Theta oscillations reflect a putative neural mechanism for human sensorimotor integration

Cruikshank, Leanna C.; Singhal, Anthony; Hueppelsheuser, Mark; Caplan, Jeremy B.

doi:10.1152/jn.00893.2010

Cited by 97 publications

(83 citation statements)

References 98 publications

(101 reference statements)

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“…Overall, our finding was in line with the theory that theta band is involved in sensorimotor integration and that it reflects computational processes near behavioural decision points (Cruikshank et al, 2012;Rawle et al, 2012;Womelsdorf et al, 2010).…”

Section: Theta Signal Over Parieto-occipital Regionssupporting

confidence: 90%

“…Several previous experiments explained central theta power increases with neural processing related to either sensorimotor integration or to behavioural decision points (Cheyne et al, 2012;Cruikshank et al, 2012;Rawle et al, 2012;Womelsdorf et al, 2010). Furthermore, experiments reported increased theta activity during action initiation compared to action preparation (Cheyne et al, 2012;Cruikshank et al, 2012).…”

Section: Theta Band Activitymentioning

confidence: 94%

“…While this cortical activity has been implicated in various cognitive functions, recent literature presses its importance in sensorimotor integration during movement initiation (Bland & Oddie, 2001;Cheyne et al, 2012;Cruikshank et al, 2012;Rawle et al, 2012;Perfetti et al, 211;Tombini et al, 2009). Theta band activity is reported to show an increased amplitude before movement execution, a reverse pattern compared to alpha and beta related oscillation, but at the same sensorimotor location (Cruikshank et al, 2012).…”

Section: Neural Oscillationsmentioning

confidence: 99%

“…Furthermore, experiments reported increased theta activity during action initiation compared to action preparation (Cheyne et al, 2012;Cruikshank et al, 2012). For example, Cheyne et al (2012) described that theta power showed a consistent increase related to action execution, with maximal power around 100ms before action execution.…”

Section: Theta Band Activitymentioning

confidence: 99%

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Neural processes for action observation

Halász¹

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Through actions we explore the world around us, we express ourselves, achieve goals and interact with others. We are thinking about actions, planning, executing, imitating, observing, and understanding them. In other words, our life is filled with motor cognition. Yet our knowledge of the brain processes underlying these tasks is limited.Based on extensive literature we know that action observation and production share common neural mechanisms and a common neural network. Throughout the studies in this thesis, I use this connection to explore neural processes related to motor cognition.In the first chapter, I examine current theories on action observation and identify key concepts investigated in the later experiments. I review a wide range of literature from the fields of neural disorders and healthy participants tested on various tasks, such as visual illusions, motor expertise, and conscious and unconscious visual processing. Focusing on the bidirectional information flow between motor and perceptual areas, I examine how well the common coding theory, the direct matching hypothesis, and predictive coding models fit the current experimental results. I argue that, while predictive coding theories are best to explain the wide variety of results related to motor cognition, there are still important questions unanswered in the literature. There is a relative lack of studies investigating motor cognition in close-tonatural settings, and attentional modulation is often ignored. Furthermore, more research is needed to explore the spatial and temporal dynamics of how observed and executed actions present on the neural level.In the first experiment, I investigate how the brain processes actions when they are not consciously attended. I recorded brain activity related to action observation under an attentionally demanding visual task. Data indicate that even when our attention is directed away from actions both the motor and perceptual systems -as part of the action observation network-show a systematic change depending on the novelty of action properties. The results of this experiment also suggest that action related information is prioritised even when attentional resources are limited. In the second experiment, I examined how attention on specific action representations, such as kinematics, goals and agency, influences brain response during the processing of actions. The results of this experiment suggest that, even though novelty-related 3 changes are very strong throughout in the action observation network, attention can specifically modulate neural activity to enhance the processing of task-specific information.Finally, in the third experiment, I investigated how a common system can deal with the parallel processing of action execution and observation. I aimed to give a comprehensive picture of neural activity related to motor cognition, and thus analysed event-related magnetic field activity and power changes in theta, alpha and beta frequency bands. Data indicated that neural processes are sensitive to ...

