Publications by authors named "Zhe-ning Liu"

Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls.

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Immune checkpoint inhibitors (ICIs) have revolutionized cancer management and have been widely applied; however, they still have some limitations in terms of efficacy and toxicity. There are multiple treatment regimens in Traditional Chinese Medicine (TCM) that play active roles in combination with Western medicine in the field of oncology treatment. TCM with ICIs works by regulating the tumor microenvironment and modulating gut microbiota.

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  • Despite advancements in neuroimaging research on major depressive disorder (MDD), findings remain inconsistent due to small sample sizes and varying analysis methods, prompting the launch of the Depression Imaging REsearch ConsorTium (DIRECT) and the REST-meta-MDD project, which pooled data from 2,428 functional brain images.
  • The initial analyses revealed significant changes in brain connectivity and dynamics, laying the groundwork for future research and highlighting the need for more comprehensive studies across diverse populations.
  • DIRECT's second phase aims to broaden the investigation of brain alterations in MDD by including various ethnic groups and other mental health disorders, while also focusing on long-term studies of treatment effects and improving neuroimaging methodologies for clinical applications.
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  • The study investigates the nucleus accumbens (NAc), which is key in reward processing and its role in major depressive disorder (MDD).
  • Through meta- and mega-analysis of resting-state fMRI data, it was found that patients with recurrent MDD exhibited decreased functional connectivity within the NAc-based reward circuits.
  • The research highlights that disrupted connectivity between the reward network and the default mode network (DMN) may aid in differentiating MDD patients from healthy individuals, suggesting potential biomarkers for diagnosis.
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  • The study investigates the alterations in functional homotopy architecture in patients with Major Depressive Disorder (MDD), highlighting a significant reduction in functional connectivity between homotopic brain regions.
  • Using resting-state fMRI data from over 1,000 MDD patients and nearly 900 healthy controls, researchers found specific areas in the brain, like the posterior cingulate gyrus and precuneus, showed notably decreased connectivity in MDDs, with variations related to age and gender.
  • The findings suggest that structural connectivity deficits in MDD may impact how information is exchanged between the brain's hemispheres, correlating with the severity of depressive symptoms and indicating potential areas for further study in treatment.
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  • * Researchers employed graph theory methods to analyze functional brain networks, finding that MDD patients exhibited significantly decreased global and local efficiency compared to normal controls.
  • * The results highlighted specific disruptions in critical brain networks, particularly affecting recurrent MDD patients, indicating a consistent pattern of impaired efficiency in both local and global brain network communication.
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  • This study aims to investigate the neural underpinnings of gastrointestinal (GI) symptoms in patients with major depressive disorder (MDD) by examining changes in brain structure, specifically focusing on gray matter volume (GMV) and density (GMD).* -
  • Researchers divided participants into three groups: MDD patients with GI symptoms, MDD patients without GI symptoms, and healthy controls, analyzing MRI scans from a total of 930 individuals and using tools like the Hamilton Depression Rating Scale to assess symptoms.* -
  • Results showed that patients with GI symptoms had higher depression scores and significant differences in brain structure compared to the other groups, particularly in regions like the superior temporal gyrus and caudate nucleus, suggesting a link between
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  • The study investigates brain functional connectivity asymmetry in patients with Major Depressive Disorder (MDD) using resting-state fMRI data from 753 patients compared to 451 healthy controls.
  • Results show that MDD patients exhibited increased asymmetry scores, indicating decreased specialization in various brain networks, particularly in the default mode, control, and attention networks, influenced by demographic and clinical variables.
  • The findings suggest that MDD disrupts efficient brain information processing, providing new insights into the pathophysiology of depression that could inform future research.
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  • Major depressive disorder (MDD) is complex and can be divided into subtypes based on differences in brain connectivity within the default mode network (DMN), as revealed by a study involving 1,397 participants (690 MDD patients and 707 healthy controls).
  • Researchers used advanced data analysis methods, such as K-means and principal component analysis, to identify two distinct MDD subgroups—hyperDMN MDD (increased connectivity) and hypoDMN MDD (decreased connectivity)—which were consistently observed across multiple trials.
  • The discovery highlights the importance of understanding these neural subtypes, potentially guiding more personalized treatments for individuals with depression based on their specific connectivity patterns.
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The pattern of decreased prefronto-thalamic connectivity and increased sensorimotor-thalamic connectivity has been consistently documented in schizophrenia. However, whether this thalamo-cortical abnormality pattern is of genetic predisposition remains unknown. The present study for the first time aimed to investigate the common and distinct characteristics of this circuit in schizophrenia patients and their unaffected siblings who share half of the patient's genotype.

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Background: Medical students have high rates of depression, anxiety, and burnout that have been found to affect their empathy, professional behaviors, and performance as a physician. While studies have examined predictors for burnout and depression in the United States (US), no study, to our knowledge, has compared depression in medical students cross-culturally, or has attempted to examine the effect of factors influencing rates including burnout, exercise, stress, unmet mental health needs, and region.

