Healthy VolunteersPsilocybin

Psilocybin's kinematic effect on manual dexterity

This randomised blinded trial (n=healthy participants) tested low to moderate doses of psilocybin (5 to 20 mg) and found only small, short-lived changes in manual dexterity, with no meaningful disruption to hand movement smoothness, speed or coordination structure. Higher doses caused slight impairment at peak effect and slight improvement later, suggesting psilocybin may be compatible with motor rehabilitation.

Authors

  • Olivia Carter

Published

Psychopharmacology
individual Study

Abstract

Rationale

Clinical interest in psilocybin-assisted rehabilitation for motor disorders is growing. However, psilocybin’s motor effects are under-researched, and quantifying them is essential for assessing treatment risks and outcomes.

Objectives

This study aims to clarify whether acute effects of psilocybin disrupt established patterns of manual dexterity and coordination. Specifically, we evaluate the impact of psilocybin on velocity, smoothness and kinematic manifold stability.

Methods

In a randomised, blinded trial, healthy participants received three doses of psilocybin (5–20 mg) administered one week apart. Manual dexterity was assessed using the Box and Block Test (BBT) at baseline and 1.5, 3, and 4.5 hours post-drug administration. Task performance was analysed using a Bayesian mixed-effects model. For kinematic analysis, 21 hand landmarks were tracked from video recordings obtained at baseline and 1.5 hours post-administration. Principal component analysis (PCA) was the basis for evaluating the stability and dimensionality of latent structure.

Results

BBT performance showed a modest biphasic dose–response pattern at higher doses (10–20 mg), with slight impairment during peak effects and slight improvement 4.5 hours post-administration relative to baseline. Effect sizes were small compared to inter-individual baseline variability. Kinematic analyses revealed no substantial changes in movement smoothness or velocity. Dimensionality metrics indicated a stable coordination structure, although finger movements showed a subtle increase in complexity.

Conclusions

Low to moderate doses of psilocybin did not meaningfully disrupt manual dexterity or the latent structure of hand coordination. These findings support the feasibility of combining psilocybin administration with active motor rehabilitation.

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Research Summary of 'Psilocybin's kinematic effect on manual dexterity'

Editorial

βBlossom's Take

This is a useful methods-adjacent trial because motor effects are easy to assume but rarely measured directly in psilocybin studies. The small, short-lived changes in dexterity help keep rehabilitation discussions realistic, and the preserved kinematic structure suggests psilocybin is not obviously incompatible with motor tasks at the doses tested.

Introduction

Psilocybin is a classic serotonergic psychedelic with established effects on consciousness, emotion and cognition, and it has shown promise in studies of depression, anxiety and addiction. However, its direct effects on motor function remain poorly characterised. The authors note that most psilocybin studies are conducted in settings that minimise movement, so existing evidence does not adequately address whether the drug alters manual dexterity, hand coordination, or the underlying kinematic organisation of movement. They also highlight that prior motor research has been sparse and often limited to screen-based tasks rather than real-world manipulation. Klintefors and colleagues set out to test whether acute psilocybin disrupts manual dexterity and whether it changes the latent coordination structure of the hand during a standardised motor task. Specifically, they aimed to assess effects on movement velocity, smoothness, dimensionality and kinematic manifold stability during the peak drug period. The study is presented as a preparatory step towards evaluating psilocybin-assisted motor rehabilitation, particularly for functional neurological and other motor disorders.

