Jianfeng Feng

KDRD estimates replicability of associations using summary statistics from a single study, showing moderate to high replicability for 33 of 45 brain-related traits in proteomics analyses.

The paper introduces MAPS, a platform for unifying physical and molecular coordinates across modalities in spatial biology, demonstrating its effectiveness on diverse datasets and applications.

The paper assesses the replicability of plasma proteomics associations with phenotypes using UK Biobank data, finding high replicability for cognitive and mental health traits and developing a framework to predict replicability in future panels.

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

This paper introduces a decoder that translates single-trial non-invasive fMRI recordings into continuous text, outperforming existing methods in cross-subject settings.

The paper examines structural asymmetry abnormalities in young children with autism and developmental delay/intellectual disability using normative models and finds group-specific patterns linked to gene expression and behavioral outcomes.

This study uses fMRI to examine dynamic brain lateralization during Chinese language processing and finds sex-related differences influenced by sex hormones.

This paper introduces DeCoP, a novel decoding method that separates reward processing into evaluation and salience components, showing improved performance over traditional methods.

This study examines white matter development in children with autism, developmental delay/intellectual disorder, and typical development, identifying delayed growth patterns and their clinical associations.

This study identifies a causal link between BMI and reduced grey matter volume, finds accelerated brain aging in obesity, and links it to gene expression changes in autophagy pathways.

This paper presents an optimized awake mouse fMRI paradigm that reduces stress and motion artifacts, improving functional connectivity detection.

This study links avalanche criticality in brain networks to cognitive performance, finding that higher fluid intelligence and working memory correlate with neural dynamics closer to criticality.

This study identifies altered functional connectivity in ADHD adults using resting-state fMRI, linking these changes to genetic risk factors and treatment response.

The paper investigates neural mechanisms for word reading in bilinguals, finding divergent anatomical distributions but convergent cognitive processing across writing systems.

The paper maps dynamic brain lateralization patterns using resting-state fMRI data, revealing associations with cognitive functions and heritability.

The paper identifies 11,285 genetically interpretable comorbidities among 439 diseases using UK Biobank data, showing shared genetic components and hub diseases involved in comorbidity networks.

This study identifies age-specific gene signatures in the human cerebral cortex using TCA, linking them to structural features and neuropsychiatric disorders.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper identifies genes associated with dynamic brain network changes and links them to neuroplasticity processes, showing that temporal variability predicts cognitive outcomes.

This study examines structural connectivity diversity in schizophrenia using DTI, finding reduced topographic diversity in patients compared to controls, suggesting a common pathway underlying the disease's heterogeneity.

This paper develops a statistical framework for connexel-wise analysis in brain-wide association studies, improving power and reducing false positives using spatial information from fMRI data.

This paper introduces sKPCR, a method for identifying voxel-phenotype associations in dense connectomes, showing better reproducibility and overlap with existing schizophrenia findings.