Background: Increasing evidence shows that disruption of connectivity has been implicated as a central abnormality in schizophrenia, and the alterations in white matter may be the core basis for this disconnection. Diffusion tensor imaging (DTI) has shown white matter abnormalities in first-episode schizophrenia. However, few studies have examined the correlation between clinical symptoms and white matter abnormalities in drug-naive patients with first-episode schizophrenia.
Method: The white matter fractional anisotropy (FA) values of the whole-brain were determined by using voxel-based DTI in 39 drug-naive patients with first-episode schizophrenia (diagnosed according to DSM-IV) and 30 healthy controls matched for age and gender. The psychopathology of schizophrenia was assessed with the Positive and Negative Syndrome Scale (PANSS). The study was conducted from April 2009 to March 2010.
Results: The patients showed widespread FA reduction in several brain regions, including corpus callosum, brainstem, internal capsule, cingulate, and cerebellum in patients with first-episode schizophrenia when compared to healthy controls (all P values < .01 after adjusting for gender, age, and education). The correlation analysis showed a significant negative correlation between the FA value in the left cerebellum and positive symptoms (r38 = -0.32, P < .05) and a significant positive correlation between the FA values in the corpus callosum and both the PANSS general psychopathology subscore (r38 = 0.39, P < .01) and the PANSS total score (r38 = 0.33, P < .05).
Conclusions: Our results indicate that widespread disruption of white matter integrity occurs in an early stage of schizophrenic onset, suggesting an important role in pathogenesis and symptomatology of schizophrenia.
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http://dx.doi.org/10.4088/JCP.14m09374 | DOI Listing |
Biomed Phys Eng Express
January 2025
Shandong University of Traditional Chinese Medicine, Qingdao Academy of Chinese Medical Sciences, Jinan, Shandong, 250355, CHINA.
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease, and it can be used as an important indicator of disease progression. However, many existing methods focus mainly on the image itself when processing brain imaging data, ignoring other non-imaging data (e.g.
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February 2025
Department of Anesthesiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Chronic pain is a pervasive and debilitating condition with increasing implications for public health, affecting millions of individuals worldwide. Despite its high prevalence, the underlying neural mechanisms and pathophysiology remain only partly understood. Since its introduction 35 years ago, brain diffusion magnetic resonance imaging (MRI) has emerged as a powerful tool to investigate changes in white matter microstructure and connectivity associated with chronic pain.
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January 2025
Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA 02115.
This study presents the construction of a comprehensive spatiotemporal atlas of white matter tracts in the fetal brain for every gestational week between 23 and 36 wk using diffusion MRI (dMRI). Our research leverages data collected from fetal MRI scans, capturing the dynamic changes in the brain's architecture and microstructure during this critical period. The atlas includes 60 distinct white matter tracts, including commissural, projection, and association fibers.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Background: Central arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults, but little is known about this association from an adult lifespan perspective.
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Environ Sci Technol
January 2025
Environmental Research Group, School of Public Health, Imperial College London, Sir Michael Uren Biomedical Engineering Hub, White City Campus, 80 Wood Lane, London W12 0BZ, United Kingdom.
This study explores the cobenefits of reduced nitrogen dioxide (NO), ozone (O), and particulate matter (PM), through net zero (NZ) climate policy in the UK. Two alternative NZ scenarios, the balanced net zero (BNZP) and widespread innovation (WI) pathways, from the UK Climate Change Committee's Sixth Carbon Budget, were examined using a chemical transport model (CTM). Under the UK existing policy, Business as Usual (BAU), reductions in NO and PM were predicted by 2030 due to new vehicle technologies but plateau by 2040.
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