{"title":"Using a Functional Upper Limb Motor Task to Predict Cognitive and Functional Decline in Mild Cognitive Impairment and Alzheimer's Disease.","authors":"Vincent Koppelmans, Kevin Duff, Sydney Y Schaefer","doi":"10.1177/15459683241309591","DOIUrl":"10.1177/15459683241309591","url":null,"abstract":"<p><strong>Background: </strong>Predicting the rate of cognitive and functional decline over the course of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) is vital for advancing clinical care and research initiatives.</p><p><strong>Objectives: </strong>The current study examined if a functional upper limb motor task could predict 1-year change in cognition (Mini Mental Status Examination [MMSE]) and daily function (Quick Dementia Rating System [QDRS]) from a sample of 61 cognitively intact, 35 MCI, and 32 AD subjects.</p><p><strong>Results: </strong>Analyses adjusted for age, sex, and education showed that performance speed and variability on the motor task significantly predicted change in performance on the MMSE and QDRS over 1 year, and that these effects were small to medium in size (η<sup>2</sup> = 0.04-0.05).</p><p><strong>Conclusion: </strong>These results suggest the potential of a simple motor task to estimate disease progression in MCI and AD, which could be used to provide additional clinical resources for and enrich clinical trials with those most likely to decline.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"226-229"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922660/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiming Xia, Min Cai, Yiyue Zhou, Yi Yao, Maorong Jiang, Dandan Gu, Dengbing Yao
{"title":"Immune Cell Biology in Peripheral Nervous System Injury.","authors":"Yiming Xia, Min Cai, Yiyue Zhou, Yi Yao, Maorong Jiang, Dandan Gu, Dengbing Yao","doi":"10.1177/15459683241304325","DOIUrl":"10.1177/15459683241304325","url":null,"abstract":"<p><strong>Background: </strong>The peripheral nervous system (PNS) exhibits remarkable regenerative capability after injury. PNS regeneration relies on neurons themselves as well as a variety of other cell types, including Schwann cells, immune cells, and non-neuronal cells.</p><p><strong>Objectives: </strong>This paper focuses on summarizing the critical roles of immune cells (SCs) in the injury and repair processes of the PNS.</p><p><strong>Results: </strong>During peripheral nerve injury, macrophages infiltrate the site under the induction of various cytokines, primarily accumulating at the dorsal root ganglia (DRG) and the nerve distal to the injury site, with only a small number detected at the nerve proximal to the injury site. The phenotype of macrophages during injury remains controversial, but recent single-cell sequencing analyses may provide new insights. In peripheral nervous system injury, macrophages participate in Wallerian degeneration as well as in the reconstruction of nerve bridges and angiogenesis during axonal regeneration. Neutrophils appear early in the injury process and are primarily present at the injury site and the distal segment. After peripheral nervous system injury, immature neutrophils from the peripheral blood play a major role. Although lymphocytes constitute only a small fraction compared to macrophages and neutrophils after peripheral nervous system injury, they still play important roles, including Treg cells, B cells, and NK cells. A large number of immune cells accumulate at the injury site, contributing not only to Wallerian degeneration but also to axonal regeneration.</p><p><strong>Conclusion: </strong>In conclusion, this paper summarizes current knowledge regarding the mechanisms of immune cell infiltration after PNS injury, providing new insights for future research on the role of immune cells in peripheral nerve injury.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"230-240"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of Repetitive Transcranial Magnetic Stimulation on Poststroke Hemineglect: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.","authors":"Fu-An Yang, Chueh-Ho Lin, Hung-Ning Chung, Yi-Chun Kuan, Reuben Escorpizo, Hung-Chou Chen","doi":"10.1177/15459683241309572","DOIUrl":"10.1177/15459683241309572","url":null,"abstract":"<p><p>BackgroundAlthough various repetitive transcranial magnetic stimulation (rTMS) and theta burst stimulation (TBS) protocols are used, their comparative effectiveness for treating poststroke hemineglect remains unassessed.ObjectiveTo investigate rTMS and TBS effects on clinical outcomes in poststroke hemineglect through a systematic review and network meta-analysis.MethodsWe searched PubMed, EMBASE, and Cochrane Library databases up to March 7, 