Kaizhong Xue

ORCID: 0000-0002-4255-8913
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Research Areas
  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Genetic Associations and Epidemiology
  • Advanced Neuroimaging Techniques and Applications
  • Tryptophan and brain disorders
  • Bioinformatics and Genomic Networks
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Autism Spectrum Disorder Research
  • Dementia and Cognitive Impairment Research
  • Genetics and Neurodevelopmental Disorders
  • Schizophrenia research and treatment
  • EEG and Brain-Computer Interfaces
  • Epigenetics and DNA Methylation
  • Neurological Disease Mechanisms and Treatments
  • Genetic and phenotypic traits in livestock
  • Urban Green Space and Health
  • Smoking Behavior and Cessation
  • Attention Deficit Hyperactivity Disorder
  • Child and Adolescent Psychosocial and Emotional Development
  • Neurological Disorders and Treatments
  • Virology and Viral Diseases
  • Photoreceptor and optogenetics research
  • Circadian rhythm and melatonin
  • Genetic Mapping and Diversity in Plants and Animals

Tianjin Medical University General Hospital
2020-2025

Capital Medical University
2023-2024

Xuan Wu Hospital of the Capital Medical University
2024

Abstract Background Major depressive disorder (MDD) is a common debilitating characterized by impaired spontaneous brain activity, yet little known about its alterations in dynamic properties and the molecular mechanisms associated with these changes. Methods Based on resting-state functional MRI data of 65 first-episode, treatment-naïve patients MDD 66 healthy controls, we compared regional homogeneity (dReHo) activity between two groups, investigated gene expression profiles dReHo...

10.1017/s0033291720003876 article EN Psychological Medicine 2020-10-30

Although both schizophrenia and gray matter volume (GMV) show high heritability, however, genes accounting for GMV alterations in remain largely unknown. Based on risk identified by the genome-wide association study of Schizophrenia Working Group Psychiatric Genomics Consortium, we used transcription-neuroimaging analysis to test that which these are associated with changes schizophrenia. For each brain tissue sample, expression profiles 196 were extracted from six donated normal brains...

10.1016/j.neuroimage.2020.117526 article EN cc-by NeuroImage 2020-11-02

Resting-state functional connectivity in the human brain is heritable, and previous studies have investigated genetic basis underlying connectivity. However, at present, molecular mechanisms associated with network centrality are still largely unknown. In this study, networks were constructed, graph-theory method was employed to calculate 100 healthy young adults from Human Connectome Project. Specifically, strength (FCS), also known as "degree centrality" of weighted networks, calculated...

10.1002/hbm.25362 article EN Human Brain Mapping 2021-02-11

Neuroimaging studies have shown that schizophrenia is associated with disruption of resting-state local functional connectivity. However, these findings vary considerably, which hampers our understanding the underlying pathophysiological mechanisms schizophrenia. Here, we performed an updated and extended meta-analysis to identify most consistent changes connectivity measured by regional homogeneity (ReHo) in Specifically, a systematic search ReHo patients PubMed, Embase, Web Science...

10.1038/s41537-022-00311-2 article EN cc-by Schizophrenia 2022-11-08

It has been revealed that brain gray matter volume (GMV) abnormalities are present in patients with vascular cognitive impairment (VCI). However, the GMV alterations have uncovered highly inconsistent, and their correlation gene expression profiles is still largely unknown. To establish a between VCI-related patterns uncover potential genetic underlying VCI. Here, quantitative meta-analysis compared voxel-based VCI healthy controls (HCs) was carried out on 11 datasets (10 from previous...

10.1016/j.metrad.2023.100035 article EN cc-by-nc-nd Meta-Radiology 2023-11-01

Numerous studies report abnormal cerebral cortex volume (CCV) in autism spectrum disorder (ASD); however, genes related to CCV abnormalities ASD remain largely unknown. Here, we identify associated with alterations by performing spatial correlations between the gene expression of 6 donated brains and neuroimaging data from 1,404 patients 1,499 controls. Based on differences two independent meta-analyses individual distributions 404 496 controls, 417 both distributions. These are enriched for...

