John Tiernan O'Brien

The paper uses polygenic risk scores to analyze genetic contributions to neurodegenerative diseases across brain cell types, finding shared and disease-specific genetic risks.

This study uses HD-DOT to analyze resting state functional connectivity in Alzheimer's Disease, Mild Cognitive Impairment, and healthy controls, finding denser networks and loss of hubs in dementia.

This study uses broadband near-infrared spectroscopy to assess hemodynamic and metabolic responses in dementia patients, finding strong correlations between oxCCO features and clinical markers.

This study shows that vagus nerve stimulation (VNS) enhances extinction learning and reduces drug-seeking in rats by increasing BDNF and modulating TrkB receptors in the infralimbic cortex.

The paper investigates cyclophilin D (CypD) alterations in parvalbumin interneurons (PVIs) in schizophrenia, linking CypD to redox dysregulation and PVI dysfunction.

The paper shows that midlife path integration impairments predict Alzheimer's disease risk, independent of other cognitive tests.

This paper performs a large meta-analysis of GWAS in dementia with Lewy bodies, identifying sex-specific genetic risk signals and highlighting the need for larger cohorts.

The paper introduces an information decomposition framework to identify synergistic and redundant neural interactions, showing synergistic activity underlies human complex cognition and evolutionary brain expansion.

The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.

This study investigates the relationship between neuroinflammation and protein aggregation in frontotemporal dementia using PET imaging and finds a strong positive correlation between these processes.

This study examines the relationship between microglial activation and white matter changes in dementia with Lewy bodies using PET and DTI imaging.

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

This study investigates how neuroinflammation interacts with functional brain connectivity in Alzheimer's disease and its impact on cognitive performance.

This study examines dynamic functional connectivity in dementia with Lewy bodies and Alzheimer’s disease, finding reduced network efficiency variability in DLB but no significant clinical correlations.

The paper examines how modular connectivity in the brain changes with age and neurodegeneration, finding increased segregation and variability in older adults and distinct pathological patterns in neurodegenerative diseases.

The paper compares brain network efficiency in Lewy body dementia, Alzheimer’s disease, and healthy controls using EEG data, finding reduced connectivity and compensatory responses in certain frequency bands.