neuroimaging

IntroductionThe clinical translation of magnetic stimulation for central nervous system trauma is severely hindered by “parameter ambiguity”—the lack of evidence-based screen of stimulation protocol. Repetitive trans-spinal magnetic stimulation (rTSMS) holds therapeutic promise, yet its frequency-dependent effects on the complex spinal microenvironment remain poorly understood. To address this ga…

IntroductionUnderstanding how neurotransmitter systems organize into large-scale networks is essential for elucidating the mechanisms through which drugs, diseases, and behavioral states alter brain function. Existing imaging modalities such as functional MRI (fMRI) and positron emission tomography (PET) provide measures of hemodynamic and metabolic connectivity, but cannot noninvasively map neur…

IntroductionDysfunction in brain protein clearance mechanisms is thought to contribute to many neurodegenerative diseases, yet non-invasive assessment of these mechanisms in humans remains challenging. This study is the first to examine whether intravoxel incoherent motion (IVIM) diffusion MRI metrics, measures of water diffusion and fluid dynamics, are associated with pathological protein accumu…

Researchers developed a machine learning algorithm that is optimizing focused ultrasound-mediated blood-brain barrier opening procedures.

IntroductionAutism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by abnormal brain connections, impaired cognitive functions, and dysfunctional behaviors, which, in mental health, is a major challenge to diagnose at an early age. Recent developments in Artificial Intelligence (AI) and computational neuroscience have made it possible to use neuroanalytic methods to identi…

Scientific Reports, Published online: 16 June 2026; doi:10.1038/s41598-026-57069-1 Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia

Nature Neuroscience, Published online: 15 June 2026; doi:10.1038/s41593-026-02355-4 The 2026 closure of the Strait of Hormuz exposed a structural dependency that the neuroimaging community has rarely discussed openly.

A new study from scientists at the University of Rochester Medicine suggests that reinforcing the body's natural daily rhythms to improve sleep could help the brain recover after a stroke, pointing to a potential new strategy to improve brain waste clearance and outcomes long after the initial injury.

Nature, Published online: 15 June 2026; doi:10.1038/d41586-026-01863-4 The device has helped a man with motor neuron disease communicate and control his computer for nearly two years.

New research finds that high psychopathic personality traits are associated with a thinner outer layer of the brain in specific regions. This structural brain pattern was identical in men convicted of domestic violence and non-violent men.

The foreign body reaction to implanted electrodes in the brain has long been recognized as a major challenge impacting the performance and reliability of indwelling neurotechnologies. Spatially resolved transcriptomic approaches have enabled high-resolution mapping of cellular and molecular dynamics at the device-tissue interface, yielding novel insight into both acute and chronic tissue response…

IntroductionCortical and subcortical alterations in brain intrinsic function have been widely reported in Parkinson’s disease (PD). However, sex differences in brain intrinsic function in PD are poorly understood. This study aimed to examine sex differences in spontaneous brain intrinsic function in PD and their associations with neuropsychological measurements.MethodsUsing Parkinson’s Progressio…

Nature Medicine, Published online: 15 June 2026; doi:10.1038/s41591-026-04432-4 Neural decoding algorithms that leverage physiological principles of locomotor encoding support activity-dependent deep brain stimulation therapies that improve locomotor deficits in people with Parkinson’s disease.

Nature Medicine, Published online: 15 June 2026; doi:10.1038/s41591-026-04434-2 A randomized crossover study shows that gait-phase-synchronized adaptive deep brain stimulation is feasible and safe, and reduces falls compared to continuous stimulation in Parkinson’s disease.

UC San Francisco researchers have developed a new form of deep brain stimulation (DBS) that adjusts in real time as a person walks, helping improve gait and reduce falls in people with Parkinson's disease. The study demonstrates for the first time that an implanted brain stimulator can detect neural signals associated with each step and automatically adjust stimulation within fractions of a secon…

Scientific Reports, Published online: 15 June 2026; doi:10.1038/s41598-026-57930-3 Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network

Conflict adaptation refers to the adjustment of cognitive control to reduce interference on subsequent trials. Its neural mechanisms are often studied by assessing the congruence sequence effect (CSE) in face–word Stroop tasks during neuroimaging. The present behavioral study aimed to address two key methodological issues when aiming to translate standard response conflict tasks into fMRI setting…