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15 de ene. de 2021 · The goal of this study was to characterise white matter asymmetries in healthy humans using state-of-the-art diffusion MRI data, a fibre-specific diffusion model metric, and a statistical method that is robust to the presence of complex macroscopic architecture encountered throughout the human brain white matter.
Lesions of the cerebral white matter (WM) result in focal neurobehavioral syndromes, neuropsychiatric phenomena, and dementia. The cerebral WM contains fiber pathways that convey axons linking cerebral cortical areas with each other and with subcortical structures, facilitating the distributed neural circuits that subserve sensorimotor function ...
The corpus callosum is the primary commissural tract connecting the cerebral hemispheres and forms the largest WM fiber bundle in the brain . The anterior section of the corpus callosum is formed by the rostrum and genu, the middle section comprises the body and the posterior section is represented by the isthmus and splenium.
These MRI studies suggest that visible WMHs are “only the tip of the iceberg” and that the underlying pathophysiology is a diffuse process affecting small blood vessels in much of the white matter and other parts of the brain.
Background Changes in the cerebral hemispheric white matter are detected with increasing frequency by CT and MRI among persons older than 60 years. The pathogenesis, clinical significance, and morphological substrate of these changes are incompletely understood.
18 de jul. de 2021 · White fibers of the brain are classified into three types: (1) association fibers that interconnect different cortical areas in the same hemisphere, (2) commissural fibers that connect similar regions of the two hemispheres across the midline, and (3) projection fibers that connect the cortex with subcortical regions, the brainstem ...
Objective: Abnormal white matter (AWM) on magnetic resonance imaging is associated with cognitive performance in older adults. We explored cognitive associations with AWM during late-midlife. Method: Participants were community-dwelling men ( n = 242; M = 61.90 years; range = 56–66).
