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Petro NM, Livermore CL, Springer SD, Okelberry HJ, John JA, Glesinger R, Horne LK, Embury CM, Spooner RK, Taylor BK, Picci G, Wilson TW. Oscillatory brain dynamics underlying affective face processing. Soc Cogn Affect Neurosci 2025; 20:nsaf047. [PMID: 40324903 PMCID: PMC12094162 DOI: 10.1093/scan/nsaf047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 03/24/2025] [Accepted: 04/30/2025] [Indexed: 05/07/2025] Open
Abstract
Facial expressions are ubiquitous and highly reliable social cues. Decades of research has shown that affective faces undergo facilitated processing across a distributed brain network. However, few studies have examined the multispectral brain dynamics underlying affective face processing, which is surprising given the multiple brain regions and rapid temporal dynamics thought to be involved. Herein, we used magnetoencephalography to derive dynamic functional maps of angry, neutral, and happy face processing in healthy adults. We found stronger theta oscillations shortly after the onset of affective relative to neutral faces (0-250 ms), within distributed ventral visual and parietal cortices, and the anterior hippocampus. Early gamma oscillations (100-275 ms) were strongest for angry faces in the inferior parietal lobule, temporoparietal junction, and presupplementary motor cortex. Finally, beta oscillations (175-575 ms) were stronger for neutral relative to affective expressions in the middle occipital and fusiform cortex. These results are consistent with the literature in regard to the critical brain regions, and delineate a distributed network where multispectral oscillatory dynamics support affective face processing through the rapid merging of low-level visual inputs to interpret the emotional meaning of each facial expression.
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Affiliation(s)
- Nathan M Petro
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Cooper L Livermore
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Seth D Springer
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
- College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, United States
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Jason A John
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Ryan Glesinger
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Lucy K Horne
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Christine M Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
| | - Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE 68178, United States
| | - Giorgia Picci
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE 68178, United States
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, United States
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE 68178, United States
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Zhang X, Huang M, Yuan X, Zhong X, Dai S, Wang Y, Zhang Q, Wongwitwichote K, Jiang C. Lifespan trajectories of motor control and neural oscillations: A systematic review of magnetoencephalography insights. Dev Cogn Neurosci 2025; 72:101529. [PMID: 39938146 PMCID: PMC11870221 DOI: 10.1016/j.dcn.2025.101529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 02/07/2025] [Accepted: 02/07/2025] [Indexed: 02/14/2025] Open
Abstract
Motor control (MC) evolves across the human lifespan, improving during childhood and adolescence, stabilizing in early adulthood, and declining in older age. These developmental and degenerative patterns are linked to neural oscillatory activity, which can be assessed via magnetoencephalography (MEG) to gain insights into motor planning, execution, termination, and command initiation. This review systematically examined age-related changes in MC and neural oscillations, centering on movement-related beta desynchronization (MRBD), post-movement beta rebound (PMBR), and movement-related gamma synchrony (MRGS). Following PRISMA guidelines, 17 cross-sectional studies were identified. The findings revealed significant enhancements in motor efficiency from childhood to adolescence, characterized by faster movement speed, shorter movement duration, weaker MRBD, and increased PMBR and MRGS. From adolescence to early adulthood, further improvements in motor performance were noted, accompanied by strengthened MRBD, PMBR, and a slight decline in MRGS. In older adults, motor performance deteriorates, presenting as slower movement and prolonged duration, alongside heightened resting beta power, elevated MRBD, and reduced PMBR. Alterations in MRGS remain insufficiently explored. Overall, MEG proves valuable for capturing neural dynamics underlying the development and decline of motor control across the lifespan. These findings underscore potential avenues for motor rehabilitation and cognitive interventions, particularly in aging populations.
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Affiliation(s)
- Xinbi Zhang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Mingming Huang
- School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Xiaoxia Yuan
- The School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Xiaoke Zhong
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Physical Education and Sport Science, Fujian Normal University, No. 18, Wulongjiang Middle Avenue, Shangjie Town, Minhou County, Fuzhou 350108, China
| | - Shengyu Dai
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Physical Education and Sport Science, Fujian Normal University, No. 18, Wulongjiang Middle Avenue, Shangjie Town, Minhou County, Fuzhou 350108, China
| | - Yingying Wang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Qiang Zhang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China
| | - Kanya Wongwitwichote
- The School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Changhao Jiang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing 100191, China; School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing 100191, China.
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Huang PJ, Arif Y, Rempe MP, Son JJ, John JA, McDonald KM, Petro NM, Garrison GM, Okelberry HJ, Kress KA, Picci G, Wilson TW. High-definition transcranial direct-current stimulation of left primary motor cortices modulates beta and gamma oscillations serving motor control. J Physiol 2025; 603:1627-1644. [PMID: 40009440 DOI: 10.1113/jp287085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 01/29/2025] [Indexed: 02/27/2025] Open
Abstract
Recent studies have linked non-invasive transcranial direct-current stimulation (tDCS) with altered neural processing near the site of stimulation and across a distributed network of brain regions, with some evidence for a possible therapeutic role. However, negative results also exist and the potential impacts on motor-related neural oscillations have rarely been studied. Herein, we applied high-definition tDCS to the left primary motor cortex of 62 healthy adults in three sessions (anodal, cathodal and sham). Participants then performed a motor task with two conditions (i.e. cognitive interference and no interference) during magnetoencephalography (MEG). The MEG data were imaged in the time-frequency domain and whole-brain, voxel-wise maps were probed for task condition and stimulation effects. Our results indicated the classic pattern of slower behavioural responses and stronger neural oscillations in frontal and parietal cortices during interference relative to no-interference trials. Importantly, we found task condition-by-stimulation interactions involving motor-related gamma oscillations, with weaker interference effects after cathodal stimulation relative to anodal and sham in the right prefrontal, left temporoparietal junction and left cerebellar cortices. Conversely, stronger gamma interference responses were found in the right motor and superior parietal cortices following anodal relative to cathodal and sham. Lastly, main effects of stimulation indicated stronger beta oscillations following anodal stimulation in the left supplementary motor area. Taken together, these data provide key mechanistic insight into the polarity-specific effects of tDCS on the neural oscillatory dynamics serving motor control. Such findings reflect the modulatory effects of tDCS on population-level neural oscillatory responses distant from the stimulation site. KEY POINTS: Neurophysiological studies have indicated that beta and gamma oscillations are critical to motor control and that their dynamics are modulated by higher-order features of the task. Recent investigations have shown that transcranial direct-current stimulation (tDCS) affects neural activity both locally and in brain regions distant from the stimulation site, but the mechanisms remain poorly understood. Sixty-two adults underwent anodal, cathodal and sham high-definition tDCS of the left motor cortices and completed a motor task with two levels of cognitive interference during magnetoencephalography (MEG). Task condition by stimulation-type interactions on movement-related gamma oscillations were observed across a distributed network of higher-order brain regions, including parietal cortices, right prefrontal and left temporoparietal junction. In sum, our results indicate polarity-specific effects on beta and gamma oscillations across a distributed network of brain regions that contribute to motor control in the context of interference and hold implications for understanding the therapeutic capacity of tDCS.
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Affiliation(s)
- Peihan J Huang
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Maggie P Rempe
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Jason A John
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Kellen M McDonald
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Nathan M Petro
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Grant M Garrison
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Kennedy A Kress
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Giorgia Picci
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
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Sabater-Gárriz Á, Mingorance JA, Mestre-Sansó F, Canals V, Bleyenheuft Y, Montoya P, Riquelme I. Affective touch enhances low gamma activity during hand proprioceptive perception in children with different neurodevelopmental conditions. Front Hum Neurosci 2025; 19:1538428. [PMID: 40007885 PMCID: PMC11850360 DOI: 10.3389/fnhum.2025.1538428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Accepted: 01/21/2025] [Indexed: 02/27/2025] Open
Abstract
Background Gamma wave activity in the sensorimotor cortex is a critical neural mechanism associated with proprioceptive processing, which is essential for motor coordination, balance, and spatial orientation. The modulation of gamma oscillations by different types of tactile stimuli, including affective touch, is not well understood, particularly in children with neurodevelopmental disorders such as cerebral palsy and autism spectrum disorder. Aims This study aims to explore how affective touch influences gamma oscillatory activity and proprioceptive performance in children with typical development, cerebral palsy and autism spectrum disorders. Methods and procedures EEG data were recorded from participants during passive wrist mobilizations under three conditions: following an affective touch stimulus, after a non-affective touch stimulus, and with no tactile stimulation. Time-frequency analysis of low gamma activity (30-45 Hz) on the left somatosensory cortex was conducted for each condition. Proprioceptive performance was assessed through participants' accuracy in identifying wrist positions. Proprioception and pleasantness of affective and non-affective touch were also assessed. Results Affective touch increased proprioceptive gamma power density. Children with cerebral palsy had poorer proprioception and higher brain gamma power density for processing movement than children with typical development or autism, and their proprioception worsened with non-affective touch. Conclusion and implications These findings highlight the potential of affective touch to modulate gamma oscillatory activity and enhance proprioceptive function, particularly in children with cerebral palsy. The results underscore the importance of incorporating emotionally meaningful sensory inputs in therapeutic interventions to support proprioceptive and motor function in children with neurodevelopmental disorders.
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Affiliation(s)
- Álvaro Sabater-Gárriz
- Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Balearic ASPACE Foundation, Marratxí, Spain
| | - José Antonio Mingorance
- Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Francesc Mestre-Sansó
- Industrial Engineering and Construction Department, University of the Balearic Islands, Palma, Spain
| | | | - Yannick Bleyenheuft
- Institute of Neuroscience, Université catholique de Louvain, Brussels, Belgium
| | - Pedro Montoya
- Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Inmaculada Riquelme
- Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma de Mallorca, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
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Zhang L, Zhang L, Wang J, Zhu Y. Frontal Cortex Acts as Causality Transition Hub from Mirror Network to Mentalizing Network During Action Intention Understanding. Brain Connect 2025; 15:3-18. [PMID: 39602238 DOI: 10.1089/brain.2024.0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2024] Open
Abstract
Introduction: While understanding other's action intention, mirror and mentalizing systems of human brain are successively activated in action perception and intention inference processes. Methods: To reveal the relationship between mirror and mentalizing systems during the two stages, this electroencephalogram study adopted the method of time-varying orthogonalized partial directed coherence (OPDC) to assess causal interaction between mirror and mentalizing networks during a "hand-cup interaction" action intention understanding task. Results: Task-related causal connectivity was found in gamma frequency band (30-45 Hz), primarily manifested as directed edges from sensorimotor to frontal areas in poststimulus 400-600 ms interval and directed links from frontal to parietal and temporal regions in 600-800 ms period. The analysis of event-related potential and source currents suggests that the change of inter-regional causality is related with functional transition of the brain from mirror matching to intention inference. The OPDC network modeling further finds that frontal area contains more inflow nodes in mirror network, whereas more outflow nodes in mentalizing network, with high betweenness centrality in temporally changing functional communities. Compared with intention-oriented actions, identification of unintelligible action intention particularly induces stronger OPDC from right superior frontal to inferior frontal gyrus and from sensorimotor to right frontotemporal regions during mentalizing inference process. Conclusion: These findings collectively suggest that, in the time ordering of information transfer within the directed networks, frontal area plays an important role of bridging hub between mirror and mentalizing systems, from maintaining and supervising perceptual information for mirror matching to controlling the mentalizing process for decoding other's action intention.
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Affiliation(s)
- Li Zhang
- School of Early-Childhood Education, Nanjing Xiaozhuang University, Nanjing, PR China
| | - Lei Zhang
- School of Early-Childhood Education, Nanjing Xiaozhuang University, Nanjing, PR China
- Department of Rheumatology and Immunology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, PR China
| | - Jing Wang
- School of Computer Science and Information Technology, Xinyang Normal University, Xinyang, PR China
| | - Yanmei Zhu
- School of Early-Childhood Education, Nanjing Xiaozhuang University, Nanjing, PR China
- Ministry of Education, Key Laboratory of Child Development and Learning Science (Southeast University), Nanjing, PR China
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Son JJ, Arif Y, Okelberry HJ, Johnson HJ, Willett MP, Wiesman AI, Wilson TW. Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network. NPJ AGING 2024; 10:54. [PMID: 39580466 PMCID: PMC11585575 DOI: 10.1038/s41514-024-00182-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 11/09/2024] [Indexed: 11/25/2024]
Abstract
Research has shown age-related declines in cognitive control in the context of interference, but these studies have focused on frontoparietal networks and less is known about impacts on motor response-related dynamics in the face of distractors. Thus, we examined whether healthy aging affected connectivity between attention networks and motor circuitry using a multisource interference task and magnetoencephalography in 72 healthy-aging participants (28-63 years-old). Our results indicated stronger beta connectivity with increasing age between bilateral primary motor (M1) and occipital cortices, as well as stronger gamma fronto-motor connectivity during flanker-type interference. Regarding Simon-type interference, stronger beta interactions were observed between left M1 and right temporal and right M1 and left parietal with increasing age. Finally, the superadditivity effect (flanker + Simon presented simultaneously) indicated weaker beta connectivity between right M1 and left premotor with increasing age. These findings suggest exhaustion of age-related compensatory adaptations in the fronto-parieto-motor network with greater interference.
