98%
921
2 minutes
20
Background: Despite regional brain structural changes having been reported in patients with chronic low back pain (CLBP), the topological properties of structural covariance networks (SCNs), which refer to the organization of the SCNs, remain unclear. This study applied graph theoretical analysis to explore the alterations of the topological properties of SCNs, aiming to comprehend the integration and separation of SCNs in patients with CLBP.
Methods: A total of 38 patients with CLBP and 38 healthy controls (HCs), balanced for age and sex, were scanned using three-dimensional T1-weighted magnetic resonance imaging. The cortical thickness was extracted from 68 brain regions, according to the Desikan-Killiany atlas, and used to reconstruct the SCNs. Subsequently, graph theoretical analysis was employed to evaluate the alterations of the topological properties in the SCNs of patients with CLBP.
Results: In comparison to HCs, patients with CLBP had less cortical thickness in the left superior frontal cortex. Additionally, the cortical thickness of the left superior frontal cortex was negatively correlated with the Visual Analogue Scale scores of patients with CLBP. Furthermore, patients with CLBP, relative to HCs, exhibited lower global efficiency and small-worldness, as well as a longer characteristic path length. This indicates a decline in the brain's capacity to transmit and process information, potentially impacting the processing of pain signals in patients with CLBP and contributing to the development of CLBP. In contrast, there were no significant differences in the clustering coefficient, local efficiency, nodal efficiency, nodal betweenness centrality, or nodal degree between the two groups.
Conclusions: From the regional cortical thickness to the complex brain network level, our study demonstrated changes in the cortical thickness and topological properties of the SCNs in patients with CLBP, thus aiding in a better understanding of the pathophysiological mechanisms of CLBP.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.brainresbull.2024.110968 | DOI Listing |
Br J Psychiatry
September 2025
Neuroscience Research Australia, Randwick, New South Wales, Australia.
Background: Individuals with a family history of bipolar disorder are at increased risk of developing affective psychopathology. Longitudinal imaging studies in young people with familial risk have been limited, and cortical developmental trajectories in the progression towards illness remain obscure.
Aims: To establish high-resolution longitudinal differences in cortical structure that are associated with risk of bipolar disorder.
Brain Behav
September 2025
The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Background: Diverse correlations between structural brain abnormalities and the clinical feature of bulimia nervosa (BN) have been identified in previous observational studies.
Objective: To explore the bidirectional causality between BN and brain structural magnetic resonance imaging (MRI) phenotypes.
Methods: Genome-wide association studies (GWAS) of 2441 participants identified genetic variants associated with disordered eating and predicted BN, whereas UK Biobank 3D-T1 MRI data were used to analyze brain structural phenotypes.
Brain Behav
September 2025
Radiology Department, Yantaishan Hospital, Yantai, Shandong, China.
Objective: To investigate the characteristics of brain structures in patients with noise-induced hearing loss (NIHL) using source-based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data.
Methods: High-resolution 3D T1 structural images were acquired from 81 patients with NIHL and 74 age- and education level-matched healthy controls (HCs). The clinical data of all subjects were collected, including noise exposure time, monaural hearing threshold weighted values (MTWVs), Mini-Mental State Examination (MMSE), and Hamilton Anxiety Scale (HAMA) scores.
Brain Res Bull
September 2025
Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, 230601, He Fei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, 230032, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, 230032, Hefei,
Background: The relationships between white matter microstructure, cortical atrophy, and cognitive function in cerebral small vessel disease (CSVD)-related white matter hyperintensities (WMHs) patients are unclear.
Methods: 71 right-handed WMHs patients (mild, n=23; moderate, n=27; severe, n=21) and 35 healthy controls were included. Tract-based spatial statistics (TBSS) assessed microstructure via fractional anisotropy (FA) and mean diffusivity (MD).
Neuroimage Clin
September 2025
Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Objectives: To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9-10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.
Methods: This longitudinal population-based study included 9-10-year-old U.S.