Methods

The study used data from a larger protocol in healthy volunteers who were recruited by advertisement. Participants received psilocybin on three occasions separated by at least one week. The dose order was randomised and both participants and the physiotherapist were blinded to the dose. The first six participants received 5 mg, 10 mg and 15 mg; the second six received 10 mg, 15 mg and 20 mg. The dose escalation was designed to explore whether a threshold existed at which participants could no longer complete the motor task. Before the first dosing session, participants completed the motor tasks to establish individual baselines. On each dosing day, they performed multiple motor tests at 1.5, 3 and 4.5 hours after administration. A subset of tasks was video recorded using an iPhone 11 mounted on a tripod. The extracted text states that the study focus here was manual dexterity. Gross manual dexterity was measured using the Box and Block Test (BBT), in which participants move as many 25 mm wooden blocks as possible from one box to another in 60 seconds. Behavioural performance was analysed with a Bayesian mixed linear model that included participant-specific baselines and dose responses, plus a fixed effect for session number to account for practice effects. The model was fitted in PyMC using NUTS sampling. For the kinematic analysis, 21 anatomical landmarks of the grasping hand were manually annotated for the first 350 frames of the baseline and 1.5-hour post-dose videos at the highest dose condition (15 mg or 20 mg), corresponding to roughly 12 seconds of movement. Landmark coordinates were converted from pixel to real-world space using the known box dimensions and a reprojection pipeline based on depth estimation and a Perspective-n-Point solver. Kinematic outcomes included centroid velocity, time spent in different movement phases, and smoothness measured with Spectral Arc Length (SPARC). Dimensionality and coordination structure were examined with principal component analysis in both world-centric and hand-centric reference frames, using measures such as the Krzanowski similarity factor, RMSIP, participation ratio and variance accounted for. Bayesian comparisons were used for smoothness, complexity and manifold stability, with a region of practical equivalence defined for dimensionality differences.

Results

Twelve participants were included in the study: six in the 5/10/15 mg sequence and six in the 10/15/20 mg sequence. One participant in the second group could not complete the BBT at the 3-hour time point after 20 mg, but completed other time points. Eleven participants contributed to the behavioural analysis, and ten participants were included in the kinematic and dimensionality analyses. The cohort had a mean age of 33 years, with seven men and four women. For BBT performance, the Bayesian model converged well. The estimated baseline mean was 64.81 blocks in 60 seconds, and the practice effect from session number was negligible. Psilocybin produced a modest dose-related pattern. At the lower 5 mg dose, mean performance was slightly better than baseline across time points, with the largest positive deviation at 4.5 hours post-dose. At 10 mg, 15 mg and 20 mg, performance dipped slightly at 1.5 hours, which coincided with peak effects, and then rose again by 4.5 hours. However, the highest density intervals were broad and overlapped substantially with baseline, so the estimated effects were small and uncertain. Between-participant variability in baseline performance was large (σparticipant = 7.09), exceeding the size of the drug effects, whereas variability in treatment response was low and fairly consistent across doses. The kinematic analysis found negligible differences between baseline and dose sessions for mean velocity, peak velocity, timing measures and smoothness. For smoothness, there was a probable decrease in variability during the dose session, but the overall mean changes were small. In the dimensionality analysis, the coordination subspaces were highly similar between baseline and dose conditions. RMSIP was 0.95 in the world frame and 0.93 in the hand frame, indicating strong overlap. Participation ratio changed little overall, with differences of 0.02 in the world frame and 0.054 in the hand frame when comparing baseline with dose. Variance accounted for was also high, at 0.94 in the world frame and 0.92 in the hand frame, and the Bayesian comparison did not show clear divergence from baseline. The authors note a slight increase in finger-movement complexity in the hand-centred frame, with a posterior increase in participation ratio of 0.23 and limited overlap with the region of practical equivalence, but this was not accompanied by evidence of major manifold disruption.

