Circuit Module Research Articles

Remotely induced electrical modulation of deep brain circuits in non-human primates

IntroductionThe combination of magnetic and focused ultrasonic fields generates focused electric fields at depth entirely noninvasively. This noninvasive method may find particularly important applications in targeted treatments of the deep brain circuits involved in mental and neurological disorders. Due to the novelty of this method, it is nonetheless unknown which parameters modulate neural activity effectively.MethodsWe have investigated this issue by applying the combination of magnetic and focused ultrasonic fields to deep brain visual circuits in two non-human primates, quantifying the electroencephalographic gamma activity evoked in the visual cortex. We hypothesized that the pulse repetition frequency of the ultrasonic stimulation should be a key factor in modulating the responses, predicting that lower frequencies should elicit inhibitory effects and higher frequencies excitatory effects.ResultsWe replicated the results of a previous study, finding an inhibition of the evoked gamma responses by a strong magnetic field. This inhibition was only observed for the lowest frequency tested (5 Hz), and not for the higher frequencies (10 kHz and 50 kHz). These neuromodulatory effects were transient and no safety issues were noted.DiscussionWe conclude that this new method can be used to transiently inhibit evoked neural activity in deep brain regions of primates, and that delivering the ultrasonic pulses at low pulse repetition frequencies maximizes the effect.

A Synchronous Buck Converter With a Wide Input Voltage Range Using Simulated Peak Current Mode Control

ABSTRACTWith the rapid development of automotive infotainment, industrial DC‐DC motors and telecom servers, the demand for buck converters with high‐input or wide‐input voltage is increased. This paper proposes a synchronous buck converter with a wide input voltage range, utilizing a simulated peak current mode. The proposed simulated peak current control mode removes the need for a separate slope compensation circuit. By integrating a slope compensation current directly into the ramp generator, it eliminates subharmonic oscillation issues when the duty cycle in current mode control exceeds 50%, thereby simplifying circuit design. The proposed simulated peak current mode retains the key advantages of peak current mode, such as feedforward control, easy overcurrent protection, and easy loop compensation, while significantly enhancing the loop's immunity to interference. This enhancement reduces the noise sensitivity of the pulse width modulation circuit, eliminates false switch turn‐offs caused by leading‐edge spikes, and removes the need for external low‐pass filters. Furthermore, with the integration of high‐voltage regulation technology, it achieves a wide input–output range, broadening its application scope. As a result, the proposed mode is more robust and reliable in applications with high stability and anti‐interference requirements, such as automotive infotainment, industrial DC–DC motors, and telecom servers, offering strong support for reliable and precise power system performance. The proposed converter is implemented using UMC 250 nm BCD technology and operated at a frequency range of 50 kHz–1 MHz, with the maximum output current up to 7 A, a wide input voltage range of 6–100 V, and an output voltage range of 1.215–80 V. Besides, excellent minimum ripple/output ratio (0.0325%) and maximum power efficiency (90.93%) are achieved.

The mechanism of action of neuromodulation in the treatment of overactive bladder.

Neuromodulation has been used in the treatment of various pelvic organ dysfunctions for almost 40 years and several placebo-controlled studies have confirmed its clinical effect. Many neuromodulation methods using different devices and stimulation parameters, targeting different neural structures have been introduced, but only a limited number have been adopted into routine clinical use. A substantial volume of basic research and clinical studies addressing specific effects of neuromodulation in the treatment of overactive bladder (OAB) have been published to date; however, their mechanistic implications have not been comprehensively summarized. Thus, our understanding of the mechanism of action of neuromodulation in OAB treatment is mainly based on postulated theories. Results from animal experiments suggest that different neuromodulation methods used to treat OAB share the same basic principles. The most likely explanation for the effect of neuromodulation in OAB therapy is the suppression of bladder afferent signalling, promotion of spinal guarding reflexes and modulation of non-specific supraspinal regulatory circuits.

