Biology subjects

De Zeeuw, C.

Publications and source records attributed to De Zeeuw, C..

5 recordsLinked to original sources

bioRxiv2026

Aberrant cortical subcortical somatosensory network organization is associated with impaired tactile-motion perception in akinetic-rigid Parkinson's disease

BackgroundParkinsons disease (PD) is associated with somatosensory dysfunction, yet higher-order tactile-motion processing and its neural basis remain poorly understood. Here, we combined psychophysical assessment of tactile-motion perception with resting-state functional MRI (rs-fMRI) to investigate how altered sensorimotor network organization relates to tactile perceptual deficits in akinetic-rigid dominant PD (PDAR). MethodsForty-six participants (25 PDAR and 21 healthy controls, HCs) underwent clinical evaluation and resting-state functional MRI scanning. A subset of participants (15 PDAR and 15 HCs) additionally completed a tactile-motion perception task assessing directional bias and speed sensitivity. ROI-to-ROI functional connectivity analyses were performed within a customized 26-node sensorimotor and cortico-basal ganglia-thalamo-cortical (CBGTC) network. ResultsCompared with HCs, PDAR patients exhibited significantly altered tactile-motion perception, including greater directional bias (p = 0.047) and reduced sensitivity to dynamic tactile speed (p < 0.001), reflecting diminished sensitivity to mid-to-high speeds. Resting-state functional connectivity analyses revealed widespread reductions in connectivity within cortical somatosensory regions (Areas 1, 2, 3a, 3b, 5), particularly between primary somatosensory and motor cortices. In contrast, increased connectivity was observed between basal ganglia-thalamic structures and cortical sensorimotor regions, including thalamus-M1 and GPi-sensorimotor connections (all p-FDR < 0.05). ConclusionsThese findings demonstrate a dual pattern of sensorimotor network reorganization in PDAR, characterized by disrupted cortical somatosensory integration alongside enhanced subcortical-cortical coupling. The present study provides evidence that higher-order tactile-motion dysfunction in PD is associated with large-scale abnormalities in distributed sensorimotor networks and highlights the somatosensory system as a potential target for future therapeutic intervention.

neuroscience↗

bioRxiv2025

Motor Cortex Modulates Ipsilateral Limb Movement Through a Direct Cortico-Cerebellar Circuit

Motor cortex is traditionally associated with control of contralateral limb movements via corticospinal and cortico-ponto-cerebellar pathways. However, the contribution of ipsilateral motor cortical outputs on motor control remains unclear. Here, we identify and characterize a distinct population of cortico-cerebellar (C-C) neurons in the motor cortex that form monosynaptic projections to the ipsilateral cerebellar nuclei. The C-C neurons receive preferential local motor cortical inputs and exhibit projection patterns distinct from cortico-pontine projecting neurons. Using in vivo imaging and optogenetic perturbations, we show that these neurons are active during locomotion and transitions of volitional movements. Disruption of the C-C projection severely affects the locomotion and balancing. Interestingly, the C-C pathway is selectively involved in the initiation and coordination of ipsilateral forelimb movements, without affecting contralateral movement kinematics. These findings shed light on a non-canonical cortico-cerebellar pathway that supports ipsilateral motor control, complementing the traditional control mechanisms of the cerebral cortex over the contralateral motor domains.

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bioRxiv2023

Different Purkinje cell pathologies cause specific patterns of progressive ataxia in mice

BackgroundGait ataxia is one of the most common and impactful consequences of cerebellar dysfunction. Purkinje cells, the sole output neurons of the cerebellar cortex, are often involved in the underlying pathology, but their specific functions during locomotor control in health and disease remain obfuscated. ObjectivesWe aimed to describe the effect of gradual adult-onset Purkinje cell degeneration on gaiting patterns in mice and whether two different mechanisms that both lead to Purkinje cell degeneration caused different patterns in the development of gait ataxia. MethodsUsing the ErasmusLadder together with a newly developed limb detection algorithm and machine learning-based classification, we subjected mice to a physically challenging locomotor task with detailed analysis of single limb parameters, intralimb coordination and whole-body movement. We tested two Purkinje cell-specific mouse models, one involving stochastic cell death due to impaired DNA repair mechanisms (Pcp2-Ercc1-/-), the other carrying the mutation that causes spinocerebellar ataxia type 1 (Pcp2-ATXN1[82Q]). ResultsBoth mouse models showed increasingly stronger gaiting deficits, but the sequence with which gaiting parameters deteriorated depended on the specific mutation. ConclusionsOur longitudinal approach revealed that gradual loss of Purkinje cell function can lead to a complex pattern of loss of function over time, and this pattern depends on the specifics of the pathological mechanisms involved. We hypothesize that this variability will also be present in disease progression in patients, and our findings will facilitate the study of therapeutic interventions in mice, as very subtle changes in locomotor abilities can be quantified by our methods.