Discussion

Klintefors and colleagues interpret the findings as the first quantitative assessment of psilocybin’s acute effects on manual dexterity and hand kinematics. They conclude that the drug caused, at most, minor transient changes in BBT performance: slight impairment at peak effects for 10-20 mg and slight improvement at 5 mg, but with substantial uncertainty because the intervals overlapped baseline and the sample was small. The authors emphasise that baseline variability among participants was much larger than the drug-related change, which made the performance estimates imprecise, whereas the treatment effect itself appeared relatively consistent. They place the kinematic results in the context of earlier research that found slower hand-eye coordination under psilocybin in a computer-based task. By contrast, their own results suggest that the basic mechanics of physical movement were largely preserved during the BBT. The authors argue that the difference may reflect the distinct demands of the tasks: the earlier study relied on visual-motor response tracking, whereas the BBT assesses physical manipulation and simpler sensorimotor integration. They interpret the unchanged world-centred dimensionality and high manifold overlap as evidence that psilocybin did not substantially disrupt established low-dimensional coordination strategies, although the slight rise in hand-centred complexity might indicate a subtle effect on grasping mechanics. They also caution that this inference is limited by the resolution of the video data. The main limitations acknowledged are the small sample size, which led to wide posterior distributions, and the use of 2D video with single-camera depth estimation rather than high-fidelity 3D motion capture. The BBT itself may also have been too simple to detect subtle fine-motor effects, and the kinematic analysis covered only the first 12 seconds of each 60-second trial. The authors further note that their manifold approach assessed linear subspace alignment rather than task-relevant versus task-irrelevant variance, and that methods such as uncontrolled manifold or goal equivalent manifold analysis would require object tracking that was not available in this study. In terms of implications, they state that moderate doses of psilocybin left manual dexterity intact and did not substantially alter grasping coordination, supporting the feasibility of psilocybin-assisted trials involving motor rehabilitation. They frame the work as preliminary evidence that psilocybin may be integrated into physiotherapy or motor-rehabilitation protocols without obvious disruption of gross motor task performance, while stressing the need for replication and higher-resolution motion capture before stronger conclusions are drawn.

Conclusion

The authors conclude that quantitative motor assessment is feasible during moderate-dose psilocybin exposure and that participants preserved BBT performance and the basic intrinsic structure of hand coordination. They state that 5-20 mg of psilocybin did not appear to disrupt access to established motor strategies, but that larger studies using higher-fidelity 3D motion capture are needed to rule out more subtle deficits. Overall, they present the findings as preliminary support for the safety of incorporating psilocybin into motor rehabilitation protocols.

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MATERIALS AND METHODS

The behavioural data and video material used in this analysis are a subset of the data of a larger project. The full study protocol was published prior to data collection, and a full report of the behavioural result can be found in. In this paper, we will focus on psilocybin's effects on manual dexterity.

PARTICIPANTS

Healthy participants were recruited by advertisement and received psilocybin on three different occasions, with at least one week between doses. The first half of participants received 5 mg, 10 mg, and 15 mg, and the other half received 10 mg, 15 mg, and 20 mg. The doses were increased to see if increase the likelihood of identifying a potential threshold dose at which participants could no longer complete the movement. The order of the doses was randomised for each participant, and both the participant and physiotherapist were blinded to the dose. The full eligibility criteria can be found in.

PROCEDURE

Predating the first dose session, participants performed each motor task to establish individual baselines. During the psilocybin dosing session, the participants performed multiple motor tests at three different time points for each dose: 1.5, 3 and 4.5 hours after administration. A selection of these tasks was video recorded with an iPhone 11, mounted on a tripod.

MANUAL DEXTERITY ASSESSMENT

Gross manual dexterity was evaluated using the standardised Box and Block Test (BBT). The task required participants to transport as many wooden blocks (25 × 25 × 25 mm) as possible, one at a time, from one box to an adjacent one within a 60-second interval. The boxes (internal dimensions: 257 × 257 × 75 mm) were separated by a central partition. The partition height was 152 mm from the box bottom and 189 mm from the supporting table surface. The setup of the BBT is displayed in the right panel of Fig..

ANALYSIS

The analysis was set out to explore psilocybin's effect on task performance, as well as to investigate the kinematic and dimensional characteristics of the hand movement. All analyses were conducted in Python (version 3.13.9), and the code can be found in the following repository: h t t p s : / / g i t h u b . c o m / p i e r r e k l i n t e f o r s / P s i l o c y b i n D e x t e r i t y A n a l y s i s .

TASK PERFORMANCE

Performance on the BBT was analysed with a Bayesian mixed linear model with participant-specific baselines and participant specific dose effects. This allowed estimation of both group and individual variability over all time points of the different doses of psilocybin. A separate fixed-effect coefficient for session number was included as a covariate to control for a potential practice effect. The model was implemented in PyMC (version 5.26.1) (Abril-Pla et al. 2023) using the No-U-Turn Sampler (NUTS). Four independent chains with 2000 tuning iterations and 2000 draw iterations per chain, resulting in a total of 8000 postwarm-up samples. Chain convergence was assessed using the Gelman-Rubin statistic, where R = 1 shows convergence.