An IoT-enabled monitoring and control system for electrochromic smart windows

Electrochromic (EC) smart windows are highly efficient in preventing solar irradiation. Nevertheless, an insufficient automated monitoring and control system for EC windows has been observed. This study outlined the framework for designing a control system that effectively regulated the voltage polarity of an EC smart window. Integrating Internet of Things (IoT) capabilities and environmental sensors enhanced the smart window control system. This integration allowed for automated monitoring and adjustment of light intensity (below and above 30,000 lx), temperature (below and above 32 °C), and UV index (below 3 and above 7) for the smart window. The magnitude of the current supplied from the output load of the operational circuit module was directly correlated with the switching time of the electrochromic window. Moreover, voltage fluctuation was observed during the evaluation testing of the control system, which was ascribed to the reliability of the breadboard platform. This study also provided a functional design analysis for a Wi-Fi-enabled control system, presented insights into manual and automatic control modes under diverse environmental conditions, and improved user interaction through real-time data visualization using the IoT Blynk platform. Overall, this study presented a range of cost-effective approaches for managing the dynamic EC window using Wi-Fi and sensor-enabled technology.

Ketamine induces plasticity in a norepinephrine-astroglial circuit to promote behavioral perseverance.

Transient exposure to ketamine can trigger lasting changes in behavior and mood. We found that brief ketamine exposure causes long-term suppression of futility-induced passivity in larval zebrafish, reversing the "giving-up" response that normally occurs when swimming fails to cause forward movement. Whole-brain imaging revealed that ketamine hyperactivates the norepinephrine-astroglia circuit responsible for passivity. After ketamine washout, this circuit exhibits hyposensitivity to futility, leading to long-term increased perseverance. Pharmacological, chemogenetic, and optogenetic manipulations show that norepinephrine and astrocytes are necessary and sufficient for ketamine's long-term perseverance-enhancing aftereffects. Invivo calcium imaging revealed that astrocytes in adult mouse cortex are similarly activated during futility in the tail suspension test and that acute ketamine exposure also induces astrocyte hyperactivation. The cross-species conservation of ketamine's modulation of noradrenergic-astroglial circuits and evidence that plasticity in this pathway can alter the behavioral response to futility hold promise for identifying new strategies to treat affective disorders.

FPGA Accelerated Implementation of 3D Mesh Secret Sharing Based on Symmetric Similarity of Model

Secret sharing is particularly important in the field of information security, which allows for the reconstruction of secret information from secure shares. However, due to the large amount of data and non-integer data type of 3D (three-dimensional) models, it is less efficient to perform sharing compared to the 2D(two-dimensional) digital images. In order to enable efficient sharing of 3D models as well, this article designs different circuit modules to parallelize the process of sharing 3D models. The proposed structure exploits the vertex extension to perform a complete reconstruction of the 3D model. In the sharing phase, the symmetric similarity of 3D model is exploited to realize the sharing in parallel, which improves the efficiency of sharing. In the reconstruction phase, the Strassen algorithm is used to optimize matrix multiplication, which saves circuit resources. Simulation results show that the structure performs more than 100 times faster than software. The utilization of circuit resources and the size of the share are both optimized. The validity of the designed hardware architecture is confirmed after analyzing the data from experiments performed on several 3D models.

Memristor Array Based on Wafer-Scale 2D HfS2 for Dual-Mode Physically Unclonable Functions.

Conventional Si-based physically unclonable functions (PUFs) take advantage of the unique variations in the fabrication processes. However, these PUFs are hindered by limited entropy sources and susceptibility to noise interference. Here we present a memristive device based on wafer-scale (2-in.) two-dimensional (2D) hafnium disulfide (HfS2) grown by molecular beam epitaxy (MBE). The polycrystalline HfS2 thin film can offer enhanced entropy sources for PUF applications, such as lattice defects, which can facilitate the random formation of conductive filaments and result in significant device-to-device (D2D) variations. Our proposed PUF design seamlessly integrates two distinct operating modes within a single circuit module. First, a reconfigurable and highly secure mode 1, and second, an ultrareliable mode 2, both with near-ideal Entropy (∼1.0), normalized Hamming distance (∼0.5) and correlation coefficient (∼0.0). Additionally, a predictive Fourier regression model further confirms the unpredictable nature of our dual-mode PUF, with an average prediction accuracy of ∼50%.

Impaired oxytocin signalling in the central amygdala in rats with chronic heart failure.

