Ivan I. Maximov

This study shows that a single ECT session causes transient, reversible brain microstructural changes resembling vasogenic edema, which may precede neuroplasticity and therapeutic effects.

This study shows brain age metrics from MRI do not reliably predict future brain changes but highlight modality-specific differences as potential cross-sectional markers.

The paper examines how white matter microstructure, assessed via diffusion MRI, correlates with age, BMI, blood pressure, and genetic factors across different life stages.

The paper shows that shuffling FreeSurfer data across versions improves brain age prediction performance and generalizability.

The paper evaluates age-related changes in brain asymmetry using MRI data from 48,040 UK Biobank participants and introduces hemispheric brain age as a marker of asymmetry.

This paper evaluates brain age predictions across repeated time points and finds small within-subject correlations, field strength influence, and model biases.

This study shows that free-water volume fraction in white matter increases non-linearly with age, particularly after 60, with region-specific variations and reduced variability when using FW-compensated MR signals.

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

This paper develops a new human cortical parcellation atlas based on primate anatomical tracing studies and validates it using diffusion tractography to identify corticostriatal subcircuits.

This study shows that 32 hours of sleep deprivation increases the T1w/T2w ratio in specific cortical regions compared to a normal sleep-wake cycle.

The paper introduces YTTRIUM, a QC method for diffusion MRI data, showing it improves brain age prediction accuracy in UK Biobank data.

The paper links the number of previous childbirths to white matter brain age in midlife and older women using UK Biobank data.

This study uses mixed models and advanced diffusion imaging to show that sleep deprivation and normal sleep-wake cycles differentially affect white matter microstructure.

This study uses advanced diffusion models and brain-age prediction to analyze white matter microstructure changes across adult lifespan, finding that advanced models provide sensitive measures of age-related changes.

This study examines how sex-hormone exposure, pregnancies, and genetic risk for Alzheimer's disease influence brain aging in women using UK Biobank data.

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

The paper evaluates axon density metrics for brain asymmetry in UK Biobank data, finding that intra-axonal water fraction from spherical mean technique is the most statistically representative measure.

The paper evaluates different diffusion MRI processing steps in UK Biobank data to suggest an optimised pipeline that improves reliability and reduces variability in diffusion metrics and their age associations.