2024, for trials on rTMS or TBS in poststroke hemineglect. Included studies involved rTMS or TBS with different protocols, sham, or no stimulation, assessing hemineglect severity or impact. The quality of the included studies was evaluated using the PEDro scale. The network meta-analysis was performed using ShinyNMA (version 1.01).ResultsWe analyzed 13 studies with 309 participants. All studies included participants who had experienced right hemisphere stroke. All included studies had a fair to good quality based on PEDro score evaluation. Protocols included continuous TBS (cTBS), high-frequency rTMS (HF-rTMS), and low-frequency rTMS (LF-rTMS) targeting both contralesional and lesional sites. HF-rTMS on the lesional site significantly improved short-term results on the line bisection test and Catherine Bergego Scale; LF-rTMS on the contralesional site improved short-term line bisection; and cTBS on the contralesional site improved long-term line bisection. No severe adverse events or significant inconsistencies were reported.ConclusionsOur findings indicate that HF-rTMS targeting the lesional site is the preferred therapeutic approach for the short-term management of poststroke hemineglect. LF-rTMS directed at the contralesional site is a practical alternative. Moreover, cTBS targeting the contralesional site is a viable option because of its long-term effect.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"190-201"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eman M Khedr, Nourelhoda A Haridy, Mohammad A Korayem, Ahmed Mamdouh Tawfik, Ahmed A Hamed
{"title":"In PD, Non-Invasive Trans-Spinal Magnetic Stimulation Enhances the Effect of Transcranial Magnetic Stimulation on Axial Motor Symptoms: A Double-Blind Randomized Clinical Trial.","authors":"Eman M Khedr, Nourelhoda A Haridy, Mohammad A Korayem, Ahmed Mamdouh Tawfik, Ahmed A Hamed","doi":"10.1177/15459683241300547","DOIUrl":"10.1177/15459683241300547","url":null,"abstract":"<p><strong>Background: </strong>Axial symptoms in Parkinson's disease (PD) often respond poorly to pharmacological treatment. We evaluated whether combining repetitive transcranial magnetic stimulation (rTMS) and repetitive spinal magnetic stimulation (rSMS) is more effective than rTMS alone in improving axial and other motor disabilities in PD.</p><p><strong>Methods: </strong>A total of 42 PD patients with axial symptoms were randomly allocated to 2 experimental intervention groups: Group I received active rTMS + active rSMS (2000 pulses; 20 Hz; 80% resting motor threshold for each motor area \"M1\" + 1500 pulses rSMS 10 Hz, at 50% of maximal stimulator output). Group II received active rTMS + sham rSMS with the same number of pulses. Both groups received 10 sessions (5 consecutive days/week for 2 weeks). Assessments using Freezing of Gait Questionnaire, walking speed, Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) parts II and III, and Parkinson's Disease Questionaire-39 (PDQ-39) were performed at baseline (T0), end of sessions (T1), and 1 month later (T2).</p><p><strong>Results: </strong>At T0, Group II showed higher walking speed. At T1 and T2, Group I demonstrated significantly greater improvements in MDS-UPDRS parts II, III, and sub-items of part III. Group I showed stronger improvement in TUG-T and average fast velocity immediately post-intervention, but this effect diminished after 1 month. PDQ-39 scores for leisure activity and walking problems were significantly higher in group I.</p><p><strong>Conclusions: </strong>These findings indicate that combining rTMS and rSMS for 10 sessions is more effective than rTMS alone in managing PD's motor and axial symptoms. The effect size of the outcome is large enough to be of significance in clinical practice.</p><p><strong>Trial registration: </strong>The study was registered prospectively on 26/12/2021 at the clinicaltrial.gov website with the registration ID: NCT05271513, https://clinicaltrials.gov/study/NCT05271513.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"126-137"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142809001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Helin Zheng, Shuang Ding, Ningning Chen, Zhongxin Huang, Lu Tian, Hao Li, Longlun Wang, Tingsong Li, Jinhua Cai
