Objective: To use the amplitude of low-frequency fluctuation (ALFF) technique to investigate the local features of spontaneous brain activity in optic neuritis (ON) and their relationship with behavioral performance.
Materials And Methods: Twelve patients with ON (four male, eight female) and twelve age-, sex-, and education status-matched healthy controls (HCs) (four male, eight female) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. The ALFF technique was used to assess local features of spontaneous brain activity. Correlation analysis was used to explore the relationship between the observed mean ALFF values of the different areas and visual evoked potentials (VEPs) in patients with ON.
Results: Compared with HCs, patients with ON had significantly decreased ALFF values in the posterior and anterior lobes of the right cerebellum, right putamen, right inferior frontal gyrus, right insula, right supramarginal gyrus, right inferior parietal lobule, left medial frontal gyrus, left superior temporal gyrus, bilateral anterior cingulate/medial frontal gyrus, and bilateral precuneus, and significantly increased ALFF values in the posterior lobes of the left and right cerebellum, right inferior temporal gyrus, right inferior temporal/fusiform gyrus, left parahippocampal gyrus, left fusiform gyrus, left calcarine fissure, left inferior parietal lobule, and left cuneus. We found negative correlations between the mean ALFF signal value of the left parahippocampal gyrus and the VEP amplitude of the right eye in ON (r=-0.584, P=0.046), and a positive correlation between the mean ALFF signal value of the bilateral precuneus and the best-corrected visual acuity of the left eye (r=0.579, P=0.048) in patients with ON.
Conclusion: ON mainly seems to involve dysfunction in the default-mode network, cerebellum, and limbic system, which may reflect the underlying pathologic mechanism of ON.
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http://dx.doi.org/10.2147/NDT.S92497 | DOI Listing |
J Evid Based Med
January 2025
School of Teacher Education, Dali University, Dali, China.
Objective: Extraversion is a fundamental personality dimension that contributes to an individual's overall health and well-being. Many studies have examined the neural bases of extraversion but these results are inconsistent. This study adopted a meta-analysis approach to examine the brain activity correlates of extraversion by incorporating functional neuroimaging studies in the context of positive affect/emotional stimuli.
View Article and Find Full Text PDFInt J Clin Health Psychol
January 2025
Faculty of Psychology, Southwest University, Chongqing 400715, China.
Objective: The vicious circle model of obesity proposes that the hippocampus plays a crucial role in food reward processing and obesity. However, few studies focused on whether and how pediatric obesity influences the potential direction of information exchange between the hippocampus and key regions, as well as whether these alterations in neural interaction could predict future BMI and eating behaviors.
Methods: In this longitudinal study, a total of 39 children with excess weight (overweight/obesity) and 51 children with normal weight, aged 8 to 12, underwent resting-state fMRI.
World J Gastroenterol
January 2025
Department of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Medical Center, Changzhou 213000, Jiangsu Province, China.
Background: Anxiety is a common comorbidity in patients with Crohn's disease (CD). Data on the imaging characteristics of brain microstructure and cerebral perfusion in CD with anxiety are limited.
Aim: To compare the imaging characteristics of brain microstructure and cerebral perfusion among CD patients with or without anxiety and healthy individuals.
Eur Arch Psychiatry Clin Neurosci
January 2025
Lanzhou University Second Hospital, Lanzhou, China.
Anorexia nervosa (AN) and obsessive-compulsive disorder (OCD) often share multiple similar symptoms and are highly comorbid; however, the common and distinct brain neuroanatomy of these two diseases are unclear. The current study attempted to identify the overlapping and different gray matter volume (GMV) between AN and OCD. We conducted a voxel-wise meta-analysis of GMV using the latest Seed-based d Mapping with Permutation of Subject Images Toolbox (SDM-PSI) software.
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