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Mallet, N.

Publications and source records attributed to Mallet, N..

4 recordsLinked to original sources

Central T3 deprivation disturbs cortical cilia formation, oligodendrocyte lineage and neuronal cell-cell-communication in a MCT8/OATP1C1 deficient Allan-Herndon-Dudley Syndrome mouse model

BackgroundThe Allan-Herndon-Dudley syndrome (AHDS) is a rare, X-linked human genetic disorder caused by mutations in the monocarboxylate transporter 8 (MCT8), essential for thyroid hormone (TH) transport across the blood-brain-barrier. The resulting central TH deprivation disrupts brain maturation and function, leading to intellectual disability and movement disorders. Cortical development, highly dependent on TH, is particularly affected and contributes significantly to AHDS pathologies. MethodsTo elucidate disrupted cortical processes, we conducted single nucleus RNA sequencing in a mouse model engineered to mimic the central TH deficiency characteristic of human AHDS. This murine AHDS model features the concomitant deletion of both MCT8 and OATP1C1, a T4 transporter largely absent in human brain capillaries that in mice plays a role in TH transport. The phenotype of dKO mice bears striking resemblance to the pathologies observed in human AHDS patients. ResultsSingle nuclei were isolated from the cortex and attached striatum of 21-day old WT and MCT8/OATP1C1 dKO mice and sequenced using the 10x Genomics workflow. Cell proportion analyses on the resulting 48 clusters suggested elevated numbers of GABAergic striatal D1 and D2 neurons in the dKO mice. Diminished levels of mature oligodendrocytes coincided with a bifurcation within the oligodendrocyte lineage trajectory, leading to distinct subpopulations of WT and dKO oligodendrocytes. Differentially expressed gene (DEG) patterns align poorly with Slc16a2 and Slco1c1 mRNA levels in the respective clusters, but closely with prior published cortical bulk RNAseq data of mice with systemic hypothyroidism or MCT8/OATP1C1 deficiency. These parallels confirm the reliability of our data and provide new insights by pinpointing TH-responsive DEGs to specific cellular clusters. Moreover, inferred cell-cell communication using NeuronChat suggested a disbalance in GABAergic versus glutamatergic signaling. We further uncovered perturbed primary cilia formation in several GABAergic and glutamatergic clusters of the dKO cortex. DiscussionMolecular signatures and perturbations uncovered by our snRNAseq study reveal new molecular characteristics of the AHDS. The imbalance in GABAergic versus glutamatergic cell-cell-communication, perturbed primary cilia formation, and bifurcation of the oligodendrocyte lineage align with pathologies observed in AHDS patients and highlight the role of TH signaling in maintaining neuronal network homeostasis in the cortex.

neuroscience↗

The aperiodic exponent of subthalamic field potentials reflects excitation/inhibition balance in Parkinsonism: a cross-species study in vivo

AO_SCPLOWBSTRACTC_SCPLOWPeriodic features of neural time series data, such as local field potentials (LFP), are often quantified using power spectra. While the aperiodic exponent of spectra is typically disregarded, it is nevertheless modulated in a physiologically-relevant manner and was recently hypothesised to reflect excitation/inhibition (E/I) balance in neuronal populations. Here, we used a cross-species in vivo electrophysiological approach to test the E/I hypothesis in the context of experimental and idiopathic Parkinsonism. We demonstrate in dopamine-depleted rats that aperiodic exponents and power at 30-100 Hz in subthalamic nucleus (STN) LFPs reflect defined changes in basal ganglia network activity; higher aperiodic exponents tally with lower levels of STN neuron firing and a balance tipped towards inhibition. Using STN-LFPs recorded from awake Parkinsons patients, we show that higher exponents accompany dopaminergic medication and deep brain stimulation (DBS) of STN, consistent with untreated Parkinsons manifesting as reduced inhibition and hyperactivity of STN. These results suggest that the aperiodic exponent of STN-LFPs in Parkinsonism reflects E/I balance, and might be a candidate biomarker for adaptive DBS.