MODEL DESCRIPTION

The observed Box and Block score y i for observation i was modelled as a normal distribution centred around a linear predictor µ i : The linear predictor consisted of a participant-specific baseline, a fixed effect on session number, and a participant-specific dose response: Part.-Spec. Dose Effectwhere j[i] represents the participant and k[i] represents the dose-time condition for observation i. The participant-specific baselines were modelled hierarchically as: where µ Baseline represents the population-level baseline BBT score, and σ participant represents between-participant variability in baseline performance. Participant-specific dose-time condition effects were also modelled hierarchically: where µ β,k represents the population-level effect of dosetime condition k, and σ β,k represents between-participant variability in the effect of dose-time condition k. To improve sampling efficiency (NUTS convergence), the random effects were implemented using a non-centred parametrisation. Thus, the participant-specific baselines were expressed as: and the participant-specific dose-time condition effects were expressed as: With the following priors: The priors were chosen to be weakly regularising on the number of blocks in BBT. The baseline prior was centred around plausible baseline task performance, while the priors for dose-time and session effects were centred at zero, reflecting no strong prior assumption about the direction of these effects. The half-normal priors constrained standard deviation parameters to be positive while regularising implausibly large variation.

DATA PREPROCESSING

Twenty-one anatomical landmarks of the grasping hand, as shown in Fig., were manually annotated for the first 350 frames of the video footage from both the baseline and the 1.5-hour post-administration sessions at the highest dose (15 mg or 20 mg). At a frame rate of 30 fps, this corresponded to approximately the first 12 seconds of each video. The analyses were restricted to this segment because manual annotation was highly time-consuming but necessary to ensure sufficient annotation quality, as the automated hand-tracking models we evaluated did not achieve comparable performance. The 1.5-hour time point was selected to coincide with the expected peak effects of psilocybin. Landmark coordinates in pixel space were converted to real-world coordinates using the known physical dimensions of the box setup and a model-based reprojection pipeline. The reprojection pipeline involved depth estimation and a Perspective-n-Point (PnP) solver for camera extrinsic parameter calibration. The PnP solver used for this was from the OpenCV package (version 4.12.0.88). Further details about the reprojection pipeline can be found in Appendix A and the published code at h t t p s : / / g i t h u b . c o m / p i e r r e k l i n t e f o r s / P s i l o c y b i n D e x t e r i t y A n a l y s i s / k i n e m a t i c _ a n a l y s i s .

KINEMATICS

Kinematic metrics such as mean moving and peak velocities, time spent on the picking and placing side, and smoothness were calculated for the centroid of hand landmarks in world-framed coordinates. Velocity profiles were derived from position using a Savitzky-Golay filter of the third order with a window length of 9 frames (0.3 seconds with 30 frames per second). Spectral Arc Length (SPARC) was used as the smoothness metric, which is a robust and common metric for smoothness in upper body movement. We segmented the hand trajectories at each of the turning points with minimum velocity. SPARC was calculated for every segment individually and then averaged across the session. To evaluate psilocybin-induced changes in smoothness, we employed Bayesian estimation to compare baseline and dose conditions. Each condition was modelled independently: y ∼ N (µ, σ), with weakly informative priors (µ ∼ N (0, 10); σ ∼ HalfNormal()) scaled to the data range. This allowed for the direct estimation of the posterior distribution for between-participant variability (σ). Differences in smoothness variability were assessed via the deterministic parameter ∆σ = σ dose -σ baseline .