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Affiliation(s)
- Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA.
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Hallie J Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Madelyn P Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Biomedical Physiology & Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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Webert LK, Schantell M, John JA, Coutant AT, Okelberry HJ, Horne LK, Sandal ME, Mansouri A, Wilson TW. Regular cannabis use modulates gamma activity in brain regions serving motor control. J Psychopharmacol 2024; 38:949-960. [PMID: 39140179 PMCID: PMC11524774 DOI: 10.1177/02698811241268876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
BACKGROUND People who regularly use cannabis exhibit altered brain dynamics during cognitive control tasks, though the impact of regular cannabis use on the neural dynamics serving motor control remains less understood. AIMS We sought to investigate how regular cannabis use modulates the neural dynamics serving motor control. METHODS Thirty-four people who regularly use cannabis (cannabis+) and 33 nonusers (cannabis-) underwent structured interviews about their substance use history and performed the Eriksen flanker task to map the neural dynamics serving motor control during high-density magnetoencephalography (MEG). The resulting neural data were transformed into the time-frequency domain to examine oscillatory activity and were imaged using a beamforming approach. RESULTS MEG sensor-level analyses revealed robust beta (16-24 Hz) and gamma oscillations (66-74 Hz) during motor planning and execution, which were imaged using a beamformer. Both responses peaked in the left primary motor cortex and voxel time series were extracted to evaluate the spontaneous and oscillatory dynamics. Our key findings indicated that the cannabis+ group exhibited weaker spontaneous gamma activity in the left primary motor cortex relative to the cannabis- group, which scaled with cannabis use and behavioral metrics. Interestingly, regular cannabis use was not associated with differences in oscillatory beta and gamma activity, and there were no group differences in spontaneous beta activity. CONCLUSIONS Our findings suggest that regular cannabis use is associated with suppressed spontaneous gamma activity in the left primary motor cortex, which scales with the degree of cannabis use disorder symptomatology and is coupled to behavioral task performance.
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Affiliation(s)
- Lauren K. Webert
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Jason A. John
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Anna T. Coutant
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Hannah J. Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Lucy K. Horne
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Megan E. Sandal
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Amirsalar Mansouri
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Tony W. Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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Arif Y, Son JJ, Okelberry HJ, Johnson HJ, Willett MP, Wiesman AI, Wilson TW. Modulation of movement-related oscillatory signatures by cognitive interference in healthy aging. GeroScience 2024; 46:3021-3034. [PMID: 38175521 PMCID: PMC11009213 DOI: 10.1007/s11357-023-01057-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
Age-related changes in the neurophysiology underlying motor control are well documented, but whether these changes are specific to motor function or more broadly reflect age-related alterations in fronto-parietal circuitry serving attention and other higher-level processes remains unknown. Herein, we collected high-density magnetoencephalography (MEG) in 72 healthy adults (age 28-63 years) as they completed an adapted version of the multi-source interference task that involved two subtypes of cognitive interference (i.e., flanker and Simon) and their integration (i.e., multi-source). All MEG data were examined for age-related changes in neural oscillatory activity using a whole-brain beamforming approach. Our primary findings indicated robust behavioral differences in task performance based on the type of interference, as well as stronger beta oscillations with increasing age in the right dorsolateral prefrontal cortices (flanker and multi-source conditions), left parietal (flanker and Simon), and medial parietal regions (multi-source). Overall, these data indicate that healthy aging is associated with alterations in higher-order association cortices that are critical for attention and motor control in the context of cognitive interference.
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Affiliation(s)
- Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA.
| | - Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Hallie J Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Madelyn P Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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Hinton EH, Busboom MT, Embury CM, Spooner RK, Wilson TW, Kurz MJ. Adults with cerebral palsy exhibit uncharacteristic cortical oscillations during an adaptive sensorimotor control task. Sci Rep 2024; 14:10788. [PMID: 38734783 PMCID: PMC11088662 DOI: 10.1038/s41598-024-61375-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 05/06/2024] [Indexed: 05/13/2024] Open
Abstract
Prior research has shown that the sensorimotor cortical oscillations are uncharacteristic in persons with cerebral palsy (CP); however, it is unknown if these altered cortical oscillations have an impact on adaptive sensorimotor control. This investigation evaluated the cortical dynamics when the motor action needs to be changed "on-the-fly". Adults with CP and neurotypical controls completed a sensorimotor task that required either proactive or reactive control while undergoing magnetoencephalography (MEG). When compared with the controls, the adults with CP had a weaker beta (18-24 Hz) event-related desynchronization (ERD), post-movement beta rebound (PMBR, 16-20 Hz) and theta (4-6 Hz) event-related synchronization (ERS) in the sensorimotor cortices. In agreement with normative work, the controls exhibited differences in the strength of the sensorimotor gamma (66-84 Hz) ERS during proactive compared to reactive trials, but similar condition-wise changes were not seen in adults with CP. Lastly, the adults with CP who had a stronger theta ERS tended to have better hand dexterity, as indicated by the Box and Blocks Test and Purdue Pegboard Test. These results may suggest that alterations in the theta and gamma cortical oscillations play a role in the altered hand dexterity and uncharacteristic adaptive sensorimotor control noted in adults with CP.
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Affiliation(s)
- Erica H Hinton
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Morgan T Busboom
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Christine M Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA
| | - Max J Kurz
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA.
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA.
- Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA.
- Institute for Human Neuroscience, Boys Town National Research Hospital, 14090 Mother Teresa Lane, Boys Town, NE, 68010, USA.
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10
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Busboom MT, Hoffman RM, Spooner RK, Taylor BK, Baker SE, Trevarrow MP, Wilson TW, Kurz MJ. Disruption of Sensorimotor Cortical Oscillations by Visual Interference Predicts the Altered Motor Performance of Persons with Cerebral Palsy. Neuroscience 2024; 536:92-103. [PMID: 37996052 PMCID: PMC10843825 DOI: 10.1016/j.neuroscience.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
Emerging evidence indicates that aberrations in sensorimotor cortical oscillations likely play a key role in uncharacteristic motor actions seen in cerebral palsy. This interpretation is largely centered on the assumption that the aberrant cortical oscillations primarily reflect the motor aspects, with less consideration of possible higher-order cognitive connections. To directly probe this view, we examined the impact of cognitive interference on the sensorimotor cortical oscillations seen in persons with cerebral palsy using magnetoencephalography. Persons with cerebral palsy (N = 26, 9-47 years old) and controls (N = 46, 11-49 years) underwent magnetoencephalographic imaging while completing an arrow-based version of the Eriksen flanker task. Structural equation modeling was used to evaluate the relationship between the extent of interference generated by the flanker task and the strength of the sensorimotor cortical oscillations and motor performance. Our results indicated that the impact of cognitive interference on beta and gamma oscillations moderated the interference effect on reaction times in persons with cerebral palsy, above and beyond that seen in controls. Overall, these findings suggest that alterations in sensorimotor oscillatory activity in those with cerebral palsy at least partly reflects top-down control influences on the motor system. Thus, suppression of distracting stimuli should be a consideration when evaluating altered motor actions in cerebral palsy.
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Affiliation(s)
- Morgan T Busboom
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | | | - Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Omaha, NE, USA
| | - Sarah E Baker
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Michael P Trevarrow
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Omaha, NE, USA
| | - Max J Kurz
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Omaha, NE, USA.
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11
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Wang HL, Kuo YT, Lo YC, Kuo CH, Chen BW, Wang CF, Wu ZY, Lee CE, Yang SH, Lin SH, Chen PC, Chen YY. Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task. Int J Neural Syst 2023; 33:2350051. [PMID: 37632142 DOI: 10.1142/s012906572350051x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2023]
Abstract
Complete reaching movements involve target sensing, motor planning, and arm movement execution, and this process requires the integration and communication of various brain regions. Previously, reaching movements have been decoded successfully from the motor cortex (M1) and applied to prosthetic control. However, most studies attempted to decode neural activities from a single brain region, resulting in reduced decoding accuracy during visually guided reaching motions. To enhance the decoding accuracy of visually guided forelimb reaching movements, we propose a parallel computing neural network using both M1 and medial agranular cortex (AGm) neural activities of rats to predict forelimb-reaching movements. The proposed network decodes M1 neural activities into the primary components of the forelimb movement and decodes AGm neural activities into internal feedforward information to calibrate the forelimb movement in a goal-reaching movement. We demonstrate that using AGm neural activity to calibrate M1 predicted forelimb movement can improve decoding performance significantly compared to neural decoders without calibration. We also show that the M1 and AGm neural activities contribute to controlling forelimb movement during goal-reaching movements, and we report an increase in the power of the local field potential (LFP) in beta and gamma bands over AGm in response to a change in the target distance, which may involve sensorimotor transformation and communication between the visual cortex and AGm when preparing for an upcoming reaching movement. The proposed parallel computing neural network with the internal feedback model improves prediction accuracy for goal-reaching movements.
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Affiliation(s)
- Han-Lin Wang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Yun-Ting Kuo
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Yu-Chun Lo
- The Ph.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, 12F., Education & Research Building, Shuang-Ho Campus, No. 301, Yuantong Rd., New Taipei City 235235, Taiwan
| | - Chao-Hung Kuo
- Department of Neurosurgery, Neurological Institute Taipei Veterans General Hospital, No. 201, Sec. 2 Shipai Rd., Taipei 11217, Taiwan
| | - Bo-Wei Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Ching-Fu Wang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
- Biomedical Engineering Research and Development Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Zu-Yu Wu
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Chi-En Lee
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
| | - Shih-Hung Yang
- Department of Mechanical Engineering, National Cheng Kung University, No. 1, University Rd., Tainan 70101, Taiwan
| | - Sheng-Huang Lin
- Department of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 707, Sec. 3 Zhongyang Rd., Hualien 97002, Taiwan
- Department of Neurology, School of Medicine, Tzu Chi University, No. 701, Sec. 3, Zhongyang Rd., Hualien 97004, Taiwan
| | - Po-Chuan Chen
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - You-Yin Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 155, Sec. 2 Linong St., Taipei 112304, Taiwan
- The Ph.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, 12F., Education & Research Building, Shuang-Ho Campus, No. 301, Yuantong Rd., New Taipei City 235235, Taiwan
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12
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Meehan CE, Schantell M, Springer SD, Wiesman AI, Wolfson SL, O'Neill J, Murman DL, Bares SH, May PE, Johnson CM, Wilson TW. Movement-related beta and gamma oscillations indicate parallels and disparities between Alzheimer's disease and HIV-associated neurocognitive disorder. Neurobiol Dis 2023; 186:106283. [PMID: 37683957 PMCID: PMC10545947 DOI: 10.1016/j.nbd.2023.106283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/02/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023] Open
Abstract
People with HIV (PWH) often develop HIV-related neurological impairments known as HIV-associated neurocognitive disorder (HAND), but cognitive dysfunction in older PWH may also be due to age-related disorders such as Alzheimer's disease (AD). Discerning these two conditions is challenging since the specific neural characteristics are not well understood and limited studies have probed HAND and AD spectrum (ADS) directly. We examined the neural dynamics underlying motor processing during cognitive interference using magnetoencephalography (MEG) in 22 biomarker-confirmed patients on the ADS, 22 older participants diagnosed with HAND, and 30 healthy aging controls. MEG data were transformed into the time-frequency domain to examine movement-related oscillatory activity and the impact of cognitive interference on distinct stages of motor programming. Both cognitively impaired groups (ADS/HAND) performed significantly worse on the task (e.g., less accurate and slower reaction time) and exhibited reductions in frontal and cerebellar beta and parietal gamma activity relative to controls. Disease-specific aberrations were also detected such that those with HAND exhibited weaker gamma interference effects than those on the ADS in frontoparietal and motor areas. Additionally, temporally distinct beta interference effects were identified, with ADS participants exhibiting stronger beta interference activity in the temporal cortex during motor planning, along with weaker beta interference oscillations dispersed across frontoparietal and cerebellar cortices during movement execution relative to those with HAND. These results indicate both overlapping and distinct neurophysiological aberrations in those with ADS disorders or HAND in key motor and top-down cognitive processing regions during cognitive interference and provide new evidence for distinct neuropathology.
