Autonomic Nervous System Activity During Actual and Mentally Simulated Preparation for Movement

Bolliet, Olivier; Collet, Christian; Dittmar, A.

doi:10.1007/s10484-005-2170-2

Cited by 21 publications

(18 citation statements)

References 30 publications

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“…Studies such as those reported in [28] and [56] suggest that all four ANS-harnessed signals undergo significant changes during mental imagery tasks. More recently, studies have gauged the contribution of each peripheral autonomic signal for mental task classification [58], [59].…”

Section: B Ans Signal Contributionsmentioning

confidence: 89%

“…Dynamic time warping strategies [57] were investigated but led to no significant performance improvements. As argued in [28] and [56], mental imagery tasks can cause significant increases in skin conductance levels, heart and respiration rates, as well as a decrease in skin temperature. Recent work has also shown significant increases in NIRS raw signal amplitudes during mental imagery tasks [52].…”

Section: A Multimodal Mental State Classificationmentioning

confidence: 92%

“…Polygraphy studies have shown that electrodermal reactions can be controlled via mental relaxation exercises [55]. The mental stimulation literature, in turn, has shown that mental imagery tasks, such as motor or music imagery, can be used to control several ANS signals with the degree of observed responses being proportional to the mental effort exerted by the subjects [28], [30], [32], [56].…”

Section: A Multimodal Mental State Classificationmentioning

confidence: 99%

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Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise

Falk

Guirgis

Power

et al. 2011

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-This paper reported initial findings on the effects of environmental noise and auditory distractions on the performance of mental state classification based on near-infrared spectroscopy (NIRS) signals recorded from the prefrontal cortex. Characterization of the performance losses due to environmental factors could provide useful information for the future development of NIRS-based brain-computer interfaces that can be taken beyond controlled laboratory settings and into everyday environments. Experiments with a hidden Markov model-based classifier showed that while significant performance could be attained in silent conditions, only chance levels of sensitivity and specificity were obtained in noisy environments. In order to achieve robustness against environment noise, two strategies were proposed and evaluated. First, physiological responses harnessed from the autonomic nervous system were used as complementary information to NIRS signals. More specifically, four physiological signals (electrodermal activity, skin temperature, blood volume pulse, and respiration effort) were collected in synchrony with the NIRS signals as the user sat at rest and/or performed music imagery tasks. Second, an acoustic monitoring technique was proposed and used to detect startle noise events, as both the prefrontal cortex and ANS are known to involuntarily respond to auditory startle stimuli. Experiments with eight participants showed that with a startle noise compensation strategy in place, performance comparable to that observed in silent conditions could be recovered with the hybrid ANS-NIRS system. Index Terms-Ambient noise, autonomic nervous system, hidden Markov models, music imagery, near-infrared spectroscopy.

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Section: B Ans Signal Contributionsmentioning

confidence: 89%

Section: A Multimodal Mental State Classificationmentioning

confidence: 92%

Section: A Multimodal Mental State Classificationmentioning

confidence: 99%

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Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise

Falk

Guirgis

Power

et al. 2011

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Overall, based on theoretical background related to CNS organization and on experiments with ANS data recordings, there is now ample evidence of the close link between mental processes and ANS activity. Bolliet et al (2005a) showed strong and rapid tonic heart rate variations in a group of elite weightlifters when they were requested to imagine lifting a bar. They recorded similar physiological patterns during imagined as during actual movement, although to a lesser extent by comparison with actual lifting, as previously underlined.…”

Section: The Autonomic Nervous System: a Witness Of Movement Observatmentioning

confidence: 99%

Autonomic nervous system correlates in movement observation and motor imagery

Collet

Rienzo

Hoyek

et al. 2013

Front. Hum. Neurosci.

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The purpose of the current article is to provide a comprehensive overview of the literature offering a better understanding of the autonomic nervous system (ANS) correlates in motor imagery (MI) and movement observation. These are two high brain functions involving sensori-motor coupling, mediated by memory systems. How observing or mentally rehearsing a movement affect ANS activity has not been extensively investigated. The links between cognitive functions and ANS responses are not so obvious. We will first describe the organization of the ANS whose main purposes are controlling vital functions by maintaining the homeostasis of the organism and providing adaptive responses when changes occur either in the external or internal milieu. We will then review how scientific knowledge evolved, thus integrating recent findings related to ANS functioning, and show how these are linked to mental functions. In turn, we will describe how movement observation or MI may elicit physiological responses at the peripheral level of the autonomic effectors, thus eliciting autonomic correlates to cognitive activity. Key features of this paper are to draw a step-by step progression from the understanding of ANS physiology to its relationships with high mental processes such as movement observation or MI. We will further provide evidence that mental processes are co-programmed both at the somatic and autonomic levels of the central nervous system (CNS). We will thus detail how peripheral physiological responses may be analyzed to provide objective evidence that MI is actually performed. The main perspective is thus to consider that, during movement observation and MI, ANS activity is an objective witness of mental processes.

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“…During this mental exercise, the autonomic system responds in a similar manner to actual exercise, even though muscle movement does not actually occur [94]. When elite athletes perform motor imagery of their sport, significant increases are observed in skin conductance levels, heart rate and respiration rate, while skin blood flow, skin temperature and respiration amplitude undergo significant decreases [52,95,96]. The degree of these responses is proportional to the mental effort exerted by the subject.…”

Section: Mental Stimulationmentioning

confidence: 99%

Peripheral Autonomic Signals as Access Pathways for Individuals with Severe Disabilities: A Literature Appraisal

Blain¹,

Chau

Mihailidis³

2008

TOREHJ

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Many individuals with severe and multiple disabilities do not have an access pathway that enables them to interface with their environment because they are not afforded a binary switch that they can reliably control. While recent research has focused on the self-regulation of central signals of the autonomic nervous system (ANS) to create braincomputer interfaces (BCIs) for these individuals, there has been less focus on the peripheral signals of the ANS as an access pathway. An appraisal of the literature in the areas of biofeedback, polygraphy and mental exercises uncovered considerable evidence that peripheral ANS signals can be voluntarily controlled and thus have the potential to be used as an access pathway by the target population. However, the issues of speed, metabolic noise and pathological change must be addressed before peripheral ANS signals can be used as either a complementary or alternative access pathway to existing brain-computer interfaces.

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Autonomic Nervous System Activity During Actual and Mentally Simulated Preparation for Movement

Cited by 21 publications

References 30 publications

Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise

Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise

Autonomic nervous system correlates in movement observation and motor imagery

Peripheral Autonomic Signals as Access Pathways for Individuals with Severe Disabilities: A Literature Appraisal

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