Kuaikuai Duan

This study identifies genetic maps of human sulcal complexity using rare and common variants, revealing new mechanistic pathways for cortical morphogenesis.

This paper introduces a groupwise registration framework for longitudinal infant DTI images, improving alignment accuracy through clustering and sample-specific common space alignment.

This paper uses aNy-way ICA to identify a cortico-thalamo-cerebellar circuit in schizophrenia, showing altered connectivity and cognitive impairments across multiple datasets.

The paper identifies ten genes associated with ADHD-related grey matter brain networks in a sample of 899 individuals.

The paper identifies and replicates expression and methylation modules in schizophrenia patients and healthy controls, showing their association with astrocyte and oligodendrocyte functions and genetic risk.

This paper introduces spICA to link genomic and brain imaging data, identifying a SNP and GMV association in ADHD linked to working memory deficits.

This paper introduces aNy-way ICA, a new method for multimodal data fusion that maximizes source independence and modality correlations without orthogonality constraints, outperforming existing methods in source recovery accuracy.

The paper identifies structural brain network alterations in ADHD and their association with symptoms and cognitive function using source-based morphometry in a family cohort.

This paper introduces a sparse infomax algorithm using Hoyer projection for improved pattern recovery in simulated structural MRI and SNP data, showing better sparseness and performance under low signal-to-noise ratio conditions.