
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Авг. 20, 2024
Язык: Английский
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Авг. 20, 2024
Язык: Английский
Journal of Neurology, Год журнала: 2025, Номер 272(2)
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
1European Journal of Radiology, Год журнала: 2025, Номер 184, С. 111981 - 111981
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
0Nature Communications, Год журнала: 2025, Номер 16(1)
Опубликована: Апрель 7, 2025
Язык: Английский
Процитировано
0NeuroImage, Год журнала: 2025, Номер unknown, С. 121258 - 121258
Опубликована: Май 1, 2025
In recent years, mapping tissue microstructure in the cortex using high gradient diffusion MRI has received growing attention. The Soma And Neurite Density Imaging (SANDI) explicitly models soma compartment assuming impermeable membranes. As such, it does not account for time dependence due to water exchange estimated microstructural properties, as neurites gray matter are much less myelinated than white matter. this work, we performed a systematic evaluation of an extended SANDI model vivo human cortical that accounts effects between neurite and extracellular compartments anisotropic Kärger model. We refer SANDIX, adapting nomenclature from previous publications. original model, is modeled sphere smaller surface-to-volume ratio compared compartment. A Monte Carlo simulation study was examine sensitivity SANDIX radii, fractions, times. results indicate proposed framework can effect provide measures intra-soma intra-neurite signal fractions without spurious time-dependence parameters, whereas measured times need be interpreted with caution. then applied data acquired 13 healthy adults on 3-Tesla Connectome scanner equipped 300 mT/m gradients. exhibited patterns were consistent corresponding anatomical characteristics both particular, distinct differentiated two types. Our show approach high-gradient achieves brain effects. This potentially provides more appropriate description improving interpretation future neurobiological studies.
Язык: Английский
Процитировано
0Current Opinion in Neurology, Год журнала: 2025, Номер unknown
Опубликована: Май 16, 2025
Purpose of review To summarize recent advancements in artificial intelligence-driven lesion segmentation and novel neuroimaging modalities that enhance the identification characterization multiple sclerosis (MS) lesions, emphasizing their implications for clinical use research. Recent findings Artificial intelligence, particularly deep learning approaches, are revolutionizing MS assessment segmentation, improving accuracy, reproducibility, efficiency. intelligence-based tools now enable automated detection not only T2-hyperintense white matter but also specific subtypes, including gadolinium-enhancing, central vein sign-positive, paramagnetic rim, cortical, spinal cord which hold diagnostic prognostic value. Novel techniques such as quantitative susceptibility mapping (QSM), χ-separation imaging, soma neurite density imaging (SANDI), together with PET, providing deeper insights into pathology, better disentangling heterogeneities relevance. Summary intelligence-powered great potential fast, accurate reproducible lesional scenario, thus diagnosis, monitoring, treatment response assessment. Emerging may contribute to advance understanding pathophysiology, provide more markers disease progression, therapeutic targets.
Язык: Английский
Процитировано
0Annals of Clinical and Translational Neurology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 13, 2024
Abstract Objective To quantify alterations in soma and neurite density imaging measures within surrounding cortical lesions people with multiple sclerosis using vivo high‐gradient diffusion MRI. Methods In this cross‐sectional study, 41 34 age‐ sex‐matched healthy controls underwent 3 T Cortical were segmented on artificial intelligence‐enabled double inversion recovery images. “Inner” “outer” perilesional layers as two expanding shells of 2 mm a lesion. Intracellular, intra‐neurite, extracellular signal fractions apparent radius estimated (peri)lesional normal‐appearing cortex. Results present all median count 8 [IQR 5–18] total volume 0.16 [0.09–0.46 mL]. People (mean 0.27 ± 0.03) showed lower normalized volumes compared to (0.30 0.02). Compared 0.58 0.028), cortex (0.57 0.034) intra‐cellular fraction. (0.49 0.089) exhibited (“inner”: 0.55 0.049, “outer”: 0.039) cortex, demonstrating gradation change. The varied significantly across cortices, becoming smaller when moving outward from (cortical lesions: 10.38 0.209 μm, “inner” layer: 10.19 0.140 10.07 0.149 cortex: 9.99 0.127 μm). Interpretation cell body loss is most pronounced also Gradients microstructural toward highlight the potential MRI identify both focal diffuse pathology.
Язык: Английский
Процитировано
2bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Июль 30, 2024
Abstract Neuroanatomical changes to the cortex during adolescence have been well documented using MRI, revealing ongoing cortical thinning and volume loss with age. However, underlying cellular mechanisms remain elusive conventional neuroimaging. Recent advances in MRI hardware new biophysical models of tissue informed by diffusion data hold promise for identifying driving these morphological observations. This study used ultra-strong gradient obtain high-resolution, vivo estimates neurite soma microstructure sample typically developing children adolescents. Cortical signal fraction, attributed neuronal glial processes, increased age (mean R 2 fneurite =.53, p<3.3e-11, 11.91% increase over age), while apparent radius decreased Rsoma =.48, p<4.4e-10, 1% decrease age) across domain-specific networks. To complement findings, developmental patterns gene expression two independent post-mortem databases were analysed. revealed genes expressed oligodendrocytes, excitatory neurons, alongside a relative astrocyte, microglia endothelial cell-types. Age-related significantly enriched oligodendrocyte progenitors Layer 5-6 neurons (p FDR <.001) prominently young adulthood. The spatial temporal alignment cell-type microstructural suggest that myelination processes contribute adolescent development. These findings highlight role intra-cortical maturation into
Язык: Английский
Процитировано
1Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Авг. 20, 2024
Язык: Английский
Процитировано
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