{"title":"Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging.","authors":"Helin Zheng, Shuang Ding, Ningning Chen, Zhongxin Huang, Lu Tian, Hao Li, Longlun Wang, Tingsong Li, Jinhua Cai","doi":"10.1177/15459683241287187","DOIUrl":"10.1177/15459683241287187","url":null,"abstract":"<p><strong>Background: </strong>The prognosis of prolonged disorders of consciousness (pDoC) in children has consistently posed a formidable challenge in clinical decision-making.</p><p><strong>Objective: </strong>This study aimed to develop a machine learning (ML) model based on conventional structural magnetic resonance imaging (csMRI) to predict outcomes in children with pDoC.</p><p><strong>Methods: </strong>A total of 196 children with pDoC were included in this study. Based on the consciousness states 1 year after brain injury, the children were categorized into either the favorable prognosis group or the poor prognosis group. They were then randomly assigned to the training set (n = 138) or the test set (n = 58). Semi-quantitative visual assessments of brain csMRI were conducted and Least Absolute Shrinkage and Selection Operator regression was used to identify significant features predicting outcomes. Based on the selected features, support vector machine (SVM), random forests (RF), and logistic regression (LR) were used to develop csMRI, clinical, and csMRI-clinical-merge models, respectively. Finally, the performances of all models were evaluated.</p><p><strong>Results: </strong>Seven csMRI features and 4 clinical features were identified as important predictors of consciousness recovery. All models achieved satisfactory prognostic performances (all areas under the curve [AUCs] >0.70). Notably, the csMRI model developed using the SVM exhibited the best performance, with an AUC, accuracy, sensitivity, and specificity of 0.851, 0.845, 0.844, and 0.846, respectively.</p><p><strong>Conclusions: </strong>A csMRI-based prediction model for the prognosis of children with pDoC was developed, showing potential to predict recovery of consciousness 1 year after brain injury and is worth popularizing in clinical practice.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"91-101"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jason K Longhurst, Andrew Hooyman, Merrill R Landers, Martina Mancini, Erika Franzén, Breiffni Leavy, Hanna Johansson, Daniel Peterson
{"title":"Discordance Between Balance Ability and Perception Is Associated With Falls in Parkinson's Disease: A Coordinated Analysis.","authors":"Jason K Longhurst, Andrew Hooyman, Merrill R Landers, Martina Mancini, Erika Franzén, Breiffni Leavy, Hanna Johansson, Daniel Peterson","doi":"10.1177/15459683241300456","DOIUrl":"10.1177/15459683241300456","url":null,"abstract":"<p><strong>Background: </strong>The congruence or discordance between actual and perceived balance ability has been proposed to be linked to functional outcomes such as falls. However, gaps remain in our ability to quantify discordance, and its relationship to relevant outcomes.</p><p><strong>Objective: </strong>To investigate a novel quantification of concordance/discordance between balance performance and perception and determine the relationship to falls among people with Parkinson's disease (PwPD).</p><p><strong>Methods: </strong>Data from 244 PwPD were aggregated from 5 previously conducted studies. Variables extracted included age, sex, Activities-Specific Balance Confidence scale (ABC; perceived balance), Timed Up and Go (TUG; balance performance), Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS-UPDRS) part III scores, and retrospective falls (6- or 12-month). Data validation between studies was established. Discordance was quantified as the difference between an individual's predicted ABC, based upon their TUG score, to their reported ABC.</p><p><strong>Results: </strong>Two methods for calculating discordance were tested: simple linear regression and segmented regression. As there were no differences between the bootstrap distributions of both approaches (<i>P</i> = .520), simple linear regression was utilized for the subsequent logistic regression model. Discordance was the only statistically significant predictor of fall status (OR = 0.98, <i>P</i> = .003), after controlling for age, MDS-UPDRS part III, sex, and TUG. The inclusion of discordance in the logistic regression model boosted the predictive accuracy by 58%.</p><p><strong>Conclusions: </strong>Discordance between actual and perceived balance was uniquely related to retrospective fall history among PwPD. Clinicians and researchers should consider discordance between actual and perceived balance as a potentially modifiable target to minimize falls.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"114-125"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caroline M Rajda, Katrina Desabrais, Mindy F Levin
