1
|
Inamoto T, Ueda M, Ueno K, Shiroma C, Morita R, Naito Y, Ishii R. Motor-Related Mu/Beta Rhythm in Older Adults: A Comprehensive Review. Brain Sci 2023; 13:brainsci13050751. [PMID: 37239223 DOI: 10.3390/brainsci13050751] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/23/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Mu rhythm, also known as the mu wave, occurs on sensorimotor cortex activity at rest, and the frequency range is defined as 8-13Hz, the same frequency as the alpha band. Mu rhythm is a cortical oscillation that can be recorded from the scalp over the primary sensorimotor cortex by electroencephalogram (EEG) and magnetoencephalography (MEG). The subjects of previous mu/beta rhythm studies ranged widely from infants to young and older adults. Furthermore, these subjects were not only healthy people but also patients with various neurological and psychiatric diseases. However, very few studies have referred to the effect of mu/beta rhythm with aging, and there was no literature review about this theme. It is important to review the details of the characteristics of mu/beta rhythm activity in older adults compared with young adults, focusing on age-related mu rhythm changes. By comprehensive review, we found that, compared with young adults, older adults showed mu/beta activity change in four characteristics during voluntary movement, increased event-related desynchronization (ERD), earlier beginning and later end, symmetric pattern of ERD and increased recruitment of cortical areas, and substantially reduced beta event-related desynchronization (ERS). It was also found that mu/beta rhythm patterns of action observation were changing with aging. Future work is needed in order to investigate not only the localization but also the network of mu/beta rhythm in older adults.
Collapse
Affiliation(s)
- Takashi Inamoto
- Graduate School of Comprehensive Rehabilitation, Osaka Prefecture University, Osaka 583-8555, Japan
- Faculty of Health Sciences, Kansai University of Health Sciences, Osaka 590-0482, Japan
| | - Masaya Ueda
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
| | - Keita Ueno
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
| | - China Shiroma
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
| | - Rin Morita
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
| | - Yasuo Naito
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
| | - Ryouhei Ishii
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Osaka 583-8555, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| |
Collapse
|
2
|
Lockhart AK, Sharpley CF, Bitsika V. Mu Desynchronisation in Autistic Individuals: What We Know and What We Need to Know. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2023. [DOI: 10.1007/s40489-023-00354-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
AbstractAutism spectrum disorder (ASD) is a neurodevelopmental condition that includes social-communication deficits and repetitive and stereotypical behaviours (APA 2022). Neurobiological methods of studying ASD are a promising methodology for identifying ASD biomarkers. Mu rhythms (Mu) have the potential to shed light on the socialisation deficits that characterise ASD; however, Mu/ASD studies thus far have yielded inconsistent results. This review examines the existing Mu/ASD studies to determine where this variability lies to elucidate potential factors that can be addressed in future studies.
Collapse
|
3
|
Yates L, Hobson H. Continuing to look in the mirror: A review of neuroscientific evidence for the broken mirror hypothesis, EP-M model and STORM model of autism spectrum conditions. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2020; 24:1945-1959. [PMID: 32668956 PMCID: PMC7539595 DOI: 10.1177/1362361320936945] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The mirror neuron system has been argued to be a key brain system responsible for action understanding and imitation. Subsequently, mirror neuron system dysfunction has therefore been proposed to explain the social deficits manifested within autism spectrum condition, an approach referred to as the broken mirror hypothesis. Despite excitement surrounding this hypothesis, extensive research has produced insufficient evidence to support the broken mirror hypothesis in its pure form, and instead two alternative models have been formulated: EP-M model and the social top-down response modulation (STORM) model. All models suggest some dysfunction regarding the mirror neuron system in autism spectrum condition, be that within the mirror neuron system itself or systems that regulate the mirror neuron system. This literature review compares these three models in regard to recent neuroscientific investigations. This review concludes that there is insufficient support for the broken mirror hypothesis, but converging evidence supports an integrated EP-M and STORM model.