neuroscience↗

Temporal evolution of beta bursts in the parkinsonian cortico-basal ganglia network

Prevalence and temporal dynamics of transient oscillations in the beta frequency band (15-35 Hz), referred to as beta bursts, are correlated with motor performance and tactile perception. Disturbance of these activities is a candidate mechanism for motor impairment in Parkinsons disease (PD), where the excessively long bursts correlate with symptom severity and are reduced by pharmacological and surgical treatments. To date, characterization of beta bursts in PD has been limited to the local field potentials in the subthalamic nucleus (STN) and cortical EEG. Here, we describe the changes that take place in spiking activity across the cortico-basal ganglia circuit, providing a unique insight into the network dynamics of these transient oscillations. Firstly, we demonstrate that rhythmic subthalamic spiking activity emerges at a fixed phase relationship with respect to cortical beta bursts in PD patients. Using multichannel recordings of ensembles of neurons in the 6-OHDA rat model of PD, we then dissect the beta burst dynamics across the sensorimotor cortex and several basal ganglia structures: striatum (Str), globus pallidus externus (GPe) and STN. Each subcortical structure exhibits enhanced rhythmic activity in the beta band locked to the onset of cortical beta bursts and longer cortical bursts lead to stronger subcortical rhythmicity. Crucially, enhanced subcortical rhythmic activity emerges at a fixed phase relationship with respect to the motor cortex, comparable to the relationship observed in PD patients. Striatal beta bursts terminate prior to the recruitment of those in the STN and GPe, suggesting that while they could play an important role in establishing synchrony in the beta band, they do not extensively contribute to its maintenance in other basal ganglia structures. Critically, changes in cortico-subcortical phase coupling precede the onset of a cortical beta burst, supporting the hypothesis that phase alignment across the cortico-basal ganglia network could recruit these structures into synchronous network oscillations. We provide a powerful approach that not only examines pathophysiology of PD across the motor circuit, but also offer insights that could aid in the design of novel neuromodulation strategies to manipulate the state of the motor system before pathological activities emerge.

neuroscience↗

Sensorimotor Processing In The Basal Ganglia Leads To Transient Beta Oscillations During Behavior

Brief epochs of beta oscillations have been implicated in sensorimotor control in the basal ganglia of task-performing healthy animals. However, which neural processes underlie their generation and how they are affected by sensorimotor processing remains unclear. To determine the mechanisms underlying transient beta oscillations in the local field potential (LFP), we combined computational modeling of the subthalamo-pallidal network for the generation of beta oscillations with realistic stimulation patterns derived from single unit data. The single unit data were recorded from different basal ganglia subregions in rats performing a cued choice task. In the recordings we found distinct firing patterns in the striatum, globus pallidus and subthalamic nucleus related to sensory and motor events during the behavioral task. Using these firing patterns to generate realistic inputs to our network model lead to transient beta oscillations with the same time course as the rat LFP data. In addition, our model can account for further non-intuitive aspects of beta modulation, including beta phase resets following sensory cues and correlations with reaction time. Overall, our model can explain how the combination of temporally regulated sensory responses of the subthalamic nucleus, ramping activity of the subthalamic nucleus, and movement-related activity of the globus pallidus, leads to transient beta oscillations during behavior.\n\nSignificance StatementTransient beta oscillations emerge in the normal functioning cortico-basal ganglia loop during behavior. In this work we employ a unique approach connecting a computational model closely with experimental data. In this way we achieve a simulation environment for our model that mimics natural input patterns in awake behaving animals. Using this approach we demonstrate that a computational model for beta oscillations in Parkinsons disease can also account for complex patterns of transient beta oscillations in healthy animals. Therefore, we propose that transient beta oscillations in healthy animals share the same mechanism with pathological beta oscillations in Parkinsons disease. This important result connects functional and pathological roles of beta oscillations in the basal ganglia.

neuroscience↗