Heart failure (HF) patients suffer from cognitive decline and mood impairments, but the molecular signals and brain circuits underlying these effects remain elusive. The hypothalamic neuropeptide oxytocin (OT) is critically involved in regulating mood, and OTergic signalling in the central amygdala (CeA) is a key mechanism that controls emotional responses including anxiety-like behaviours. Still, whether an altered OTergic signalling contributes to mood disorders in HF remains unknown. To address this, we used an ischaemic rat HF model, along with a highly multidisciplinary approach, to mechanistically study multiple levels of the hypothalamus-to-CeA OTergic circuit in male rats with HF. We aimed to test the hypothesis that sustained activation of the OT system following an infarct leads to depletion of OT content in this pathway, with subsequent changes in OT receptor expression and blunted modulation of local GABAergic circuits. We found that most of OTergic innervation of the CeA originated from the supraoptic nucleus (SON). While no differences in the numbers of SON→CeA OTergic neurons was observed between sham and HF rats, we observed a blunted content and release of OT from axonal terminals within the CeA. Moreover, we report downregulation of neuronal and astrocytic OT receptors, and impaired OTR-driven GABAergic synaptic activity within the CeA microcircuit of HF rats. We provide the first evidence that male HF rats display perturbations in the hypothalamus-to-amygdala OTergic circuit, laying the foundation for future translational studies targeting either the OT system or GABAergic amygdalar microcircuit to ameliorate mood impairments in rats or patients with chronic HF. KEY POINTS: Heart failure patients suffer from cognitive decline, depression and mood impairments, but the underlying mechanisms remain elusive. Acting within the central amygdala, the neuropeptide oxytocin regulates emotional responses, including anxiety-like behaviours. However, whether changes in oxytocin signalling occurs during heart failure is unknown. In this study, we used an ischaemic rat heart failure model to mechanistically study multiple levels of the hypothalamus-to-amygdala oxytocinergic circuit in this disease. We report an overall blunted oxytocinergic signalling pathway in rats with heart failure, including blunted content and release of oxytocin from axonal terminals, downregulation of neuronal and astrocytic oxytocin receptors, and impaired oxytocin-driven GABAergic synaptic activity within the central amygdala microcircuit of HF rats. These studies shed light on mechanisms that contribute to mood disorders in cardiovascular disease states and help to identify potential molecular targets for their improved treatment.

Research on impedance measurement based on Gallium Nitride Transistor

Abstract Impedance measurement has broad applications in fields such as electrochemistry, biology, medicine, and food safety. Typically, frequency response analyzers are used for small signal disturbance measurements, but they come with drawbacks such as high cost, large size, and limited excitation capabilities. To address the need for wide-band, large-signal, and portable impedance measurement in electrochemical applications, a novel scheme based on a Gallium Nitride device excitation circuit and amplitude-phase discrimination module is proposed. A multiphase cascade frequency-doubling buck circuit is used to inject disturbance signals into the impedance under test, and impedance parameters are obtained using discrete fourier transformafter signal sampling. By varying the frequency of the disturbance signal, impedance information across different frequencies can be captured. In this approach, the amplitude-phase discrimination module replaces the frequency response analyzer, reducing the overall size of the measurement system, while the power device-based excitation circuit enables large signal disturbances.

Self-powered wireless sensor networks based on the radioisotope thermoelectric generator for aquatic temperature monitoring

This study focuses on the development of ultra-long-life wireless sensor network (WSN) node based on the thermoelectric effect for use in areas such as aquatic temperature monitoring. A long-lasting radioisotope thermoelectric generator (RTG) was used as the energy source for the WSN node to address issues such as short runtime and pollution associated with traditional chemical batteries and solar cells. A compact RTG was fabricated by developing thermoelectric modules with high adaptability to cylindrical heat sources. The electrical output performance at the ocean surface and in the underwater environment was analyzed, with the maximum output power reaching 2326.6 μW. An integrated circuit module comprising direct current to direct current (DC-DC) boost converters, control switch circuits, and supercapacitors was employed to power the WSN node from the RTG directly. Powered by the RTG, a WSN node for monitoring ocean temperature was also constructed. Its performance was evaluated under different environmental conditions by investigating the effects of RTG’s output, sensor data variations, distance, and other factors on WSN node stability. Results demonstrate that the designed self-powered WSN node can operate stably and continuously at the ocean surface and in underwater environments, thereby showing its promising prospects.