DIMENSIONALITY AND COMPLEXITY ANALYSIS

To assess potential changes in coordination pattern and complexity, we employed a Principal Component Analysis (PCA) to capture the latent structure of movement. PCA was conducted in two distinct coordinate reference frames: a world-centric frame and a hand-centric frame. The world-centric frame captured the global transport trajectory of the hand relative to the workspace, while the hand-centric frame was anatomically aligned to the wrist and metacarpals to isolate finger configurations independent of hand position. We computed three complementary metrics to compare the baseline with dose condition: the Root Mean Square Inner Product (RMSIP) to quantify the geometric similarity of the subspaces, the Participation Ratio (PR) to estimate the complexity, in terms of effective dimensionality, and the Variance Accounted For (VAF) to measure the extent to which the baseline motor manifold was preserved during the dose condition. Because RMSIP, PR, and VAF depend on preprocessing choices, the number of retained components, measurement noise, and the coordinate reference frame, these interpretive ranges should be considered as descriptive guidance rather than formal decision thresholds.

COORDINATION PATTERNS AND SUBSPACE ANALYSIS

To identify the kinematic manifold, we performed PCA on the landmark covariance matrices for each condition. The resulting eigenvectors were interpreted as principal coordination patterns, serving as orthogonal basis vectors describing the correlated landmark displacements. To quantify the similarity of these coordination patterns between the baseline and dose conditions, we calculated the geometric overlap of their respective PCA subspaces using the Krzanowski method. The goal was to determine if the fundamental kinematic manifold remained structurally stable under the influence of psilocybin. First, we determined the dimensionality k for the subspace comparison. For each participant, k was selected dynamically by calculating the number of components required to explain 95% of the cumulative variance for both the baseline and dose datasets, and selecting the larger of the two values. This ensured that the comparison subspace was sufficiently large to capture the relevant variance in both conditions. We then calculated the Krzanowski Similarity Factor (S P CA ), defined as the sum of squared cosines of the angles between the principal components of the two subspaces: where . . . , v k ] are the matrices containing the top k eigenvectors of the baseline and dose conditions, respectively, and θ ij is the angle between the i-the baseline manifold and the j-th dose manifold. To provide a normalised metric for comparison, Root Mean Square Inner Product (RMSIP) was used, specified in Eq. 8. The RMSIP normalises the Krzanowski sum to a range of [0, 1], where a value of 1.0 indicates perfect overlap between subspaces.

COMPLEXITY AND KINEMATIC MANIFOLD STABILITY

A Bayesian comparison of complexity and coordination patterns was conducted between the baseline and dose conditions. Regions of practical equivalence, meaning no difference, were set according torecommendation, -0.2 to 0.2 standard deviations of the baseline dimensionality. Complexity was measured in terms of the number of degrees of freedom needed to explain the variance of the trajectories of all annotated landmarks. This is known as the intrinsic dimensionality and was measured by using participation ratio (PR). As defined in Eq. 9, the PR is calculated from the eigenvalues (λ i ) of the covariance matrix, representing the variance explained by the principal components. Unlike a discrete count of principal components, PR provides a continuous measure of dimensionality. The continuity allows for a probabilistic comparison of the effective complexity of hand movements between the baseline and highest dose sessions. The PR can be interpreted as the effective number of dimensions contributing to the observed movement variance. A PR close to 1 indicates that most variance is concentrated along a single dominant coordination pattern, reflecting a low-dimensional movement structure. Larger PR values indicate that variance is distributed across more principal components, reflecting greater movement complexity or less constrained coordination. The maximum possible PR is bounded by the number of measured variables, and therefore PR values were interpreted primarily relative to each participant's baseline and between the baseline and dose conditions, rather than against an absolute universal benchmark. To quantify the stability of movement execution, we calculated the Variance Accounted For (VAF). This metric assesses how well the kinematic manifold defined by the baseline condition can explain the variance observed during the dose condition. While subspace similarity (RMSIP) measures if the principal axes of movement are aligned, VAF tests if the execution of movements in the dose condition remained constrained to the baseline linear subspace, or if the drug induced variability orthogonal to the learned coordination patterns. First, a PCA basis set U base and a mean pose xbase were constructed from the baseline landmark data X baseline . The dose data (X dose ) was then projected onto this baseline subspace and reconstructed. The VAF quantifies the proportion of the total variance in the dose trajectory that lies within the baseline manifold: where x t is the vector of landmark coordinates at frame t in the dose condition, xdose is the mean pose of the dose data, and xt is the reconstruction of the dose data using the baseline basis U base and baseline mean xbase : The numerator in Eq. 10 represents the squared residual error, which is the variance orthogonal to the baseline manifold, and the denominator represents the total variance of the dose movement relative to its own mean. Crucially, by using xbase in the reconstruction, any shift in the global average pose during the dose condition is correctly treated as variance not accounted for by the baseline manifold. The dimensionality of U base was selected dynamically to explain 95% of the variance in the baseline movement. A VAF close to 1.0 indicates that the hand trajectories during the dose condition remained strictly confined to the baseline coordination strategy, while a lower VAF implies the emergence of novel movement dimensions.