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bioRxiv2023

Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning

According to Marrs motor learning theory, plasticity at the parallel fibre to Purkinje cells synapse (pf-PC) is the main substrate responsible for learning sensorimotor contingencies under climbing fibre control. However, the discovery of multiple forms of plasticity distributed over different cerebellar circuit synapses prompts to remap the cerebellar learning sites. Here, we have simulated classical eyeblink conditioning (CEBC) using an advanced spiking cerebellar model embedding upbound and downbound modules that are subject to multiple plasticity rules. Simulations show that synaptic plasticity regulates the cascade of precise spiking patterns spreading throughout the cerebellar cortex and cerebellar nuclei. CEBC was supported by plasticity in both the pf-PC synapses and in the feedforward inhibitory loop passing through the molecular layer interneurons (MLIs), but only the combined switch-off of both sites of plasticity compromised learning significantly. By differentially engaging climbing fibre information and related forms of synaptic plasticity, both modules contributed to generate a well-timed conditioned response, but it was the downbound module that played the major role in in this process. The outcomes of our simulations closely align with the behavioural and electrophysiological phenotypes of mutant mice suffering from cell-specific mutations that affect processing of their PC or MLI synapses. Our data highlight that a synergy of bidirectional plasticity rules distributed across the cerebellum facilitate finetuning of adaptive associative behaviours at a high spatiotemporal resolution.

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bioRxiv2018

Aperiodic Rhythms of the Inferior Olive

Inferior olivary activity causes both short-term and long-term changes in cerebellar output underlying motor adaptation and motor learning, respectively. Many of its neurons engage in coherent subthreshold oscillations and are extensively coupled via gap junctions. Studies in reduced preparations suggest that these properties promote rhythmic, synchronized output. However, how these properties interact with synaptic inputs controlling inferior olivary output in intact, awake behaving animals is poorly understood. Here we combine electrophysiological recordings in awake mice with a novel and realistic tissue-scale computational model of the inferior olive to study the relative impact of intrinsic and extrinsic mechanisms governing its activity. Our data and model suggest that oscillations are present in the awake state, but that the period of subthreshold oscillations is variable, resulting in semi-periodic activity, which result in the high unpredictability of sensory-triggered complex spikes occurring in windows of opportunity lasting a few tens of milliseconds. To test the resonant properties of complex spike firing we used different temporal patterns of sensory stimulation in awake mice. Resonance was found to be limited to short intervals no more than a few hundred milliseconds, which could be explained by our network model to be a result of synaptic input to the inferior olive. The model also shows how gap junctional coupling stiffens the olivary network response to sensory modulation of complex spike rhythmicity. Interactions between intrinsic properties and extrinsic inputs can explain short-lasting semi- periodic variations of the spiking rhythms of olivary neurons even though their long-term average firing rate is stable, providing a conceptual framework for the creation of both the short-term and long-term changes in cerebellar output.\n\nAUTHOR SUMMARYActivity of the inferior olive, transmitted via climbing fibers to the cerebellum, regulates initiation and amplitude of movements, signals unexpected sensory feedback, and directs cerebellar learning. It is characterized by widespread subthreshold oscillations and synchronization promoted by strong electrotonic coupling. In brain slices, subthreshold oscillations set a temporal framework determining which inputs can be transmitted by inferior olivary neurons and which will not - dependent on the phase of the oscillation. In our study, we tested whether the subthreshold oscillations had any impact on temporal patterning of climbing fiber activity in intact, awake mice. We did so by recording neural activity of the postsynaptic Purkinje cells, in which complex spike firing faithfully represents climbing fiber activity. For short intervals (<300 ms), we found that many Purkinje cells indeed showed spontaneously rhythmic complex spike activity. However, our experiments designed to evoke resonant responses clearly indicated that complex spikes are not predicated on stimulus history. Our realistic network model of the inferior olive explains the experimental findings via continuous phase modulations of the subthreshold oscillations. We conclude that inferior olivary activity is emerging from an aperiodic rhythm, stabilized by electrotonic coupling, and dependent on the behavioral context transmitted via synaptic input.

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