This study examined whether variations in brain development between kindergarten and Grade 3 predicted individual differences in reading ability at Grade 3. Structural MRI measurements indicated that increases in the volume of two left temporo-parietal white matter clusters are unique predictors of reading outcomes above and beyond family history, socioeconomic status, and cognitive and preliteracy measures at baseline. Using diffusion MRI, we identified the left arcuate fasciculus and superior corona radiata as key fibers within the two clusters. Bias-free regression analyses using regions of interest from prior literature revealed that volume changes in temporo-parietal white matter, together with preliteracy measures, predicted 56% of the variance in reading outcomes. Our findings demonstrate the important contribution of developmental differences in areas of left dorsal white matter, often implicated in phonological processing, as a sensitive early biomarker for later reading abilities, and by extension, reading difficulties.
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http://dx.doi.org/10.1177/0956797614544511 | DOI Listing |
Nutrients
December 2024
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Background: Dietary intake of polyunsaturated fatty acids (PUFA) plays a significant role in the onset and progression of neurodegenerative diseases. Since the neuroprotective effects of n-3 PUFA have been widely validated, the role of n-6 PUFA remains debated, with their underlying mechanisms still not fully understood.
Methods: In this study, 169,295 participants from the UK Biobank were included to analyze the associations between dietary n-6 PUFA intake and neurodegenerative diseases using Cox regression models with full adjustments for potential confounders.
J Clin Med
December 2024
Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12462 Athens, Greece.
Radiotherapy (RT) remains crucial in treating both primary and metastatic central nervous system cancer. Despite advancements in modern techniques that mitigate some toxic adverse effects, magnetic resonance imaging (MRI) scans still reveal a wide range of radiation-induced changes. Radiation can adversely affect neuroglial cells and their precursors, potentially triggering a demyelinating pattern similar to multiple sclerosis (MS).
View Article and Find Full Text PDFBiomedicines
December 2024
Department of Histology, Jagiellonian University Medical College, Kopernika 7, 31-034 Krakow, Poland.
Background: The levels of β-amyloid precursor protein (β-APP), tau protein, and phosphorylation of tau (p-tau) protein were examined by quantitative immunohistochemistry in the spinal cord sections of mice suffering from experimental autoimmune encephalomyelitis (EAE) in the successive phases of the disease: onset, peak, and chronic.
Methods: EAE was induced in C57BL/6 mice by immunization with MOG35-55 peptide. The degree of pathological changes was assessed in cross-sections of the entire spinal cord.
Brain Sci
December 2024
Imaging Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
Background/objectives: Those with the genetic disorder Down syndrome are at high risk of developing Alzheimer's disease. Previous work shows group differences in magnetic resonance spectroscopy metabolite measures in adults with Down syndrome who have Alzheimer's disease-related dementia compared to those who do not. In this pilot study, we assess relationships between metabolites and measures related to dementia status in a sample of adults with Down syndrome.
View Article and Find Full Text PDFBrain Sci
December 2024
Neuroinformatics Laboratory (NiLab), Bruno Kessler Foundation (FBK), 39123 Trento, Italy.
In glioma surgery, maximizing the extent of resection while preserving cognitive functions requires an understanding of the unique architecture of the white matter (WM) pathways of the single patient and of their spatial relationship with the tumor. Tractography enables the reconstruction of WM pathways, and bundle segmentation allows the identification of critical connections for functional preservation. This study evaluates the effectiveness of a streamline-based approach for bundle segmentation on a clinical dataset as compared to the traditional ROI-based approach.
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