1
|
Zadeh AK, Sadeghbeigi N, Safakheil H, Setarehdan SK, Alibiglou L. Connecting the dots: Sensory cueing enhances functional connectivity between pre-motor and supplementary motor areas in Parkinson's disease. Eur J Neurosci 2024. [PMID: 38858176 DOI: 10.1111/ejn.16437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/10/2024] [Accepted: 05/26/2024] [Indexed: 06/12/2024]
Abstract
People with Parkinson's disease often exhibit improvements in motor tasks when exposed to external sensory cues. While the effects of different types of sensory cues on motor functions in Parkinson's disease have been widely studied, the underlying neural mechanism of these effects and the potential of sensory cues to alter the motor cortical activity patterns and functional connectivity of cortical motor areas are still unclear. This study aims to compare changes in oxygenated haemoglobin, deoxygenated haemoglobin and correlations among different cortical regions of interest during wrist movement under different external stimulus conditions between people with Parkinson's disease and controls. Ten Parkinson's disease patients and 10 age- and sex-matched neurologically healthy individuals participated, performing repetitive wrist flexion and extension tasks under auditory and visual cues. Changes in oxygenated and deoxygenated haemoglobin in motor areas were measured using functional near-infrared spectroscopy, along with electromyograms from wrist muscles and wrist movement kinematics. The functional near-infrared spectroscopy data revealed significantly higher neural activity changes in the Parkinson's disease group's pre-motor area compared to controls (p = 0.006), and functional connectivity between the supplementary motor area and pre-motor area was also significantly higher in the Parkinson's disease group when external sensory cues were present (p = 0.016). These results indicate that external sensory cues' beneficial effects on motor tasks are linked to changes in the functional connectivity between motor areas responsible for planning and preparation of movements.
Collapse
Affiliation(s)
- Ali K Zadeh
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | | | - Hosein Safakheil
- Department of Neuroscience, School of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Kamaledin Setarehdan
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Laila Alibiglou
- Department of Physical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, Indiana, USA
| |
Collapse
|
2
|
Li X, Jin M, Zhang N, Hongman W, Fu L, Qi Q. Neural correlates of fine motor grasping skills: Longitudinal insights into motor cortex activation using fNIRS. Brain Behav 2024; 14:e3383. [PMID: 38376039 PMCID: PMC10784192 DOI: 10.1002/brb3.3383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/01/2023] [Accepted: 12/20/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Motor learning is essential for performing specific tasks and progresses through distinct stages, including the rapid learning phase (initial skill acquisition), the consolidation phase (skill refinement), and the stable performance phase (skill mastery and maintenance). Understanding the cortical activation dynamics during these stages can guide targeted rehabilitation interventions. METHODS In this longitudinal randomized controlled trial, functional near-infrared spectroscopy was used to explore the temporal dynamics of cortical activation in hand-related motor learning. Thirty-one healthy right-handed individuals were randomly assigned to perform either easy or intricate motor tasks with their non-dominant hand over 10 days. We conducted 10 monitoring sessions to track cortical activation in the right hemisphere (according to lateralization principles, the primary hemisphere for motor control) and evaluated motor proficiency concurrently. RESULTS The study delineated three stages of nondominant hand motor learning: rapid learning (days 1 and 2), consolidation (days 3-7), and stable performance (days 8-10). There was a power-law enhancement of motor skills correlated with learning progression. Sustained activation was observed in the supplementary motor area (SMA) and parietal lobe (PL), whereas activation in the right primary motor cortex (M1R) and dorsolateral prefrontal cortex (PFCR) decreased. These cortical activation patterns exhibited a high correlation with the augmentation of motor proficiency. CONCLUSIONS The findings suggest that early rehabilitation interventions, such as transcranial magnetic stimulation and transcranial direct current stimulation (tDCS), could be optimally directed at M1 and PFC in the initial stages. In contrast, SMA and PL can be targeted throughout the motor learning process. This research illuminates the path for developing tailored motor rehabilitation interventions based on specific stages of motor learning. NEW AND NOTEWORTHY In an innovative approach, our study uniquely combines a longitudinal design with the robustness of generalized estimating equations (GEEs). With the synergy of functional near-infrared spectroscopy (fNIRS) and the Minnesota Manual Dexterity Test (MMDT) paradigm, we precisely trace the evolution of neural resources during complex, real-world fine-motor task learning. Centering on right-handed participants using their nondominant hand magnifies the intricacies of right hemisphere spatial motor processing. We unravel the brain's dynamic response throughout motor learning stages and its potent link to motor skill enhancement. Significantly, our data point toward the early-phase rehabilitation potential of TMS and transcranial direct current stimulation on the M1 and PFC regions. Concurrently, SMA and PL appear poised to benefit from ongoing interventions during the entire learning curve. Our findings carve a path for refined motor rehabilitation strategies, underscoring the importance of timely noninvasive brain stimulation treatments.
