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The NIMH Healthy Research Volunteer Dataset is a collection of phenotypic data characterizing healthy research volunteers using clinical assessments such as assays of blood and urine, mental health assessments, diagnostic and dimensional measures of mental health, cognitive and neuropsychological functioning, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG). In addition, blood samples of healthy volunteers are banked for future analyses. All data collected in this protocol are broadly shared in the OpenNeuro repository, in the Brain Imaging Data Structure (BIDS) format. In addition, task paradigms and basic pre-processing scripts are shared on GitHub. There are currently few open access MEG datasets, and multimodal neuroimaging datasets are even more rare. Due to its depth of characterization of a healthy population in terms of brain health, this dataset may contribute to a wide array of secondary investigations of non-clinical and clinical research questions.
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http://dx.doi.org/10.1038/s41597-022-01623-9 | DOI Listing |
J Neurophysiol
September 2025
Max Planck Research Group Pain Perception, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Repetition suppression, the reduced neural response upon repeated presentation of a stimulus, can be explained by models focussing on bottom-up (i.e. adaptation) or top-down (i.
View Article and Find Full Text PDFCereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Background: Carotid artery stenosis is a major cause of stroke. Non-contrast MR angiography (MRA) using time-spatial labeling inversion pulse (Time-SLIP) may offer potential advantages over 3D time-of-flight (TOF)-MRA for simultaneous visualization of carotid, vertebral, and subclavian arteries, but remains uninvestigated.
Purpose: To determine optimal black blood inversion time (TI) for visualizing the carotid and subclavian arteries using three-dimensional (3D) fast field echo (FFE) Time-SLIP MRA, and to compare its image quality with 3D TOF-MRA.
Invest Ophthalmol Vis Sci
September 2025
Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States.
Purpose: To assess macular choriocapillaris (CC) metrics in healthy volunteers (HVs) without ocular disease and demonstrate CC variations in patients with inherited retinal dystrophies (IRDs) using adaptive optics optical coherence tomography angiography (AO-OCTA).
Methods: Twenty-one HVs and three IRD patients were imaged. Macular variation in 20 HVs in CC metrics (CC density, CC diameter, CC tortuosity, void diameter, void area, lobule count, lobule area, and RPE-CC distance) were assessed by imaging a 28° strip of overlapping AO-OCTA volumes (3° × 3°) from the optic nerve head to the temporal macula.
Noncoding RNA Res
December 2025
Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
Purpose: To verify the stability and reliability of circulating microRNA (miRNA) profiles in plasma and serum under different processing and storage conditions to inform future applications to circulating biomarker analyses.
Background: The development of blood-based methods for early disease detection has become increasingly desirable across various medical fields. RNA profiles have been investigated but have been a challenge due to rapid degradation of the analyte by ubiquitous RNases.