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Affiliation(s)
- Chloe E Meehan
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Seth D Springer
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | | | - Jennifer O'Neill
- Department of Internal Medicine, Division of Infectious Diseases, UNMC, Omaha, NE, USA
| | - Daniel L Murman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA; Memory Disorders & Behavioral Neurology Program, UNMC, Omaha, NE, USA
| | - Sara H Bares
- Department of Internal Medicine, Division of Infectious Diseases, UNMC, Omaha, NE, USA
| | - Pamela E May
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA.
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13
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Spooner RK, Wilson TW. Spectral specificity of gamma-frequency transcranial alternating current stimulation over motor cortex during sequential movements. Cereb Cortex 2023; 33:5347-5360. [PMID: 36368895 PMCID: PMC10152093 DOI: 10.1093/cercor/bhac423] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Motor control requires the coordination of spatiotemporally precise neural oscillations in the beta and gamma range within the primary motor cortex (M1). Recent studies have shown that motor performance can be differentially modulated based on the spectral target of noninvasive transcranial alternating current stimulation (tACS), with gamma-frequency tACS improving motor performance. However, the spectral specificity for eliciting such improvements remains unknown. Herein, we derived the peak movement-related gamma frequency in 25 healthy adults using magnetoencephalography and a motor control paradigm. These individualized peak gamma frequencies were then used for personalized sessions of tACS. All participants completed 4 sessions of high-definition (HD)-tACS (sham, low-, peak-, and high-gamma frequency) over M1 for 20 min during the performance of sequential movements of varying complexity (e.g. tapping adjacent fingers or nonadjacent fingers). Our primary findings demonstrated that individualized tACS dosing over M1 leads to enhanced motor performance/learning (i.e. greatest reduction in time to complete motor sequences) compared to nonspecific gamma-tACS in humans, which suggests that personalized neuromodulation may be advantageous to optimize behavioral outcomes.
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Affiliation(s)
- Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- College of Medicine, University of Nebraska Medical Center (UMNC), Omaha, NE, United States
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Düsseldorf, Germany
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- College of Medicine, University of Nebraska Medical Center (UMNC), Omaha, NE, United States
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, United States
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, United States
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14
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Xiao Y, Chou CC, Cosgrove GR, Crone NE, Stone S, Madsen JR, Reucroft I, Shih YC, Weisholtz D, Yu HY, Anderson WS, Kreiman G. Cross-task specificity and within-task invariance of cognitive control processes. Cell Rep 2023; 42:111919. [PMID: 36640346 PMCID: PMC9993332 DOI: 10.1016/j.celrep.2022.111919] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/09/2022] [Accepted: 12/12/2022] [Indexed: 01/11/2023] Open
Abstract
Cognitive control involves flexibly combining multiple sensory inputs with task-dependent goals during decision making. Several tasks involving conflicting sensory inputs and motor outputs have been proposed to examine cognitive control, including the Stroop, Flanker, and multi-source interference task. Because these tasks have been studied independently, it remains unclear whether the neural signatures of cognitive control reflect abstract control mechanisms or specific combinations of sensory and behavioral aspects of each task. To address these questions, we record invasive neurophysiological signals from 16 patients with pharmacologically intractable epilepsy and compare neural responses within and between tasks. Neural signals differ between incongruent and congruent conditions, showing strong modulation by conflicting task demands. These neural signals are mostly specific to each task, generalizing within a task but not across tasks. These results highlight the complex interplay between sensory inputs, motor outputs, and task demands underlying cognitive control processes.
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Affiliation(s)
| | - Chien-Chen Chou
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | | | | | - Scellig Stone
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph R Madsen
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ian Reucroft
- Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yen-Cheng Shih
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | - Daniel Weisholtz
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hsiang-Yu Yu
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
| | | | - Gabriel Kreiman
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Center for Brains, Minds and Machines, Cambridge, MA, USA.
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15
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Walshe EA, Roberts TPL, Ward McIntosh C, Winston FK, Romer D, Gaetz W. An event-based magnetoencephalography study of simulated driving: Establishing a novel paradigm to probe the dynamic interplay of executive and motor function. Hum Brain Mapp 2023; 44:2109-2121. [PMID: 36617993 PMCID: PMC9980886 DOI: 10.1002/hbm.26197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/27/2022] [Accepted: 12/10/2022] [Indexed: 01/10/2023] Open
Abstract
Magnetoencephalography (MEG) is particularly well-suited to the study of human motor cortex oscillatory rhythms and motor control. However, the motor tasks studied to date are largely overly simplistic. This study describes a new approach: a novel event-based simulated drive made operational via MEG compatible driving simulator hardware, paired with differential beamformer methods to characterize the neural correlates of realistic, complex motor activity. We scanned 23 healthy individuals aged 16-23 years (mean age = 19.5, SD = 2.5; 18 males and 5 females, all right-handed) who completed a custom-built repeated trials driving scenario. MEG data were recorded with a 275-channel CTF, and a volumetric magnetic resonance imaging scan was used for MEG source localization. To validate this paradigm, we hypothesized that pedal-use would elicit expected modulation of primary motor responses beta-event-related desynchronization (B-ERD) and movement-related gamma synchrony (MRGS). To confirm the added utility of this paradigm, we hypothesized that the driving task could also probe frontal cognitive control responses (specifically, frontal midline theta [FMT]). Three of 23 participants were removed due to excess head motion (>1.5 cm/trial), confirming feasibility. Nonparametric group analysis revealed significant regions of pedal-use related B-ERD activity (at left precentral foot area, as well as bilateral superior parietal lobe: p < .01 corrected), MRGS (at medial precentral gyrus: p < .01 corrected), and FMT band activity sustained around planned braking (at bilateral superior frontal gyrus: p < .01 corrected). This paradigm overcomes the limits of previous efforts by allowing for characterization of the neural correlates of realistic, complex motor activity in terms of brain regions, frequency bands and their dynamic temporal interplay.
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Affiliation(s)
- Elizabeth A. Walshe
- Center for Injury Research and PreventionChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Timothy P. L. Roberts
- Center for Injury Research and PreventionChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA,Lurie Family Foundations' MEG Imaging Center, Department of RadiologyChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA,Department of RadiologyPerelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Chelsea Ward McIntosh
- Center for Injury Research and PreventionChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Flaura K. Winston
- Center for Injury Research and PreventionChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA,Department of RadiologyPerelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA,Department of PediatricsPerelamn School of Medicine, University of PennysylvaniaPhiladelphiaPennsylvaniaUSA
| | - Dan Romer
- Annenberg Public Policy CenterUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - William Gaetz
- Center for Injury Research and PreventionChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA,Lurie Family Foundations' MEG Imaging Center, Department of RadiologyChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA,Department of RadiologyPerelman School of Medicine, University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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16
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Fung MH, Heinrichs-Graham E, Taylor BK, Frenzel MR, Eastman JA, Wang YP, Calhoun VD, Stephen JM, Wilson TW. The development of sensorimotor cortical oscillations is mediated by pubertal testosterone. Neuroimage 2022; 264:119745. [PMID: 36368502 DOI: 10.1016/j.neuroimage.2022.119745] [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: 07/11/2022] [Revised: 09/28/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022] Open
Abstract
Puberty is a period of substantial hormonal fluctuations, and pubertal hormones can modulate structural and functional changes in the developing brain. Many previous studies have characterized the neural oscillatory responses serving movement, which include a beta event-related desynchronization (ERD) preceding movement onset, gamma and theta responses coinciding with movement execution, and a post-movement beta-rebound (PMBR) response following movement offset. While a few studies have investigated the developmental trajectories of these neural oscillations serving motor control, the impact of pubertal hormone levels on the maturation of these dynamics has not yet been examined. Since the timing and tempo of puberty varies greatly between individuals, pubertal hormones may uniquely impact the maturation of motor cortical oscillations distinct from other developmental metrics, such as age. In the current study we quantified these oscillations using magnetoencephalography (MEG) and utilized chronological age and measures of endogenous testosterone as indices of development during the transition from childhood to adolescence in 69 youths. Mediation analyses revealed complex maturation patterns for the beta ERD, in which testosterone predicted both spontaneous baseline and ERD power through direct and indirect effects. Age, but not pubertal hormones, predicted motor-related theta, and no relationships between oscillatory responses and developmental metrics were found for gamma or PMBR responses. These findings provide novel insight into how pubertal hormones affect motor-related oscillations, and highlight the continued development of motor cortical dynamics throughout the pubertal period.
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Affiliation(s)
- Madison H Fung
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Elizabeth Heinrichs-Graham
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Michaela R Frenzel
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Jacob A Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA; Mind Research Network, Albuquerque, NM, USA
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA.
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17
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Spooner RK, Wilson TW. Cortical theta-gamma coupling governs the adaptive control of motor commands. Brain Commun 2022; 4:fcac249. [PMID: 36337344 PMCID: PMC9631971 DOI: 10.1093/braincomms/fcac249] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/22/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
Motor control requires the adaptive updating of internal models to successfully target desired outcomes. This adaptive control can be proactive, such that imminent actions and corresponding sensorimotor programmes are anticipated prior to movement, or reactive, such that online error correction is necessary to adjust to sudden changes. While substantial evidence implicates a distributed cortical network serving adaptive control when behavioural changes are required (e.g. response inhibition), the neural dynamics serving such control when the target motor commands are to remain intact are poorly understood. To address this, we developed a novel proactive-reactive cued finger tapping paradigm that was performed during magnetoencephalography by 25 healthy adults. Importantly, to ensure condition-wise differences in adaptive cueing were not attributable to changes in movement kinematics, motor selection and planning processes were held constant despite changes in task demands. All data were imaged in the time-frequency domain using a beamformer to evaluate the effect of proactive and reactive cues on movement-related oscillations and subsequent performance. Our results indicated spectrally specific increases in low (i.e. theta) and high (i.e. gamma) frequency oscillations during motor execution as a function of adaptive cueing. Additionally, we observed robust cross-frequency coupling of theta and gamma oscillatory power in the contralateral motor cortex and further, the strength of this theta-gamma coupling during motor execution was differentially predictive of behavioural improvements and decrements during reactive and proactive trials, respectively. These data indicate that functional oscillatory coupling may govern the adaptive control of movement in the healthy brain and importantly, may serve as effective proxies for characterizing declines in motor function in clinical populations in the future.
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Affiliation(s)
- Rachel K Spooner
- Correspondence to: Rachel K. Spooner Institute of Clinical Neuroscience and Medical Psychology Heinrich-Heine University Düsseldorf, Moorenstraße 5 40225 Düsseldorf, Germany E-mails: ;
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA,Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, USA
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18
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Cox E, Tseng J, Bells S, Dockstader C, Laughlin S, Bouffet E, de Medeiros C, Mabbott DJ. Neural and cognitive function in a pediatric brain injury model: The impact of task complexity. Cortex 2022; 155:307-321. [DOI: 10.1016/j.cortex.2022.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 03/26/2022] [Accepted: 05/23/2022] [Indexed: 11/03/2022]
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19
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Spooner RK, Madhavan D, Aizenberg MR, Wilson TW. Retrospective comparison of motor and somatosensory MEG mapping-Considerations for better clinical applications. Neuroimage Clin 2022; 35:103045. [PMID: 35597033 PMCID: PMC9123261 DOI: 10.1016/j.nicl.2022.103045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/29/2022] [Accepted: 05/09/2022] [Indexed: 11/17/2022]
Abstract
MEG is a clinically validated tool for presurgical functional mapping. The success rate for MEG somatosensory and motor mapping is not fully known. Comprehensive mapping protocols increase the accuracy of sensorimotor mapping. Major sources of mapping failures include low SNR, magnetic artifacts, and motion. Recommendations for improving mapping success rates in the future are discussed.