Collapse
|
4
|
Ikeda Y, Nishimura Y, Shin N, Higuchi S. A study of EEG mu neurofeedback during action observation. Exp Brain Res 2020; 238:1277-1284. [PMID: 32303811 DOI: 10.1007/s00221-020-05808-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 04/10/2020] [Indexed: 11/29/2022]
Abstract
The mirror system is a brain network that gets activated during action performance and observation. Brain mu waves have been used as a mirror system activity index; however, mu rhythm is prone to contamination by occipital alpha wave activity, thus raising a concern regarding its reliability as an index of the mirror system activity. In this study, we investigated whether mu suppression can be used as an index of neurofeedback training, which influences mirror system activities. Participants observed videos of hand movement under three different conditions: central mu feedback (muFB), occipital alpha feedback (aFB), and simple observation without any feedback (OBS). Results showed that at the 4-5 min mark, mu wave was most significantly suppressed in the central site at muFB. We thus demonstrated the possibility of increasing mu wave suppression in feedback training using a specific stimulus such as motion observation.
Collapse
Affiliation(s)
- Yuki Ikeda
- Graduate School of Integrated Frontier Sciences, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, Japan. .,Research Fellow of the Japan Society for the Promotion of Science, Kojimachi Business Center Building, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.
| | - Yuki Nishimura
- Graduate School of Integrated Frontier Sciences, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, Japan.,Research Fellow of the Japan Society for the Promotion of Science, Kojimachi Business Center Building, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.,National Institute of Occupational Safety and Health, Nagao 6-21-1, Tama-ku, Kawasaki, 214-8585, Japan
| | - Nakyeong Shin
- Graduate School of Integrated Frontier Sciences, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, Japan
| | - Shigekazu Higuchi
- Faculty of Design, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, Japan
| |
Collapse
|
5
|
Brunsdon VEA, Bradford EEF, Ferguson HJ. Sensorimotor mu rhythm during action observation changes across the lifespan independently from social cognitive processes. Dev Cogn Neurosci 2019; 38:100659. [PMID: 31132663 PMCID: PMC6688050 DOI: 10.1016/j.dcn.2019.100659] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 05/10/2019] [Accepted: 05/13/2019] [Indexed: 12/19/2022] Open
Abstract
The observation of actions performed by another person activates parts of the brain as if the observer were performing that action, referred to as the 'mirror system'. Very little is currently known about the developmental trajectory of the mirror system and related social cognitive processes. This experimental study sought to explore the modulation of the sensorimotor mu rhythm during action observation using EEG measures, and how these may relate to social cognitive abilities across the lifespan, from late childhood through to old age. Three-hundred and one participants aged 10- to 86-years-old completed an action observation EEG task and three additional explicit measures of social cognition. As predicted, findings show enhanced sensorimotor alpha and beta desynchronization during hand action observation as compared to static hand observation. Overall, our findings indicate that the reactivity of the sensorimotor mu rhythm to the observation of others' actions increases throughout the lifespan, independently from social cognitive processes.
Collapse
|
6
|
Debnath R, Salo VC, Buzzell GA, Yoo KH, Fox NA. Mu rhythm desynchronization is specific to action execution and observation: Evidence from time-frequency and connectivity analysis. Neuroimage 2018; 184:496-507. [PMID: 30248457 DOI: 10.1016/j.neuroimage.2018.09.053] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 09/10/2018] [Accepted: 09/18/2018] [Indexed: 11/29/2022] Open
Abstract
Mu desynchronization is the attenuation of EEG power in the alpha frequency range recorded over central scalp locations thought to reflect motor cortex activation. Mu desynchronization during observation of an action is believed to reflect mirroring system activation in humans. However, this notion has recently been questioned because, among other reasons, the potential contamination of mu rhythm and occipital alpha activity induced by attention processes following presentation of visual stimuli in observation conditions. This study examined the validity of mu desynchronization as a measure of mirroring system activation in infants and further investigated the pattern of functional connectivity between the central and occipital regions during execution and observation of movement. EEG was recorded while 46 9-month-old infants executed grasping actions and observed an experimenter grasping. Current source density (CSD) was applied to EEG data and, time-frequency and connectivity analyses were performed in CSD transformed data. Mu desynchronization was evident over central regions during both execution and observation of movements. Independent alpha desynchronization over occipital region was also present in both conditions. The connectivity analyses revealed that central-occipital areas were functionally more connected compared to other areas of the brain during observation of movements. Collectively, the results demonstrate the validity of mu desynchronization as an index of infant mirroring system activity and support the proposal of a functional connection between distinct mirroring and attention processes during observation of action.
Collapse
Affiliation(s)
- Ranjan Debnath
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, 20742, MD, USA.
| | - Virginia C Salo
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, 20742, MD, USA
| | - George A Buzzell
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, 20742, MD, USA
| | - Kathryn H Yoo
- MIND Institute, University of California, Davis, CA, 95616, USA
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, 20742, MD, USA
| |
Collapse
|