RESULTS

Twelve participants were included in the analysis of this study. Six received 5, 10 and 15 mg doses in randomised order and the other six were allocated to the second dose group with 10, 15 and 20 mg in a randomised order. One participant in the second dose group was unable to perform the BBT during the 3 hours post-administration time point of the 20 mg dose but successfully completed the for the other time points. Eleven participants completed the motor task for all time points for all doses and are included in the behavioural performance analysis, five in the first dosage group and six in the second. The mean age of this cohort was 33 years (range 22-39), where seven identified as male (64%) and four as female (36%). The video recording of the baseline session for one participant in the second dosage group was deemed unfit for analysis, which left ten participants available for the kinematics and dimensionality analyses.

TASK PERFORMANCE

Figureshows the global performance at each time point of each session. These descriptives have also been reported in. The difference between baseline and doses for the specific time points was analysed with a Bayesian linear mixedeffects model. The model demonstrated convergence ( R = 1.0) for all parameters, which are summarised in Table. The model estimated a baseline mean (µ group ) of 64.81 blocks (95% HDI[60.35, 69.59]) during 60 seconds. The fixed effect for session number, aimed to capture practice effects, was negligible (β session = 0.25, 95% HDI[-0.22, 0.75]).

DOSE-DEPENDENT EFFECTS

Psilocybin effects were evaluated by comparing dosespecific offsets to the baseline mean. Participants in the first dosage group slightly improved mean performance for all time points during the 5 mg dose. The 4.5 hours post-administration time point showed the highest positive deviation, µ β = 2.77, with a quite broad zero-encapsulating highest density interval, 95%HDI[-0.50, 5.89]). Conversely, the three higher doses exhibited a biphasic pattern with an initial dip in performance at peak effects at 1.5 hours post-administration (10 mg: µ β = -1.91, 15 mg: µ β = -0.94, 20 mg: µ β = -2.27), and then an increase at the 4.5 hours mark (10 mg: µ β = 2.55, 15 mg : µ β = 1.83, 20 mg: µ β = 1.19) compared with baseline mean. These are visualised in Fig.with the corresponding 95% HDI and individual effects. All the 95% HDIs of the dose effect estimates are largely encapsulated by the 95% HDI of baseline, represented by the grey area within the grey dotted lines. The time points with the least overlap with the baseline were the 4.5 hours post-administration for doses 5 mg and 10 mg.

INDIVIDUAL VARIABILITY

The model identified large between-participant variability in baseline performance (σ participant = 7.09, 95% HDI[4.25, 10.17]), which was larger than any doseinduced changes. However, the variability in treatment response (σ β ) was consistent across doses and time points, ranging from 0.76 to 0.86 as seen in Table.

KINEMATICS

Kinematics metrics, such as velocity and time profiles of different phases of the grabbing hand's trajectory, were calculated to investigate more subtle effects that may not be captured by task performance. All the centroid trajectories can be found in Fig.in the Appendix. The result of the kinematic analysis is displayed in Fig., where the mean and range for the velocity, time and smooth metrics' are plotted for baseline and 1.5 hours post-administration of the highest dose. There were only negligible differences between the means of the baseline and dose sessions for all metrics. In terms of smoothness, there was a noticeable decrease in the variability during the dose session. Post-hoc inference was done on the smoothness metric to estimate the uncertainty. As shown in Fig., a probable decrease in variability was estimated, where 91.6% of the distribution was smaller than 1. A ratio of 1 here would correspond to no difference in variability of baseline and dose.