While magnetoencephalography (MEG) has proven to be a valuable and reliable tool for presurgical functional mapping of eloquent cortices for at least two decades, widespread use of this technique by clinicians has remained elusive. This modest application may be attributable, at least in part, to misunderstandings regarding the success rate of such mapping procedures, as well as the primary sources contributing to mapping failures. To address this, we conducted a retrospective comparison of sensorimotor functional mapping success rates in 141 patients with epilepsy and 75 tumor patients from the Center for MEG in Omaha, NE. Neurosurgical candidates either completed motor mapping (i.e., finger tapping paradigm), somatosensory mapping (i.e., peripheral stimulation paradigm), or both motor and somatosensory protocols during MEG. All MEG data underwent subsequent time-domain averaging and source localization of left and right primary motor (M1) and somatosensory (S1) cortices was conducted using a single equivalent dipole model. Successful mapping was determined based on dipole goodness of fit metrics ∼ 95%, as well as an accurate and conceivable spatial correspondence to precentral and postcentral gyri for M1 and S1, respectively. Our results suggest that mapping M1 in epilepsy and tumor patients was on average 94.5% successful, when patients only completed motor mapping protocols. In contrast, mapping S1 was successful 45–100% of the time in these patient groups when they only completed somatosensory mapping paradigms. Importantly, Z-tests for independent proportions revealed that the percentage of successful S1 mappings significantly increased to ∼ 94% in epilepsy patients who completed both motor/somatosensory mapping protocols during MEG. Together, these data suggest that ordering more comprehensive mapping procedures (e.g., both motor and somatosensory protocols for a collective sensorimotor network) may substantially increase the accuracy of presurgical functional mapping by providing more extensive data from which to base interpretations. Moreover, clinicians and magnetoencephalographers should be considerate of the major contributors to mapping failures (i.e., low SNR, excessive motion and magnetic artifacts) in order to further increase the percentage of cases achieving successful mapping of eloquent cortices.
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Affiliation(s)
- Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA; Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Düsseldorf, Germany.
| | - Deepak Madhavan
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA; Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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20
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Connectivity in Large-Scale Resting-State Brain Networks Is Related to Motor Learning: A High-Density EEG Study. Brain Sci 2022; 12:brainsci12050530. [PMID: 35624919 PMCID: PMC9138969 DOI: 10.3390/brainsci12050530] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022] Open
Abstract
Previous research has shown that resting-state functional connectivity (rsFC) between different brain regions (seeds) is related to motor learning and motor memory consolidation. Using high-density electroencephalography (hdEEG), we addressed this question from a brain network perspective. Specifically, we examined frequency-dependent functional connectivity in resting-state networks from twenty-nine young healthy participants before and after they were trained on a motor sequence learning task. Consolidation was assessed with an overnight retest on the motor task. Our results showed training-related decreases in gamma-band connectivity within the motor network, and between the motor and functionally distinct resting-state networks including the attentional network. Brain-behavior correlation analyses revealed that baseline beta, delta, and theta rsFC were related to subsequent motor learning and memory consolidation such that lower connectivity within the motor network and between the motor and several distinct resting-state networks was correlated with better learning and overnight consolidation. Lastly, training-related increases in beta-band connectivity between the motor and the visual networks were related to greater consolidation. Altogether, our results indicate that connectivity in large-scale resting-state brain networks is related to—and modulated by—motor learning and memory consolidation processes. These finding corroborate previous seed-based connectivity research and provide evidence that frequency-dependent functional connectivity in resting-state networks is critically linked to motor learning and memory consolidation.
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Heinrichs-Graham E, Wiesman AI, Embury CM, Schantell M, Joe TR, Eastman JA, Wilson TW. Differential impact of movement on the alpha and gamma dynamics serving visual processing. J Neurophysiol 2022; 127:928-937. [PMID: 35264002 PMCID: PMC8977134 DOI: 10.1152/jn.00380.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
Abstract
Visual processing is widely understood to be served by a decrease in alpha activity in occipital cortices, largely concurrent with an increase in gamma activity. Although the characteristics of these oscillations are well documented in response to a range of complex visual stimuli, little is known about how these dynamics are impacted by concurrent motor responses, which is problematic as many common visual tasks involve such responses. Thus, in the current study, we used magnetoencephalography (MEG) and modified a well-established visual paradigm to explore the impact of motor responses on visual oscillatory activity. Thirty-four healthy adults viewed a moving gabor (grating) stimulus that was known to elicit robust alpha and gamma oscillations in occipital cortices. Frequency and power characteristics were assessed statistically for differences as a function of movement condition. Our results indicated that occipital alpha significantly increased in power during movement relative to no movement trials. No differences in peak frequency or power were found for gamma responses between the two movement conditions. These results provide valuable evidence of visuomotor integration and underscore the importance of careful task design and interpretation, especially in the context of complex visual processing, and suggest that even basic motor responses alter occipital visual oscillations in healthy adults.NEW & NOTEWORTHY Processing of visual stimuli is served by occipital alpha and gamma activity. Many studies have investigated the impact of visual stimuli on motor cortical responses, but few studies have systematically investigated the impact of motor responses on visual oscillations. We found that when participants are asked to move in response to a visual stimulus, occipital alpha power was modulated whereas gamma responses were unaffected. This suggests that these responses have dissociable roles in visuomotor integration.
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Affiliation(s)
- Elizabeth Heinrichs-Graham
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska
- College of Medicine, Creighton University, Omaha, Nebraska
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - Alex I Wiesman
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Christine M Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska
- Department of Psychology, University of Nebraska at Omaha, Nebraska
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - Timothy R Joe
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
- Department of Psychology, University of Nebraska at Omaha, Nebraska
| | - Jacob A Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska
- College of Medicine, Creighton University, Omaha, Nebraska
- College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
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22
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Dzianok P, Antonova I, Wojciechowski J, Dreszer J, Kublik E. The Nencki-Symfonia electroencephalography/event-related potential dataset: Multiple cognitive tasks and resting-state data collected in a sample of healthy adults. Gigascience 2022; 11:giac015. [PMID: 35254424 PMCID: PMC8900497 DOI: 10.1093/gigascience/giac015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/22/2021] [Accepted: 01/27/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND One of the goals of neuropsychology is to understand the brain mechanisms underlying aspects of attention and cognitive control. Several tasks have been developed as a part of this body of research, however their results are not always consistent. A reliable comparison of the data and a synthesis of study conclusions has been precluded by multiple methodological differences. Here, we describe a publicly available, high-density electroencephalography (EEG) dataset obtained from 42 healthy young adults while they performed 3 cognitive tasks: (i) an extended multi-source interference task; (ii) a 3-stimuli oddball task; (iii) a control, simple reaction task; and (iv) a resting-state protocol. Demographic and psychometric information are included within the dataset. DATASET VALIDATION First, data validation confirmed acceptable quality of the obtained EEG signals. Typical event-related potential (ERP) waveforms were obtained, as expected for attention and cognitive control tasks (i.e., N200, P300, N450). Behavioral results showed the expected progression of reaction times and error rates, which confirmed the effectiveness of the applied paradigms. CONCLUSIONS This dataset is well suited for neuropsychological research regarding common and distinct mechanisms involved in different cognitive tasks. Using this dataset, researchers can compare a wide range of classical EEG/ERP features across tasks for any selected subset of electrodes. At the same time, 128-channel EEG recording allows for source localization and detailed connectivity studies. Neurophysiological measures can be correlated with additional psychometric data obtained from the same participants. This dataset can also be used to develop and verify novel analytical and classification approaches that can advance the field of deep/machine learning algorithms, recognition of single-trial ERP responses to different task conditions, and detection of EEG/ERP features for use in brain-computer interface applications.
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Affiliation(s)
- Patrycja Dzianok
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology PAS, 02-093, Warsaw, Poland
| | - Ingrida Antonova
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology PAS, 02-093, Warsaw, Poland
| | - Jakub Wojciechowski
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology PAS, 02-093, Warsaw, Poland
- Bioimaging Research Center, Institute of Physiology and Pathology of Hearing, 02-042, Warsaw, Poland
| | - Joanna Dreszer
- Institute of Psychology, Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University in Toruń, 87-100, Toruń, Poland
| | - Ewa Kublik
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology PAS, 02-093, Warsaw, Poland
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Tatti E, Ferraioli F, Cacciola A, Chan C, Quartarone A, Ghilardi MF. Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration. Front Neurosci 2022; 16:836703. [PMID: 35281507 PMCID: PMC8908429 DOI: 10.3389/fnins.2022.836703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/02/2022] [Indexed: 11/21/2022] Open
Abstract
Modulation of gamma oscillations recorded from the human motor cortex and basal ganglia appears to play a key role in movement execution. However, there are still major questions to be answered about the specific role of cortical gamma activity in both the planning and execution of movement features such as the scaling of peak velocity and movement time. In this study, we characterized movement-related gamma oscillatory dynamics and its relationship with kinematic parameters based on 256-channels EEG recordings in 64 healthy subjects while performing fast and uncorrected reaching movements to targets located at three distances. In keeping with previous studies, we found that movement-related gamma synchronization occurred during movement execution. As a new finding, we showed that gamma synchronization occurred also before movement onset, with planning and execution phases involving different gamma peak frequencies and topographies. Importantly, the amplitude of gamma synchronization in both planning and execution increased with target distance and predicted peak velocity and movement time. Additional analysis of phase coherence revealed a gamma-coordinated long-range network involving occipital, frontal and central regions during movement execution that was positively related to kinematic features. This is the first evidence in humans supporting the notion that gamma synchronization amplitude and phase coherence pattern can reliably predict peak velocity amplitude and movement time. Therefore, these findings suggest that cortical gamma oscillations have a crucial role for the selection, implementation and control of the appropriate kinematic parameters of goal-directed reaching movements.
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Affiliation(s)
- Elisa Tatti
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
- *Correspondence: Elisa Tatti,
| | - Francesca Ferraioli
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
| | - Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Cameron Chan
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Maria Felice Ghilardi
- Department of Molecular, Cellular and Biomedical Sciences, City University of New York (CUNY), School of Medicine, New York, NY, United States
- Maria Felice Ghilardi,
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Ma R, Xia X, Zhang W, Lu Z, Wu Q, Cui J, Song H, Fan C, Chen X, Zha R, Wei J, Ji GJ, Wang X, Qiu B, Zhang X. High Gamma and Beta Temporal Interference Stimulation in the Human Motor Cortex Improves Motor Functions. Front Neurosci 2022; 15:800436. [PMID: 35046771 PMCID: PMC8761631 DOI: 10.3389/fnins.2021.800436] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 11/29/2021] [Indexed: 12/14/2022] Open
Abstract
Background: Temporal interference (TI) stimulation is a new technique of non-invasive brain stimulation. Envelope-modulated waveforms with two high-frequency carriers can activate neurons in target brain regions without stimulating the overlying cortex, which has been validated in mouse brains. However, whether TI stimulation can work on the human brain has not been elucidated. Objective: To assess the effectiveness of the envelope-modulated waveform of TI stimulation on the human primary motor cortex (M1). Methods: Participants attended three sessions of 30-min TI stimulation during a random reaction time task (RRTT) or a serial reaction time task (SRTT). Motor cortex excitability was measured before and after TI stimulation. Results: In the RRTT experiment, only 70 Hz TI stimulation had a promoting effect on the reaction time (RT) performance and excitability of the motor cortex compared to sham stimulation. Meanwhile, compared with the sham condition, only 20 Hz TI stimulation significantly facilitated motor learning in the SRTT experiment, which was significantly positively correlated with the increase in motor evoked potential. Conclusion: These results indicate that the envelope-modulated waveform of TI stimulation has a significant promoting effect on human motor functions, experimentally suggesting the effectiveness of TI stimulation in humans for the first time and paving the way for further explorations.
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Affiliation(s)
- Ru Ma
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China
| | - Xinzhao Xia
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China
| | - Wei Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China
| | - Zhuo Lu
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China
| | - Qianying Wu
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China.,Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, United States
| | - Jiangtian Cui
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China.,School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Hongwen Song
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China
| | - Chuan Fan
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China
| | - Xueli Chen
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China
| | - Rujing Zha
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China
| | - Junjie Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China
| | - Xiaochu Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Science and Medicine, Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, University of Science and Technology of China, Hefei, China.,Centers for Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China, Hefei, China.,Department of Psychology, School of Humanities and Social Science, University of Science and Technology of China, Hefei, China.,Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China, Hefei, China
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25
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Ulloa JL. The Control of Movements via Motor Gamma Oscillations. Front Hum Neurosci 2022; 15:787157. [PMID: 35111006 PMCID: PMC8802912 DOI: 10.3389/fnhum.2021.787157] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/22/2021] [Indexed: 01/07/2023] Open
Abstract
The ability to perform movements is vital for our daily life. Our actions are embedded in a complex environment where we need to deal efficiently in the face of unforeseen events. Neural oscillations play an important role in basic sensorimotor processes related to the execution and preparation of movements. In this review, I will describe the state of the art regarding the role of motor gamma oscillations in the control of movements. Experimental evidence from electrophysiological studies has shown that motor gamma oscillations accomplish a range of functions in motor control beyond merely signaling the execution of movements. However, these additional aspects associated with motor gamma oscillation remain to be fully clarified. Future work on different spatial, temporal and spectral scales is required to further understand the implications of gamma oscillations in motor control.