Collapse
Affiliation(s)
- Xiaoli Li
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - Minxia Jin
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - Nan Zhang
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - Wei Hongman
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - LianHui Fu
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - Qi Qi
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| |
Collapse
|
3
|
Sousani M, Rojas RF, Preston E, Ghahramani M. Toward a Multi-Modal Brain-Body Assessment in Parkinson's Disease: A Systematic Review in fNIRS. IEEE J Biomed Health Inform 2023; 27:4840-4853. [PMID: 37639416 DOI: 10.1109/jbhi.2023.3308901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Parkinson's disease (PD) causes impairments in cortical structures leading to motor and cognitive symptoms. While common disease management and treatment strategies mainly depend on the subjective assessment of clinical scales and patients' diaries, research in recent years has focused on advances in automatic and objective tools to help with diagnosing PD and determining its severity. Due to the link between brain structure deficits and physical symptoms in PD, objective brain activity and body motion assessment of patients have been studied in the literature. This study aimed to explore the relationship between brain activity and body motion measures of people with PD to look at the feasibility of diagnosis or assessment of PD using these measures. In this study, we summarised the findings of 24 selected papers from the complete literature review using the Scopus database. Selected studies used both brain activity recording using functional near-infrared spectroscopy (fNIRS) and motion assessment using sensors for people with PD in their experiments. Results include 1) the most common study protocol is a combination of single tasks. 2) Prefrontal cortex is mostly studied region of interest in the literature. 3) Oxygenated haemoglobin (HbO 2) concentration is the predominant metric utilised in fNIRS, compared to deoxygenated haemoglobin (HHb). 4) Motion assessment in people with PD is mostly done with inertial measurement units (IMUs) and electronic walkway. 5) The relationship between brain activity and body motion measures is an important factor that has been neglected in the literature.
Collapse
|
4
|
Zhang J, Feng H, Lin J, Zhai H, Shen X. Influence of the constraint-induced method of constraint-induced movement therapy on improving lower limb outcomes after stroke: A meta-analysis review. Front Neurol 2023; 14:1090808. [PMID: 37006479 PMCID: PMC10062389 DOI: 10.3389/fneur.2023.1090808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundConstraint-induced movement therapy (CIMT) targeting the lower limb function uses various methods. The influence of CIMT methods on lower limb outcomes after stroke has rarely been examined.ObjectivesThis study aimed to examine CIMT effects on lower limb outcomes and explore the influence of CIMT methods on treatment effects after stroke, with other potential factors considered as covariates.MethodsPubMed, Web of Science, Cochrane Library, Academic Search Premier via EBSCOHost, and PEDro databases were searched until September 2022. We included randomized control trials with CIMT targeting the lower limb function and dosage-matched active control. The Cochrane risk-of-bias tool was used to evaluate the methodological quality of each study. Hedges' g was used to quantify the effect size of CIMT on outcomes compared to the active control. Meta-analyses were conducted across all studies. A mixed-variable meta-regression analysis was used to investigate the influence of CIMT methods on treatment effects after stroke, with other potential factors considered as covariates.ResultsTwelve eligible randomized controlled trials with CIMT were included in the meta-analysis, where 10 trials were with a low risk of bias. A total of 341 participants with stroke were involved. For the treatment effects on the lower limb function, CIMT showed a moderate short-term effect size [Hedges' g = 0.567; P > 0.05; 95% confidence interval (CI): 0.203–0.931], but a small and insignificant long-term effect size (Hedges' g = 0.470; P > 0.05; 95%CI: −0.173 to 1.112), compared with conventional treatment. The CIMT method of using a weight strapped around the non-paretic leg and the ICF outcome category of the movement function were identified as significant factors contributing to the heterogeneity of short-term effect sizes across studies (β = −0.854 and 1.064, respectively, R2 = 98%, P > 0.05). Additionally, using a weight strapped around the non-paretic leg had a significant contribution to the heterogeneity of long-term effect sizes across studies as well (β = −1.000, R2 = 77%, P > 0.05).ConclusionConstraint-induced movement therapy is superior to conventional treatment for improvement of lower limb function in the short-term but not in the long-term. The CIMT method of using a weight strapped around a non-paretic leg contributed negatively to the treatment effect, and therefore might not be recommended.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021268681.
