Purpose: Premature ejaculation (PE) is one of the most common sexual dysfunctions in men. However, there has been little research evaluating alterations in brain structure related to PE. We aimed to investigate the characteristics of nonmedicated PE patients in terms of brain morphometry.
Materials And Methods: The sample consisted with 32 medication-naïve adult men with clinical diagnosed PE and matched 31 healthy controls. All participants received diagnostic interviews and 3.0 Tesla MRI scans. Automatic segmentation processing of MRI structure images was performed using FreeSurfer software and cerebral cortical thickness between groups was compared.
Results: The PE group had thicker cortex in widespread regions, including the frontal, parietal and occipital lobe, and limbic system, compared with the healthy control group (P < 0.05). Moreover, the duration is negatively correlated with the mean cortical thickness of the right medial orbitofrontal cortex, right precentral gyrus and left superior frontal cortex (R = 0.29, P < 0.003; R = 0.163, P < 0.04; R = 0.2, P < 0.02), while the Premature Ejaculation Diagnostic Tool score is negatively correlated with the mean cortical thickness of the left caudal middle frontal cortex (R = 0.33, P < 0.005).
Conclusion: The result highlights the structural features of PE and suggests the relationship with the severity of impairment is related to the severity of anatomic abnormality with the relevant brain region. These results support the value of imaging measures as markers for understanding the physiopathology of PE.
Level Of Evidence: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:656-662.
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http://dx.doi.org/10.1002/jmri.25808 | DOI Listing |
Brain Behav
January 2025
BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Purpose: The impact of ventriculomegaly (VM) on cortical development and brain functionality has been extensively explored in existing literature. VM has been associated with higher risks of attention-deficit and hyperactivity disorders, as well as cognitive, language, and behavior deficits. Some studies have also shown a relationship between VM and cortical overgrowth, along with reduced cortical folding, both in fetuses and neonates.
View Article and Find Full Text PDFJ Thorac Dis
December 2024
Surgical Department, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Background: Barrett's esophagus (BE) is a precancerous condition often associated with esophageal adenocarcinoma, influenced by both genetic and environmental factors. However, there is controversy regarding the causal relationship between cerebral cortical structures and BE, with recent studies suggesting a potential neurobiological component to its multifactorial etiology. This study aims to clarify this relationship by utilizing Mendelian randomization (MR) analysis to investigate the potential causal effects of cortical structure variations on BE risk.
View Article and Find Full Text PDFBrain Behav
January 2025
Department of Kinesiology, University of Maryland, College Park, Maryland, USA.
Background: Higher cardiorespiratory fitness and cardiovascular endurance (CE) have been shown to be neuroprotective in older adulthood, but the mechanisms underlying this neuroprotection across the adult lifespan are poorly understood. The current study sought to examine the neuroprotective effects of CRF on gray matter (GM) and white matter (WM) volumes, and mean cortical thickness (MCT), using a large sample across the adult lifespan. We also examined sex differences in these relationships.
View Article and Find Full Text PDFNeuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Neuroscience
January 2025
Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008 China; Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008 China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing 210008 China; Institute of Brain Science, Nanjing University, Nanjing, China. Electronic address:
Type 2 diabetes (T2D) is often accompanied by non-alcoholic fatty liver disease (NAFLD), both of which are related to brain damage and cognitive impairment. However, cortical structural alteration and its relationship with metabolism and cognition in T2D with NAFLD (T2NAFLD) and without NAFLD (T2noNAFLD) remain unclear. The brain MRI scans, clinical measures and neuropsychological test were evaluated in 50 normal controls (NC), 73 T2noNAFLD, and 58 T2NAFLD.
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