10.1016/j.celrep.2020.108137 article EN cc-by-nc-nd Cell Reports 2020-09-01

Autism spectrum disorders (ASDs) are a group of heterogeneous neurodevelopmental that highly heritable and associated with impaired dynamic functional connectivity (DFC). However, the molecular mechanisms behind DFC alterations remain largely unknown. Eighty-eight patients ASDs 87 demographically matched typical controls (TCs) from Brain Imaging Data Exchange II database were included in this study. A seed-based sliding window approach was then performed to investigate changes each 29 seeds...

10.3389/fnins.2021.794151 article EN cc-by Frontiers in Neuroscience 2022-01-10

Abstract Aims The amplitude of low‐frequency fluctuations (ALFF) resting‐state functional MRI signals is a reliable neuroimaging measure spontaneous brain activity. Inconsistent ALFF alterations have been reported in major depressive disorder (MDD) possibly due to clinical heterogeneity. This study was designed investigate clinically sensitive and insensitive genes associated with MDD the potential mechanisms. Methods Transcription‐neuroimaging association analyses case–control differences...

10.1111/cns.14311 article EN cc-by CNS Neuroscience & Therapeutics 2023-06-13

Depressive disorder prevalence in patients with schizophrenia has been reported to be 40%. People low socioeconomic status (SES) are more likely suffer from and major depressive (MDD). However, the causal relationship between depression potential mediating role of SES remains unclear. Two-sample Mendelian randomization (MR) analyses were conducted explore bidirectional MDD largest sample size European ancestry public genome-wide association studies (sample ranged 130,644 480,359). Inverse...

10.1038/s41537-023-00389-2 article EN cc-by Schizophrenia 2023-08-29

Abstract Aims Schizophrenia is characterized by alterations in resting‐state spontaneous brain activity; however, it remains uncertain whether variations at diverse spatial scales are capable of effectively distinguishing patients from healthy controls. Additionally, the genetic underpinnings these remain poorly elucidated. We aimed to address questions this study gain better understanding and their underlying factors schizophrenia. Methods A cohort 103 individuals with diagnosed...

10.1111/cns.14906 article EN cc-by CNS Neuroscience & Therapeutics 2024-08-01

Background Alzheimer’s disease (AD) is one of the most severe neurodegenerative diseases leading to dementia in elderly. Cerebral atrophy and hypoperfusion are two important pathophysiological characteristics. However, it still unknown about area-specific causal pathways between regional gray matter atrophy, cerebral hypoperfusion, cognitive impairment AD patients. Method Forty-two qualified patients 49 healthy controls (HC) were recruited this study. First, we explored voxel-wise...

10.3389/fnagi.2023.1129051 article EN cc-by Frontiers in Aging Neuroscience 2023-04-06

Neuroimaging studies have revealed that patients with schizophrenia exhibit disrupted resting-state functional connectivity. However, the inconsistent findings across these hindered our comprehensive understanding of connectivity changes associated schizophrenia, and molecular mechanisms alterations remain largely unclear. A quantitative meta-analysis was first conducted on 21 datasets, involving 1057 1186 healthy controls, to examine in as measured by whole-brain voxel-wise network...

10.1038/s41537-023-00422-4 article EN cc-by Schizophrenia 2023-12-16

Abstract Aims Previous studies have indicated that smoking is linked to an increased risk of developing schizophrenia, and individuals with schizophrenia are more prone engaging in antisocial behavior. However, the causal effects behaviors on behavior potential mediating role remains largely unclear. Methods In present study, using summary data from genome wide association phenotypes ( N = 323,386–805,431), Ncases 53,386, Ncontrols 77,258), 85,359), we assessed bidirectional causality...

10.1111/cns.14430 article EN cc-by CNS Neuroscience & Therapeutics 2023-08-31
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