| 1. |
- Glasbey, JC, et al.
(author)
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- 2021
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swepub:Mat__t
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| 2. |
- Haugg, Amelie, et al.
(author)
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Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
- 2021
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In: NeuroImage. - : Elsevier. - 1053-8119 .- 1095-9572. ; 237
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Journal article (peer-reviewed)abstract
- Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of clinical symptoms in patient populations. However, a considerably large ratio of participants undergoing neurofeedback training do not learn to control their own brain signals and, consequently, do not benefit from neurofeedback interventions, which limits clinical efficacy of neurofeedback interventions. As neurofeedback success varies between studies and participants, it is important to identify factors that might influence neurofeedback success. Here, for the first time, we employed a big data machine learning approach to investigate the influence of 20 different design-specific (e.g. activity vs. connectivity feedback), region of interest-specific (e.g. cortical vs. subcortical) and subject-specific factors (e.g. age) on neurofeedback performance and improvement in 608 participants from 28 independent experiments. With a classification accuracy of 60% (considerably different from chance level), we identified two factors that significantly influenced neurofeedback performance: Both the inclusion of a pre-training no-feedback run before neurofeedback training and neurofeedback training of patients as compared to healthy participants were associated with better neurofeedback performance. The positive effect of pre-training no-feedback runs on neurofeedback performance might be due to the familiarization of participants with the neurofeedback setup and the mental imagery task before neurofeedback training runs. Better performance of patients as compared to healthy participants might be driven by higher motivation of patients, higher ranges for the regulation of dysfunctional brain signals, or a more extensive piloting of clinical experimental paradigms. Due to the large heterogeneity of our dataset, these findings likely generalize across neurofeedback studies, thus providing guidance for designing more efficient neurofeedback studies specifically for improving clinical neurofeedback-based interventions. To facilitate the development of data-driven recommendations for specific design details and subpopulations the field would benefit from stronger engagement in open science research practices and data sharing.
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| 3. |
- Baker, DJ, et al.
(author)
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The experimental type 2 diabetes therapy glycogen phosphorylase inhibition can impair aerobic muscle function during prolonged contraction
- 2006
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In: Diabetes. - : American Diabetes Association. - 0012-1797 .- 1939-327X. ; 55:6, s. 1855-1861
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Journal article (peer-reviewed)abstract
- Glycogen phosphorylase inhibition represents a promising strategy to suppress inappropriate hepatic glucose output, while muscle glycogen is a major source of fuel during contraction. Glycogen phosphorylase inhibitors (GPi) currently being investigated for the treatment of type 2 diabetes do not demonstrate hepatic versus muscle glycogen phosphorylase isoform selectivity and may therefore impair patient aerobic exercise capabilities. Skeletal muscle energy metabolism and function are not impaired by GPi during high-intensity contraction in rat skeletal muscle; however, it is unknown whether glycogen phosphorylase inhibitors would impair function during prolonged lower-intensity contraction. Utilizing a novel red cell–perfused rodent gastrocnemius-plantaris-soleus system, muscle was pretreated for 60 min with either 3 μmol/l free drug GPi (n = 8) or vehicle control (n = 7). During 60 min of aerobic contraction, GPi treatment resulted in ∼35% greater fatigue. Muscle glycogen phosphorylase a form (P < 0.01) and maximal activity (P < 0.01) were reduced in the GPi group, and postcontraction glycogen (121.8 ± 16.1 vs. 168.3 ± 8.5 mmol/kg dry muscle, P < 0.05) was greater. Furthermore, lower muscle lactate efflux and glucose uptake (P < 0.01), yet higher muscle Vo2, support the conclusion that carbohydrate utilization was impaired during contraction. Our data provide new confirmation that muscle glycogen plays an essential role during submaximal contraction. Given the critical role of exercise prescription in the treatment of type 2 diabetes, it will be important to monitor endurance capacity during the clinical evaluation of nonselective GPi. Alternatively, greater effort should be devoted toward the discovery of hepatic-selective GPi, hepatic-specific drug delivery strategies, and/or alternative strategies for controlling excess hepatic glucose production in type 2 diabetes.
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| 4. |
- Poole, Jill A., et al.
(author)
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Repetitive organic dust exposure in vitro impairs macrophage differentiation and function
- 2008
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In: Journal of Allergy and Clinical Immunology. - : Elsevier BV. - 1097-6825 .- 0091-6749. ; 122:2, s. 375-382
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Journal article (peer-reviewed)abstract
- Organic dust exposure in the agricultural industry results in significant airway disease and lung function decrease. Mononuclear phagocytes are key cells that mediate the inflammatory and innate immune response after dust exposure. Objective: We sought to investigate the effect of organic dust extract (ODE) from modern swine operations on monocyte-derived macrophage (MDM) phenotype and function. Methods: Peripheral blood monocytes were obtained by means of elutriation methodology (> 99% CD14(+)) and differentiated into macrophages in the presence of GM-CSF (1 week) with and without ODE (0.1 %). At 1 week, cells were analyzed by means of flow cytometry for cell-surface marker expression (HLA-DR, CD80, CD86, Toll-like receptor 2, Toll-like receptor 4, mCD14, and CD16), phagocytosis (IgG-opsonized zymosan particles), and intracellular killing of Streptococcus pneumoniae. At 1 week, MDMs were rechallenged with high-dose ODE (1%), LPS, and peptidoglycan (PGN), and cytokine levels TNF-alpha, IL-6, IL-10, and CXCL8/IL-8) were measured. Comparisons were made to MDMs conditioned with heat-inactivated dust, endotoxin-depleted dust, LPS, and PGN to elucidate ODE-associated factors. Results: Expression of HLA-DR, CD80, and CD86; phagocytosis; and intracellular bacterial killing were significantly decreased with ODE-challenged versus control MDMs. Responses were retained after marked depletion of endotoxin. PGN, LPS, and PGN plus LPS significantly reduced MDM surface marker expression and, except for LPS alone, also reduced phagocytosis. ODE-challenged MDMs had significantly diminished cytokine responses (TNF-alpha, IL-6, and IL-10) after repeat challenge with high-dose ODE. Cross-tolerant cytokine responses were also observed. Conclusion: Repetitive organic dust exposure significantly decreases markers of antigen presentation and host defense function in MDMs. Bacterial cell components appear to be driving these impaired responses.
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