Collapse
Affiliation(s)
- Jing Zhang
- Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, China
| | - Hongsheng Feng
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Jinpeng Lin
- School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | - Hua Zhai
- Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, China
- Department of Administration, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China
| | - Xia Shen
- Rehabilitation Medicine Research Center, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University School of Medicine, Shanghai, China
- *Correspondence: Xia Shen
| |
Collapse
|
5
|
Wang Y, Yu N, Lu J, Zhang X, Wang J, Shu Z, Cheng Y, Zhu Z, Yu Y, Liu P, Han J, Wu J. Increased Effective Connectivity of the Left Parietal Lobe During Walking Tasks in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:165-178. [PMID: 36872789 PMCID: PMC10041419 DOI: 10.3233/jpd-223564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
BACKGROUND In Parkinson's disease (PD), walking may depend on the activation of the cerebral cortex. Understanding the patterns of interaction between cortical regions during walking tasks is of great importance. OBJECTIVE This study investigated differences in the effective connectivity (EC) of the cerebral cortex during walking tasks in individuals with PD and healthy controls. METHODS We evaluated 30 individuals with PD (62.4±7.2 years) and 22 age-matched healthy controls (61.0±6.4 years). A mobile functional near-infrared spectroscopy (fNIRS) was used to record cerebral oxygenation signals in the left prefrontal cortex (LPFC), right prefrontal cortex (RPFC), left parietal lobe (LPL), and right parietal lobe (RPL) and analyze the EC of the cerebral cortex. A wireless movement monitor was used to measure the gait parameters. RESULTS Individuals with PD demonstrated a primary coupling direction from LPL to LPFC during walking tasks, whereas healthy controls did not demonstrate any main coupling direction. Compared with healthy controls, individuals with PD showed statistically significantly increased EC coupling strength from LPL to LPFC, from LPL to RPFC, and from LPL to RPL. Individuals with PD showed decreased gait speed and stride length and increased variability in speed and stride length. The EC coupling strength from LPL to RPFC negatively correlated with speed and positively correlated with speed variability in individuals with PD. CONCLUSION In individuals with PD, the left prefrontal cortex may be regulated by the left parietal lobe during walking. This may be the result of functional compensation in the left parietal lobe.
Collapse
Affiliation(s)
- Yue Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Ningbo Yu
- College of Artificial Intelligence, Nankai University, Tianjin, China
- Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China
| | - Jiewei Lu
- College of Artificial Intelligence, Nankai University, Tianjin, China
- Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China
| | - Xinyuan Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Jin Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Zhilin Shu
- College of Artificial Intelligence, Nankai University, Tianjin, China
- Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China
| | - Yuanyuan Cheng
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China
| | - Zhizhong Zhu
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China
| | - Yang Yu
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China
| | - Peipei Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jianda Han
- College of Artificial Intelligence, Nankai University, Tianjin, China
- Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China
| | - Jialing Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China
- Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| |
Collapse
|
6
|
Feng H, Jiang Y, Lin J, Qin W, Jin L, Shen X. Cortical activation and functional connectivity during locomotion tasks in Parkinson's disease with freezing of gait. Front Aging Neurosci 2023; 15:1068943. [PMID: 36967824 PMCID: PMC10032375 DOI: 10.3389/fnagi.2023.1068943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/14/2023] [Indexed: 03/29/2023] Open
Abstract
