Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Functional magnetic resonance imaging is the most widely used imaging technique to study treatment-induced recovery in post-stroke aphasia. The longitudinal design of such studies adds to the challenges researchers face when studying patient populations with brain damage in cross-sectional settings. The present review focuses on issues specifically relevant to neuroimaging data analysis in aphasia treatment research identified in discussions among international researchers at the Neuroimaging in Aphasia Treatment Research Workshop held at Northstern University (Evanston, Illinois, USA). In particular,  aim to provide the reader with a critical review of unique problems related to the pre-processing, statistical modeling and interpretation of such data sets. Despite the fact that data analysis procedures critically depend on specific design features of a given study,  aim to discuss and communicate a basic set of practical guidelines that should be applicable to a wide range of studies and useful as a reference for researchers pursuing this line of research.
['Marcus Meinzer', 'Pelagie M. Beeson', 'Stefano F. Cappa', 'Jenny Crinion', 'Swathi Kiran', 'Dorothee Saur', 'Todd B. Parrish', 'Bruce Crosson', 'Cynthia K. Thompson']
I am writing a research paper on a idea Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis
[{"from": "human", "value": "I am writing a research paper on a idea Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Functional magnetic resonance imaging is the most widely used imaging technique to study treatment-induced recovery in post-stroke aphasia. The longitudinal design of such studies adds to the challenges researchers face when studying patient populations with brain damage in cross-sectional settings. The present review focuses on issues specifically relevant to neuroimaging data analysis in aphasia treatment research identified in discussions among international researchers at the Neuroimaging in Aphasia Treatment Research Workshop held at Northstern University (Evanston, Illinois, USA). In particular,  aim to provide the reader with a critical review of unique problems related to the pre-processing, statistical modeling and interpretation of such data sets. Despite the fact that data analysis procedures critically depend on specific design features of a given study,  aim to discuss and communicate a basic set of practical guidelines that should be applicable to a wide range of studies and useful as a reference for researchers pursuing this line of research."}]