Publications by authors named "Yu-Qi Cheng"
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.
View Article and Find Full Text PDFConjugated microporous polymers (CMPs) have unique characteristics and have been used in a range of fascinating applications in separation sciences. In this study, a CMP, designated as CMP-1, was synthesized via the Sonogashira-Hagihara coupling reaction using 1,3,5-triphenylbenzene and 1,4-dibromobenzene as building blocks. CMP-1 features a large surface area, abundant micropore structures, and excellent stability, making it a promising solid-phase extraction adsorbent for the efficient enrichment of neonicotinoid insecticides (NEOs).
View Article and Find Full Text PDFBackground: Ulcerative colitis is a chronic inflammatory disease of the colon with an unknown etiology. Alkaline sphingomyelinase (alk-SMase) is specifically expressed by intestinal epithelial cells, and has been reported to play an anti-inflammatory role. However, the underlying mechanism is still unclear.
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- * Advancements in neuroimaging technologies allow for objective detection of brain damage due to alcohol, aiding in the diagnosis and treatment of AUD.
- * The article reviews key noninvasive imaging methods, like MRI and EEG, along with brain stimulation techniques, while suggesting future research avenues in understanding alcohol dependence.
To explore the relationship between cognitive function and blood-brain barrier leakage in non-brain metastasis lung cancer and healthy controls. 75 lung cancers without brain metastasis and 29 healthy controls matched with age, sex, and education were evaluated by cognitive assessment, and the Patlak pharmacokinetic model was used to calculate the average leakage in each brain region according to the automated anatomical labeling atlas. After that, the relationships between cognitive and blood-brain barrier leakage were evaluated.
View Article and Find Full Text PDFPurpose: To explore the relationship between blood-brain barrier (BBB) leakage and brain structure in non-brain metastasis lung cancer (LC) by magnetic resonance imaging (MRI) as well as to indicate the possibility of brain metastasis (BM) occurrence.
Patients And Methods: MRI were performed in 75 LC patients and 29 counterpart healthy peoples (HCs). We used the Patlak pharmacokinetic model to calculate the average leakage in each brain region according to the automated anatomical labeling (AAL) atlas.
Article Synopsis
- 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.
Article Synopsis
- 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.
Article Synopsis
- 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.
Circular RNAs (circRNAs) are a new and large group of non-coding RNA molecules that are abundantly expressed in the central nervous system. However, very little is known about their roles in traumatic brain injury. In this study, we firstly screened differentially expressed circRNAs in normal and injured brain tissues of mice after traumatic brain injury.
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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.
Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project.
Prog Neuropsychopharmacol Biol Psychiatry
December 2021
Article Synopsis
- 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
Article Synopsis
- 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.
Article Synopsis
- 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.
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.
View Article and Find Full Text PDFIntroduction: Mindfulness-based cognitive therapy (MBCT) may be effective for generalized anxiety disorder (GAD); however, the neural mechanism is poorly understood. In this study, we examined the potential neural mechanisms through which MBCT may reduce anxiety in patients with mild-to-moderate GAD.
Methods: Eight weekly group MBCT sessions (2 h each) were conducted with 32 GAD patients.
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.
Structural brain abnormalities have been widely reported in major depressive disorder (MDD). However, many previous results cannot exclude the interferences of medication or multiple recurrent episodes. In this study, we examined structural brain abnormalities by comparing 68 drug-naïve first-episode adult-onset MDD and 68 healthy controls (HCs).
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