{"title":"Relationships Between Cognitive Impairments and Motor Learning After Stroke: A Scoping Review.","authors":"Caroline M Rajda, Katrina Desabrais, Mindy F Levin","doi":"10.1177/15459683241300458","DOIUrl":"10.1177/15459683241300458","url":null,"abstract":"<p><strong>Background: </strong>Stroke is one of the leading causes of chronic disability worldwide. Sensorimotor recovery relies on principles of motor learning for the improvement of movement and sensorimotor function after stroke. Motor learning engages several cognitive processes to effectively learn and retain new motor skills. However, cognitive impairments are common and often coexist with motor impairments after stroke. The specific relationships between poststroke cognitive impairments and motor learning have not been determined.</p><p><strong>Objectives: </strong>To summarize the existing evidence related to cognitive impairments and motor learning after stroke. Specific goals were to determine: (1) how motor learning is studied in individuals with poststroke cognitive impairments; (2) how cognitive impairments are assessed; (3) which cognitive domains impact motor learning.</p><p><strong>Results: </strong>Over 400 studies were screened for specific inclusion criteria and 19 studies that related poststroke cognitive impairments to motor learning were included. Studies used a wide variety of experimental designs, sample sizes, and measures for cognitive evaluation. Cognitive impairments impacting motor improvement and learning capacity after stroke were reported in all but 4 studies. The most common domains impacting motor learning were attention, executive function, and memory.</p><p><strong>Conclusion: </strong>Detailed cognitive assessments, retention testing, and a combination of clinical and kinematic outcomes are recommended for future studies. The presence of specific cognitive impairments measured with sensitive instruments should be considered when designing effective training interventions for patients with stroke to maximize sensorimotor recovery.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"142-156"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11849258/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142741804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dimitrios J Palidis, Zoe Gardiner, Amelia Stephenson, Kevin Zhang, Jill Boruff, Lesley K Fellows
{"title":"The Use of Extrinsic Performance Feedback and Reward to Enhance Upper Limb Motor Behavior and Recovery Post-Stroke: A Scoping Review.","authors":"Dimitrios J Palidis, Zoe Gardiner, Amelia Stephenson, Kevin Zhang, Jill Boruff, Lesley K Fellows","doi":"10.1177/15459683241298262","DOIUrl":"10.1177/15459683241298262","url":null,"abstract":"<p><strong>Background: </strong>During post-stroke motor rehabilitation, patients often receive feedback from therapists or via rehabilitation technologies. Research suggests that feedback may benefit motor performance, skill acquisition, and action selection. However, there is no consensus on how extrinsic feedback should be implemented during stroke rehabilitation to best leverage specific neurobehavioral mechanisms to optimize recovery.</p><p><strong>Objective: </strong>To identify the existing evidence and research gaps regarding the effects of extrinsic feedback on upper extremity motor function in stroke survivors, and to map the evidence onto neurobehavioral concepts of motor performance, motor learning, and action selection.</p><p><strong>Methods: </strong>The MEDLINE, PsychInfo, EMBASE, and CINHAL databases were searched for relevant articles. A sequential screening process and data extraction were performed by 2 independent reviewers, and the results were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews guidelines.</p><p><strong>Results: </strong>A total of 29 studies were identified that met the criteria for inclusion. Beneficial effects of feedback were reported for clinical outcomes of rehabilitation interventions as well as motor performance, motor learning, and action selection post-stroke. Three studies showed that the addition of rewarding elements to positive performance feedback benefited learning or recovery.</p><p><strong>Conclusions: </strong>Extrinsic feedback has the potential to improve outcomes of stroke rehabilitation through effects on motor performance, motor learning, or action selection. To understand how these specific neurobehavioral processes contribute to recovery, clinical trials should include more granular behavioral measures. Rewarding feedback may be particularly beneficial, but more research is needed regarding the specific implementation of feedback.</p>","PeriodicalId":94158,"journal":{"name":"Neurorehabilitation and neural repair","volume":" ","pages":"157-173"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11849245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142809003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}