As a textbook manifestation of an aggressive attitude, hostility can pose a serious threat to both an individual's life and the security of society at large. Past evidence suggests that some anxiety-related traits may be more prone to giving rise to hostility. However, many aspects of hostility, such as, determining the susceptible temperament for hostility, the neural basis of hostility, and the underlying mechanisms through which having a susceptible temperament generates hostility in a healthy brain, remain unclear. In this study, we sought to delve into these questions by assessing temperament and brain white matter integrity using self-report questionnaires and diffusion tensor imaging in a sizable sample of healthy adults (n = 357). First, we investigated the relationship between hostility and the four temperaments of the Cloninger model. Then, we investigated which white matter tracts were significantly correlated with hostility using a whole-brain analysis. Finally, we used a mediation analysis to explore the tripartite relationship between vulnerability temperament, the fractional anisotropy (FA) value of the white matter, and hostility. Our results suggest that a harm avoidance temperament may be susceptible to hostility and that the cingulum may be a key white matter region responsible for hostility. Based on these results, we developed a temperament-brain-attitude pathway showing how harm avoidance temperament could affect the brain and ultimately lead to hostility.
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http://dx.doi.org/10.1016/j.neuroscience.2021.02.031 | DOI Listing |
Radiologie (Heidelb)
January 2025
Department of Radiology, Bezmialem Vakıf University, Istanbul, Turkey.
Purpose: To determine whether there is a difference in apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values in white matter pathways in the subacute period after COVID-19 infection and to evaluate the correlation between diffusion tensor imaging (DTI) metrics and laboratory findings.
Material And Methods: The study included 64 healthy controls and 91 patients. Patients were classified as group 1 (all patients, n = 91), group 2 (outpatients, n = 58), or group 3 (inpatients, n = 33).
Brain
January 2025
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.
Although the pathophysiology of migraine involves a complex ensemble of peripheral and central nervous system changes that remain incompletely understood, the activation and sensitization of the trigeminovascular system is believed to play a major role. However, non-invasive, in vivo neuroimaging studies investigating the underlying neural mechanisms of trigeminal system abnormalities in human migraine patients are limited. Here, we studied 60 patients with migraine (55 females, mean age ± SD: 36.
View Article and Find Full Text PDFInt J Gen Med
January 2025
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.
Purpose: Conventional brain MRI protocols are time-consuming, which can lead to patient discomfort and inefficiency in clinical settings. This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.
Patients And Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence.
J Neurosci
January 2025
Department of Anatomy, Physiology, and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA.
Animal models are commonly used to investigate developmental processes and disease risk, but humans and model systems (e.g., mice) differ substantially in the pace of development and aging.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Department of Neuroradiology, Medical Center - University of Freiburg, Freiburg, Germany
Background: Cerebrospinal fluid (CSF) loss in spontaneous intracranial hypotension (SIH) is accompanied by volume shifts between the intracranial compartments. This study investigated tricompartimental and longitudinal volume shifts after closure of a CSF leak.
Methods: Patients with SIH and suitable pre-therapeutic and post-therapeutic imaging for volumetric analysis were identified from our tertiary care center between 2020 and 2023.
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