Publications by authors named "RongXin Zhu"

To investigate the associations between demographic factors and brain hierarchical changes following successful selective serotonin reuptake inhibitor (SSRI) treatment, 57 major depressive disorder (MDD) patients who achieved remission after a 12-week SSRI treatment and 39 healthy controls (HCs) were recruited. MDD patients underwent diffusion tensor imaging (DTI) scans before treatment and after the 12-week SSRI treatment. Depression severity was evaluated with the Hamilton Rating Scale for Depression (HAMD) using the total score and the subscales: retardation, cognitive impairment, anxiety, and sleep disturbance.

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  • The study critiques the limitations of the existing ambient noise model in deep ocean scenarios, especially for shallow-located platforms, highlighting issues with conventional sound-ray grazing angle estimates that neglect surface noise effects.
  • It introduces a novel approach that combines hydroacoustic modeling with signal processing, using a time-domain model tailored to shallow receivers and deriving a covariance matrix for target signal-to-noise ratio (SNR) estimation.
  • Experimental results from the South China Sea demonstrate that the proposed method reliably estimates target parameters, including grazing angles, even in challenging conditions, with implications for broader applications in underwater acoustic engineering.
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Astrocytes, constituting the predominant glial cells in the brain, undergo significant morphological and functional transformations amidst the progression of Parkinson's disease (PD). A majority of these reactive astrocytes display a neurotoxic phenotype, intensifying inflammatory responses. Nonetheless, the molecular underpinnings steering neurotoxic astrocyte reactivity during PD progression remain mostly uncharted.

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  • The study aimed to improve classification accuracy of major depression (MDD) and healthy controls (HC) using deep learning methods based on vocal acoustic features from participants aged 16-25.
  • It involved 120 participants, with vocal data processed using the Covarep algorithm, and models built using Python to distinguish between MDD and HC and to predict depression severity.
  • Results indicated a high classification accuracy (84.16%) and strong correlation with the Hamilton Depression Scale, suggesting that vocal features can effectively differentiate between depression severity and healthy states.
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  • Major depressive disorder (MDD) is linked to altered brain network dynamics and stress, but the connections between these changes and their molecular causes are still not well understood.
  • Research examined neuroimaging data from 183 MDD patients and 300 healthy controls, finding reduced structural-functional connectivity (SC-FC) in MDD, particularly with differences between cortical and subcortical regions.
  • The study identified specific changes in DNA methylation of key genes in the HPA axis that correlate with SC-FC coupling, suggesting these epigenetic alterations could be crucial for understanding MDD and targeting treatments.
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Making full use of the captured energy by phosphorescence light-harvesting systems (PLHSs) and the tunable photoluminescence in energy transfer process to realize the multiple applications is still the challenge of PLHSs research. In this study, we have successfully constructed a highly effective PLHS with tunable multicolor luminescence and efficient conversion of photosensitizer types, which can further be used in photocatalytic organic conversion, information anti-counterfeiting and storage. The supramolecular polymer of BDBP-CB[8], which is generated by cucurbit[8]uril (CB[8]) and 4-(4-bromophenyl)-pyridine derivative (BDBP), realizes a phosphorescence emission and a change in luminescence color.

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Background: Prior observational research has indicated a potential link between pediatric asthma and united airways disease (UAD). However, these findings could be subject to confounding factors and reverse causation. Therefore, our study utilizes Mendelian randomization (MR) method to further investigate the causal relationship between pediatric asthma and UAD.

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Background: Early life stress (ELS) significantly increases the risk of mood disorders and affects the neurodevelopment of the primary cortex.

Hypothesis: Modulating the primary cortex through neural intervention can ameliorate the impact of ELS on brain development and consequently alleviate its effects on mood disorders.

Method: We induced the chronic unpredictable mild stress (CUMS) model in adolescent rats, followed by applying repetitive transcranial magnetic stimulation (rTMS) to their primary cortex in early adulthood.

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The long-term mental health consequences of COVID-19 in children and adolescents remain unclear. We investigated the impact of COVID-19 infection on mental health after China's zero-COVID policy relaxation, focusing on symptom-specific and social-family risk factors for mental health issues in children and adolescents. In a longitudinal study, 8348 youths (aged 10-18) were assessed twice (T1: September to October 2022 and T2: April to May 2023).

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Background: Depression and anxiety are common and disabling mental health problems in children and young adults. Group cognitive behavioral therapy (GCBT) is considered that an efficient and effective treatment for these significant public health concerns, but not all participants respond equally well. The aim of this study was to examine the predictive ability of heart rate variability (HRV), based on sensor data from consumer-grade wearable devices to detect GCBT effectiveness in early intervention.

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As an outstanding visual system for insects and crustaceans to cope with the challenges of survival, compound eye has many unique advantages, such as wide field of view, rapid response, infinite depth of field, low aberration and fast motion capture. However, the complex composition of their optical systems also presents significant challenges for manufacturing. With the continuous development of advanced materials, complex 3D manufacturing technologies and flexible electronic detectors, various ingenious and sophisticated compound eye imaging systems have been developed.