Design of Integrator and Comparator based on Digital Integrated

This article discusses the design method of integrator and comparator based on digital integrated circuits and circuit simulation using multisim is used to prove the functionality and performance of the circuits. By studying the advantages of digital circuits a circuit module has been designed which can realize integrator and comparator. This paper describes in detail the functioning and designing steps of the circuit and shows the results after simulation. The advantages, disadvantages and application cases of the design are analyzed through the simulation results. The simulation results show that it can fulfill the needs of various scenarios well.

Optogenetic Stimulation Recruits Cortical Neurons in a Morphology-Dependent Manner.

Single-photon optogenetics enables precise, cell-type-specific modulation of neuronal circuits, making it a crucial tool in neuroscience. Its miniaturization in the form of fully implantable wide-field stimulator arrays enables long-term interrogation of cortical circuits and bears promise for brain-machine interfaces for sensory and motor function restoration. However, achieving selective activation of functional cortical representations poses a challenge, as studies show that targeted optogenetic stimulation results in activity spread beyond one functional domain. While recurrent network mechanisms contribute to activity spread, here we demonstrate with detailed simulations of isolated pyramidal neurons from cats of unknown sex that already neuron morphology causes a complex spread of optogenetic activity at the scale of one cortical column. Since the shape of a neuron impacts its optogenetic response, we find that a single stimulator at the cortical surface recruits a complex spatial distribution of neurons that can be inhomogeneous and vary with stimulation intensity and neuronal morphology across layers. We explore strategies to enhance stimulation precision, finding that optimizing stimulator optics may offer more significant improvements than the preferentially somatic expression of the opsin through genetic targeting. Our results indicate that, with the right optical setup, single-photon optogenetics can precisely activate isolated neurons at the scale of functional cortical domains spanning several hundred micrometers.

Design of thermally programmable 3D shape memory polymer-based devices tailored for endovascular treatment of intracranial aneurysms

Despite recent technological advancements in endovascular embolization devices for treating intracranial aneurysms (ICAs), incomplete occlusion and aneurysm recanalization remain critical challenges. Shape memory polymer (SMP)-based devices, which can be manufactured and tailored to patient-specific aneurysm geometries, possess the potential to overcome the suboptimal treatment outcome of the gold standard: endovascular coiling. In this work, we propose a highly porous patient-specific SMP embolic device fabricated via 3D printing to optimize aneurysm occlusion, and thus, improve the long-term efficacy of endovascular treatment. To facilitate device deployment at the aneurysm via Joule-heating, we introduce a stable, homogeneous coating of poly-pyrrole (PPy) to enhance the electrical conductivity in the SMP material. Using an in-house pulse width modulation circuit, we induced Joule-heating and characterized the shape recovery of the PPy-coated SMP embolic devices. We found that the employed PPy coating enables enhanced electrical and thermal conductivity while only slightly altering the glass transition temperature of the SMP material. Additionally, from a series of parametric studies, we identified the combination of catalyst concentration and pyrrole polymerization time that yielded the shape recovery properties ideal for ICA endovascular therapy. Collectively, these findings highlight a promising material coating for a future coil-free, personalized shape memory polymer (SMP) embolic device, designed to achieve long-lasting, complete occlusion of aneurysms.

α-Synuclein aggregation decreases cortico-amygdala connectivity and impairs social behavior in mice

Abnormal accumulation of insoluble α-synuclein (α-Syn) inclusions in neurons, neurites, and glial cells is the defining neuropathology of synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy. Accumulation of α-Syn inclusions in the amygdala has been well-documented in post-mortem studies of PD and DLB brains, as well as preclinical animal models of these conditions. Though α-Syn pathology is closely associated with neurodegeneration, there is a poor correlation between neuronal loss in the amygdala and the clinical features of PD and DLB. Moreover, functional interaction between the cerebral cortex and the amygdala is critical to regulating emotion, motivation, and social behaviors. The cortico-amygdala functional interaction is likely to be disrupted by the development of α-Syn pathology in the brain. Thus, we hypothesize that neuronal α-Syn inclusions disrupt cortical modulation of the amygdala circuits and are sufficient to drive social behavioral deficits. In the present work, we designed a series of longitudinal studies to rigorously measure the time courses of neurodegeneration, functional impairment of cortico-amygdala connectivity, and development of amygdala-dependent social behavioral deficits to test this hypothesis. We injected α-Syn preformed fibrils (PFFs) into the dorsal striatum to induce α-Syn aggregation in the amygdala and the medial prefrontal cortex (mPFC) of C57BL6 mice of both sexes, followed by a detailed analysis of temporal development of α-Syn pathology, synaptic deficits, and neuronal loss in the amygdala, as well as behavioral deficits at 3–12 months post injections. Development of α-Syn inclusions caused losses of cortical axon terminals and cell death in the basolateral amygdala (BLA) at 6- and 12-months post injections, respectively. At a relatively early stage of 3 months post injections, the connection strength of the mPFC-BLA synapse was decreased in PFFs-injection mice compared to controls. Meanwhile, the PFFs-injected mice showed impaired social interaction behavior, which was rescued by chemogenetic stimulation of mPFC-BLA connections. Altogether, we presented a series of evidence to delineate circuit events in the amygdala associated with the accumulation of α-Syn inclusions in the mouse brain, highlighting that functional impairment of the amygdala is sufficient to cause social behavior deficits. The present work further suggests that early circuit modulation could be an effective approach to alleviate symptoms associated with α-Syn pathology, necessitating studies of functional consequences of α-Syn aggregation.

