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

Schmitter, Christina V.; Straube, Benjamin

doi:10.1038/s41598-024-53148-3

Cited by 2 publications

(1 citation statement)

References 72 publications

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“…If future studies can uncover a neurobiological basis for the parameters governing variational BCI, their manipulation using TMS could be of high scientific and therapeutic interest. Using transcranial direct current stimulation (tDCS) improvements in delay detection (Straube et al, 2020) and delay adaptation (Schmitter & Straube, 2024) had been already shown in patients with schizophrenia spectrum disorders. However, the BCI could improve our understanding of which parameter exactly contributed to these initial findings.…”

Section: Figure 6 Example Of Simulated Trials With Optimized Paramete...mentioning

confidence: 99%

Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

Eckert,

Fuehrer,

Schmitter

et al. 2024

Preprint

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Introduction. To interact with the environment, it is crucial to distinguish between sensory information that is externally generated and inputs that are self-generated. The sensory consequences of one’s own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred. Methods. Experiment 1investigates sensory attenuation during a stroking movement. Tactile stimuli on the stroking finger were suppressed, especially when they were predictable. Experiment 2 showed impaired delay detection between an arm movement and a video of the movement when participants were moving vs. when their arm was moved passively. We reconsider these results from the perspective of Bayesian Causal Inference (BCI). Using a hierarchical Markov Model (HMM) and variational message passing, we first qualitatively capture patterns of task behavior and sensory attenuation in simulations. Next, we identify participant-specific model parameters for both experiments using optimization. Results. A sequential BCI model is well equipped to capture empirical patterns of SA across both datasets. Using participant-specific optimized model parameters, we find a good agreement between data and model predictions, with the model capturing both tactile detections in Experiment 1 and delay detections in Experiment 2. Discussion. BCI is an appropriate framework to model sensory attenuation in humans. Computational models of sensory attenuation may help to bridge the gap across different sensory modalities and experimental paradigms and may contribute towards an improved description and understanding of deficits in specific patient groups (e.g. schizophrenia).

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Section: Figure 6 Example Of Simulated Trials With Optimized Paramete...mentioning

confidence: 99%

Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

Eckert,

Fuehrer,

Schmitter

et al. 2024

Preprint

View full text Add to dashboard Cite

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Visuomotor prediction during action planning in the human frontoparietal cortex and cerebellum

Quirmbach,

Limanowski

2024

Cerebral Cortex

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The concept of forward models in the brain, classically applied to describing on-line motor control, can in principle be extended to action planning, i.e. assuming forward sensory predictions are issued during the mere preparation of movements. To test this idea, we combined a delayed movement task with a virtual reality based manipulation of visuomotor congruence during functional magnetic resonance imaging. Participants executed simple hand movements after a delay. During the delay, two aspects of the upcoming movement could be cued: the movement type and the visuomotor mapping (i.e. congruence of executed hand movements and visual movement feedback by a glove-controlled virtual hand). Frontoparietal areas showed increased delay period activity when preparing pre-specified movements (cued > uncued). The cerebellum showed increased activity during the preparation for incongruent > congruent visuomotor mappings. The left anterior intraparietal sulcus showed an interaction effect, responding most strongly when a pre-specified (cued) movement was prepared under expected visuomotor incongruence. These results suggest that motor planning entails a forward prediction of visual body movement feedback, which can be adjusted in anticipation of nonstandard visuomotor mappings, and which is likely computed by the cerebellum and integrated with state estimates for (planned) control in the anterior intraparietal sulcus.

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

Cited by 2 publications

References 72 publications

Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

Visuomotor prediction during action planning in the human frontoparietal cortex and cerebellum

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