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Affiliation(s)
- José Luis Ulloa
- Programa de Investigación Asociativa (PIA) en Ciencias Cognitivas, Centro de Investigación en Ciencias Cognitivas (CICC), Facultad de Psicología, Universidad de Talca, Talca, Chile
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26
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Papadopoulos S, Bonaiuto J, Mattout J. An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces. Front Neurosci 2022; 15:824759. [PMID: 35095410 PMCID: PMC8789741 DOI: 10.3389/fnins.2021.824759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/21/2021] [Indexed: 01/11/2023] Open
Abstract
The development of reliable assistive devices for patients that suffer from motor impairments following central nervous system lesions remains a major challenge in the field of non-invasive Brain-Computer Interfaces (BCIs). These approaches are predominated by electroencephalography and rely on advanced signal processing and machine learning methods to extract neural correlates of motor activity. However, despite tremendous and still ongoing efforts, their value as effective clinical tools remains limited. We advocate that a rather overlooked research avenue lies in efforts to question neurophysiological markers traditionally targeted in non-invasive motor BCIs. We propose an alternative approach grounded by recent fundamental advances in non-invasive neurophysiology, specifically subject-specific feature extraction of sensorimotor bursts of activity recorded via (possibly magnetoencephalography-optimized) electroencephalography. This path holds promise in overcoming a significant proportion of existing limitations, and could foster the wider adoption of online BCIs in rehabilitation protocols.
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Affiliation(s)
- Sotirios Papadopoulos
- University Lyon 1, Lyon, France
- Lyon Neuroscience Research Center, CRNL, INSERM, U1028, CNRS, UMR 5292, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Bron, France
- *Correspondence: Sotirios Papadopoulos,
| | - James Bonaiuto
- University Lyon 1, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Bron, France
| | - Jérémie Mattout
- University Lyon 1, Lyon, France
- Lyon Neuroscience Research Center, CRNL, INSERM, U1028, CNRS, UMR 5292, Lyon, France
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27
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Dissanayaka T, Zoghi M, Farrell M, Egan G, Jaberzadeh S. The effects of monophasic anodal transcranial pulsed current stimulation on corticospinal excitability and motor performance in healthy young adults: A randomized double-blind sham-controlled study. Brain Connect 2021; 12:260-274. [PMID: 34963309 DOI: 10.1089/brain.2020.0949] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Transcranial pulsed current stimulation (tPCS) could be used to deliver electrical pulses at different frequencies to entrain the cortical neurons of the brain. Frequency dependence of these pulses in the induction of changes in corticospinal excitability (CSE) has not been reported. OBJECTIVE We aimed to assess the effect of anodal tPCS (a-tPCS) at theta (4 Hz), and gamma (75 Hz) frequencies on CSE as assessed by the peak-to-peak amplitude of transcranial magnetic stimulation (TMS) induced motor evoked potentials (MEPs) and motor performance. METHOD In a randomized double-blinded sham-controlled cross over design study, seventeen healthy participants attended three experimental sessions and received either a-tPCS at 4 Hz, 75 Hz, or sham a-tPCS with 1.5 mA for 15 min. The amplitude of TMS induced resting MEPs and time for completion of the grooved pegboard test were recorded at baseline, immediately after, and 30-min after a-tPCS. RESULTS Both a-tPCS at 75 Hz and 4 Hz showed significantly increased CSE compared to sham. The a-tPCS at 75 Hz induced significantly higher CSE changes compared to 4 Hz. There was a significant increase in intracortical facilitation and a significant reduction in short-interval intra-cortical inhibition with both 4 and 75 Hz stimulation. However, the inhibition and facilitation did not correlate with CSE. Motor performance was unaffected by the interventions. CONCLUSION The high CSE changes in M1 in a-tPCS at 75 Hz provides an initial understanding of the frequency-specific effect of a-tPCS. More research is needed to establish this concept and to assess its behavioural relevance.
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Affiliation(s)
- Thusharika Dissanayaka
- Monash University, 2541, 6/63, Frankston-flinders road, Frankston, Frankston, Victoria, Australia, 3199;
| | - Maryam Zoghi
- La Trobe University, 2080, Melbourne, Victoria, Australia;
| | - Michael Farrell
- Monash University, 2541, Medical Imaging and Radiation Sciences, Wellington Road, Clayton, Victoria, Australia, 3800.,Monash University;
| | - Gary Egan
- Monash University, Monash Biomedical Imaging; School of Psychological Sciences, Melbourne, Victoria, Australia.,ARC Centre of Excellence for Integrative Brain Function, Melbourne, Australia;
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28
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Neural oscillatory activity serving sensorimotor control is predicted by superoxide-sensitive mitochondrial redox environments. Proc Natl Acad Sci U S A 2021; 118:2104569118. [PMID: 34686594 PMCID: PMC8639326 DOI: 10.1073/pnas.2104569118] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2021] [Indexed: 11/18/2022] Open
Abstract
Mitochondrial integrity and associated redox profiles have long been revered as key contributors to a host of age- and disease-related pathologies, which eventually lead to neuronal and behavioral dysfunction in the sensorimotor and other systems. However, the precise role of the mitochondrial redox environment in human sensorimotor brain systems and motor behavior remains poorly understood. Herein, we provide evidence for a strong predictive capacity of superoxide and its scavenger, superoxide dismutase, on the neural oscillatory dynamics serving motor planning and execution above and beyond the effects of mitochondrial respiratory capacities alone. Importantly, these data provide insight regarding the impact of the redox environment on the population-level neural oscillations that serve motor function in healthy humans. Motor control requires a coordinated ensemble of spatiotemporally precise neural oscillations across a distributed motor network, particularly in the beta range (15 to 30 Hz) to successfully plan and execute volitional actions. While substantial evidence implicates beta activity as critical to motor control, the molecular processes supporting these microcircuits and their inherent oscillatory dynamics remain poorly understood. Among these processes are mitochondrial integrity and the associated redox environments, although their direct impact on human neurophysiological function is unknown. Herein, 40 healthy adults completed a motor sequence paradigm during magnetoencephalography (MEG). MEG data were imaged in the time–frequency domain using a beamformer to evaluate beta oscillatory profiles during distinct phases of motor control (i.e., planning and execution) and subsequent behavior. To comprehensively quantify features of the mitochondrial redox environment, we used state-of-the-art systems biology approaches including Seahorse Analyzer to assess mitochondrial respiration and electron paramagnetic resonance spectroscopy to measure superoxide levels in whole blood as well as antioxidant activity assays. Using structural equation modeling, we tested the relationship between mitochondrial function and sensorimotor brain-behavior dynamics through alterations in the redox environment (e.g., generation of superoxide and alteration in antioxidant defenses). Our results indicated that superoxide-sensitive but not hydrogen peroxide–sensitive features of the redox environment had direct and mediating effects on the bioenergetic–neural pathways serving motor performance in healthy adults. Importantly, our results suggest that alterations in the redox environment may directly impact behavior above and beyond mitochondrial respiratory capacities alone and further may be effective targets for age- and disease-related declines in cognitive–motor function.
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29
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Spooner RK, Arif Y, Taylor BK, Wilson TW. Movement-Related Gamma Synchrony Differentially Predicts Behavior in the Presence of Visual Interference Across the Lifespan. Cereb Cortex 2021; 31:5056-5066. [PMID: 34115110 PMCID: PMC8491684 DOI: 10.1093/cercor/bhab141] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/10/2021] [Accepted: 04/27/2021] [Indexed: 11/14/2022] Open
Abstract
The ability to allocate neural resources to task-relevant stimuli, while inhibiting distracting information in the surrounding environment (i.e., selective attention) is critical for high-level cognitive function, and declines in this ability have been linked to functional deficits in later life. Studies of age-related declines in selective attention have focused on frontal circuitry, with almost no work evaluating the contribution of motor cortical dynamics to successful task performance. Herein, we examined 69 healthy adults (23-72 years old) who completed a flanker task during magnetoencephalography (MEG). MEG data were imaged in the time-frequency domain using a beamformer to evaluate the contribution of motor cortical dynamics to age-related increases in behavioral interference effects. Our results showed that gamma oscillations in the contralateral motor cortex (M1) were a robust predictor of reaction time, regardless of interference level. Additionally, we observed condition-wise differences in gamma-by-age interactions, such that in younger adults, increases in M1 gamma power were predictive of faster reaction times during incongruent trials, while older adults did not receive this same behavioral benefit. Importantly, these data indicate that M1 gamma oscillations are differentially predictive of behavior in the presence, but not absence of visual interference, resulting in exhausted compensatory strategies with age.
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Affiliation(s)
- Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Brittany K Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA
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30
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Spooner RK, Wiesman AI, Wilson TW. Peripheral Somatosensory Entrainment Modulates the Cross-Frequency Coupling of Movement-Related Theta-Gamma Oscillations. Brain Connect 2021; 12:524-537. [PMID: 34269624 PMCID: PMC9419931 DOI: 10.1089/brain.2021.0003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Background: Motor control requires a reciprocal volley between somatosensory and motor systems, with somatosensory feedback being essential for the online updating of motor commands to achieve behavioral outcomes. However, this dynamic interplay among sensorimotor brain systems serving motor control remains poorly understood. Methods: To address this, we designed a novel somatosensory entrainment-movement task, which 25 adults completed during magnetoencephalography (MEG). Specifically, participants completed a quasi-paced finger-tapping paradigm while subthreshold electrical stimulation was applied to the right median nerve at a sensorimotor-relevant frequency (15 Hz) and during a second condition where no electrical stimulation was applied. The MEG data were transformed into the time-frequency domain and imaged by using a beamformer to evaluate the effect of somatosensory feedback (i.e., entrainment) on movement-related oscillations and motor performance at the single trial level. Results: Our results indicated spectrally specific reductions in movement-related oscillatory power (i.e., theta, gamma) during 15 Hz stimulation in the contralateral motor cortex during motor execution. In addition, we observed robust cross-frequency coupling within the motor cortex and further, stronger theta-gamma coupling was predictive of faster reaction times, irrespective of condition (i.e., stim vs. no stim). Finally, in the presence of electrical stimulation, cross-frequency coupling of movement-related oscillations was reduced, and the stronger the entrained neuronal populations (i.e., increased oscillatory power) were before movement onset, the weaker the inherent theta-gamma coupling became in the motor cortex. Discussion: This novel exogenous manipulation paradigm provides key insights on how the somatosensory system modulates the motor cortical oscillations required for volitional movement in the normative sensorimotor system.
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Affiliation(s)
- Rachel K Spooner
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, USA.,College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Alex I Wiesman
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, USA.,College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, USA.,College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
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Wiesman AI, Wilson TW. Posterior Alpha and Gamma Oscillations Index Divergent and Superadditive Effects of Cognitive Interference. Cereb Cortex 2021; 30:1931-1945. [PMID: 31711121 DOI: 10.1093/cercor/bhz214] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 08/13/2019] [Accepted: 08/21/2019] [Indexed: 01/25/2023] Open
Abstract
Conflicts at various stages of cognition can cause interference effects on behavior. Two well-studied forms of cognitive interference are stimulus-stimulus (e.g., Flanker), where the conflict arises from incongruence between the task-relevant stimulus and simultaneously presented irrelevant stimulus information, and stimulus-response (e.g., Simon), where interference is the result of an incompatibility between the spatial location of the task-relevant stimulus and a prepotent motor mapping of the expected response. Despite substantial interest in the neural and behavioral underpinnings of cognitive interference, it remains uncertain how differing sources of cognitive conflict might interact, and the spectrally specific neural dynamics that index this phenomenon are poorly understood. Herein, we used an adapted version of the multisource interference task and magnetoencephalography to investigate the spectral, temporal, and spatial dynamics of conflict processing in healthy adults (N = 23). We found a double-dissociation such that, in isolation, stimulus-stimulus interference was indexed by alpha (8-14 Hz), but not gamma-frequency (64-76 Hz) oscillations in the lateral occipital regions, while stimulus-response interference was indexed by gamma oscillations in nearby cortices, but not by alpha oscillations. Surprisingly, we also observed a superadditive effect of simultaneously presented interference types (multisource) on task performance and gamma oscillations in superior parietal cortex.