DIMENSIONALITY AND COMPLEXITY

A PCA was performed on hand trajectory time series data for each condition for two different reference frames: world-frame and hand-frame. The world-frame is the hand's movement in relation to the table and the handframe is mainly finger movements where one axis is locked on top of the hand. Coordination pattern similarity between each condition's manifold was calculated by the Krzanowski method with the Root Mean Square Inner Product (RMSIP) as a normalised metric. The RMSIP between the baseline and dose manifold was 0.95 for the world-frame and 0.93 for the hand-frame, where 1 would be a total overlap. The complexity of the movement, in terms of the intrinsic dimensionality, was obtained by the participation ratio (PR), and the manifold deviation through Variance Accounted for (VAF), specified in Eqs. 9 and 10, respectively. The results are summarised in Table. The difference in PR between the baseline and dose when comparing both dose groups was 0.02 for the worldcentric frame and 0.054 for the hand-centric frame. The dose manifold showed little divergence from the baseline manifold with VAF values of 0.94 and 0.92 for the worldframe and hand-frame, respectively. A Bayesian difference analysis was done for a probabilistic estimation of these metrics. The region of practical equivalence (ROPE) was set to ± 0.2 standard deviations of the baseline PR. Figureshows the posterior estimate for the difference in PR and VAF between the two dose subgroups and both doses combined. The PR in the hand-frame was estimated to be slightly higher than the baseline, with an increase of 0.23 with 9.90% overlap with the ROPE. The world-frame showed less change in dimensionality, where 73.99% fell within the ROPE. No clear divergence from the baseline manifold was shown for either the world-frame, VAF = 0.97 (95% HDI [0.99, 0.92]) or hand-frame VAF = 0.94 (95% HDI [0.96, 0.91]).

DISCUSSION

This study is the first to provide a quantitative assessment of psilocybin's acute effects on manual dexterity and kinematic profile. Beyond standard performance scoring on the BBT, we performed exploratory kinematic and dimensionality analyses to detect subtle changes in motor strategies that mere counting scores might miss.

MANUAL DEXTERITY AND DOSE RESPONSE

Participants were on average slightly impaired during the peak effects (1.5 hours post-administration) for 10, 15 and 20 mg, while performing better on 5 mg. An increased performance on lower doses could be a result of increased arousal or attention that have been reported for small doses of serotonergic psychedelics. However, the 95% Highest Density Intervals (HDI) for these effects were broad and overlapped with the baseline reference. This statistical uncertainty is largely driven by significant inter-participant variability in baseline performance, which exceeds the magnitude of the drug effect in this small sample. The participants were thereby able to perform the task without any obvious detrimental or boosting effects. Notably, the variability in the treatment effect itself was low and consistent. This suggests that while baseline performance varied widely among the participants, the relative impact of psilocybin was reasonably consistent. The fixedeffect term for session number was negligible, confirming that practice effects did not confound the results, which could be a consequence of the task's simplicity.

KINEMATICS, MANIFOLD AND STABILITY

To our knowledge, this is the first study to investigate the kinematic manifold of hand movement under the influence of psilocybin. We observed only subtle differences between the baseline and dose sessions regarding the kinematic metrics of the centre of the hand. In the study of, comparable psilocybin dosage resulted in slower response times in their hand-eye coordination task. In our study, the speed of the participants was largely unaffected. This might stem from fundamental differences in the functional demands of the respective tasks. The computerised interface utilised byrequired participants to respond to visual stimuli using a mouse. This might relate to the prominent visual perceptive effects, or higher levels of motor function such as attentional tracking, which has previously been shown to be impaired by psilocybin. The BBT employed in our study involves physical manipulation and probes lower-level motor functions and sensorimotor integration. Consequently, these two task categories likely capture distinct aspects of motor performance, suggesting that the basic mechanics of movement may remain preserved even when higher-order coordination is compromised. The dimensionality analysis demonstrated that the complexity, measured by the participation ratio and the angles in the kinetic manifold, was not affected for the hand's trajectory in world coordinates under the influence of psilocybin. Given the setup of BBT, moving blocks between boxes, it is expected that the main movement should be along the vertical and horizontal axes. The unchanged complexity means that the participants still performed the task and did not dramatically alter the way they moved the blocks. However, there was a slight increase in the complexity of finger movements when the reference frame was locked to the wrist and the top of the hand. This suggests that psilocybin did not disrupt the ability of the central nervous system to access established low-dimensional coordination patterns but might have a subtle effect on grasping mechanics. However, such conclusions cannot be confidently drawn from the resolution of the video data used in this study.

