Perception of self‐generated and externally‐generated visual stimuli: Evidence from <scp>EEG</scp> and behavior

Ody, Edward; Straube, Benjamin; He, Yifei; Kircher, Tilo

doi:10.1111/psyp.14295

Cited by 5 publications

(19 citation statements)

References 87 publications

(123 reference statements)

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“…Our MVPA and RP (but not LRP) results consistently show that pre-movement neural activity encodes the action's contingency. These results emphasise the importance of pre-movement neural activity in the processing of self-and externally-generated sensory consequences (Arikan et al, 2019;Baess et al, 2011;Fuehrer et al, 2022;Lubinus et al, 2022;Martikainen et al, 2005;Ody et al, 2023;Sanmiguel et al, 2013;Straube et al, 2017).…”

Section: Discussionmentioning

confidence: 58%

“…The efference copy (von Holst & Mittelstaedt, 1950) is a copy of the motor command for a movement which is sent from the motor cortex to the appropriate sensory cortices prior to and during the execution of an action, containing a prediction for its outcome. Neural and behavioural responses to correctly predicted sensations are subsequently modulated (Arikan et al, 2019;Baess et al, 2011;Fuehrer et al, 2022;Lubinus et al, 2022;Martikainen et al, 2005;Ody et al, 2023;Press et al, 2020;Sanmiguel et al, 2013;Straube et al, 2017), allowing us to identify those sensations as our own (e.g., during speaking) and retain a sense of agency and consciousness (e.g. Blakemore & Frith, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…We employed a device which uses an electromagnet to produce the involuntary movements (passive movement device; PMD). This and similar devices have been used in several previous studies (Arikan et al, 2017(Arikan et al, , 2019Ody et al, 2023;Pazen et al, 2020;Schmitter et al, 2021;Schmitter & Straube, 2022;Straube et al, 2020;Uhlmann et al, 2020Uhlmann et al, , 2021van Kemenade et al, 2016). Participants made active (self-initiated) or passive (finger moved by device) movements.…”

Section: Introductionmentioning

confidence: 99%

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Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction

Ody¹,

Kircher²,

Straube³

et al. 2023

Preprint

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Self-initiated movements are accompanied by an efference copy, a motor command sent from motor regions to the sensory cortices, containing a prediction of the movement's sensory outcome. Previous studies have proposed pre-motor event-related potentials (ERPs), including the readiness potential (RP) and its lateralized sub-component (LRP), as neural signatures of the efference copy. However, it is not known how specific these neural markers are for voluntary (active) movements as compared to involuntary (passive) movements, which produce much of the same sensory feedback (tactile, proprioceptive) but are not accompanied by an efference copy. The goal of the current study was to investigate how active and passive movements are distinguishable from premotor EEG, and to examine if this change of neural activity differs when participants engage in tasks that differ in their expectation of sensory outcomes. Participants made active (self-initiated) or passive (finger moved by device) finger movements that lead to either visual or auditory stimuli (100 ms delay), or to no immediate contingency effects (control). We investigated the time window before the movement onset by measuring pre-movement ERPs time-locked to the button press. For RP, we observed an interaction between task and movement. This was driven by movement differences in the visual and auditory but not the control conditions. LRP conversely only showed a main effect of movement. We then used multivariate pattern analysis (MVPA) to decode movements (active vs. passive). The results revealed ramping decoding for all tasks from around -800 ms onwards up to an accuracy of ∼ 85% at the movement. Importantly, similar to RP, we observed lower decoding accuracies for the control condition than the visual and auditory conditions, but only shortly (from -200 ms) before the button press. Here we provide robust evidence that pre-movement EEG activity may represent the efference copy of voluntary actions in which the information about the subsequent sensory outcome is encoded.

