Ischemic stroke of the middle cerebral artery (MCA), a major brain vessel that supplies the primary motor and premotor cortex, is one of the most common causes for severe upper limb impairment. Currently available motor rehabilitation training largely lacks satisfying efficacy with over 70% of stroke survivors showing residual upper limb dysfunction. Motor imagery-based functional magnetic resonance imaging neurofeedback (fMRI-NF) has been suggested as a potential therapeutic technique to improve motor impairment in stroke survivors. In this preregistered proof-of-concept study (https://osf.io/y69jc/), we translated graded fMRI-NF training, a new paradigm that we have previously studied in healthy participants, to first-time MCA stroke survivors with residual mild to severe impairment of upper limb motor function. Neurofeedback was provided from the supplementary motor area (SMA) targeting two different neurofeedback target levels (low and high). We hypothesized that MCA stroke survivors will show (1) sustained SMA-region of interest (ROI) activation and (2) a difference in SMA-ROI activation between low and high neurofeedback conditions during graded fMRI-NF training. At the group level, we found only anecdotal evidence for these preregistered hypotheses. At the individual level, we found anecdotal to moderate evidence for the absence of the hypothesized graded effect for most subjects. These null findings are relevant for future attempts to employ fMRI-NF training in stroke survivors. The study introduces a Bayesian sequential sampling plan, which incorporates prior knowledge, yielding higher sensitivity. The sampling plan was preregistered together with hypotheses and all planned analysis before data collection to address potential publication/researcher biases. Unforeseen difficulties in the translation of our paradigm to a clinical setting required some deviations from the preregistered protocol. We explicitly detail these changes, discuss the accompanied additional challenges that can arise in clinical neurofeedback studies, and formulate recommendations for how these can be addressed. Taken together, this work provides new insights about the feasibility of motor imagery-based graded fMRI-NF training in MCA stroke survivors and serves as a first example for comprehensive study preregistration of an (fMRI) neurofeedback experiment.
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http://dx.doi.org/10.3389/fnhum.2020.00226 | DOI Listing |
J Neurol Phys Ther
December 2024
Department of Physical Therapy, Motor Control Laboratory (LADECOM), Centre of Healthy and Sport Sciences, University of Santa Catarina State, Florianópolis, Santa Catarina, Brazil.
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View Article and Find Full Text PDFNeurourol Urodyn
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Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Introduction: Detrusor contractions can be classified as either volitional or involuntary. The latter are a hallmark of urge urinary incontinence. Understanding differences in neuroactivation associated with both types of contractions can help elucidate pathophysiology and therapeutic targets.
View Article and Find Full Text PDFBMC Nurs
December 2024
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Stroke is considered one of the leading causes of both mortality and morbidity on a global scale. The significant impact on the health and quality of life of stroke survivors and their caregivers is well-acknowledged due to the stressful consequences of dependency and the need for home care. This study aims to examine the impact of online training utilizing a stroke educational program on the patient's quality of life and their caregivers' care burden.
View Article and Find Full Text PDFAnn Rehabil Med
December 2024
Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
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View Article and Find Full Text PDFExp Neurol
December 2024
Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai 50200, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand. Electronic address:
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