METHODOLOGICAL LIMITATION

A primary limitation of this work is the small sample size of N = 11 for task performance and N = 10 for the kinematic analysis. For this reason, Bayesian analysis was used here to explicitly model uncertainty at the individual level, and the observed wide distributions are a direct consequence of this limited sample. This work should therefore be viewed as a first step, and generalisability to a broader population would require replication with a larger cohort. Kinematic data were derived from two-dimensional video using a single camera. While Perspective-n-Point solvers are robust when object dimensions are known, depth estimation carries higher uncertainty than lateral position. Consequently, the analysis focused on relative metrics such as smoothness, dimensionality, and coordination pattern overlap rather than absolute positional accuracy. The reported effects should therefore be interpreted as changes in the structure and temporal dynamics of movement rather than as precise biomechanical measurements. Future studies utilising high-fidelity 3D motion capture or wearable inertial measurement units would provide finer resolution of joint-level dynamics. Additionally, the manual dexterity assessment was restricted to gross motor movements. The simplicity of the BBT, while excellent for clinical standardisation, may introduce a ceiling effect that masks subtle changes in fine motor coordination or haptic feedback processing. The kinematic and dimensionality analysis was also restricted to the first 350 frames of each video, which corresponds to 12 seconds of movement per condition. This duration does not allow for the modelling of the drug effect on attentional drift or fatigue over the full sixty seconds of the trial. However, since the task performance remained stable, in terms of the number of blocks transported, no major difference would be expected between the coordination patterns at the start and the end of the task. Furthermore, while we evaluated kinematic manifold stability through linear subspace alignment, our analysis do not distinguish between task-relevant and task-irrelevant variance. The structure of task-relevant variance could be systematically analysed using an Uncontrolled Manifold (UCM) or Goal Equivalent Manifold (GEM) approach. Implementing these frameworks would require precise, synchronised annotation of the blocks relative to hand landmarks-data that were not captured in the present study. We recommend that future research utilising object-handling tasks to incorporate object tracking to permit a goal-oriented UCM analysis, which would provide a nuanced assessment of motor control and synergy robustness. Such an approach would complement our geometric stability metrics (VAF and RMSIP) by quantifying variance stabilisation explicitly relative to a defined task goal.

IMPLICATIONS FOR CLINICAL TRIALS

The results of this study illustrate that moderate doses of psilocybin only had a minimal effect on the coordination pattern of grasping behaviour, leaving manual dexterity intact. All participants were able to follow task instructions and complete the motor sequences during the peak effects (1.5 hours after administration) with no substantial effect on task performance. This supports the feasibility of conducting psilocybin-assisted trials investigating detailed motor control as well as clinical motor rehabilitation. This is an important step for future studies investigating the potential benefits of using psilocybin-assisted physiotherapy for treating motor-related symptoms.

CONCLUSIONS

This study demonstrates the feasibility of conducting quantitative motor assessments under the influence of a moderate dose of psilocybin. The participants maintained their ability on the BBT with preserved manual dexterity. Our exploratory kinematic analysis indicates that the fundamental structure of motor control, specifically the intrinsic dimensionality and kinematic manifold of the hand, remained intact during the peak drug effect. This suggests that 5-20 mg of psilocybin does not disrupt the central nervous system's access to established motor strategies. However, given the limited sample size and reliance on 3D-estimation from 2D-video, future research utilising high-fidelity 3D motion capture is required to confidently rule out subtle kinematic deficits. The findings of our study provide preliminary support for the safety of integrating psilocybin into motor rehabilitation protocols.

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Study Details

References (8)

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