David J. Lythgoe

This study evaluates the test-retest reliability of spinal cord fMRI during sensorimotor tasks, finding poor-to-fair reliability despite consistent task performance and signal quality.

This study evaluates susceptibility-matched padding's impact on spinal fMRI quality, finding improved B0 field homogeneity and functional image metrics in cervical and lumbar spinal cord scans.

This study uses multimodal MRI to find altered brain perfusion and oxygen metabolism in PCS, linked to cognitive and emotional symptoms.

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

This study evaluates the reliability and correspondence of ultra-low-field MRI morphometry to high-field MRI, showing high reliability and correspondence across scan resolutions and contrasts.

This study examines how GABA and glutamine-glutamate dynamics change during tactile stimulation and their relationship to tactile perception using fMRS in healthy individuals.

This paper introduces a novel spinal fMRI method to study functional connectivity in the cervical spinal cord, finding mixed test-retest reliability but consistent spatial organization across sessions.

This study investigates the effects of acute Methylene Blue administration on cerebral blood flow and metabolism in humans and rats, finding dose-dependent reductions in CBF and metabolic rates contrary to initial hypotheses.

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

This paper conducts a systematic review and meta-analysis of fMRS studies on GABA, Glu, and Glx, finding small to moderate effect sizes for Glu and Glx but no significant effects for GABA.

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

This study investigates the association between genetic variation in glutamate and GABA genes and brain structure/chemistry in autism, finding differential involvement in specific brain regions.

This study shows that deleting Erbb4 from PV+ interneurons in mice leads to neuroimaging changes similar to those seen in psychosis patients.

This study uses longitudinal fMRI to examine cognitive control development in children with ASD or OCD and typically developing children, finding similar cognitive control development despite some neural differences in OCD.

The paper models fMRI noise volatility using financial mathematics methods, finding it to be highly irregular with Hurst parameter H < 0.5.

This paper evaluates rapid processing of multicontrast EPImix scans and shows that quantitative neuroimaging data can be obtained within minutes, enabling adaptive imaging protocols.

The paper examines longitudinal changes in fronto-striatal glutamate and its relationship with inhibitory control functioning in ASD and OCD across a one-year period.

This study shows that both daily and intermittent smoking reduce glutamate and other metabolite concentrations and gray matter volume in the prefrontal cortex, with no difference between smoking types.

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

The paper examines how reactive and proactive aggression subtypes relate to distinct resting state functional connectivity patterns in children and adolescents with disruptive behavior.

The paper examines functional connectivity differences in children and adolescents with disruptive behavior, finding distinct patterns for reactive and proactive aggression and callous-unemotional traits, emphasizing the role of comorbid symptoms.