History of Traumatic Brain Injury in Relation to Cognitive Functioning, Memory Complaints, and Brain Structure in Mid-Life

In this study, we investigated history of traumatic brain injury with loss of consciousness in relation to cognitive functioning, subjective memory complaints, and brain structure in mid-life. This study included 2005 participants (mean age: 47.6 years, standard deviation: 5.0, women: 65%) from the Origins of Alzheimer's Disease Across the Life Course (ORACLE) study between 2017 and 2020. History of traumatic brain injury was defined as at least one lifetime self-reported brain injury with loss of consciousness. Associations of history of traumatic brain injury with (1) cognitive functioning (measured with the 15-Word Learning Test, Stroop Task, Letter-Digit Substitution Test, Word Fluency Test, Purdue Pegboard Test, and Design Organization Test), (2) current subjective memory complaints (present/absent, measured with a survey), and (3) brain structure (total brain volume, frontal and temporal lobe volume, gray matter volume, white matter volume, white matter hyperintensities volume, infarcts, and microbleeds, measured with brain magnetic resonance imaging [MRI]) were assessed using linear or logistical regression models and adjusted for relevant confounders. In total, 250 of 2005 (12%) participants reported a history of traumatic brain injury. Of those who reported the time post-injury (n = 173), most participants (n = 151, 87%) reported that it had occurred &gt;10 years ago. We found no associations between history of traumatic brain injury and any of the cognitive tests. We did find that a history of traumatic brain injury was associated with having mid-life subjective memory complaints (odds ratio [OR]: 1.87; 95% confidence interval [CI]: 1.35, 2.58). This association was also present when investigating only those who reported an injury &gt;10 years ago (OR:1.69; 95% CI: 1.15, 2.50). Additionally, the association was stronger in those with &gt;30 min loss of consciousness (OR: 3.57; 95% CI: 1.48, 8.59) than in those with &lt;30 min loss of consciousness (OR: 1.85; 95% CI: 1.25, 2.74), when compared with those without history of traumatic brain injury. Lastly, we found no associations between history of traumatic brain injury and any of the structural brain MRI outcomes. In conclusion, our study suggests that at least one lifetime traumatic brain injury with loss of consciousness in mid-life is associated with long-term subjective memory complaints, but not with cognitive functioning or brain structure.</p

The role of cognitive and brain reserve in late-life depressive events: The Rotterdam Study

Background: Cognitive and brain reserve aim to explain individual differences in susceptibility to dementia and may also affect the risk of late-life depressive events. We assessed whether higher cognitive and brain reserve are associated with lower risk of a late-life depressive event. Methods: This study included 4509 participants from the population-based Rotterdam Study (mean age: 63.4 ± 10.2 years, 55 % women) between 2005 and 2019. Participants completed cognitive testing and brain-MRI at baseline. Cognitive reserve was defined as the common variance across cognitive tests, while adjusting for demographic factors and brain MRI-markers. Brain reserve was defined as total brain volume divided by intracranial volume. Depressive events (depressive symptoms/depressive syndrome/major depressive disorder) were repeatedly measured (follow-up: 6.6 ± 3.9 years) with validated questionnaires, clinical interviews, and follow-up of medical records. Hazard ratios (HR) with 95 % confidence intervals (CI) were estimated using Cox-regressions. Results: Higher cognitive (HR: 0.91/SD, 95%CI: 0.84; 1.00) and brain reserve (HR: 0.88/SD, 95%CI: 0.77; 1.00) were associated with a lower risk of a depressive event after adjustment for baseline depressive symptoms. These associations attenuated when participants with clinically relevant depressive symptoms at baseline were excluded (HR: 0.95/SD, 95%CI: 0.86; 1.05, HR: 0.89/SD, 95%CI: 0.76; 1.03, respectively). Limitations: No data was available on depression in early-life and the number of participants with major depressive disorder was relatively low (n = 105). Conclusions: Higher cognitive and brain reserve may be protective factors for late-life depressive events, particularly in those who have experienced clinical relevant depressive symptoms before. Further research is needed to determine whether cognitive and brain reserve could be used as targets for the prevention of late-life depression

Sociodemographic, Lifestyle, Physical, and Psychosocial Determinants of Cognitive Reserve

Background: Cognitive reserve aims to explain individual differences in the susceptibility to the functional impact of dementia in the presence of equal amount of neuropathological damage. It is thought to be shaped by a combination of innate individual differences and lifetime exposures. Which determinants are associated with cognitive reserve remains unknown. Objective: The objective of this study was to investigate the associations of sociodemographic, lifestyle, physical, and psychosocial determinants with cognitive reserve, and potential sex differences. Methods: This cross-sectional study included 4,309 participants from the Rotterdam Study (mean age 63.9±10.7) between 2006-2016. Participants completed five cognitive tests and a brain MRI-scan. Cognitive reserve was defined as a latent variable that captures variance common across five cognitive tests, while adjusting for demographic and MRI-inferred neuropathological factors. The associations of potential determinants and cognitive reserve, adjusted for relevant confounders, were assessed with structural equation models. Results: Current smoking (adjusted mean difference: -0.31, 95%confidence interval -0.42; -0.19), diabetes mellitus (-0.25, -0.40; -0.10) and depressive symptoms (-0.07/SD, -0.12; -0.03) were associated with a lower cognitive reserve whereas alcohol use (0.07/SD, 0.03; 0.12) was associated with higher cognitive reserve. Only smoking was associated with cognitive reserve in both men and women. Employment, alcohol use, diabetes, history of cancer, COPD, and depressive symptoms were only associated with cognitive reserve in women. Conclusion: Our study found that current smoking, diabetes mellitus, and depressive symptoms were associated with a lower cognitive reserve, whereas more alcohol use was associated with a higher cognitive reserve, but with clear differences between men and women

