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Biophysical models of diffusion in white matter have been center-stage over the past two decades and are essentially based on what is now commonly referred to as the "Standard Model" (SM) of non-exchanging anisotropic compartments with Gaussian diffusion. In this work, we focus on diffusion MRI in gray matter, which requires rethinking basic microstructure modeling blocks. In particular, at least three contributions beyond the SM need to be considered for gray matter: water exchange across the cell membrane - between neurites and the extracellular space; non-Gaussian diffusion along neuronal and glial processes - resulting from structural disorder; and signal contribution from soma. For the first contribution, we propose Neurite Exchange Imaging (NEXI) as an extension of the SM of diffusion, which builds on the anisotropic Kärger model of two exchanging compartments. Using datasets acquired at multiple diffusion weightings (b) and diffusion times (t) in the rat brain in vivo, we investigate the suitability of NEXI to describe the diffusion signal in the gray matter, compared to the other two possible contributions. Our results for the diffusion time window 20-45 ms show minimal diffusivity time-dependence and more pronounced kurtosis decay with time, which is well fit by the exchange model. Moreover, we observe lower signal for longer diffusion times at high b. In light of these observations, we identify exchange as the mechanism that best explains these signal signatures in both low-b and high-b regime, and thereby propose NEXI as the minimal model for gray matter microstructure mapping. We finally highlight multi-b multi-t acquisition protocols as being best suited to estimate NEXI model parameters reliably. Using this approach, we estimate the inter-compartment water exchange time to be 15 - 60 ms in the rat cortex and hippocampus in vivo, which is of the same order or shorter than the diffusion time in typical diffusion MRI acquisitions. This suggests water exchange as an essential component for interpreting diffusion MRI measurements in gray matter.
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http://dx.doi.org/10.1016/j.neuroimage.2022.119277 | DOI Listing |
J Neurotrauma
September 2025
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Mean apparent propagator MRI (MAP-MRI) quantifies subtle alterations in tissue microstructure noninvasively and provides a more nuanced and comprehensive assessment of tissue architectural and structural integrity compared with other diffusion MRI techniques. We investigate the sensitivity of MAP-MRI-derived quantitative imaging biomarkers to detect previously unseen microstructural damage in patients with mild traumatic brain injuries (mTBI), whose clinical scans otherwise appeared normal. We developed and validated an MAP-MRI data processing pipeline for analyzing diffusion-weighted images for use in healthy controls and mTBI patients whose longitudinal scans were obtained from the GE/NFL/mTBI MRI database.
View Article and Find Full Text PDFProg Neuropsychopharmacol Biol Psychiatry
September 2025
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, PR China. Electronic address:
Background: Sexual dimorphism in human brain has garnered significant attention in neuroscience research. Although multiple investigations have examined sexual dimorphism in gray matter (GM) functional connectivity (FC), the research of white matter (WM) FC remains relatively limited.
Methods: Utilizing resting-state fMRI data from 569 healthy young adults, we investigated sexual dimorphism in the WM functional connectome.
Biol Psychiatry Cogn Neurosci Neuroimaging
September 2025
Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland.
Background: Recent epidemiological evidence links early-life obesity and metabolic dysregulation to adult psychosis vulnerability, though a causal relationship remains unclear. Establishing causality in highly heritable psychotic disorders requires: 1) demonstrating that early-life metabolic factors mediate between genetic vulnerability and psychosis trajectory, 2) dissecting mechanisms leading to early-life obesity in genetically vulnerable individuals, and 3) clarifying downstream neurodevelopmental pathways linking early-life obesity to psychosis symptoms.
Methods: Here we investigated bidirectional pathways linking behavioral, BMI, and neurodevelopment trajectories in a unique longitudinal cohort of 184 individuals at high genetic risk for psychosis, due to 22q11.
Phys Rev Lett
August 2025
University of Tokyo, Center for Nuclear Study, Wako, Saitama 351-0198, Japan.
The 247-keV state in ^{54}Sc, populated in the β decay of ^{54}Ca, is reported here as a nanosecond isomer with a half-life of 26.0(22) ns. The state is interpreted as the 1^{+} member of the πf_{7/2}⊗νf_{5/2} spin-coupled multiplet, which decays to the 3^{+},πf_{7/2}⊗νp_{1/2} ground state.
View Article and Find Full Text PDFCharged hadron elliptic anisotropies (v_{2}) are presented over a wide transverse momentum (p_{T}) range for proton-lead (pPb) and lead-lead (PbPb) collisions at nucleon-nucleon center-of-mass energies of 8.16 and 5.02 TeV, respectively.
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