Neural Networks and Language Recovery in Aphasia From Stroke: fMRI Studies
|Aphasia Nonfluent Aphasia Stroke|
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Official Title:||Neural Networks and Language Recovery in Aphasia From Stroke: fMRI Studies|
- Cerebral Activation in the Left and Right Brain Hemispheres [ Time Frame: Out to 6 months, from baseline entry ]Cerebral Activation in the Left and Right Brain Hemispheres
|Actual Study Start Date:||October 1, 1999|
|Estimated Study Completion Date:||December 1, 2018|
|Primary Completion Date:||December 1, 2016 (Final data collection date for primary outcome measure)|
Chronic Stroke patients with Nonfluent Aphasia
patients with left hemisphere (LH) stroke who have chronic nonfluent aphasia
PURPOSE: The purpose of this 4-year fMRI research is to study brain reorganization for language in patients with left hemisphere (LH) stroke who have chronic nonfluent aphasia. This fMRI research is fundamental and critical to the PI's NIH RO1 grant, Transcranial Magnetic Stimulation (TMS) to Improve Speech in nonfluent aphasia, which was recently renewed for 5 years, 2006-11. There is no overlap in the studies. The NIH grant provides the TMS (real and sham). This VA grant provides 4 different fMRI tasks performed pre- and post- a series of TMS treatments (real and sham) - Overt Naming fMRI; Overt Propositional Speech fMRI; and Nonverbal Semantic Decision tasks for Nouns, and for Actions.
The investigators have observed that application of TMS to an anterior portion of right (R) Broca's homologue (pars triangularis, PTr), results in significantly improved picture naming ability at 2 and 8 Mo. after the last (10th) TMS treatment, in aphasia patients who began TMS at 5-11 years poststroke. Also, half of these nonfluent aphasia patients improved their Phrase Length in propositional speech, post-TMS.
RATIONALE: The investigators and others have observed that patients with chronic, nonfluent aphasia (poor, hesitant speech) have overactivation of R hemisphere (RH) cortical language homologues. The investigators hypothesize this represents a maladaptive plasticity and probably poor active inhibition during speech. Slow, 1 Hz TMS can be used to suppress cortical excitability. The goal is to use 1 Hz TMS to inhibit/suppress the overactivation in RH language homologues. The investigators' early TMS research has shown that suppression of R PTr in these patients is associated with improved speech. The fMRI studies proposed in this VA grant will help to investigate the neurophysiological changes underlying improvement post- TMS in propositional speech and in nonverbal semantic decision tasks. The new MRI technique, diffusion tensor imaging (DTI) will be used to study WM pathways subjacent to cortex treated with TMS.
DESIGN: Randomized, sham-control, incomplete crossover design with 32 patients (16 mild-moderate; 16 severe nonfluent), half receive real TMS series only; half, sham TMS 1st, and real 2nd. Language, Neuropsych. testing, and fMRIs are performed at Entry, and at 2 Mo. post-10 real or sham TMS treatments; and at 6 Mo. post real. There are 4 Projects: 1) fMRI during overt naming and propositional speech (Overt Picture Naming and Picture Descriptions/Story Telling; 2) fMRI during a Nonverbal Semantic Decision Task with Superordinate Noun Icons; 3) fMRI during a Nonverbal Semantic Decision Task with Action and Object Icons; 4) DTI. DTI is performed only at Entry (all subjects). Normal controls (n=8) do not receive TMS; they are studied with fMRI at Entry, at 2 and 6 Mo. later.
HYPOTHESES: Following the real TMS to suppress R PTr, there will be less overactivation on fMRI (better modulation) in RH language homologues, and new LH activation (including L perilesional areas and L SMA). This will be associated with improved propositional speech (BDAE) and nonverbal semantic decision ability at 2 and 6 Mo. post-real TMS. No language or fMRI changes are expected post-sham TMS. The fMRIs performed 3x with the normal controls are not expected to show change, but will document the neural networks for the fMRI tasks.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00467103
|United States, Massachusetts|
|VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MA|
|Boston, Massachusetts, United States, 02130|
|Principal Investigator:||Margaret Naeser, PhD||VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MA|