John A. Detre

The PMADS Project tracks neurobiological and clinical changes in high-risk individuals across the perinatal period to identify biomarkers linking brain plasticity to PMADs risk.

The paper examines subcortical and limbic volume associations with cortical thinning and neurodegenerative pathologies in postmortem brain MRI data from multiple disease groups.

MR KLEAN improves MRI image quality by denoising k-space data without relying on specific acquisition or reconstruction methods.

The paper introduces an open data resource combining neuroimaging and behavioral measures to study mood and sleep in adolescents and young adults.

The paper characterizes hippocampal subfield border variability using postmortem MRI and histology, finding consistent subfield appearance/disappearance orders and no clear diagnosis-related differences.

This paper develops a multi-modality MRI segmentation model to improve robustness of medial temporal lobe subregion segmentation in poor-quality images.

This study examines changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced unconsciousness and recovery, finding widespread connectivity decreases and cerebellum-specific increases in structure-function coupling.

The paper develops a segmentation protocol for anterior medial temporal lobe regions and integrates it into an automated approach to improve imaging biomarkers for neurodegenerative diseases.

The paper identifies a spatiotemporal pattern of cerebral blood flow in infants that correlates with cortical specialization and developmental functioning.

This study develops a ME-EPI protocol for olfactory task-based fMRI, showing improved BOLD sensitivity over 1E-EPI through signal combination and artifact reduction.

This study investigates infant cerebral blood flow dynamics and their role in the emergence of functional networks like the default-mode network using multi-modal MRI.

The paper uses network theory to predict compression levels in neural circuits and finds differences in dimensionality and representational capacity across brain regions and behaviors.

The paper introduces CLEAN-R, a method to test and localize intermodal correspondence in neuroimaging data, demonstrating high statistical power and nominal type I error levels.

This paper introduces a method to analyze intermodal coupling between multiple brain imaging modalities and applies it to study neurodevelopmental patterns in adolescents.

This study examines how cerebral blood flow and fMRI fluctuations are coupled in youth, finding age-related decreases, sex differences, and links to executive function.

The paper develops a theory of efficient coding in brain networks and shows that structural connectivity balances information fidelity and compression, predicting behavior and explaining biological organization.

FlywheelTools provides software for reproducible data curation and manipulation on the Flywheel platform, addressing challenges in converting neuroimaging data to BIDS format.

This study uses joint ex vivo MRI and histology to identify distinct iron-rich gliosis patterns in FTLD-Tau and FTLD-TDP, distinguishing them from other neurodegenerative conditions.

This paper describes an MRI protocol for evaluating the brain anatomy and function of California sea lions, focusing on developmental effects of domoic acid exposure.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

The study replicates and extends the Parieto-Frontal Integration Theory (PFIT) in youths, showing age-related strengthening of brain parameter-cognitive performance associations and suggesting an expanded network incorporating motivation and affect regions.

The paper uses a virtual lesion approach to simulate the disconnectome caused by progressive ischemic periventricular white matter lesions and validates it using DTI and fMRI data from elderly subjects.

The paper investigates the relationship between global cerebral blood flow and processing speed in older adults, finding that preserved global CBF correlates with youthful processing speed.

This study identifies differences in cyclooxygenase pathway activation and inflammatory biomarker levels as factors associated with variability in ibuprofen analgesic response following third-molar extraction.