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Sclocco, R.

Publications and source records attributed to Sclocco, R..

2 recordsLinked to original sources

Impact of Slow Wave Abnormalities and Impaired Coordination of Pyloric Closure and Antral Contraction on Gastric Emptying: A Compartmental Modeling Study

PurposeTo develop a computationally efficient gastric compartmental model that simulates diseased stomach function by altering antral-pyloric coordination and "slow wave" properties. The model evaluates motility, gastric emptying and mixing. The computational efficiency of the model enables broad parameter sweeps to simulate various pathological conditions, offering an alternative to computationally expensive finite element or finite volume approaches. MethodsWe developed an extended compartmental model to simulate gastric function under dysrhythmic conditions. Building on prior work, this framework incorporates enhanced fluid flow equations and improved inter-compartment connectivity. These modifications enable simulation of impaired antro-pyloric coordination, regional variations in "slow wave" frequency (bradygastria, tachygastria), and reduced amplitude to mimic quiescent activity. Model outputs included gastric emptying rates, mixing efficiency, and transpyloric flow events across healthy and impaired conditions. ResultsSimulations demonstrated that abnormal "slow wave" frequency or amplitude delays gastric emptying and diminishes mixing efficiency. Bradygastria induced retrograde transpyloric flow, reflecting backflow from intestine to stomach, a pathological marker. These disruptions were most pronounced when antro-pyloric coordination was impaired. Predictions aligned with prior experimental and computational findings, while model execution was ~ 50-fold faster than real-time gastric dynamics, highlighting computational efficiency. ConclusionThis physiologically inspired compartmental model captures the impact of "slow wave" abnormalities on gastric motility. By reproducing impaired flow and mixing patterns characteristic of diseased states, it provides a valuable tool for probing mechanisms of gastric dysfunction. Importantly, its computational efficiency positions the model for use in developing and rapid testing of model-based, closed-loop neurostimulation therapies for gastrointestinal disorders.

biophysics↗

Dynamic brain-to-brain concordance and behavioral mirroring as a mechanism of the patient-clinician interaction

The patient-clinician interaction can powerfully shape treatment out-comes such as pain, but is often considered an intangible 'art-of-medicine', and has largely eluded scientific inquiry. Although brain correlates of social processes such as empathy and theory-of-mind have been studied using single-subject designs, the specific behavioral and neural mechanisms underpinning the patient-clinician interaction are unknown. Using a two-person interactive design, we simultaneously recorded functional MRI (i.e. hyperscanning) in patient-clinician dyads, who interacted via live video while clinicians treated evoked pain in chronic pain patients. Our results show that patient analgesia is mediated by patient-clinician nonverbal behavioral mirroring and brain-to-brain concordance in circuitry implicated in theory-of-mind and social mirroring. Dyad-based analyses showed extensive dynamic coupling of these brain nodes with the partners' brain activity, yet only in dyads where clinical rapport had been established prior to the interaction. These findings point to a putatively key brain-behavioral mechanism for therapeutic alliance and psychosocial analgesia.

neuroscience↗