Psoas Muscle Area as a Prognostic Factor for Survival in Patients with an Asymptomatic Infrarenal Abdominal Aortic Aneurysm: A Retrospective Cohort Study

Objectives: Loss of muscle mass has been associated with poor survival in several surgical patient populations, including those with an abdominal aortic aneurysm (AAA). We wanted to replicate these findings and assess the association between psoas muscle area (PMA) and survival in patients with an asymptomatic AAA. Methods: Patients with an asymptomatic infrarenal AAA who underwent computed tomography (CT) scanning between January 1, 2007, and December 31, 2013, were included in this single-centre retrospective cohort study. PMA was measured with thresholding on an axial image at the centre level of the third lumbar vertebra. The lowest tertile of PMA in all patients was used as a cutoff value for a low PMA. Then, in separate analyses for conservatively and surgically managed patients, survival was estimated with the Kaplane-Meier method. Differences in survival between patients with and without a low PMA were tested with the log-rank test. Results: Of 228 patients, 104 were managed conservatively and 124 underwent AAA repair. Seventy-seven patients (62%) had an endovascular repair. In these 228 patients, the median PMA was 16.83 cm(2), while the cutoff value for low PMA was 14.56 cm(2). Patients who were managed conservatively were more often classified as having low PMA (45/104, 43%, vs. 31/124, 25%; p = .004) and were significantly older (mean 73.4 +/- 49.05 years vs. 69.03 +/- 7.46 years; p <.001). Low PMA was not associated with survival, either in patients managed conservatively, or in those who underwent AAA repair (p = .512 and p = .311, respectively). Conclusions: The association between low PMA and poor survival could not be replicated; in this study, low PMA was not associated with survival in patients with an asymptomatic AAA. Further research is recommended before PMA can be used for pre-operative risk stratification. (C) 2017 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserve

Unfavorable Outcome in Patients with Aneurysmal Subarachnoid Hemorrhage WFNS Grade I

Background: Patients with an aneurysmal subarachnoid hemorrhage (aSAH) and World Federation of Neurosurgical Societies (WFNS) grade I on admission are generally considered to have a good clinical outcome. Objective: The objective of this study was to assess the actual clinical outcome of WFNS grade I aSAH patients, and to determine which factors are associated with unfavourable outcome. Methods: For this prospective cohort study, 132 consecutive patients (age 18 years or older) with a WFNS grade I aSAH admitted to our hospital between December 2011 and January 2016 were eligible. Clinical outcome was measured using the modified Rankin Scale (mRS) at 6-month follow-up. Unfavorable outcome was defined as an mRS score of 3–6. Univariable analyses were performed using logistic regression models. Results: Of 116 patients, only 5 patients (4%) had an mRS score of 0 and most (65%) had an mRS score of 2. Twenty-five patients (22%) had an unfavorable outcome. Nine (8%) patients died, of whom 4 died during admission. Factors associated with unfavorable outcome were age (per increasing decade: odds ratio [OR]. 1.78; 95% confidence interval [CI], 1.16–2.72), delayed cerebral ischemia (OR, 4.32; 95% CI, 1.63–11.44), pneumonia (OR, 10.75; 95% CI, 1.94–59.46) and meningitis (OR, 28.47; 95% CI, 1.42–571.15). Conclusions: Despite their neurologically optimal clinical condition on admission, 1 in 5 patients with WFNS grade I aSAH has an unfavorable clinical outcome or is dead at 6-month follow-up. Additional multivariable analysis in larger patient cohorts is necessary to identify the extent to which preventable complications contribute to unfavorable outcomes in these patients

Resistance to developing brain pathology due to vascular risk factors: the role of educational attainment

Brain pathology develops at different rates between individuals with similar burden of risk factors, possibly explained by brain resistance. We examined if education contributes to brain resistance by studying its influence on the association between vascular risk factors and brain pathology. In 4111 stroke-free and dementia-free community-dwelling participants (62.9 ± 10.7 years), we explored the association between vascular risk factors (hypertension and the Framingham Stroke Risk Profile [FRSP]) and imaging markers of brain pathology (markers of cerebral small vessel disease and brain volumetry), stratified by educational attainment level. Associations of hypertension and FSRP with markers of brain pathology were not significantly different between levels of educational attainment. Certain associations appeared weaker in those with higher compared to lower educational attainment, particularly for white matter hyperintensities (WMH). Supplementary residual analyses showed significant associations between higher educational attainment and stronger resistance to WMH among others. Our results suggest a role for educational attainment in resistance to vascular brain pathology. Yet, further research is needed to better characterize determinants of brain resistance.ImPhys/Medical ImagingImPhys/Computational Imagin

Virtual Ontogeny of Cortical Growth Preceding Mental Illness

Background: Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life. Methods: Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed. Results: Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth. Conclusions: Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from typical brain development during pregnancy