Using knowledge building and flipped learning to enhance students' learning performance in a hands‐on STEM activity

AbstractBackgroundSociety requires individuals to have the ability to synthesise knowledge from diverse sources, typically acquired through science, technology, engineering, and mathematics (STEM) education.Objectives and MethodsWe utilised a moderately rigorous design to investigate the effects of combining a hands‐on STEM activity with active learning approaches of knowledge building (KB) and flipped learning on the learning performance of 188 senior students. Students needed to work in groups to construct a remote‐controlled car using a remote‐control module and electrical circuit, followed by the task of putting balls into a basket.ResultsAfter the activity, all participants' STEM knowledge, learning motivation, and creativity improved. For STEM knowledge, students who received the integrated KB and flipped learning approach (E2 group) outscored those who received only KB (E1 group), whereas the E1 group outperformed those who received lectures (control group). For learning motivation, the E1 group outperformed the control group. The E2 group outperformed the control group on the post‐test only when the students' learning motivation pre‐test scores were lower, suggesting the effectiveness of both active learning approaches. For creativity, both E1 and E2 groups performed better than the control group.ConclusionsThe potential benefits of combining active learning approaches with hands‐on STEM activities were revealed in terms of STEM knowledge, learning motivation, and creativity. Surprisingly, the combination method was the most effective in energising unmotivated students for STEM education.

Frequency-Selective Suppression of Essential Tremor via Transcutaneous Spinal Cord Stimulation.

Essential tremor (ET) is a common debilitating condition, yet current treatments often fail to provide satisfactory relief. Transcutaneous spinal cord electrical stimulation (tSCS) has emerged as a potential noninvasive neuromodulation technique capable of disrupting the oscillatory activity underlying tremors. This study aimed to investigate the potential of tSCS to disrupt tremor in a frequency-dependent manner in a cohort of patients with ET. Eighteen patients with ET completed the study. The experiment consisted of 60-s postural tremor recording, during tSCS at tremor frequency, at 1 Hz, at 21 Hz, no stimulation, and trapezius stimulation. Tremor frequency and amplitude were analyzed and compared across the conditions. We found tremor amplitude reduction at tremor frequency stimulation significant only during the second half of the stimulation. The same stimulation resulted in the highest number of responders. tSCS at 1 Hz showed a trend toward decreased tremor amplitude in the latter half of stimulation. tSCS at 21 Hz did not produce any significant alterations in tremor, whereas trapezius stimulation exacerbated it. Notably, during tremor frequency stimulation, a subgroup of responders exhibited consistent synchronization between tremor phase and delivered stimulation, indicating tremor entrainment. Cervical tSCS holds promise for alleviating postural tremor in patients with ET when delivered at the subject's tremor frequency. The observed changes in tremor amplitude likely result from the modulation of spinal cord circuits by tSCS, which disrupts the oscillatory drive to muscles by affecting afferent pathways or spinal reflexes. However, the possibility of an interplay between spinal and supraspinal centers cannot be discounted. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Dopamine-mediated formation of a memory module in the nucleus accumbens for goal-directed navigation.