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Surface NO pollution can result in serious health consequences such as cardiovascular disease, asthma, and premature mortality. Due to the extensive spatial variation in surface NO, the spatial resolution of a NO dataset has a significant impact on the exposure and health impact assessment. There is currently no long-term, high-resolution, and publicly available NO dataset for China.

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The competitive nature of type II photosensitizers in the transfer of excitation energy for the generation of singlet oxygen (O) presents significant challenges in the design of type I photosensitizers to produce the superoxide anion radical (O). In this study, we present an efficient method for the direct transformation of type II photosensitizers into type I photosensitizers through the implementation of an artificial light-harvesting system (ALHSs) involving a two-step sequential energy transfer process. The designed supramolecular complex (DNPY-SBE-β-CD) not only has the ability to generate O as type II photosensitizers, but also demonstrates remarkable fluorescence properties in aqueous solution, which renders it an efficient energy donor for the development of type I photosensitizers ALHSs, thereby enabling the efficient generation of O.

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Biofeedback therapy is mainly based on the analysis of physiological features to improve an individual's affective state. There are insufficient objective indicators to assess symptom improvement after biofeedback. In addition to psychological and physiological features, speech features can precisely convey information about emotions.

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  • * Forty male rats were assigned to different groups to undergo resistance training or stay in a low-oxygen environment for four weeks, with muscle samples analyzed afterwards.
  • * Results showed that resistance training reversed muscle loss caused by hypoxia by reducing FoxO1 activity and autophagy, leading to improvements in muscle mass and size.
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Early-onset mental disorders are associated with disrupted neurodevelopmental processes during adolescence. The methylazoxymethanol acetate (MAM) animal model, in which disruption in neurodevelopmental processes is induced, mimics the abnormal neurodevelopment associated with early-onset mental disorders from an etiological perspective. We conducted longitudinal structural magnetic resonance imaging (MRI) scans during childhood, adolescence, and adulthood in MAM rats to identify specific brain regions and critical windows for intervention.

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Supramolecular organic frameworks (SOFs) mostly require high-energy purple or blue light for photocatalytic reactions, while highly abundant and low-energy light systems have rarely been explored. Therefore, it is necessary to construct 2D SOFs for low-energy light-induced photocatalysis. This study describes the design and synthesis of a water-soluble two-dimensional (2D) supramolecular organic framework (TP-SOF) using the host-guest interaction between a triphenylamine derivative (TP-3Py) and cucurbit[8]uril (CB[8]).

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Background: Symptom-based diagnostic criteria of depression leads to notorious heterogeneity and subjectivity.

Methods: The study was conducted in two stages at two sites: development of a neuroimaging-based subtyping and precise repetitive transcranial magnetic stimulation (rTMS) strategy for depression at Center 1 and its clinical application at Center 2. Center 1 identified depression subtypes and subtype-specific rTMS targets based on amplitude of low frequency fluctuation (ALFF) in a cohort of 238 major depressive disorder patients and 66 healthy controls (HC).

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Unlabelled: The diagnosis of bipolar disorders (BD) mainly depends on the clinical history and behavior observation, while only using clinical tools often limits the diagnosis accuracy. The study aimed to create a novel BD diagnosis framework using multilayer modularity in the dynamic minimum spanning tree (MST). We collected 45 un-medicated BD patients and 47 healthy controls (HC).

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Background: Major depressive episode (MDE) is the main clinical feature of mood disorders (major depressive disorder and bipolar disorder) in adolescents and young adults and accounts for most of the disease course. However, 30%-40% of MDE patients not responding to clinical first-line interventions. It is crucial to predict treatment response in the early stages and identify biomarkers associated with treatment response.

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Adolescent psychotic mood disorder (MDP) is a specific phenotype that characterized by more severe symptoms and prognosis compared to nonpsychotic mood disorder (MDNP). But the underlying neural mechanisms remain unknown, and graph theory analysis can help to understand possible mechanisms of psychotic symptoms from the perspective of functional networks. A total of 177 adolescent patients with mood disorders were recruited, including 61 MDP and 116 MDNP.

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Aims: Neurodevelopmental impairments are closely linked to the basis of adolescent major psychiatric disorders (MPDs). The visual cortex can regulate neuroplasticity throughout the brain during critical periods of neurodevelopment, which may provide a promising target for neuromodulation therapy. This cross-species translational study examined the effects of visual cortex repetitive transcranial magnetic stimulation (rTMS) on neurodevelopmental impairments in MPDs.

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This study aims to evaluate the effect of rhythm training in the early coordination development and to find out its role in the transfer of specific performance in young swimmers. Eighty young swimmers aged eight to twelve were divided randomly into a control group (CON,  = 40, M/F=17/23) or an experimental group (EXP,  = 40, M/F=19/21). A total of 72 swimmers completed all the training programs and tests included in this study (CON,  = 35, M/F=15/20; EXP,  = 37, M/F=16/21).

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Background: The absence of biomarkers for predicting treatment response in adolescent mood disorder calls for further research. The vermis, a component of the cerebellum, is involved in mood disorder pathophysiology and relates to clinical symptoms and treatment outcomes. We investigated vermis functional connectivity (FC) as an early marker for treatment response identification.

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