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Affiliation(s)
- Alex I Wiesman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE 68198-8440, USA.,Center for Magnetoencephalography, UNMC, Omaha, NE 68198-8440, USA
| | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE 68198-8440, USA.,Center for Magnetoencephalography, UNMC, Omaha, NE 68198-8440, USA
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Dissanayaka T, Zoghi M, Farrell M, Egan G, Jaberzadeh S. The effects of a single-session cathodal transcranial pulsed current stimulation on corticospinal excitability: A randomized sham-controlled double-blinded study. Eur J Neurosci 2020; 52:4908-4922. [PMID: 33128480 DOI: 10.1111/ejn.14916] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 06/16/2020] [Accepted: 07/11/2020] [Indexed: 12/17/2022]
Abstract
Transcranial pulsed current stimulation (tPCS) of the human motor cortex has received much attention in recent years. Although the effect of anodal tPCS with different frequencies has been investigated, the effect of cathodal tPCS (c-tPCS) has not been explored yet. Therefore, the aim of the present study was to investigate the effect of c-tPCS at 4 and 75 Hz frequencies on corticospinal excitability (CSE) and motor performance. In a randomized sham-controlled crossover design, fifteen healthy participants attended three experimental sessions and received either c-tPCS at 75 Hz, 4 Hz or sham with 1.5 mA for 15 min. Transcranial magnetic stimulation and grooved pegboard test were performed before, immediately after and 30 min after the completion of stimulation at rest. The findings indicate that c-tPCS at both 4 and 75 Hz significantly increased CSE compared to sham. Both c-tPCS at 75 and 4 Hz showed a significant increase in intracortical facilitation compared to sham, whereas the effect on short-interval intracortical inhibition was not significant. The c-tPCS at 4 Hz but not 75 Hz induced modulation of intracortical facilitation correlated with the CSE. Motor performance did not show any significant changes. These results suggest that, compared with sham stimulation, c-tPCS at both 4 and 75 Hz induces an increase in CSE.
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Affiliation(s)
- Thusharika Dissanayaka
- Non-invasive Brain Stimulation & Neuroplasticity Laboratory, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Vic., Australia
| | - Maryam Zoghi
- Department of Rehabilitation, Nutrition and Sport, School of Allied health, La Trobe University, Bundoora, Melbourne, Vic., Australia
| | - Michael Farrell
- Monash Biomedical Imaging, Monash University, Melbourne, Vic., Australia.,Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, Vic., Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Melbourne, Vic., Australia
| | - Shapour Jaberzadeh
- Non-invasive Brain Stimulation & Neuroplasticity Laboratory, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Vic., Australia
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Wiesman AI, Christopher-Hayes NJ, Eastman JA, Heinrichs-Graham E, Wilson TW. Response certainty during bimanual movements reduces gamma oscillations in primary motor cortex. Neuroimage 2020; 224:117448. [PMID: 33059048 PMCID: PMC7994913 DOI: 10.1016/j.neuroimage.2020.117448] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/03/2020] [Accepted: 10/07/2020] [Indexed: 11/15/2022] Open
Abstract
Even when movement outputs are identical, the neural responses supporting them might differ substantially in order to adapt to changing environmental contexts. Despite the essential nature of this adaptive capacity of the human motor system, little is known regarding the effects of contextual response (un)certainty on the neural dynamics known to serve motor processing. In this study, we use a novel bimanual motor task and neuroimaging with magnetoencephalography (MEG) to examine the effects of contextual response certainty on the dynamic neural responses that are important for proper movement. Significant neural responses were identified in the time-frequency domain at the sensor-level and imaged to the cortex using a spectrally resolved beamformer. Combined frequentist and Bayesian statistical testing between neural motor responses under certain and uncertain conditions indicated evidence for no conditional effect on the peri-movement beta desynchronization (18 - 28 Hz; -100 to 300 ms). In contrast, the movement-related gamma synchronization (MRGS; 66 - 86 Hz; -50 to 150 ms) exhibited a robust effect of motor certainty, such that increased contextual response certainty reduced the amplitude of this response. Interestingly, the peak frequency of the MRGS was unaffected by response certainty. These findings both advance our understanding of the neural processes required to adapt our movements under altered environmental contexts, and support the growing conceptualization of the MRGS as being reflective of ongoing higher cognitive processes during movement execution.
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Affiliation(s)
- Alex I Wiesman
- Department of Neurological Sciences, University of Nebraska Medical Center, 988422 Nebraska Medical Center, Omaha, NE 68198-8422, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Cognitive Neuroscience of Development & Aging (CoNDA) Center, UNMC, Omaha, NE, USA.
| | - Nicholas J Christopher-Hayes
- Department of Neurological Sciences, University of Nebraska Medical Center, 988422 Nebraska Medical Center, Omaha, NE 68198-8422, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Cognitive Neuroscience of Development & Aging (CoNDA) Center, UNMC, Omaha, NE, USA
| | - Jacob A Eastman
- Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Cognitive Neuroscience of Development & Aging (CoNDA) Center, UNMC, Omaha, NE, USA
| | - Elizabeth Heinrichs-Graham
- Department of Neurological Sciences, University of Nebraska Medical Center, 988422 Nebraska Medical Center, Omaha, NE 68198-8422, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Cognitive Neuroscience of Development & Aging (CoNDA) Center, UNMC, Omaha, NE, USA
| | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center, 988422 Nebraska Medical Center, Omaha, NE 68198-8422, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Cognitive Neuroscience of Development & Aging (CoNDA) Center, UNMC, Omaha, NE, USA
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Dissanayaka T, Zoghi M, Hill AT, Farrell M, Egan G, Jaberzadeh S. The Effect of Transcranial Pulsed Current Stimulation at 4 and 75 Hz on Electroencephalography Theta and High Gamma Band Power: A Pilot Study. Brain Connect 2020; 10:520-531. [PMID: 32962422 DOI: 10.1089/brain.2020.0756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Introduction: Transcranial pulsed current stimulation (tPCS) is an emerging noninvasive brain stimulation technique that has shown significant effects on cortical excitability. To date, electrophysiological measures of the efficiency of monophasic tPCS have not been reported. Objective: We aimed to explore the effects of monophasic anodal and cathodal-tPCS (a-tPCS/c-tPCS) at theta (4 Hz) and gamma (75 Hz) frequencies on theta and high gamma electroencephalography (EEG) oscillatory power. Methods: In a single-blind, randomized, sham-controlled crossover design, 15 healthy participants were randomly assigned into 5 experimental sessions in which they received a-PCS/c-tPCS at 4 and 75 Hz or sham stimulation over the left primary motor cortex (M1) for 15 min at an intensity of 1.5 mA. Changes in theta and high gamma oscillatory power were recorded at baseline, immediately after, and 30 min after stimulation using EEG at rest with eyes open. Results: a-tPCS at 4 Hz showed a significant increase in theta power compared with sham, whereas c-tPCS at 4 Hz had no significant effect on theta power. a-tPCS at 75 Hz produced no changes in high gamma power compared with sham. Importantly, c-tPCS at 75 Hz led to a significant reduction in high gamma power compared with baseline, as well as compared with c-tPCS at 4 Hz and sham stimulation. Conclusion: The results demonstrate the modulation of oscillatory brain activity by monophasic tPCS, and highlight the need for future studies on a larger scale to confirm these initial findings. Impact statement Transcranial pulsed current stimulation (tPCS) is a novel brain stimulation technique. Recently, tPCS has been introduced to directly modulate brain oscillations by applying pulsatile current over the target brain area. Using both anodal and cathodal monophasic tPCS at theta and gamma frequencies, we demonstrate the ability of the stimulation to modulate brain activity. The present findings are the first direct electroencephalography evidence of an interaction between tPCS and ongoing oscillatory activity in the human motor cortex. Our work recommends tPCS as a tool for investigating human brain oscillations and open more studies in this area.
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Affiliation(s)
- Thusharika Dissanayaka
- Non-invasive Brain Stimulation & Neuroplasticity Laboratory, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Maryam Zoghi
- Department of Rehabilitation, Nutrition and Sport, School of Allied Health, La Trobe University, Melbourne, Australia
| | - Aron T Hill
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada
| | - Michael Farrell
- Monash Biomedical Imaging, Monash University, Melbourne, Australia.,Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Shapour Jaberzadeh
- Non-invasive Brain Stimulation & Neuroplasticity Laboratory, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
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35
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Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics. Neurosci Biobehav Rev 2020; 112:553-584. [DOI: 10.1016/j.neubiorev.2019.12.024] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 10/20/2019] [Accepted: 12/13/2019] [Indexed: 01/08/2023]
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36
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Wiesman AI, Koshy SM, Heinrichs-Graham E, Wilson TW. Beta and gamma oscillations index cognitive interference effects across a distributed motor network. Neuroimage 2020; 213:116747. [PMID: 32179103 DOI: 10.1016/j.neuroimage.2020.116747] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/25/2020] [Accepted: 03/13/2020] [Indexed: 10/24/2022] Open
Abstract
The planning and execution of an efficient motor plan is essential to everyday cognitive function, and relies on oscillatory neural responses in both the beta (14-30 Hz) and gamma (>30 Hz) bands. Such motor control requires not only the integration of salient information from the environment, but also the inhibition of irrelevant or distracting inputs that often manifest as forms of cognitive interference. While the effects of cognitive interference on motor neural dynamics has been an area of increasing interest recently, it remains unclear whether different subtypes of interference differentially impact these dynamics. We address this issue using magnetoencephalography and a novel adaptation of the Multi-Source Interference Task, wherein two common subtypes of cognitive interference are each presented in isolation, as well as simultaneously. We find evidence for the subtype-invariant indexing of cognitive interference across a widely distributed set of motor regions oscillating in the beta range, including the bilateral primary motor and posterior parietal cortices. Further, we find that superadditive effects of cognitive interference subtypes on behavior are paralleled by gamma oscillations in the contralateral premotor cortex, and determine that these gamma oscillations also predict the superadditive effects on behavior.
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Affiliation(s)
- Alex I Wiesman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA
| | - Sam M Koshy
- Center for Magnetoencephalography, UNMC, Omaha, NE, USA; Department of Biology, Creighton University, Omaha, NE, USA
| | | | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA.
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37
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Mastakouri AA, Scholkopf B, Grosse-Wentrup M. Beta Power May Meditate the Effect of Gamma-TACS on Motor Performance. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2019:5902-5908. [PMID: 31947193 DOI: 10.1109/embc.2019.8856416] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Transcranial alternating current stimulation (tACS) is becoming an important method in the field of motor rehabilitation because of its ability to non-invasively influence ongoing brain oscillations at arbitrary frequencies. However, substantial variations in its effect across individuals are reported, making tACS a currently unreliable treatment tool. One reason for this variability is the lack of knowledge about the exact way tACS entrains and interacts with ongoing brain oscillations. The present crossover stimulation study on 20 healthy subjects contributes to the understanding of cross-frequency effects of gamma (70 Hz) tACS over the contralateral motor cortex by providing empirical evidence which is consistent with a role of low- (12 -20 Hz) and high- (20- 30 Hz) beta power as a mediator of gamma-tACS on motor performance.
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38
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Hill RM, Boto E, Holmes N, Hartley C, Seedat ZA, Leggett J, Roberts G, Shah V, Tierney TM, Woolrich MW, Stagg CJ, Barnes GR, Bowtell R, Slater R, Brookes MJ. A tool for functional brain imaging with lifespan compliance. Nat Commun 2019; 10:4785. [PMID: 31690797 PMCID: PMC6831615 DOI: 10.1038/s41467-019-12486-x] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 09/05/2019] [Indexed: 02/04/2023] Open
Abstract
The human brain undergoes significant functional and structural changes in the first decades of life, as the foundations for human cognition are laid down. However, non-invasive imaging techniques to investigate brain function throughout neurodevelopment are limited due to growth in head-size with age and substantial head movement in young participants. Experimental designs to probe brain function are also limited by the unnatural environment typical brain imaging systems impose. However, developments in quantum technology allowed fabrication of a new generation of wearable magnetoencephalography (MEG) technology with the potential to revolutionise electrophysiological measures of brain activity. Here we demonstrate a lifespan-compliant MEG system, showing recordings of high fidelity data in toddlers, young children, teenagers and adults. We show how this system can support new types of experimental paradigm involving naturalistic learning. This work reveals a new approach to functional imaging, providing a robust platform for investigation of neurodevelopment in health and disease. Magnetoencephalography (MEG) recordings are sensitive to movement and therefore are especially challenging with young participants. Here the authors develop a wearable MEG system based on a modified bicycle helmet, which enables reliable recordings in toddlers, children, teenagers and adults.
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Affiliation(s)
- Ryan M Hill
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Elena Boto
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Niall Holmes
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Caroline Hartley
- Department of Paediatrics, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Zelekha A Seedat
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - James Leggett
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Gillian Roberts
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Vishal Shah
- QuSpin Inc., 2011 Cherry Street, Unit 112, Louisville, CO, 80027, USA
| | - Tim M Tierney
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, United Kingdom
| | - Mark W Woolrich
- Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuro-Imaging, Department of psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, United Kingdom
| | - Charlotte J Stagg
- Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuro-Imaging, Department of psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, United Kingdom
| | - Gareth R Barnes
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, United Kingdom
| | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Rebeccah Slater
- Department of Paediatrics, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, United Kingdom
| | - Matthew J Brookes
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom.