Background Freezing of gait (FoG) is a severely disabling symptom in Parkinson's disease (PD). The cortical mechanisms underlying FoG during locomotion tasks have rarely been investigated. Objectives We aimed to compare the cerebral haemodynamic response during FoG-prone locomotion tasks in patients with PD and FoG (PD-FoG), patients with PD but without FoG (PD-nFoG), and healthy controls (HCs). Methods Twelve PD-FoG patients, 10 PD-nFoG patients, and 12 HCs were included in the study. Locomotion tasks included normal stepping, normal turning and fast turning ranked as three difficulty levels based on kinematic requirements and probability of provoking FoG. During each task, we used functional near-infrared spectroscopy to capture concentration changes of oxygenated haemoglobin (ΔHBO2) and deoxygenated haemoglobin (ΔHHB) that reflected cortical activation, and recorded task performance time. The cortical regions of interest (ROIs) were prefrontal cortex (PFC), supplementary motor area (SMA), premotor cortex (PMC), and sensorimotor cortex (SMC). Intra-cortical functional connectivity during each task was estimated based on correlation of ΔHBO2 between ROIs. Two-way multivariate ANOVA with task performance time as a covariate was conducted to investigate task and group effects on cerebral haemodynamic responses of ROIs. Z statistics of z-scored connectivity between ROIs were used to determine task and group effects on functional connectivity. Results PD-FoG patients spent a nearly significant longer time completing locomotion tasks than PD-nFoG patients. Compared with PD-nFoG patients, they showed weaker activation (less ΔHBO2) in the PFC and PMC. Compared with HCs, they had comparable ΔHBO2 in all ROIs but more negative ΔHHB in the SMC, whereas PD-nFoG showed SMA and PMC hyperactivity but more negative ΔHHB in the SMC. With increased task difficulty, ΔHBO2 increased in each ROI except in the PFC. Regarding functional connectivity during normal stepping, PD-FoG patients showed positive and strong PFC-PMC connectivity, in contrast to the negative PFC-PMC connectivity observed in HCs. They also had greater PFC-SMC connectivity than the other groups. However, they exhibited decreased SMA-SMC connectivity when task difficulty increased and had lower SMA-PMC connectivity than HCs during fast turning. Conclusion Insufficient compensatory cortical activation and depletion of functional connectivity during complex locomotion in PD-FoG patients could be potential mechanisms underlying FoG. Clinical trial registration Chinese clinical trial registry (URL: http://www.chictr.org.cn, registration number: ChiCTR2100042813).
Collapse
Affiliation(s)
- HongSheng Feng
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - YanNa Jiang
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - JinPeng Lin
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - WenTing Qin
- Department of Neurology and Neurological Rehabilitation, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - LingJing Jin
- Department of Neurology and Neurological Rehabilitation, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Xia Shen
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Rehabilitation Medicine Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Xia Shen,
| |
Collapse
|
7
|
Lu J, Wang Y, Shu Z, Zhang X, Wang J, Cheng Y, Zhu Z, Yu Y, Wu J, Han J, Yu N. fNIRS-based brain state transition features to signify functional degeneration after Parkinson's disease. J Neural Eng 2022; 19. [PMID: 35917809 DOI: 10.1088/1741-2552/ac861e] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/01/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Parkinson's disease (PD) is a common neurodegenerative brain disorder, and early diagnosis is of vital importance for treatment. Existing methods are mainly focused on behavior examination, while the functional neurodegeneration after PD has not been well explored. This paper aims to investigate the brain functional variation of PD patients in comparison with healthy controls. APPROACH In this work, we propose brain hemodynamic states and state transition features to signify functional degeneration after PD. Firstly, a functional near-infrared spectroscopy (fNIRS)-based experimental paradigm was designed to capture brain activation during dual-task walking from PD patients and healthy controls. Then, three brain states, named expansion, contraction, and intermediate states, were defined with respect to the oxyhemoglobin and deoxyhemoglobin responses. After that, two features were designed from a constructed transition factor and concurrent variations of oxy- and deoxy-hemoglobin over time, to quantify the transitions of brain states. Further, a support vector machine classifier was trained with the proposed features to distinguish PD patients and healthy controls. RESULTS Experimental results showed that our method with the proposed brain state transition features achieved classification accuracy of 0:8200 and F score of 0:9091, and outperformed existing fNIRS-based methods. Compared with healthy controls, PD patients had significantly smaller transition acceleration and transition angle. SIGNIFICANCE The proposed brain state transition features well signify functional degeneration of PD patients and may serve as promising functional biomarkers for PD diagnosis.
