Objective: Preterm infants have a high incidence of neurodevelopmental impairment associated with diffuse cerebral white matter abnormalities and also a high incidence of serious respiratory disease. However, it is unclear if lung disease and brain injury are related, and previous research has been impeded by confounding effects, including prematurity and infection. Using a new approach that permits multivariate statistical analysis, we tested the hypothesis that lung disease is associated with specific white matter abnormalities, detected as reduced fractional anisotropy (FA) in diffusion tensor imaging data.
Methods: Fifty-three preterm infants with no evidence of focal abnormality on conventional MRI were studied at term-equivalent age by using tract-based spatial statistics, an automated observer-independent method for voxelwise analysis of major white matter pathways.
Results: In several white matter tracts, FA decreased with a linear relation to the gestational age at birth. Independent of the confounding effects of prematurity and age at scan, respiratory disease was associated with specific white matter abnormalities in preterm infants; those infants receiving mechanical ventilation for >2 days in the perinatal period (n = 10) showed reduced FA in the genu of the corpus callosum, whereas subjects with chronic lung disease (n = 15) displayed a reduction in FA in the left inferior longitudinal fasciculus.
Conclusion: Independent of the degree of prematurity, respiratory disease is associated with cerebral white matter abnormalities.
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http://dx.doi.org/10.1542/peds.2008-1294 | DOI Listing |
Ann Clin Transl Neurol
January 2025
Department of Neuro-Urology, Balgrist University Hospital, University of Zürich, Zürich, Switzerland.
Objective: To characterize structural integrity of the lumbosacral enlargement and conus medullaris within one month after spinal cord injury (SCI).
Methods: Lumbosacral cord MRI data were acquired in patients with sudden onset (<7 days) SCI at the cervical or thoracic level approximately one month after injury and in healthy controls. Tissue integrity and loss were evaluated through diffusion tensor (DTI) and T2*-weighted imaging (cross-sectional area [CSA] measurements).
Brain
January 2025
Section of Neurosurgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, 03756, USA.
The somato-cognitive action network (SCAN) consists of three nodes interspersed within Penfield's motor effector regions. The configuration of the somato-cognitive action network nodes resembles the one of the 'plis de passage' of the central sulcus: small gyri bridging the precentral and postcentral gyri. Thus, we hypothesize that these may provide a structural substrate of the somato-cognitive action network.
View Article and Find Full Text PDFAnn Clin Transl Neurol
January 2025
NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Objective: To assess the pathological mechanisms contributing to white matter (WM) lesion expansion or contraction and remyelination in multiple sclerosis (MS).
Methods: We assessed 1,613 lesions in 49 people with relapsing-remitting MS in the CCMR-One bexarotene trial (EudraCT 2014-003145-99). We measured lesion orientation relative to WM tracts, surface-in gradients and veins.
Int J Surg
January 2025
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Introduction: Lung function has been associated with cognitive decline and dementia, but the extent to which lung function impacts brain structural changes remains unclear. We aimed to investigate the association of lung function with structural macro- and micro-brain changes across mid- and late-life.
Methods: The study included a total of 37 164 neurologic disorder-free participants aged 40-70 years from the UK Biobank, who underwent brain MRI scans 9 years after baseline.
Front Aging Neurosci
January 2025
Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Purpose: Differentiating between Alzheimer's disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms.
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