Publications by authors named "Jilian Fu"

Socioeconomic status (SES) is a time-varying multidimensional construct with ill-defined dimension-specific and age-specific effects on brain and behavior. We investigated these effects in 4,228 young adults. From 16 socioeconomic indicators, assessed for early (0-10 years) and late (>10 years) stages, we constructed family, provincial, family adverse and neighborhood adverse socioeconomic dimensions.

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Background: National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.

Methods: In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions.

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Article Synopsis
  • Scientists studied a gene called TESC, which they found might be important for brain health, especially in the hippocampus, a part of the brain linked to memory.
  • They conducted experiments on human cells and mice to see how TESC affects brain structure and function, especially in relation to Alzheimer's disease.
  • The results showed that increasing TESC helped protect brain cells and improve memory, suggesting it could be a good target for future treatments for Alzheimer’s.
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Background And Hypothesis: The gut-brain axis plays important roles in both gastrointestinal diseases (GI diseases) and schizophrenia (SCZ). Moreover, both GI diseases and SCZ exhibit notable abnormalities in brain subcortical volumes. However, the genetic mechanisms underlying the comorbidity of these diseases and the shared alterations in brain subcortical volumes remain unclear.

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Article Synopsis
  • Genome-wide association studies of brain imaging traits have mostly focused on European populations, leaving other groups, like the Chinese, underrepresented.
  • This study analyzed brain imaging phenotypes in 7,058 Chinese Han participants and 33,224 white British participants, identifying 38 new associations in Chinese analyses and 486 in cross-ancestry meta-analyses.
  • The research revealed 6,443 significant genetic associations with variations in distribution across the genome, some overlapping with other brain-related traits, enhancing our understanding of genetic factors in diverse populations.
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Article Synopsis
  • * It includes a genome-wide association study with 4,832 Chinese Han participants, revealing a heritability estimate of 16.2-23.9% and significant genetic associations related to Alzheimer's disease.
  • * The research identifies pathways involved in neurovascular function, emphasizing the role of specific genes and cellular processes that affect how brain blood flow is regulated.
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Exposure to preadult environmental exposures may have long-lasting effects on mental health by affecting the maturation of the brain and personality, two traits that interact throughout the developmental process. However, environment-brain-personality covariation patterns and their mediation relationships remain unclear. In 4297 healthy participants (aged 18-30 years), we combined sparse multiple canonical correlation analysis with independent component analysis to identify the three-way covariation patterns of 59 preadult environmental exposures, 760 adult brain imaging phenotypes, and five personality traits, and found two robust environment-brain-personality covariation models with sex specificity.

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The hippocampus is critical for memory and cognition and neuropsychiatric disorders, and its subfields differ in architecture and function. Genome-wide association studies on hippocampal and subfield volumes are mainly conducted in European populations; however, other ancestral populations are under-represented. Here we conduct cross-ancestry genome-wide association meta-analyses in 65,791 individuals for hippocampal volume and 38,977 for subfield volumes, including 7,009 individuals of East Asian ancestry.

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

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Background: Urbanicity refers to the conditions that are particular to urban areas and is a growing environmental challenge that may affect hippocampus and neurocognition. This study aimed to investigate the effects of the average pre-adulthood urbanicity on hippocampal subfield volumes and neurocognitive abilities as well as the sensitive age windows of the urbanicity effects.

Participants And Methods: We included 5,390 CHIMGEN participants (3,538 females; age: 23.

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Individualized cortical network topography (ICNT) varies between people and exhibits great variability in the association networks in the human brain. However, these findings were mainly discovered in Western populations. It remains unclear whether and how ICNT is shaped by the non-Western populations.

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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 of the underlying pathophysiological mechanisms of schizophrenia. Here, we performed an updated and extended meta-analysis to identify the most consistent changes of local functional connectivity measured by regional homogeneity (ReHo) in schizophrenia.

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Schizophrenia (SCZ) is an idiopathic psychiatric disorder with a heritable component and a substantial public health impact. Although abnormalities in total brain volumetric measures (TBVMs) have been found in patients with SCZ, it is still unknown whether these abnormalities have a causal effect on the risk of SCZ. Here, we performed a Mendelian randomization (MR) study to investigate the possible causal associations between each TBVM and SCZ risk.

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Aims: We aimed to investigate the effect of the type 2 diabetes-specific insulin/IGF signaling genetic variants on the hippocampal volume and their relationships with episodic memory in Chinese patients with type 2 diabetes.

Methods: Analysis of variance was used to evaluate the genotype-by-diagnosis interaction effect on hippocampal volume in Chinese participants (109 patients with type 2 diabetes, 116 healthy controls). Mediation analysis was performed to test whether the hippocampal volume would mediate the association between genotype and episodic memory in patients with type 2 diabetes.

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Working memory is a basic human cognitive function. However, the genetic signatures and their biological pathway remain poorly understood. In the present study, we tried to clarify this issue by exploring the potential associations and pathways among genetic variants, brain morphometry and working memory performance.

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Article Synopsis
  • The study investigates the relationship between specific genes in the granular layer of the prefrontal cortex (PFC) and schizophrenia, using gene expression data from postmortem human brains.
  • Researchers identified 14 candidate genes that show increased expression in various prefrontal regions and are linked to synaptic function and cell development.
  • These genes are significantly associated with schizophrenia, and their expression levels correlate with gray matter volume differences in the PFC between schizophrenia patients and healthy individuals.
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Numerous studies report abnormal cerebral cortex volume (CCV) in autism spectrum disorder (ASD); however, genes related to CCV abnormalities in ASD remain largely unknown. Here, we identify genes associated with CCV alterations in ASD by performing spatial correlations between the gene expression of 6 donated brains and neuroimaging data from 1,404 ASD patients and 1,499 controls. Based on spatial correlations between gene expression and CCV differences from two independent meta-analyses and between gene expression and individual CCV distributions of 404 patients and 496 controls, we identify 417 genes associated with both CCV differences and individual CCV distributions.

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The human cerebral cortex is the source of many complex behaviors and is a vulnerable target of various neuropsychiatric disorders, but transcriptional profiles linked to cerebral cortical volume (CCV) differences across brain areas remain unknown. Here, we screened CCV-related genes using an across-sample spatial correlation analysis in 6 postmortem brains and then individually validated these correlations in 1091 subjects with different ages and ethnicities. We identified 62 genes whose transcriptional profiles were repeatedly associated with CCV in more than 90% of individuals.

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In Chinese Han population, Catechol-O-methyltransferase gene ( rs4633 is found to be associated with impaired cognitive process. We aimed to investigate the association between rs4633 and verbal intelligence and the underlying neural mechanisms in Chinese Han healthy young adults. In 256 Chinese Han healthy young adults, we explored the modulatory effects of rs4633 on verbal intelligence quotient (VIQ) and functional connectivity density (FCD) of the brain and the mediation effect of FCD on the association between and VIQ.

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