Motor-Related Mu/Beta Rhythm in Older Adults: A Comprehensive Review

Inamoto, Takashi; Ueda, Mitsutoshi; Ueno, Keita; Shiroma, China; Morita, Rin; Naito, Yasuo; Ishii, Ryouhei

doi:10.3390/brainsci13050751

Cited by 11 publications

(4 citation statements)

References 135 publications

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“…Moreover, another publication found that beta coherence in the unlesioned hemisphere had a negative correlation with FMA-UL ( Simis et al, 2016 ). We highlight that, from the variables tested, only age was a confounder in the model, which may be explained by structural and functionally changes related to aging, what is reflected in neurophysiological measures ( Inamoto et al, 2023 ). Also, the lack of significance of the variables tested as confounders may be related to the limitation of statistical power.…”

Section: Discussionmentioning

confidence: 98%

Neurophysiological biomarkers of motor improvement from Constraint-Induced Movement Therapy and Robot-Assisted Therapy in participants with stroke

Simis,

Thibaut,

Imamura

et al. 2023

Front. Hum. Neurosci.

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BackgroundThe mechanism of stroke recovery is related to the reorganization of cerebral activity that can be enhanced by rehabilitation therapy. Two well established treatments are Robot-Assisted Therapy (RT) and Constraint-Induced Movement Therapy (CIMT), however, it is unknown whether there is a difference in the neuroplastic changes induced by these therapies, and if the modifications are related to motor improvement. Therefore, this study aims to identify neurophysiological biomarkers related to motor improvement of participants with chronic stroke that received RT or CIMT, and to test whether there is a difference in neuronal changes induced by these two therapies.MethodsThis study included participants with chronic stroke that took part in a pilot experiment to compare CIMT vs. RT. Neurophysiological evaluations were performed with electroencephalography (EEG) and transcranial magnetic stimulation (TMS), pre and post rehabilitation therapy. Motor function was measured by the Wolf Motor Function Test (WMFT) and Fugl-Meyer Assessment Upper Limb (FMA-UL).ResultsTwenty-seven participants with chronic stroke completed the present study [mean age of 58.8 years (SD ± 13.6), mean time since stroke of 18.2 months (SD ± 9.6)]. We found that changes in motor threshold (MT) and motor evoked potential (MEP) in the lesioned hemisphere have a positive and negative correlation with WMFT improvement, respectively. The absolute change in alpha peak in the unlesioned hemisphere and the absolute change of the alpha ratio (unlesioned/lesioned hemisphere) is negatively correlated with WMFT improvement. The decrease of EEG power ratio (increase in the lesioned hemisphere and decrease in the unlesioned hemisphere) for high alpha bandwidths is correlated with better improvement in WMFT. The variable “type of treatment (RT or CIMT)” was not significant in the models.ConclusionOur results suggest that distinct treatments (RT and CIMT) have similar neuroplastic mechanisms of recovery. Moreover, motor improvements in participants with chronic stroke are related to decreases of cortical excitability in the lesioned hemisphere measured with TMS. Furthermore, the balance of both EEG power and EEG alpha peak frequency in the lesioned hemisphere is related to motor improvement.

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Section: Discussionmentioning

confidence: 98%

Neurophysiological biomarkers of motor improvement from Constraint-Induced Movement Therapy and Robot-Assisted Therapy in participants with stroke

Simis,

Thibaut,

Imamura

et al. 2023

Front. Hum. Neurosci.

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“…In particular, the observation of increased power in the Somatomotor network matches previous whole-brain analysis indicating motor regions as those with higher differences in beta power between young and older cohorts (Heinrichs-Graham and Wilson, 2016). Changes in beta power at rest are thought to index age-related changes in GABAergic inhibition (Inamoto et al, 2023; Rossiter et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Functionally annotated electrophysiological neuromarkers of healthy ageing and memory function

Auer,

Goldthorpe,

Peach

et al. 2023

Preprint

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The unprecedented increase in life expectancy presents a unique opportunity and the necessity to explore both healthy and pathological aspects of ageing. Electroencephalography (EEG) has been widely used to identify neuromarkers of cognitive ageing due to its affordability and richness in information. However, despite the growing volume of data and methodological advancements, the abundance of contradictory and non-reproducible findings has hindered clinical translation. To address these challenges, our study introduces a comprehensive workflow expanding on previous EEG studies and investigates various static and dynamic power and connectivity estimates as potential neuromarkers of cognitive ageing in a large dataset. We also assess the robustness of our findings by testing their susceptibility to band specification. Finally, we characterise our findings using functionally annotated brain networks to improve their interpretability and multi-modal integration.Our analysis demonstrates the effect of methodological choices on findings and that dynamic rather than static neuromarkers are not only more sensitive but also more robust. Consequently, they emerge as strong candidates for cognitive ageing neuromarkers. Moreover, we were able to replicate the most established EEG findings in cognitive ageing, such as alpha oscillation slowing, increased beta power, reduced reactivity across multiple bands, and decreased delta connectivity. Additionally, when considering individual variations in alpha band, we clarified that alpha power is characteristic of memory performance rather than ageing, highlighting its potential as a neuromarker for cognitive ageing. Finally, our approach using functionally annotated source reconstruction allowed us to provide insights into domain-specific electrophysiological mechanisms underlying memory performance and ageing.

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“…Recently, the beta band has been found to be involved in emotion and long-term memory tasks [64]. However, the beta frequency band is mainly considered the default rhythm of the sensorimotor system, tightly associated with motor processes [65][66][67]. Beta oscillations are found in almost all structures involved in motor processes, including muscles, dorsal and basal ganglia, and cortex.…”

Section: Discussionmentioning

confidence: 99%

Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study

Dattola,

Bonanno,

Ielo

et al. 2023

Bioengineering

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The neural underpinnings of mental calculation, the fundamentals of arithmetic representations and processes, and the development of arithmetic abilities have been explored by researchers over the years. In the present work, we report a study that analyzes the brain-activated areas of a group of 35 healthy subjects (9 males, 26 females, mean age ± SD = 18.23 ± 2.20 years) who performed a serial subtraction arithmetic task. In contrast to most of the studies in the literature based on fMRI, we performed the brain active source reconstruction starting from EEG signals by means of the eLORETA method. In particular, the subjects were classified as bad counters or good counters, according to the results of the task, and the brain activity of the two groups was compared. The results were statistically significant only in the beta band, revealing that the left limbic lobe was found to be more active in people showing better performance. The limbic lobe is involved in visuospatial processing, memory, arithmetic fact retrieval, and emotions. However, the role of the limbic lobe in mental arithmetic has been barely explored, so these interesting findings could represent a starting point for future in-depth analyses. Since there is evidence in the literature that the motor system is affected by the execution of arithmetic tasks, a more extensive knowledge of the brain activation associated with arithmetic tasks could be exploited not only for the assessment of mathematical skills but also in the evaluation of motor impairments and, consequently, in rehabilitation for motor disorders.

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Motor-Related Mu/Beta Rhythm in Older Adults: A Comprehensive Review

Cited by 11 publications

References 135 publications

Neurophysiological biomarkers of motor improvement from Constraint-Induced Movement Therapy and Robot-Assisted Therapy in participants with stroke

Neurophysiological biomarkers of motor improvement from Constraint-Induced Movement Therapy and Robot-Assisted Therapy in participants with stroke

Functionally annotated electrophysiological neuromarkers of healthy ageing and memory function

Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study

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