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Spooner RK, Wiesman AI, Proskovec AL, Heinrichs-Graham E, Wilson TW. Prefrontal theta modulates sensorimotor gamma networks during the reorienting of attention. Hum Brain Mapp 2019; 41:520-529. [PMID: 31621977 PMCID: PMC7268018 DOI: 10.1002/hbm.24819] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/23/2019] [Accepted: 09/30/2019] [Indexed: 12/17/2022] Open
Abstract
The ability to execute a motor plan involves spatiotemporally precise oscillatory activity in primary motor (M1) regions, in concert with recruitment of “higher order” attentional mechanisms for orienting toward current task goals. While current evidence implicates gamma oscillatory activity in M1 as central to the execution of a movement, far less is known about top‐down attentional modulation of this response. Herein, we utilized magnetoencephalography (MEG) during a Posner attention‐reorienting task to investigate top‐down modulation of M1 gamma responses by frontal attention networks in 63 healthy adult participants. MEG data were evaluated in the time–frequency domain and significant oscillatory responses were imaged using a beamformer. Robust increases in theta activity were found in bilateral inferior frontal gyri (IFG), with significantly stronger responses evident in trials that required attentional reorienting relative to those that did not. Additionally, strong gamma oscillations (60–80 Hz) were detected in M1 during movement execution, with similar responses elicited irrespective of attentional reorienting. Whole‐brain voxel‐wise correlations between validity difference scores (i.e., attention reorienting trials—nonreorienting trials) in frontal theta activity and movement‐locked gamma oscillations revealed a robust relationship in the contralateral sensorimotor cortex, supplementary motor area, and right cerebellum, suggesting modulation of these sensorimotor network gamma responses by attentional reorienting. Importantly, the validity difference effect in this distributed motor network was predictive of overall motor function measured outside the scanner and further, based on a mediation analysis this relationship was fully mediated by the reallocation response in the right IFG. These data are the first to characterize the top‐down modulation of movement‐related gamma responses during attentional reorienting and movement execution.
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Affiliation(s)
- Rachel K Spooner
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.,Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, Nebraska
| | - Alex I Wiesman
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.,Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, Nebraska
| | - Amy L Proskovec
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, Nebraska.,Department of Psychology, University of Nebraska, Omaha, Nebraska
| | - Elizabeth Heinrichs-Graham
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.,Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, Nebraska
| | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.,Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, Nebraska
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40
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Spay C, Meyer G, Lio G, Pezzoli G, Ballanger B, Cilia R, Boulinguez P. Resting state oscillations suggest a motor component of Parkinson's Impulse Control Disorders. Clin Neurophysiol 2019; 130:2065-2075. [PMID: 31541984 DOI: 10.1016/j.clinph.2019.08.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 07/02/2019] [Accepted: 08/14/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Impulse control disorders (ICDs) in Parkinson's disease (PD) have been associated with cognitive impulsivity and dopaminergic dysfunction and treatment. The present study tests the neglected hypothesis that the neurofunctional networks involved in motor impulsivity might also be dysfunctional in PD-ICDs. METHODS We performed blind spectral analyses of resting state electroencephalographic (EEG) data in PD patients with and without ICDs to probe the functional integrity of all cortical networks. Analyses were performed directly at the source level after blind source separation. Discrete differences between groups were tested by comparing patients with and without ICDs. Gradual dysfunctions were assessed by means of correlations between power changes and clinical scores reflecting ICD severity (QUIP score). RESULTS Spectral signatures of ICDs were found in the medial prefrontal cortex, the dorsal anterior cingulate and the supplementary motor area, in the beta and gamma bands. Beta power changes in the supplementary motor area were found to predict ICDs severity. CONCLUSION ICDs are associated with abnormal activity within frequency bands and cortical circuits supporting the control of motor response inhibition. SIGNIFICANCE These results bring to the forefront the need to consider, in addition to the classical interpretation based on aberrant mesocorticolimbic reward processing, the issue of motor impulsivity in PD-ICDs and its potential implications for PD therapy.
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Affiliation(s)
- Charlotte Spay
- Université de Lyon, 92 rue Pasteur, 69007 Lyon, France; Université Lyon 1, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne, France; INSERM, U 1028, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France; CNRS, UMR 5292, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France
| | - Garance Meyer
- Université de Lyon, 92 rue Pasteur, 69007 Lyon, France; Université Lyon 1, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne, France; INSERM, U 1028, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France; CNRS, UMR 5292, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France
| | - Guillaume Lio
- Centre de Neuroscience Cognitive, UMR 5229, 67 boulevard Pinel, 69675 Bron, France
| | - Gianni Pezzoli
- Parkinson Institute, ASST Gaetano Pini-CTO, Via bignami 1, 20126 Milan, Italy
| | - Bénédicte Ballanger
- Université de Lyon, 92 rue Pasteur, 69007 Lyon, France; Université Lyon 1, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne, France; INSERM, U 1028, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France; CNRS, UMR 5292, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France
| | - Roberto Cilia
- Parkinson Institute, ASST Gaetano Pini-CTO, Via bignami 1, 20126 Milan, Italy
| | - Philippe Boulinguez
- Université de Lyon, 92 rue Pasteur, 69007 Lyon, France; Université Lyon 1, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne, France; INSERM, U 1028, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France; CNRS, UMR 5292, Lyon Neuroscience Research Center, 95 boulevard Pinel, 69500 Bron, France.
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41
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Wilson TW, Lew BJ, Spooner RK, Rezich MT, Wiesman AI. Aberrant brain dynamics in neuroHIV: Evidence from magnetoencephalographic (MEG) imaging. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:285-320. [PMID: 31481167 DOI: 10.1016/bs.pmbts.2019.04.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Magnetoencephalography (MEG) is a noninvasive, silent, and totally passive neurophysiological imaging method with excellent temporal resolution (~1ms) and good spatial precision (~3-5mm). While MEG studies of neuroHIV remain relatively rare, the number of studies per year has sharply increased recently and this trend will likely continue into the foreseeable future. The current in-depth review focuses on the studies that have been conducted to date, which include investigations of somatosensory and visual modalities, resting-state, as well as motor control and higher-level functions such as working memory and visual attention. The review begins with an introduction to the principles and methods of MEG, and then transitions to a review of each of the empirical studies that have been conducted to date, separated by sensory modality for the basic studies and cognitive domain for the higher-level investigations. As such, this review attempts to be exhaustive in its coverage of empirical MEG studies of neuroHIV. Across studies major themes emerge including aberrant neural oscillatory activity in HIV-infected adults, both in primary sensory regions of the brain and higher-order executive regions. Many studies have also connected the amplitude of neural oscillations to behavioral and/or neuropsychological function in the study population, making a vital connection to performance and improving the veracity of the findings. One conspicuous emerging area is the use of MEG to distinguish cognitively-impaired from unimpaired HIV-infected adults, with major success reported and future studies sure to come. The review concludes with a summary of findings and suggested focus areas for future studies.
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Affiliation(s)
- Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, United States; Center for Magnetoencephalography, UNMC, Omaha, NE, United States.
| | - Brandon J Lew
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, United States; Center for Magnetoencephalography, UNMC, Omaha, NE, United States
| | - Rachel K Spooner
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, United States; Center for Magnetoencephalography, UNMC, Omaha, NE, United States
| | - Michael T Rezich
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, United States; Center for Magnetoencephalography, UNMC, Omaha, NE, United States
| | - Alex I Wiesman
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, United States; Center for Magnetoencephalography, UNMC, Omaha, NE, United States
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42
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Carver FW, Rubinstein DY, Gerlich AH, Fradkin SI, Holroyd T, Coppola R. Prefrontal high gamma during a magnetoencephalographic working memory task. Hum Brain Mapp 2018; 40:1774-1785. [PMID: 30556224 DOI: 10.1002/hbm.24489] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 11/09/2018] [Accepted: 11/27/2018] [Indexed: 12/18/2022] Open
Abstract
In human electrophysiology research, the high gamma part of the power spectrum (~>60 Hz) is a relatively new area of investigation. Despite a low signal-to-noise ratio, evidence exists that it contains significant information about activity in local cortical networks. Here, using magnetoencephalography (MEG), we found high gamma activity when comparing data from an n-back working memory task to resting data in a large sample of normal volunteers. Initial analysis of power spectra from 0-back, 2-back, and rest trials showed three frequency bands exhibiting task-related differences: alpha, beta, and high gamma. Unlike alpha and beta, the high gamma spectrum was broad, without a peak at a single frequency. In addition, power in high gamma was highest for the 2-back and lowest during rest, while the opposite pattern occurred in the other bands. Beamformer source localization of each of the three frequency bands revealed a distinct set of sources for high gamma. These included several regions of prefrontal cortex that exhibited greater power when both n-back conditions were compared to rest. A subset of these regions had more power when the 2-back was compared to 0-back, which indicates a role in working memory performance. Our results show that high gamma will be important for understanding cortical processing during cognitive and other tasks. Furthermore, data from human intracortical recordings suggest that high gamma is the aggregate of spiking in local cortical networks, which implies that MEG could serve to bridge experimental modalities by noninvasively observing task-related modulation of spiking rates.
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Affiliation(s)
| | - Dani Y Rubinstein
- Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Bethesda, Maryland
| | - Alan H Gerlich
- MEG Core Facility, National Institutes of Health, Bethesda, Maryland
| | | | - Tom Holroyd
- MEG Core Facility, National Institutes of Health, Bethesda, Maryland
| | - Richard Coppola
- MEG Core Facility, National Institutes of Health, Bethesda, Maryland.,Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Bethesda, Maryland
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43
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Modulation of Motor Learning Capacity by Transcranial Alternating Current Stimulation. Neuroscience 2018; 391:131-139. [DOI: 10.1016/j.neuroscience.2018.09.013] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 09/05/2018] [Accepted: 09/10/2018] [Indexed: 11/18/2022]
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Guerra A, Bologna M, Paparella G, Suppa A, Colella D, Di Lazzaro V, Brown P, Berardelli A. Effects of Transcranial Alternating Current Stimulation on Repetitive Finger Movements in Healthy Humans. Neural Plast 2018; 2018:4593095. [PMID: 30123248 PMCID: PMC6079362 DOI: 10.1155/2018/4593095] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 04/24/2018] [Accepted: 05/23/2018] [Indexed: 02/04/2023] Open
Abstract
Transcranial alternating current stimulation (tACS) is a noninvasive neurophysiological technique that can entrain brain oscillations. Only few studies have investigated the effects of tACS on voluntary movements. We aimed to verify whether tACS, delivered over M1 at beta and gamma frequencies, has any effect on repetitive finger tapping as assessed by means of kinematic analysis. Eighteen healthy subjects were enrolled. Objective measurements of repetitive finger tapping were obtained by using a motion analysis system. M1 excitability was assessed by using single-pulse TMS and measuring the amplitude of motor-evoked potentials (MEPs). Movement kinematic measures and MEPs were collected during beta, gamma, and sham tACS and when the stimulation was off. Beta tACS led to an amplitude decrement (i.e., progressive reduction in amplitude) across the first ten movements of the motor sequence while gamma tACS had the opposite effect. The results did not reveal any significant effect of tACS on other movement parameters, nor any changes in MEPs. These findings demonstrate that tACS modulates finger tapping in a frequency-dependent manner with no concurrent changes in corticospinal excitability. The results suggest that cortical beta and gamma oscillations are involved in the motor control of repetitive finger movements.
