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This study explored associations between macular retinal nerve fiber layer (RNFL) thickness, brain volume, and cortical thickness in older adults. A total of 166 community-dwelling participants over 65 years old (mean 75.2 ± 5.3; 61.4% women) without dementia or ocular pathologies underwent 3D T1 MRI and macular RNFL thickness measurements using spectral-domain optical coherence tomography. Voxel-based morphometry, adjusting for age, sex, and total intracranial volume (uncorrected p < 0.001, cluster size threshold ≥ 100 voxels), showed uncorrected correlations between outer RNFL thickness and gray matter volume in the right inferior parietal (t = 3.81), left superior frontal (t = 3.71), and left inferior temporal (t = 3.95) cortices, with total RNFL thickness linked to the right inferior parietal cortex (t = 3.62). Pearson's correlation, adjusted for age and sex, showed RNFL thickness was weakly associated with cortical thickness in regions including the left posterior cingulate and supramarginal areas. All observed associations lost statistical significance after multiple comparisons. These preliminary findings suggest that macular RNFL thickness may be related to structural changes in brain regions involved in sensory processing and cognitive functions, but the statistical evidence was limited. Further longitudinal research is needed to assess its potential as a non-invasive biomarker for neurodegenerative processes.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12394598 | PMC |
http://dx.doi.org/10.1038/s41598-025-16008-2 | DOI Listing |
Int J Surg
September 2025
Department of Neurosurgery, 900th Hospital, Fuzhou, Fujian Province, China.
Brain Behav
September 2025
Radiology Department, Yantaishan Hospital, Yantai, Shandong, China.
Objective: To investigate the characteristics of brain structures in patients with noise-induced hearing loss (NIHL) using source-based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data.
Methods: High-resolution 3D T1 structural images were acquired from 81 patients with NIHL and 74 age- and education level-matched healthy controls (HCs). The clinical data of all subjects were collected, including noise exposure time, monaural hearing threshold weighted values (MTWVs), Mini-Mental State Examination (MMSE), and Hamilton Anxiety Scale (HAMA) scores.
Brain Res Bull
September 2025
Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, 230601, He Fei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, 230032, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, 230032, Hefei,
Background: The relationships between white matter microstructure, cortical atrophy, and cognitive function in cerebral small vessel disease (CSVD)-related white matter hyperintensities (WMHs) patients are unclear.
Methods: 71 right-handed WMHs patients (mild, n=23; moderate, n=27; severe, n=21) and 35 healthy controls were included. Tract-based spatial statistics (TBSS) assessed microstructure via fractional anisotropy (FA) and mean diffusivity (MD).
Neuroimage Clin
September 2025
Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Objectives: To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9-10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.
Methods: This longitudinal population-based study included 9-10-year-old U.S.
Neurol Neuroimmunol Neuroinflamm
November 2025
Departments of Neurology and Ophthalmology, NYU Grossman School of Medicine, NY; and.
Background And Objectives: While reductions in optical coherence tomography (OCT) pRNFL and ganglion cell-inner plexiform layer thicknesses have been shown to be associated with brain atrophy in adult-onset MS (AOMS) cohorts, the relationship between OCT and brain MRI measures is less established in pediatric-onset MS (POMS). Our aim was to examine the associations of OCT measures with volumetric MRI in a cohort of patients with POMS to determine whether OCT measures reflect CNS neurodegeneration in this patient population, as is seen in AOMS cohorts.
Methods: This was a cross-sectional study with retrospective ascertainment of patients with POMS evaluated at a single center with expertise in POMS and neuro-ophthalmology.