ArticleBiomedicines2023
Neurophysiological Markers of Premotor-Motor Network Plasticity Predict Motor Performance in Young and Older Adults.
Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 33 citations in OpenAlex.
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- Exploring cortical excitability modulation to promote cognitive resilience in aging: an rTMS study protocol.Frontiers in human neuroscience · 2026Article
- Disentangling the Functional Roles of Premotor-Motor Pathways in Automatic Imitation: A Combined Network-Based Transcranial Stimulation and Drift Diffusion Modeling Approach.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Enhancing Human Action Inhibition Through Cortico-Cortical Paired Associative Stimulation.Annals of the New York Academy of Sciences · 2025Article
- From Biomarkers to Behavior: Mapping the Neuroimmune Web of Pain, Mood, and Memory.Biomedicines · 2025Article
- State-dependent associative plasticity highlights function-specific premotor-motor pathways crucial for arbitrary visuomotor mapping.Science advances · 2025Article
- Repeated spaced paired-associative stimulation to the parietal-motor pathway maintains corticomotor excitability in older adults.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- Reduced parietal to frontal functional connectivity for dynamic balance in late middle-to-older adults.Experimental brain research · 2025Article
- Cortico-Cortical Paired Associative Stimulation (ccPAS) in Ageing and Alzheimer's Disease: A Quali-Quantitative Approach to Potential Therapeutic Mechanisms and Applications.Brain sciences · 2025Article
- Cortisol Imbalance and Fear Learning in PTSD: Therapeutic Approaches to Control Abnormal Fear Responses.Current neuropharmacology · 2025Review
- Comparison of Lower-Limb Muscle Synergies Between Young and Old People During Cycling Based on Electromyography Sensors-A Preliminary Cross-Sectional Study.Sensors (Basel, Switzerland) · 2024Article
- Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry.Cells · 2024Article
- Neurodegeneration in Cognitive Impairment and Mood Disorders for Experimental, Clinical and Translational Neuropsychiatry.Biomedicines · 2024Article
- Targeting Human Glucocorticoid Receptors in Fear Learning: A Multiscale Integrated Approach to Study Functional Connectivity.International journal of molecular sciences · 2024Review
- Move Your Body, Boost Your Brain: The Positive Impact of Physical Activity on Cognition across All Age Groups.Biomedicines · 2023Review
- Editorial: Towards a mechanistic understanding of depression, anxiety, and their comorbidity: perspectives from cognitive neuroscience.Frontiers in behavioral neuroscience · 2023Article
- dsGrid: a dual-site TMS grid-search method for personalized targeting of motor network connectivity.Brain stimulationArticle
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
Abstract
Aging is commonly associated with a decline in motor control and neural plasticity. Tuning cortico-cortical interactions between premotor and motor areas is essential for controlling fine manual movements. However, whether plasticity in premotor-motor circuits predicts hand motor abilities in young and elderly humans remains unclear. Here, we administered transcranial magnetic stimulation (TMS) over the ventral premotor cortex (PMv) and primary motor cortex (M1) using the cortico-cortical paired-associative stimulation (ccPAS) protocol to manipulate the strength of PMv-to-M1 connectivity in 14 young and 14 elderly healthy adults. We assessed changes in motor-evoked potentials (MEPs) during ccPAS as an index of PMv-M1 network plasticity. We tested whether the magnitude of MEP changes might predict interindividual differences in performance in two motor tasks that rely on premotor-motor circuits, i.e., the nine-hole pegboard test and a choice reaction task. Results show lower motor performance and decreased PMv-M1 network plasticity in elderly adults. Critically, the slope of MEP changes during ccPAS accurately predicted performance at the two tasks across age groups, with larger slopes (i.e., MEP increase) predicting better motor performance at baseline in both young and elderly participants. These findings suggest that physiological indices of PMv-M1 plasticity could provide a neurophysiological marker of fine motor control across age-groups.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.