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Section: Discussionmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction

Ody¹,

Kircher²,

Straube³

et al. 2023

Preprint

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show abstract

“…Different analyses from the same dataset have been reported in Ody et al (2023). The procedure is therefore the same but is reported again in brief here.…”

Section: Task and Proceduresmentioning

confidence: 99%

“…We employed a device which uses an electromagnet to produce the involuntary movements (passive movement device). This and similar devices have been used in several previous studies (Arikan et al, 2017(Arikan et al, , 2019Ody et al, 2023;Pazen et al, 2020;Schmitter et al, 2021;Schmitter & Straube, 2022;Straube et al, 2020;Uhlmann et al, 2020Uhlmann et al, , 2021van Kemenade et al, 2016). Participants made active (self-initiated) or passive (finger moved by device) movements.…”

Section: Introductionmentioning

confidence: 99%

Pre‐movement event‐related potentials and multivariate pattern of EEG encode action outcome prediction

Ody,

Kircher,

Straube

et al. 2023

Human Brain Mapping

Self Cite

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Self‐initiated movements are accompanied by an efference copy, a motor command sent from motor regions to the sensory cortices, containing a prediction of the movement's sensory outcome. Previous studies have proposed pre‐motor event‐related potentials (ERPs), including the readiness potential (RP) and its lateralized sub‐component (LRP), as potential neural markers of action feedback prediction. However, it is not known how specific these neural markers are for voluntary (active) movements as compared to involuntary (passive) movements, which produce much of the same sensory feedback (tactile, proprioceptive) but are not accompanied by an efference copy. The goal of the current study was to investigate how active and passive movements are distinguishable from premotor electroencephalography (EEG), and to examine if this change of neural activity differs when participants engage in tasks that differ in their expectation of sensory outcomes. Participants made active (self‐initiated) or passive (finger moved by device) finger movements that led to either visual or auditory stimuli (100 ms delay), or to no immediate contingency effects (control). We investigated the time window before the movement onset by measuring pre‐movement ERPs time‐locked to the button press. For RP, we observed an interaction between task and movement. This was driven by movement differences in the visual and auditory but not the control conditions. LRP conversely only showed a main effect of movement. We then used multivariate pattern analysis to decode movements (active vs. passive). The results revealed ramping decoding for all tasks from around −800 ms onwards up to an accuracy of approximately 85% at the movement. Importantly, similar to RP, we observed lower decoding accuracies for the control condition than the visual and auditory conditions, but only shortly (from −200 ms) before the button press. We also decoded visual vs. auditory conditions. Here, task is decodable for both active and passive conditions, but the active condition showed increased decoding shortly before the button press. Taken together, our results provide robust evidence that pre‐movement EEG activity may represent action‐feedback prediction in which information about the subsequent sensory outcome is encoded.

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Facilitation of sensorimotor temporal recalibration mechanisms by cerebellar tDCS in patients with schizophrenia spectrum disorders and healthy individuals

Schmitter,

Straube

2024

Sci Rep

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Core symptoms in patients with schizophrenia spectrum disorders (SSD), like hallucinations or ego-disturbances, have been associated with a failure of internal forward models to predict the sensory outcomes of self-generated actions. Importantly, forward model predictions must also be able to flexibly recalibrate to changing environmental conditions, for example to account for additional delays between action and outcome. We investigated whether transcranial direct current stimulation (tDCS) can be used to improve these sensorimotor temporal recalibration mechanisms in patients and healthy individuals. While receiving tDCS on the cerebellum, temporo-parietal junction, supplementary motor area, or sham stimulation, patients with SSD and healthy control participants were repeatedly exposed to delays between actively or passively elicited button presses and auditory outcomes. Effects of this procedure on temporal perception were assessed with a delay detection task. Similar recalibration outcomes and faciliatory effects of cerebellar tDCS on recalibration were observed in SSD and healthy individuals. Our findings indicate that sensorimotor recalibration mechanisms may be preserved in SSD and highlight the importance of the cerebellum in both patients and healthy individuals for this process. They further suggest that cerebellar tDCS could be a promising tool for addressing deficits in action-outcome monitoring and related adaptive sensorimotor processes in SSD.

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Perception of self‐generated and externally‐generated visual stimuli: Evidence from EEG and behavior

Cited by 5 publications

References 87 publications

Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction

Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction

Pre‐movement event‐related potentials and multivariate pattern of EEG encode action outcome prediction

Facilitation of sensorimotor temporal recalibration mechanisms by cerebellar tDCS in patients with schizophrenia spectrum disorders and healthy individuals

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