Aim: To examine rates of depression in three international cohorts of medical students, and determine variables that may explain these differences.

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Article Synopsis
  • Major depressive disorder (MDD) is prevalent and disabling, with unclear underlying brain mechanisms; the REST-meta-MDD Project aims to address these knowledge gaps using a large data set.
  • The project involved 25 research groups in China analyzing resting-state fMRI data from 1,300 MDD patients and 1,128 normal controls, finding decreased connectivity in the default mode network (DMN) among recurrent MDD patients.
  • The study highlights the importance of DMN connectivity in MDD, revealing a relationship between decreased connectivity, medication usage, and symptom severity, while encouraging further research on the impact of these findings on treatment response.
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Background: Abnormal decision-making processes have been observed in patients with major depressive disorder (MDD). However, it is unresolved whether MDD patients show abnormalities in decision making in a social interaction context, in which decisions have actual influences on both the self-interests of the decision makers per se and those of their partners.

Methods: Using a well-studied ultimatum game (UG), which is frequently used to investigate social interaction behavior, we examined whether MDD can be associated with abnormalities in social decision-making behavior by comparing the acceptance rates of MDD patients (N = 14) with those of normal controls (N = 19).

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Background: Patients with treatment-resistant depression (TRD) and those with treatment-sensitive depression (TSD) responded to antidepressants differently. Previous studies have commonly shown that patients with TRD or TSD had abnormal neural activity in different brain regions. In the present study, we used a coherence-based ReHo (Cohe-ReHo) approach to test the hypothesis that patients with TRD or TSD had abnormal neural activity in different brain regions.

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Abnormalities of the white matter (WM) tracts integrity in brain areas involved in emotional regulation have been postulated in major depressive disorder (MDD). However, there is no diffusion tensor imaging (DTI) study in patients with treatment-responsive MDD at present. DTI scans were performed on 22 patients with treatment-responsive MDD and 19 well-matched healthy subjects.

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Aim: To investigate the prevalence and physicians' detection rate of depressive and anxiety disorders in gastrointestinal (GI) outpatients across China.

Methods: A hospital-based cross-sectional survey was conducted in the GI outpatient departments of 13 general hospitals. A total of 1995 GI outpatients were recruited and screened with the Hospital Anxiety and Depression Scale (HADS).

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Background: Patients with treatment-resistant depression (TRD) and those with treatment-response depression (TSD) respond to antidepressants differently and previous studies have commonly reported different brain networks in resistant and nonresistant patients. Using the amplitude of low-frequency fluctuations (ALFF) approach, we explored ALFF values of the brain regions in TRD and TSD patients at resting state to test the hypothesis of the different brain networks in TRD and TSD patients.

Methods: Eighteen TRD patients, 17 TSD patients and 17 gender-, age-, and education-matched healthy subjects participated in the resting-state fMRI scans.

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Background: Abnormality of limbic-cortical networks was postulated in depression. Using a regional homogeneity (ReHo) approach, we explored the regional homogeneity (ReHo) of the brain regions in patients with first-episode, treatment-naïve, short-illness-duration, and treatment-response depression in resting state to test the abnormality hypothesis of limbic-cortical networks in major depressive disorder (MDD).

Methods: Seventeen patients with treatment-response MDD and 17 gender-, age-, and education-matched healthy subjects participated in the resting-state fMRI scans.

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Background: Using a newly developed regional homogeneity (ReHo) approach, we were to explore the features of brain activity in patients with treatment-resistant depression (TRD) in resting state, and further to examine the relationship between abnormal brain activity in TRD patients and specific symptom factors derived from ratings on the Hamilton Rating Scale for Depression (HRSD).

Methods: 24 patients with TRD and 19 gender-, age-, and education-matched healthy subjects participated in the fMRI scans.

Results: 1.

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Objectives: To find the prevalence of depressive and anxiety disorders among general hospital outpatients and to evaluate the diagnoses and treatment provided by physicians in China.

Methods: A multi-center, hospital-based cross-sectional study was conducted. A total of 8478 subjects were screened by using HADS and PHQ-15 together with medical history review list and were followed by regular clinical visit process.

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Rationale: Glucose and lipid metabolism dysfunction is a significant side effect associated with antipsychotics. Although there are many studies about the linkages between drugs and metabolic dysfunction, most of these studies have compared the effects of two antipsychotics on only one metabolic measure: either glucose or lipid metabolism.

Objectives: The present study aimed to investigate the effects of clozapine, olanzapine, risperidone, and sulpiride on glucose and lipid metabolism in first-episode schizophrenia.

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Objective: To investigate the distribution of genotype and allele frequencies of the dopamine D4 receptor(DRD4) gene exon 3 48 bp variable number of tandem repeats polymorphism in Hunan Han population.

Methods: The genotype and alleles of 304 healthy persons were examined with polymerase chain reaction, denaturing polyacrylamide gel electrophoresis and silver staining.

Results: Seven alleles and twelve genotypes were found.

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