David E.J. Linden

This study uses electronic health records to analyze the neuropsychiatric phenotype of 22q11.2 deletion syndrome at scale, revealing high prevalence of neurodevelopmental and psychiatric disorders.

This paper introduces a subject-level searchlight optimization framework combining univariate and multivariate analyses to identify condition-sensitive voxels for emotional state decoding in fMRI.

The paper examines how gene dosage, polygenic background, and environment influence complex traits like height and BMI using large-scale data from multiple cohorts.

This study explores using real-time representational similarity analysis in fMRI neurofeedback to navigate emotional states, showing feasibility and improved performance with repeated sessions.

The paper examines the associations of APOE ε2/ε4 dosage and lifestyle on neuroimaging markers in the UK Biobank, finding no significant interaction between lifestyle and APOE dosage.

The paper investigates how altered sensory feedback processing and attention control relate to hallucination proneness by manipulating self-voice quality and measuring neural responses.

This study identifies classification inaccuracies in fMRI-based attention state decoding due to design choices and confounders like motion artifacts and task timing.

The paper investigates how hallucination proneness affects attentional control and sensory feedback processing of positive self-voice using EEG, finding no significant modulation by HP.

The paper investigates how hallucination proneness affects sensory feedback processing during self-voice production using EEG, finding altered N1 and N2 responses related to emotional voice quality and attention.

This study uses hidden semi-Markov modeling to analyze resting state EEG data and investigates the reproducibility of brain state dynamics and their association with hallucinatory vulnerability across different datasets.

The paper investigates how rare genetic mutations affect brain asymmetry by analyzing CNVs in a cohort of individuals and linking genetic alterations to brain structure and function.

This study shows that CYFIP1 regulates cortical neurogenesis through oxysterol-liver X receptor signaling, with implications for genetic disorders linked to 15q11.2 CNVs.

This study shows that a single session of fNIRS-informed neurofeedback training increases left DLPFC activity and alters connectivity during a working memory task without feedback.

This study examines subcortical brain alterations in CNV carriers across multiple neuropsychiatric disorders, finding shared and distinct patterns of structural changes.

The paper uses EEG resting state alpha dynamics to predict individual proneness to auditory hallucinations by analyzing brain state occupancy and duration.

This study investigates age-related changes in dynamic functional connectivity across two cultures, finding consistent patterns of reduced segregated connectivity and increased network transitions in older adults.

The paper investigates how eight rare CNVs affect brain structure and phenotypes across 534 carriers, finding structural divergence and phenotypic convergence despite different genetic origins.

This study identifies common molecular pathways associated with schizophrenia risk in copy number variation syndromes by analyzing gene interactions and pathways from multiple databases.

This study identifies 856 genetic loci associated with sulcal depth through a genome-wide association study using UK Biobank data, showing higher heritability and locus yield compared to cortical thickness and surface area.

This study identifies genetic overlap between Alzheimer's disease and depression using GWAS data and biostatistical tools, finding shared variants and brain morphology associations.

This study investigates the effects of 1q21.1 deletion and duplication on neuronal development using induced pluripotent stem cells and shows reciprocal phenotypes and potential therapeutic targets.

The paper examines how rare and common genomic variants affect brain functional connectivity, revealing how polygenicity and pleiotropy influence psychiatric conditions and brain networks.

This study compares manual and automated quality control strategies for brain MRI segmentation, finding that Euler numbers and MRIQC provide reliable and efficient methods to reduce measurement error.

Neuropsychiatric CNVs reorganize brain connectivity along shared patterns linked to cognitive traits and disorder severity.

The paper shows that reduced EHMT1 activity decreases NRSF/REST protein, leading to abnormal neuronal gene expression and neurodevelopmental issues in human iPSCs.

The paper analyzes diffusion tensor imaging data from UK Biobank to show that 15q11.2 copy-number variation affects white matter and is associated with cognitive performance.

This study shows that Alzheimer's genetic risk reduces cerebral blood flow consistently across age groups and is linked to nearby gene expression.

This study investigates electrophysiological network changes in adults with neurodevelopmental risk copy number variants using MEG, finding decreased connectivity and network segregation differences.

The paper quantifies genetic overlap between cortical thickness and surface area using UK Biobank data, finding shared causal variants and suggesting more discoverable parcellation schemes.

The paper examines the effects of neuropsychiatric CNVs on brain structure using neuroimaging data and identifies shared anatomical patterns across multiple CNVs.