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25 result(s) for "Bittner, Nora"
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The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging
•VAB mechanistically confirm the hypothesis that inter-hemispheric SC serves as a pivotal basis for homotopic FC.•Global neuromodulation increases with age and with SC deterioration, but it is negatively related to verbal memory and concept shifting.•Increased SC-FC tethering might suggest an amplification of loss of dynamical flexibility, especially in poor cognitive performers.•Global modulation increase seems not to happen for the high performing group, likely due to better brain maintenance.•SBI confirms the increase of SC neuromodulation with aging and retrieves working points with the same age-declining FC and FCD features. The mechanisms of cognitive decline and its variability during healthy aging are not fully understood, but have been associated with reorganization of white matter tracts and functional brain networks. Here, we built a brain network modeling framework to infer the causal link between structural connectivity and functional architecture and the consequent cognitive decline in aging. By applying in-silico interhemispheric degradation of structural connectivity, we reproduced the process of functional dedifferentiation during aging. Thereby, we found the global modulation of brain dynamics by structural connectivity to increase with age, which was steeper in older adults with poor cognitive performance. We validated our causal hypothesis via a deep-learning Bayesian approach. Our results might be the first mechanistic demonstration of dedifferentiation during aging leading to cognitive decline.
Combining lifestyle risks to disentangle brain structure and functional connectivity differences in older adults
Lifestyle contributes to inter-individual variability in brain aging, but previous studies focused on the effects of single lifestyle variables. Here, we studied the combined and individual contributions of four lifestyle variables - alcohol consumption, smoking, physical activity, and social integration - to brain structure and functional connectivity in a population-based cohort of 549 older adults. A combined lifestyle risk score was associated with decreased gyrification in left premotor and right prefrontal cortex, and higher functional connectivity to sensorimotor and prefrontal cortex. While structural differences were driven by alcohol consumption, physical activity, and social integration, higher functional connectivity was driven by smoking. Results suggest that combining differentially contributing lifestyle variables may be more than the sum of its parts. Associations generally were neither altered by adjustment for genetic risk, nor by depressive symptomatology or education, underlining the relevance of daily habits for brain health. Lifestyle factors such as smoking and exercise contribute to the health of the brain during aging, but previous studies have focused on the effects of single lifestyle variables. Here, the authors examine the combined and individual effects of four lifestyle variables on brain structure and function.
Multimodal investigation of the association between shift work and the brain in a population-based sample of older adults
Neuropsychological studies reported that shift workers show reduced cognitive performance and circadian dysfunctions which may impact structural and functional brain networks. Here we tested the hypothesis whether night shift work is associated with resting-state functional connectivity (RSFC), cortical thickness and gray matter volume in participants of the 1000BRAINS study for whom information on night shift work and imaging data were available. 13 PRESENT and 89 FORMER night shift workers as well as 430 control participants who had never worked in shift (NEVER) met these criteria and were included in our study. No associations between night shift work, three graph-theoretical measures of RSFC of 7 functional brain networks and brain morphology were found after multiple comparison correction. Preceding multiple comparison correction, our results hinted at an association between more years of shift work and higher segregation of the visual network in PRESENT shift workers and between shift work experience and lower gray matter volume of the left thalamus. Extensive neuropsychological investigations supplementing objective imaging methodology did not reveal an association between night shift work and cognition after multiple comparison correction. Our pilot study suggests that night shift work does not elicit general alterations in brain networks and affects the brain only to a limited extent. These results now need to be corroborated in studies with larger numbers of participants.
The influence of bilingualism on gray matter volume in the course of aging: a longitudinal study
Bilingualism is associated with higher gray matter volume (GMV) as a form of brain reserve in brain regions such as the inferior frontal gyrus (IFG) and the inferior parietal lobule (IPL). A recent cross-sectional study reported the age-related GMV decline in the left IFG and IPL to be steeper for bilinguals than for monolinguals. The present study aimed at supporting this finding for the first time with longitudinal data. In the current study, 200 participants aged 19 to 79 years (87 monolinguals, 113 sequential bilinguals, mostly native German speakers with variable second language background) were included. Trajectories of GMV decline in the bilateral IFG and IPL were analyzed in mono- and bilinguals over two time points (mean time interval: 3.6 years). For four regions of interest (left/right IFG and left/right IPL), mixed Analyses of Covariance were conducted to assess (i) GMV changes over time, (ii) GMV differences for language groups (monolinguals/bilinguals), and (iii) the interaction between time point and language group. Corresponding analyses were conducted for the two factors of GMV, surface area (SA) and cortical thickness (CT). There was higher GMV in bilinguals compared to monolinguals in the IPL, but not IFG. While the left and right IFG and the right IPL displayed a similar GMV change in mono- and bilinguals, GMV decline within the left IPL was significantly steeper in bilinguals. There was greater SA in bilinguals in the bilateral IPL and a steeper CT decline in bilinguals within in the left IPL. The cross-sectional observations of a steeper GMV decline in bilinguals could be confirmed for the left IPL. Additionally, the higher GMV in bilinguals in the bilateral IPL may indicate that bilingualism contributes to brain reserve especially in posterior brain regions. SA appeared to contribute to bilinguals' higher GMV in the bilateral IPL, while CT seemed to account for the steeper structural decline in bilinguals in the left IPL. The present findings demonstrate the importance of time as an additional factor when assessing the neuroprotective effects of bilingualism on structural features of the human brain.