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Section: Theta Signal Over Parieto-occipital Regionssupporting

confidence: 90%

Section: Theta Band Activitymentioning

confidence: 94%

Section: Neural Oscillationsmentioning

confidence: 99%

Section: Theta Band Activitymentioning

confidence: 99%

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Neural processes for action observation

Halász¹

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“…For each time segment, we calculated the amplitude power of EEG within the theta range [total power (TP), 4 -12 Hz] and mean power frequency of EEG within the theta range (Frq). On the basis of evidence from the sensorimotor integration model (Bland and Oddie 2001;Bland and Vanderwolf 1972;Cruikshank et al 2012), the theta frequency range was divided into three subbands: low frequency (LT, 4 -6.5 Hz), middle frequency (MT, 6.5-9.5 Hz), and high frequency (HT, 9.5-12 Hz) (Gutierrez-Guzman et al 2011;Olvera-Cortes et al 2002).…”

Section: Methodsmentioning

confidence: 99%

Voluntary and involuntary running in the rat show different patterns of theta rhythm, physical activity, and heart rate

Kuo

Yen³

et al. 2014

Journal of Neurophysiology

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CC. Voluntary and involuntary running in the rat show different patterns of theta rhythm, physical activity, and heart rate. J Neurophysiol 111: 2061-2070, 2014. First published March 12, 2014 doi:10.1152/jn.00475.2013.-Involuntarily exercising rats undergo more physical and mental stress than voluntarily exercising rats; however, these findings still lack electrophysiological evidence. Many studies have reported that theta rhythm appears when there is mental stress and that it is affected by emotional status. Thus we hypothesized that the differences between voluntary and involuntary movement should also exist in the hippocampal theta rhythm. Using the wheel and treadmill exercise models as voluntary and involuntary exercise models, respectively, this study wirelessly recorded the hippocampal electroencephalogram, electrocardiogram, and three-dimensional accelerations of young male rats. Treadmill and wheel exercise produced different theta patterns in the rats before and during running. Even though the waking baselines for the two exercise types were recorded in different environments, there did not exist any significant difference after distinguishing the rats' sleep/wake status. When the same movement-related parameters are considered, the treadmill running group showed more changes in their theta frequency (4 -12 Hz), in their theta power between 9.5-12 Hz, and in their heart rate than the wheel running group. A positive correlation between the changes in high-frequency (9.5-12 Hz) theta power and heart rate was identified. Our results reveal various voluntary and involuntary changes in hippocampal theta rhythm as well as divergences in heart rate and high-frequency theta activity that may represent the effects of an additional emotional state or the sensory interaction during involuntary running by rats. wheel running; treadmill running; hippocampal theta rhythm; physical activity; heart rate

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Low‐Frequency Brain Oscillations Track Motor Recovery in Human Stroke

Bönstrup

Krawinkel

Schulz

et al. 2019

Annals of Neurology

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Objective The majority of patients with stroke survive the acute episode and live with enduring disability. Effective therapies to support recovery of motor function after stroke are yet to be developed. Key to this development is the identification of neurophysiologic signals that mark recovery and are suitable and susceptible to interventional therapies. Movement preparatory low‐frequency oscillations (LFOs) play a key role in cortical control of movement. Recent animal data point to a mechanistic role of motor cortical LFOs in stroke motor deficits and demonstrate neuromodulation intervention with therapeutic benefit. Their relevance in human stroke pathophysiology is unknown. Methods We studied the relationship between movement‐preparatory LFOs during the performance of a visuomotor grip task and motor function in a longitudinal (<5 days, 1 and 3 months) cohort study of 33 patients with motor stroke and in 19 healthy volunteers. Results Acute stroke–lesioned brains fail to generate the LFO signal. Whereas in healthy humans, a transient occurrence of LFOs preceded movement onset at predominantly contralateral frontoparietal motor regions, recordings in patients revealed that movement‐preparatory LFOs were substantially diminished to a level of 38% after acute stroke. LFOs progressively increased at 1 and 3 months. This re‐emergence closely tracked the recovery of motor function across several movement qualities including grip strength, fine motor skills, and synergies and was frequency band specific. Interpretation Our results provide the first human evidence for a link between movement‐preparatory LFOs and functional recovery after stroke, promoting their relevance for movement control. These results suggest that it may be interesting to explore targeted, LFOs‐restorative brain stimulation therapy in human stroke patients. ANN NEUROL 2019;86:853–865

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Theta oscillations reflect a putative neural mechanism for human sensorimotor integration

Cited by 97 publications

References 98 publications

Neural processes for action observation

Neural processes for action observation

Voluntary and involuntary running in the rat show different patterns of theta rhythm, physical activity, and heart rate

Low‐Frequency Brain Oscillations Track Motor Recovery in Human Stroke

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