Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis
Researchers in the field of child neurology are increasingly looking to supplement clinical trials of motor rehabilitation with neuroimaging in order to better understand the relationship between behavioural training, brain changes, and clinical improvements. Randomised controlled trials are typical...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/50497 |
| _version_ | 1848758486712713216 |
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| author | Reid, L. Pagnozzi, A. Fiori, S. Boyd, Roslyn Dowson, N. Rose, S. |
| author_facet | Reid, L. Pagnozzi, A. Fiori, S. Boyd, Roslyn Dowson, N. Rose, S. |
| author_sort | Reid, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Researchers in the field of child neurology are increasingly looking to supplement clinical trials of motor rehabilitation with neuroimaging in order to better understand the relationship between behavioural training, brain changes, and clinical improvements. Randomised controlled trials are typically accompanied by sample size calculations to detect clinical improvements but, despite the large cost of neuroimaging, not equivalent calculations for concurrently acquired imaging neuroimaging measures of changes in response to intervention. To aid in this regard, a power analysis was conducted for two measures of brain changes that may be indexed in a trial of rehabilitative therapy for cerebral palsy: cortical thickness of the impaired primary sensorimotor cortex, and fractional anisotropy of the impaired, delineated corticospinal tract. Power for measuring fractional anisotropy was assessed for both region-of-interest-seeded and fMRI-seeded diffusion tractography. Taking into account practical limitations, as well as data loss due to behavioural and image-processing issues, estimated required participant numbers were 101, 128 and 59 for cortical thickness, region-of-interest-based tractography, and fMRI-seeded tractography, respectively. These numbers are not adjusted for study attrition. Although these participant numbers may be out of reach of many trials, several options are available to improve statistical power, including careful preparation of participants for scanning using mock simulators, careful consideration of image processing options, and enrolment of as homogeneous a cohort as possible. This work suggests that smaller and moderate sized studies give genuine consideration to harmonising scanning protocols between groups to allow the pooling of data. |
| first_indexed | 2025-11-14T09:44:45Z |
| format | Journal Article |
| id | curtin-20.500.11937-50497 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:44:45Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-504972018-03-29T09:09:37Z Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis Reid, L. Pagnozzi, A. Fiori, S. Boyd, Roslyn Dowson, N. Rose, S. Researchers in the field of child neurology are increasingly looking to supplement clinical trials of motor rehabilitation with neuroimaging in order to better understand the relationship between behavioural training, brain changes, and clinical improvements. Randomised controlled trials are typically accompanied by sample size calculations to detect clinical improvements but, despite the large cost of neuroimaging, not equivalent calculations for concurrently acquired imaging neuroimaging measures of changes in response to intervention. To aid in this regard, a power analysis was conducted for two measures of brain changes that may be indexed in a trial of rehabilitative therapy for cerebral palsy: cortical thickness of the impaired primary sensorimotor cortex, and fractional anisotropy of the impaired, delineated corticospinal tract. Power for measuring fractional anisotropy was assessed for both region-of-interest-seeded and fMRI-seeded diffusion tractography. Taking into account practical limitations, as well as data loss due to behavioural and image-processing issues, estimated required participant numbers were 101, 128 and 59 for cortical thickness, region-of-interest-based tractography, and fMRI-seeded tractography, respectively. These numbers are not adjusted for study attrition. Although these participant numbers may be out of reach of many trials, several options are available to improve statistical power, including careful preparation of participants for scanning using mock simulators, careful consideration of image processing options, and enrolment of as homogeneous a cohort as possible. This work suggests that smaller and moderate sized studies give genuine consideration to harmonising scanning protocols between groups to allow the pooling of data. 2017 Journal Article http://hdl.handle.net/20.500.11937/50497 10.1016/j.ijdevneu.2017.01.010 restricted |
| spellingShingle | Reid, L. Pagnozzi, A. Fiori, S. Boyd, Roslyn Dowson, N. Rose, S. Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title | Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title_full | Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title_fullStr | Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title_full_unstemmed | Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title_short | Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis |
| title_sort | measuring neuroplasticity associated with cerebral palsy rehabilitation: an mri based power analysis |
| url | http://hdl.handle.net/20.500.11937/50497 |