New Treatment Options for Lung Adenocarcinoma - in View of Molecular Background
Lung cancer is the leading cause of cancer related mortality all over the world, and a number of developments have indicated future clinical benefit recently. The development of molecular pathology methods has become increasingly important in the prediction of chemotherapy sensitivity and mutation analysis to identify driver mutations as important targets of new therapeutic agents. The most significant changes in the treatment of NSCLC revealed in new pathologic classification and in the introduction of molecularly targeted therapies, which include monoclonal antibodies and small molecule tyrosine kinase inhibitors. The side effects of these agents are generally better tolerated than those of conventional chemotherapy and show higher efficacy. The most important factor follows: histology subtypes, gene mutation status, patients’ selection, drug toxicities and occurence of drug resistance. In the advanced disease, the hope of cure is less than 3 %, but improvements in survival have been clearly achieved. Some years ago the median lung cancer survival rate was 10–12 months, now in case of available specific molecular targets, a significant increase in median survival rates to 24–36 months has been achieved. These agents give an opportunity to provide a new standard of care. Therefore testing EGFR mutations and ALK rearrangements in patients with advanced lung adenocarcinoma should be incorporated into routine clinical practice. This review focuses on the rationale for targeted agents and new treatment possibilities in case of advanced lung adenocarcinoma.
Nintedanib plus Docetaxel after Immune Checkpoint Inhibitor Failure in Patients with Advanced Non-Small-Cell Lung Cancer: A Case Series
Advances in the treatment of non-small-cell lung cancers (NSCLCs) lacking an actionable driver mutation have included the approval of immunotherapies, such as monotherapy or in combination with chemotherapy. However, limited evidence exists to guide clinical decision-making after progression with immunotherapy. The vascular endothelial growth factor (VEGF) signaling pathway promotes tumor angiogenesis and the development of an immunosuppressive tumor microenvironment (TME). Anti-VEGF treatment is postulated to favor an immunosupportive TME through an “angio-immunogenic switch.” Nintedanib, an anti-VEGF receptor treatment, is approved in the EU and other countries, in combination with docetaxel for the treatment of locally advanced, metastatic, or locally recurrent adenocarcinoma NSCLC after failure of first-line chemotherapy. We present a case series from 5 patients treated with nintedanib plus docetaxel, after chemotherapy and immunotherapy, during routine clinical practice in Austria and Hungary. Four patients were treated with nintedanib plus docetaxel as a second- or third-line treatment after chemotherapy and immunotherapy, and a fifth patient received immunotherapy before and after nintedanib plus docetaxel. Although these patients would typically have a poor prognosis, each achieved a partial response with nintedanib plus docetaxel, with response duration from 8 months to over 30 months. Adverse events were manageable. The fifth patient case shows that nintedanib does not preclude later-line immunotherapy or chemotherapy, supporting the angio-immunogenic switch hypothesis. Overall, the case studies indicate that nintedanib plus docetaxel is an effective and well tolerated treatment, after sequential or combined chemo-immunotherapy for advanced NSCLC, and is compatible with a rechallenge with immunotherapy.