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Affiliation(s)
| | - Matteo Bologna
- Neuromed Institute IRCCS, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giulia Paparella
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Antonio Suppa
- Neuromed Institute IRCCS, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Donato Colella
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico, Rome, Italy
| | - Peter Brown
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Medical Research Council Brain Network Dynamics Unit, Department of Pharmacology, University of Oxford, Mansfield Road, Oxford, UK
| | - Alfredo Berardelli
- Neuromed Institute IRCCS, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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45
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Cortical Oscillatory Mechanisms Supporting the Control of Human Social-Emotional Actions. J Neurosci 2018; 38:5739-5749. [PMID: 29793973 DOI: 10.1523/jneurosci.3382-17.2018] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 04/17/2018] [Accepted: 05/11/2018] [Indexed: 12/11/2022] Open
Abstract
The human anterior prefrontal cortex (aPFC) is involved in regulating social-emotional behavior, presumably by modulating effective connectivity with downstream parietal, limbic, and motor cortices. Regulating that connectivity might rely on theta-band oscillations (4-8 Hz), a brain rhythm known to create overlapping periods of excitability between distant regions by temporally releasing neurons from inhibition. Here, we used MEG to understand how aPFC theta-band oscillations implement control over prepotent social-emotional behaviors; that is, the control over automatically elicited approach and avoidance actions. Forty human male participants performed a social approach-avoidance task in which they approached or avoided visually displayed emotional faces (happy or angry) by pulling or pushing a joystick. Approaching angry and avoiding happy faces (incongruent condition) requires rapid application of cognitive control to override prepotent habitual action tendencies to approach appetitive and to avoid aversive situations. In the time window before response delivery, trial-by-trial variations in aPFC theta-band power (6 Hz) predicted reaction time increases during emotional control and were inversely related to beta-band power (14-22 Hz) over parietofrontal cortex. In sensorimotor areas contralateral to the moving hand, premovement gamma-band rhythms (60-90 Hz) were stronger during incongruent than congruent trials, with power increases phase locked to peaks of the aPFC theta-band oscillations. These findings define a mechanistic relation between cortical areas involved in implementing rapid control over human social-emotional behavior. The aPFC may bias neural processing toward rule-driven actions and away from automatic emotional tendencies by coordinating tonic disinhibition and phasic enhancement of parietofrontal circuits involved in action selection.SIGNIFICANCE STATEMENT Being able to control social-emotional behavior is crucial for successful participation in society, as is illustrated by the severe social and occupational difficulties experienced by people suffering from social motivational disorders such as social anxiety. In this study, we show that theta-band oscillations in the anterior prefrontal cortex (aPFC), which are thought to provide temporal organization for neural firing during communication between distant brain areas, facilitate this control by linking aPFC to parietofrontal beta-band and sensorimotor gamma-band oscillations involved in action selection. These results contribute to a mechanistic understanding of cognitive control over automatic social-emotional action and point to frontal theta-band oscillations as a possible target of rhythmic neurostimulation techniques during treatment for social anxiety.
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Guerra A, Suppa A, Bologna M, D'Onofrio V, Bianchini E, Brown P, Di Lazzaro V, Berardelli A. Boosting the LTP-like plasticity effect of intermittent theta-burst stimulation using gamma transcranial alternating current stimulation. Brain Stimul 2018; 11:734-742. [PMID: 29615367 DOI: 10.1016/j.brs.2018.03.015] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/27/2018] [Accepted: 03/22/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Transcranial Alternating Current Stimulation (tACS) consists in delivering electric current to the brain using an oscillatory pattern that may entrain the rhythmic activity of cortical neurons. When delivered at gamma frequency, tACS modulates motor performance and GABA-A-ergic interneuron activity. OBJECTIVE Since interneuronal discharges play a crucial role in brain plasticity phenomena, here we co-stimulated the primary motor cortex (M1) in healthy subjects by means of tACS during intermittent theta-burst stimulation (iTBS), a transcranial magnetic stimulation paradigm known to induce long-term potentiation (LTP)-like plasticity. METHODS We measured and compared motor evoked potentials before and after gamma, beta and sham tACS-iTBS. While we delivered gamma-tACS, we also measured short-interval intracortical inhibition (SICI) to detect any changes in GABA-A-ergic neurotransmission. RESULTS Gamma, but not beta and sham tACS, significantly boosted and prolonged the iTBS-induced after-effects. Interestingly, the extent of the gamma tACS-iTBS after-effects correlated directly with SICI changes. CONCLUSIONS Overall, our findings point to a link between gamma oscillations, interneuronal GABA-A-ergic activity and LTP-like plasticity in the human M1. Gamma tACS-iTBS co-stimulation might represent a new strategy to enhance and prolong responses to plasticity-inducing protocols, thereby lending itself to future applications in the neurorehabilitation setting.
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Affiliation(s)
- Andrea Guerra
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Antonio Suppa
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy; IRCCS Neuromed Institute, Via Atinense 18, 86077, Pozzilli, IS, Italy
| | - Matteo Bologna
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy; IRCCS Neuromed Institute, Via Atinense 18, 86077, Pozzilli, IS, Italy
| | - Valentina D'Onofrio
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Edoardo Bianchini
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Peter Brown
- Medical Research Council Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico, via Álvaro del Portillo 21, 00128, Rome, Italy
| | - Alfredo Berardelli
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy; IRCCS Neuromed Institute, Via Atinense 18, 86077, Pozzilli, IS, Italy.
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47
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Ahn S, Cho H, Kwon M, Kim K, Kwon H, Kim BS, Chang WS, Chang JW, Jun SC. Interbrain phase synchronization during turn-taking verbal interaction-a hyperscanning study using simultaneous EEG/MEG. Hum Brain Mapp 2017; 39:171-188. [PMID: 29024193 DOI: 10.1002/hbm.23834] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 09/04/2017] [Accepted: 09/22/2017] [Indexed: 01/25/2023] Open
Abstract
Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us to discover new and important evidences of interbrain interactions. Yet, very little is known about verbal interaction without any visual input. Therefore, we conducted a new hyperscanning study based on verbal, interbrain turn-taking interaction using simultaneous EEG/MEG, which measures rapidly changing brain activities. To establish turn-taking verbal interactions between a pair of subjects, we set up two EEG/MEG systems (19 and 146 channels of EEG and MEG, respectively) located ∼100 miles apart. Subjects engaged in verbal communication via condenser microphones and magnetic-compatible earphones, and a network time protocol synchronized the two systems. Ten subjects participated in this experiment and performed verbal interaction and noninteraction tasks separately. We found significant oscillations in EEG alpha and MEG alpha/gamma bands in several brain regions for all subjects. Furthermore, we estimated phase synchronization between two brains using the weighted phase lag index and found statistically significant synchronization in EEG and MEG data. Our novel paradigm and neurophysiological findings may foster a basic understanding of the functional mechanisms involved in human social interactions. Hum Brain Mapp 39:171-188, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Sangtae Ahn
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Hohyun Cho
- New York State Department of Health, Wadsworth Center, Albany, New York
| | - Moonyoung Kwon
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Kiwoong Kim
- Center for Biosignals, Korea Research Institute of Standards and Science, Daejeon, South Korea.,Department of Medical Physics, University of Science and Technology, Daejeon, South Korea
| | - Hyukchan Kwon
- Center for Biosignals, Korea Research Institute of Standards and Science, Daejeon, South Korea
| | - Bong Soo Kim
- EIT/LOFUS R&D Center, Institute for Integrative Medicine, College of Medicine, Catholic Kwandong University, Gangneung-si, Gangwon-do, South Korea.,Catholic Kwandong University International St. Mary's Hospital, Incheon, South Korea
| | - Won Seok Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Woo Chang
- Department of Neurosurgery, Brain Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Chan Jun
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea
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48
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Heinrichs-Graham E, Hoburg JM, Wilson TW. The peak frequency of motor-related gamma oscillations is modulated by response competition. Neuroimage 2017; 165:27-34. [PMID: 28966082 DOI: 10.1016/j.neuroimage.2017.09.059] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 08/29/2017] [Accepted: 09/27/2017] [Indexed: 12/28/2022] Open
Abstract
Movement execution generally occurs in an environment with numerous distractors, and requires the selection of a motor plan from multiple possible alternatives. However, the impact of such distractors on cortical motor function during movement remains largely unknown. Previous studies have identified two movement-related oscillatory responses that are critical to motor planning and execution, and these responses include the peri-movement beta event-related desynchronization (ERD) and the movement-related gamma synchronization (MRGS). In the current study, we investigate how visual distractors cuing alternative movements modulate the beta ERD and MRGS responses. To this end, we recorded magnetoencephalography (MEG) during an arrow-based version of the Eriksen flanker task in 42 healthy adults. All MEG data were transformed in to the time-frequency domain and the beta ERD and MRGS responses were imaged using a beamformer. Virtual sensors (voxel time series) were then extracted from the peak voxels of each response for the congruent and incongruent flanker conditions separately, and these data were examined for conditional differences during the movement. Our results indicated that participants exhibited the classic "flanker effect," as they responded significantly slower during incongruent relative to congruent trials. Our most important MEG finding was a significant increase in the peak frequency of the MRGS in the incongruent compared to the congruent condition, with no conditional effect on response amplitude. In addition, we found significantly stronger peri-movement beta ERD responses in the ipsilateral motor cortex during incongruent compared to congruent trials, but no conditional effect on frequency. These data are the first to show that the peak frequency of the MRGS response is linked to the task parameters, and varies from trial to trial in individual participants. More globally, these data suggest that beta and gamma oscillations are modulated by visual distractors causing response competition.
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Affiliation(s)
- Elizabeth Heinrichs-Graham
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA.
| | | | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, USA; Center for Magnetoencephalography, UNMC, Omaha, NE, USA
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Driving Human Motor Cortical Oscillations Leads to Behaviorally Relevant Changes in Local GABA A Inhibition: A tACS-TMS Study. J Neurosci 2017; 37:4481-4492. [PMID: 28348136 PMCID: PMC5413186 DOI: 10.1523/jneurosci.0098-17.2017] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 03/02/2017] [Accepted: 03/08/2017] [Indexed: 12/23/2022] Open
Abstract
Beta and gamma oscillations are the dominant oscillatory activity in the human motor cortex (M1). However, their physiological basis and precise functional significance remain poorly understood. Here, we used transcranial magnetic stimulation (TMS) to examine the physiological basis and behavioral relevance of driving beta and gamma oscillatory activity in the human M1 using transcranial alternating current stimulation (tACS). tACS was applied using a sham-controlled crossover design at individualized intensity for 20 min and TMS was performed at rest (before, during, and after tACS) and during movement preparation (before and after tACS). We demonstrated that driving gamma frequency oscillations using tACS led to a significant, duration-dependent decrease in local resting-state GABAA inhibition, as quantified by short interval intracortical inhibition. The magnitude of this effect was positively correlated with the magnitude of GABAA decrease during movement preparation, when gamma activity in motor circuitry is known to increase. In addition, gamma tACS-induced change in GABAA inhibition was closely related to performance in a motor learning task such that subjects who demonstrated a greater increase in GABAA inhibition also showed faster short-term learning. The findings presented here contribute to our understanding of the neurophysiological basis of motor rhythms and suggest that tACS may have similar physiological effects to endogenously driven local oscillatory activity. Moreover, the ability to modulate local interneuronal circuits by tACS in a behaviorally relevant manner provides a basis for tACS as a putative therapeutic intervention.SIGNIFICANCE STATEMENT Gamma oscillations have a vital role in motor control. Using a combined tACS-TMS approach, we demonstrate that driving gamma frequency oscillations modulates GABAA inhibition in the human motor cortex. Moreover, there is a clear relationship between the change in magnitude of GABAA inhibition induced by tACS and the magnitude of GABAA inhibition observed during task-related synchronization of oscillations in inhibitory interneuronal circuits, supporting the hypothesis that tACS engages endogenous oscillatory circuits. We also show that an individual's physiological response to tACS is closely related to their ability to learn a motor task. These findings contribute to our understanding of the neurophysiological basis of motor rhythms and their behavioral relevance and offer the possibility of developing tACS as a therapeutic tool.
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50
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Zhang L, Gan JQ, Wang H. Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method. Cogn Neurodyn 2015; 9:495-508. [PMID: 26379800 PMCID: PMC4568001 DOI: 10.1007/s11571-015-9345-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Revised: 04/29/2015] [Accepted: 05/18/2015] [Indexed: 11/29/2022] Open
Abstract
Based on the neural efficiency hypothesis and task-induced EEG gamma-band response (GBR), this study investigated the brain regions where neural resource could be most efficiently recruited by the math-gifted adolescents in response to varying cognitive demands. In this experiment, various GBR-based mental states were generated with three factors (level of mathematical ability, task complexity, and short-term learning) modulating the level of neural activation. A feature subset selection method based on the sequential forward floating search algorithm was used to identify an "optimal" combination of EEG channel locations, where the corresponding GBR feature subset could obtain the highest accuracy in discriminating pairwise mental states influenced by each experiment factor. The integrative results from multi-factor selections suggest that the right-lateral fronto-parietal system is highly involved in neural efficiency of the math-gifted brain, primarily including the bilateral superior frontal, right inferior frontal, right-lateral central and right temporal regions. By means of the localization method based on single-trial classification of mental states, new GBR features and EEG channel-based brain regions related to mathematical giftedness were identified, which could be useful for the brain function improvement of children/adolescents in mathematical learning through brain-computer interface systems.
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Affiliation(s)
- Li Zhang
- />Key Lab of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096 Jiangsu China
| | - John Q. Gan
- />Key Lab of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096 Jiangsu China
- />School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
| | - Haixian Wang
- />Key Lab of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096 Jiangsu China
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