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Background: Mild traumatic brain injury (mTBI) commonly has long-term cognitive and functional consequences; however, it is not clear whether these adverse outcomes begin in the acute phase of mTBI and are associated with changes in brain morphology and function.
Methods: The current study used T1-weighted MRI to determine whether cortical thickness, gray matter volume (GMV), and morphological brain networks were altered in patients with mTBI within 7 days of injury, and to examine whether these changes were associated with postacute cognitive and emotional abnormalities. Adults aged 18-56 years with mTBI ( n = 43) and healthy controls ( n = 37) completed the cognitive, emotional evaluation, and MRI examination, during which patients with mTBI completed symptom reports. Cortical thickness and GMV were estimated using Computational Anatomy Toolbox 12. On this basis, a gray matter covariance network was constructed based on the cortical thickness.
Results: After false discovery rate (FDR) correction, groups differed significantly on the left parahippocampal gyrus and left orbital part of the superior frontal gyrus GMV (mTBI > controls), but no cortical thickness. The network topological properties were also changed in the acute stage of mTBI. The GMV abnormality was related to postacute cognitive and emotional changes in the mTBI group.
Conclusion: The results emphasize that adverse outcomes begin in the acute phase and that the left parahippocampal gyrus and left orbital part of the superior frontal gyrus and related brain network abnormalities may be potential neuroimaging biomarkers explaining acute cognitive and depressive symptoms.
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http://dx.doi.org/10.1097/WNR.0000000000002186 | DOI Listing |
Introduction: Advances in neonatology, neonatal surgery, and extracorporeal membrane oxygenation (ECMO) have improved the prognosis of congenital diaphragmatic hernia (CDH). However, CDH survivors are at considerable risk of long-term neurological morbidity. Magnetic resonance imaging (MRI) abnormalities are reported in up to 84% of CDH-survivors but have only been rarely compared with neurodevelopmental outcomes.
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September 2025
Center for Applied Biomechanics, University of Virginia, Charlottesville, Virginia.
Objective: Multiple studies have demonstrated an increased risk of lower extremity injuries for females in frontal crashes. This study aimed to investigate whether sex-based anatomical differences, as measured on computed tomography (CT) scans of the abdomen and pelvis, contribute to lower extremity injury risk.
Methods: The Crash Injury Research and Engineering Network (CIREN) database (2017-2023) was queried for frontal collisions.
Background Aging involves heterogeneous brain grey matter (GM) loss patterns that may overlap with dementia-related changes. We evaluated cognitively unimpaired older adults to identify specific GM patterns, their clinical and cognitive profiles, and longitudinal trajectories. Methods We analyzed 746 participants from the Gothenburg H70 Study using random forest clustering based on MRI measures of cortical thickness and subcortical volume across 41 regions.
View Article and Find Full Text PDFIndividual differences in neural circuits underlying emotional regulation, motivation, and decision-making are implicated in many psychiatric illnesses. Interindividual variability in these circuits may manifest, at least in part, as individual differences in impulsivity at both normative and clinically significant levels. Impulsivity reflects a tendency towards rapid, unplanned reactions to internal or external stimuli without considering potential negative consequences coupled with difficulty inhibiting responses.
View Article and Find Full Text PDFStructural brain abnormalities in psychosis are well-replicated but heterogenous posing a barrier to uncovering the pathophysiology, etiology, and treatment of psychosis. To parse neurostructural heterogeneity and assess for the presence of anatomically-derived subtypes, we applied a data-driven method, similarity network fusion (SNF), to structural neuroimaging data in a broad cohort of individuals with psychosis (schizophrenia spectrum disorders (SSD) n=280; bipolar disorder with psychotic features (BD) n=101). SNF identified two transdiagnostic subtypes in psychosis (subtype 1: n=158 SSD, n=75 BD; subtype 2: n=122 SSD, n=26 BD) that exhibited divergent patterns of abnormal cortical surface area and subcortical volumes.
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