Structural Connectivity Differences Reflect Microstructural Heterogeneity of the Human Insular Cortex
The insular cortex is renowned for its multitude of functions, intricate structural connectivity patterns, and complex cytoarchitecture, yet a unified multimodal concept remains elusive. Microstructural parcellations provide a promising mediator to integrate connectome data into a combined structural–functional framework. While in the macaque insula, a clear relationship between anatomical connections and cytoarchitecture is well established, such correlation in the human insula remains unclear. By combining diffusion data from two large cohorts, including 914 and 204 subjects, respectively, as well as probabilistic tractography and the microstructural JulichBrain Atlas, we uncover how microstructural diversity reflects structural connectivity patterns in the human insula. Analyzing the connectivity of 16 cytoarchitectonic areas, we identified six clusters, two in the posterior and four in the anterior insula. Posterior clusters exhibited strong connectivity with temporal, occipital, and parietal areas encompassing auditory, visual, and somatosensory systems. Conversely, anterior clusters were specifically linked with (orbito)frontal areas, such as Broca's area or frontal opercular areas. Together, our data demonstrate that structural connectivity differences are reflected by fundamental principles of microstructural organization in the human insula. Additional whole‐brain connectivity analyses reveal that two distinct areas within the anterior (Id6) and posterior (Id3) human insula may serve as integrative hubs, mediating between higher‐order cognitive and limbic systems, as well as across sensory modalities. All clusters are openly available in MNI space to support future multimodal studies addressing the relations between cytoarchitecture, structure, functions, and pathologies in this complex region of the human neocortex. Combining the microstructural JulichBrain Atlas with tractography, we analyzed connectivity patterns within the cytoarchitecture of the human insula. We discovered six clusters, consistent across two large cohorts, with distinct connectivity patterns for different anatomical and functional target regions, reflecting fundamental principles of microstructural organization within the human insula. Additional whole‐brain connectivity analyses reveal that two distinct areas within the anterior (Id6) and posterior (Id3) human insula may serve as integrative hubs, mediating between higher‐order cognitive and limbic systems, as well as across sensory modalities.
EGFR T790M Mutation Detection in Patients With Non-Small Cell Lung Cancer After First Line EGFR TKI Therapy: Summary of Results in a Three-Year Period and a Comparison of Commercially Available Detection Kits
EGFR mutation in non-small cell lung cancer (NSCLC) offers a potential therapeutic target for tyrosine kinase inhibitor (TKI) therapy. The majority of these cases, however eventually develop therapy resistance, mainly by acquiring EGFR T790M mutation. Recently, third-generation TKIs have been introduced to overcome T790M mutation-related resistance. Cell free circulating tumor DNA (liquid biopsy) has emerged as a valuable alternative method for T790M mutation detection during patient follow up, when a tissue biopsy cannot be obtained for analysis. In this study, we summarized our experience with Super-ARMS EGFR Mutation Detection Kit (AmoyDx) on 401 samples of 242 NSCLC patients in a 3-year period in Hungary, comprising 364 plasma and 37 non-plasma samples. We also compared the performance of two commercially available detection kits, the cobas EGFR Mutation test v2 (Roche) and the Super-ARMS EGFR Mutation Detection Kit (AmoyDx). The same activating EGFR mutation was detected with the AmoyDx kit as in the primary tumor in 45.6% of the samples. T790M mutation was identified in 48.1% of the samples containing activating EGFR mutation. The detection rate of T790M mutation was not dependent on the DNA concentration of the plasma sample and there was no considerable improvement in mutation detection rate after a second, subsequent plasma sample. The concordance of EGFR activating mutation detection was 89% between the two methods, while this was 93% for T790M mutation detection. The AmoyDx kit, however showed an overall higher detection rate of T790M mutation compared to the cobas kit ( p = 0.014). T790M mutation was detected at 29.8% of the patients if only plasma samples were available for analysis, while the detection rate was 70.2% in non-plasma samples. If the activating EGFR was detected in the plasma samples, the detection rate of T790M mutation was 42.4%. Although non-plasma samples provided a superior T790M mutation detection rate, we found that liquid biopsy can offer a valuable tool for T790M mutation detection, when a tissue biopsy is not available. Alternatively, a liquid biopsy can be used as a screening test, when re-biopsy should be considered in case of wild-type results.
When your brain looks older than expected: combined lifestyle risk and BrainAGE
Lifestyle may be one source of unexplained variance in the great interindividual variability of the brain in age-related structural differences. While physical and social activity may protect against structural decline, other lifestyle behaviors may be accelerating factors. We examined whether riskier lifestyle correlates with accelerated brain aging using the BrainAGE score in 622 older adults from the 1000BRAINS cohort. Lifestyle was measured using a combined lifestyle risk score, composed of risk (smoking, alcohol intake) and protective variables (social integration and physical activity). We estimated individual BrainAGE from T1-weighted MRI data indicating accelerated brain atrophy by higher values. Then, the effect of combined lifestyle risk and individual lifestyle variables was regressed against BrainAGE. One unit increase in combined lifestyle risk predicted 5.04 months of additional BrainAGE. This prediction was driven by smoking (0.6 additional months of BrainAGE per pack-year) and physical activity (0.55 less months in BrainAGE per metabolic equivalent). Stratification by sex revealed a stronger association between physical activity and BrainAGE in males than females. Overall, our observations may be helpful with regard to lifestyle-related tailored prevention measures that slow changes in brain structure in older adults.