation (TMS), and better evaluate the effect of therapeutic interventions.
For a list of publications from this lab, please click here.
MATLAB Scripts for Resting State fMRI Analysis (Written by Hernando Fereira)