Collapse
Affiliation(s)
- Jiewei Lu
- College of Artificial Intelligence, Nankai University, Haihe Education Park, Tongyan Road No.38, Tianjin, 300350, CHINA
| | - Yue Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, No22.Qixiangtai Rd.,Heping Dist, Tianjin, Tianjin, 300070, CHINA
| | - Zhilin Shu
- College of Artificial Intelligence, Nankai University, Haihe Education Park, Tongyan Road No.38, Tianjin, 300350, CHINA
| | - Xinyuan Zhang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, No22.Qixiangtai Rd.,Heping Dist, Tianjin, 300070, CHINA
| | - Jin Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, No22.Qixiangtai Rd.,Heping Dist, Tianjin, 300070, CHINA
| | - Yuanyuan Cheng
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, No.122, Qixiangtai Road, Hexi District, Tianjin, 300060, CHINA
| | - Zhizhong Zhu
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin Huanhu Hospital, No.122, Qixiangtai Road, Hexi District, Tianjin, 300060, CHINA
| | - Yang Yu
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin Huanhu Hospital, No.122, Qixiangtai Road, Hexi District, Tianjin, 300060, CHINA
| | - Jialing Wu
- Department of Neurology, Tianjin Huanhu Hospital, No.122, Qixiangtai Road, Hexi District, Tianjin, 300060, CHINA
| | - Jianda Han
- College of Artificial Intelligence, Nankai University, Haihe Education Park, Tongyan Road No.38, Tianjin, 300350, CHINA
| | - Ningbo Yu
- College of Artificial Intelligence, Nankai University, Haihe Education Park, Tongyan Road No.38, Tianjin, 300350, CHINA
| |
Collapse
|
8
|
Hortobágyi T, Vetrovsky T, Balbim GM, Sorte Silva NCB, Manca A, Deriu F, Kolmos M, Kruuse C, Liu-Ambrose T, Radák Z, Váczi M, Johansson H, Dos Santos PCR, Franzén E, Granacher U. The impact of aerobic and resistance training intensity on markers of neuroplasticity in health and disease. Ageing Res Rev 2022; 80:101698. [PMID: 35853549 DOI: 10.1016/j.arr.2022.101698] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To determine the effects of low- vs. high-intensity aerobic and resistance training on motor and cognitive function, brain activation, brain structure, and neurochemical markers of neuroplasticity and the association thereof in healthy young and older adults and in patients with multiple sclerosis, Parkinson's disease, and stroke. DESIGN Systematic review and robust variance estimation meta-analysis with meta-regression. DATA SOURCES Systematic search of MEDLINE, Web of Science, and CINAHL databases. RESULTS Fifty studies with 60 intervention arms and 2283 in-analyses participants were included. Due to the low number of studies, the three patient groups were combined and analyzed as a single group. Overall, low- (g=0.19, p = 0.024) and high-intensity exercise (g=0.40, p = 0.001) improved neuroplasticity. Exercise intensity scaled with neuroplasticity only in healthy young adults but not in healthy older adults or patient groups. Exercise-induced improvements in neuroplasticity were associated with changes in motor but not cognitive outcomes. CONCLUSION Exercise intensity is an important variable to dose and individualize the exercise stimulus for healthy young individuals but not necessarily for healthy older adults and neurological patients. This conclusion warrants caution because studies are needed that directly compare the effects of low- vs. high-intensity exercise on neuroplasticity to determine if such changes are mechanistically and incrementally linked to improved cognition and motor function.
Collapse
Affiliation(s)
- Tibor Hortobágyi
- Center for Human Movement Sciences, University of Groningen Medical Center, Groningen, the Netherlands; Somogy County Kaposi Mór Teaching Hospital, Kaposvár, Hungary; Department of Sport Biology, Institute of Sport Sciences and Physical Education, University of Pécs, Hungary; Division of Training and Movement Sciences, Research Focus Cognition Sciences, University of Potsdam, Potsdam, Germany; Hungarian University of Sports Science, Department of Kinesiology, Budapest, Hungary.
| | - Tomas Vetrovsky
- Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic
| | - Guilherme Moraes Balbim
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Nárlon Cássio Boa Sorte Silva
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Andrea Manca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Franca Deriu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Unit of Endocrinology, Nutritional and Metabolic Disorders, AOU Sassari, Sassari, Italy
| | - Mia Kolmos
- Neurovascular Research Unit, Department of Neurology, Herlev Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Christina Kruuse
- Neurovascular Research Unit, Department of Neurology, Herlev Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Zsolt Radák
- Research Center of Molecular Exercise Science, Hungarian University of Sport Science, Budapest, Hungary
| | - Márk Váczi
- Department of Sport Biology, Institute of Sport Sciences and Physical Education, University of Pécs, Hungary
| | - Hanna Johansson
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | | | - Erika Franzén
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Urs Granacher
- Division of Training and Movement Sciences, Research Focus Cognition Sciences, University of Potsdam, Potsdam, Germany
| |
Collapse
|