Spatial memories guide navigation efficiently toward desired destinations. However, the neuronal and circuit mechanisms underlying the encoding of goal locations and its translation into goal-directed navigation remain unclear. Here we demonstrate that mice rapidly form a spatial memory of a shelter during shelter experiences, guiding escape behavior toward the goal location-a shelter-when under threat. Dopaminergic neurons in the ventral tegmental area and their projection to the nucleus accumbens (NAc) encode safety signals associated with the shelter. Optogenetically induced phasic dopamine signals are sufficient to create a place memory that directs escape navigation. Converging dopaminergic and hippocampal glutamatergic inputs to the NAc mediate the formation of a goal-related memory within a subpopulation of NAc neurons during shelter experiences. Artificial co-activation of this goal-related NAc ensemble with neurons in the dorsal periaqueductal gray was sufficient to trigger memory-guided, rather than random, escape behavior. These findings provide causal evidence of cognitive circuit modules linking memory with goal-directed action.

Adrenergic signaling gates astrocyte responsiveness to neurotransmitters and control of neuronal activity.

How astrocytes regulate neuronal circuits is a fundamental, unsolved question in neurobiology. Nevertheless, few studies have explored the rules that govern when astrocytes respond to different neurotransmitters in vivo and how they affect downstream circuit modulation. Here, we report an unexpected mechanism in Drosophila by which G-protein coupled adrenergic signaling in astrocytes can control, or "gate," their ability to respond to other neurotransmitters. Further, we show that manipulating this pathway potently regulates neuronal circuit activity and animal behavior. Finally, we demonstrate that this gating mechanism is conserved in mammalian astrocytes, arguing it is an ancient feature of astrocyte circuit function. Our work establishes a new mechanism by which astrocytes dynamically respond to and modulate neuronal activity in different brain regions and in different behavioral states.

An electronic energy compensation method for flattening the energy response of SiPM-GGAG:Ce,B based gamma detector

Abstract The energy response of gross gamma dose rate monitors needs to be flat in order to prevent overestimation of dose at low gamma energies. In this paper, a discriminator threshold modulation based electronic energy compensation algorithm has been proposed for SiPM-scintillator based gamma detectors. Theoretical simulation studies were carried out in order to optimize the parameters of the periodic ramp voltage used for modulation of the discriminator threshold of a SiPM-GGAG:Ce,B based gamma dose rate monitor. A customized threshold modulation circuit and signal processing electronics were developed for this gamma detector. For experimentally optimizing the parameters, the energy response studies of the detector, with and without the discriminator threshold modulation, were carried out. With the optimized parameters for a periodic ramp threshold, the count rates for 241Am (60 keV) and 60Co (1173 and 1332 keV) were observed to be within ±30% of the count rate obtained for 137Cs (662 keV). Using the electronic energy compensation techniques presented in this paper, a flat energy response of the SiPM-scintillator gamma detector for the energy range of 60 keV to 1.5 MeV could be achieved.

Progressive gray matter atrophy in parkinsonian variant of multiple system atrophy assessed by using causal structural covariance network.

Multiple system atrophy (MSA), a rare neurodegenerative disease, is usually accompanied by brain morphological alterations. However, the causal relationships between progressive gray matter atrophy in MSA parkinsonian (MSA-P) subtype remain unknown. In total, thirty-five MSA-P patients and thirty-five healthy controls (HC) underwent three-dimensional high-resolution T1-weighted structural imaging and voxel-based morphometry analysis. The causal structural covariance network (CaSCN) of gray matter was assessed to explore the causal relationships in MSA-P. With greater illness duration, the reduction of gray matter was originated from right cerebellum and progressed to bilateral cerebellum, fusiform gyrus, insula, putamen, caudate nucleus, frontal lobe, right angular gyrus, right precuneus, left middle occipital lobe and left inferior temporal lobe, then expanded to midbrain, bilateral para-hippocampus, thalamus, temporal lobe, inferior parietal lobule (IPL), precentral gyrus, postcentral gyrus and middle cingulate cortex. The right cerebellum was revealed to be the core node of the directional network and projected positive causal effects to bilateral cerebellum, caudate nucleus and left IPL. MSA-P patients showed progression of gray matter atrophy over time, with the right cerebellum probably as a primary hub. Furthermore, the early structural vulnerability of cerebellum in MSA-P may play a pivotal role in the modulation of motor and non-motor circuits at the structural level.