IgE blockade during food allergen ingestion enhances the induction of inhibitory IgG antibodies

IgE-mediated food allergy is a growing problem with no curative therapy1. Oral immunotherapy (OIT) has shown promise, but its utility is limited by reactions during treatment and a lack of sustained protection following therapy. IgE antibodies trigger hypersensitivity reactions to foods. Their effects, mediated by FcεRI on mast cells and basophils, can be countered by IgG antibodies of shared specificity signaling via the inhibitory Fc receptor, FcγRIIb2. OIT induces only modest reductions in specific IgE antibodies but stimulates dramatic increases in inhibitory IgG3, 4.

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Comparative Assessment of Hand Joint Ultrasound Findings in Symptomatic Patients with Systemic Lupus Erythematosus and Sjögren's Syndrome: A Pilot Study

Publication date: Available online 3 November 2018

Source: Ultrasound in Medicine & Biology

Author(s): Linda Lei, Stephen Morgan, Eleana Ntatsaki, Coziana Ciurtin

Abstract

Systemic lupus erythematosus (SLE) and primary Sjögren's syndrome (SS) can be associated with inflammatory arthritis, which is underdiagnosed by clinical examination. The aim of this cross-sectional, observational study was to compare, for the first time, the ultrasound (US)-detected joint abnormalities in these two diseases and to define the role of US in patient management. Participants had SLE (n = 18) and SS (n = 23), symptoms of hand joint pain and no previous diagnosis of arthritis. Data on disease activity, duration, damage scores, inflammatory and serologic markers, treatment and clinical and ultrasound parameters (derived from the assessment of 902 joints) were analysed and correlated using descriptive statistics, correlation tests and regression models. Subclinical synovitis/tenosynovitis was detected in 44.4% of SLE patients and 21.7% of SS patients (p = 0.23). There was no significant correlation between either the total Power Doppler score or the total grey-scale score and disease activity scores (British Isles Lupus Assessment Group index and European League Against Rheumatism Sjögren's syndrome disease activity index). Both damage scores (Systemic Lupus International Collaborating Clinics index and Sjögren's syndrome disease damage index) correlated with the total grey-scale synovitis score. Significant proportions of the participants with SLE and SS had erosions (55.6% and 34.8%, respectively, p = 0.184) and osteophytes (61.1% vs. 60.9%, p = 0.98) in at least one joint. The lack of correlation between disease activity scores and US outcome measures indicated their limitations in diagnosing subclinical synovitis in SLE and SS patients. Future research is needed to determine if the development of erosions could be prevented by early diagnosis and prompt treatment of inflammatory arthritis associated with SLE and SS.

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Influence of Probe Pressure on Ultrasound-Based Shear Wave Elastography of the Liver Using Comb-Push 2-D Technology

Publication date: Available online 3 November 2018

Source: Ultrasound in Medicine & Biology

Author(s): Marie Byenfeldt, Anders Elvin, Per Fransson

Abstract

It has been postulated that in the liver, applying increased probe pressure during ultrasound-based shear wave elastography (SWE) might lead to a false increase in the SWE result. We aimed to determine the influence of increased intercostal probe pressure when performing SWE of the liver. We also investigated the number of measurements required to achieve technically successful and reliable SWE examinations. This prospective, clinical study included 112 patients and 2240 SWE measurements of the liver. We applied probe pressure intercostally, to reduce the skin-to-liver capsule distance (SCD), which could stabilize the SWE signal and thus increase the number of technically successful measurements. We performed 10 measurements with maximum probe pressure and 10 with normal pressure in each patient. Thus, two analysis groups were compared for differences. Compared with normal pressure, maximum probe pressure significantly reduced the SCD (p < 0.001) and significantly increased the number of technically successful measurements from 981 to 1098, respectively (p < 0.001). The SWE results with normal and maximum probe pressure were 5.96 kPa (interquartile range: 2.41) and 5.45 kPa (interquartile range: 1.96), respectively (p < 0.001). In obese patients, a large SCD poses a diagnostic challenge for ultrasound SWE. We found that maximum intercostal probe pressure could reduce the SCD and increase the number of technically successful measurements, without falsely increasing the SWE result. Only three measurements were required to achieve technically successful and reliable SWE examinations.

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Predicting Patient Needs for Interdisciplinary Services in a Voice and Swallowing Center

Publication date: Available online 3 November 2018

Source: Journal of Voice

Author(s): Holly E. Hess, Nicholas A. Barone, James J. Daniero

Abstract

In a subspecialty interdisciplinary voice and swallowing clinic, patient referrals come from a wide variety of disciplines for various reasons, which can make scheduling their initial evaluations challenging. Depending on the nature of complaints and symptoms, patients may best be evaluated either by a single provider (a laryngologist) or by an interdisciplinary team that includes a speech-language pathologist. If not scheduled appropriately, the provider and the patient may lose valuable time, resources, and money. This was a retrospective chart review of 76 patients who received an interdisciplinary evaluation in our Voice and Swallowing Center's first 7 months of operation. Two factors were examined for their predictive values: the most common reasons for referral and the disciplines that commonly refer to the clinic. The goal was to probe for any variables known at the time of referral that could inform us whether an interdisciplinary evaluation would be beneficial or not. This information informs resource planning for space, equipment, scheduling, and staffing. The results showed that the most common reasons for a referral to the Voice and Swallowing Center were dysphonia (34.8%), dyspnea/paradoxical vocal fold motion ("PVFM," 20.2%), and dysphagia (18%). Statistical analysis of the results indicated that certain reasons for referral were more likely to require an interdisciplinary evaluation than others: dysphonia, irritable larynx syndrome/chronic cough, and PVFM. Referrals most commonly came from providers with a background discipline of primary care (26%) and otolaryngology (22%). The discipline of a referring provider alone was not a strong enough indicator to reliably predict the type of evaluation needed. Examining the available data on referral patterns, as this study has done, has the potential to inform providers how to better anticipate their patients' needs and also improve clinic operations.

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Clinical immunotherapeutic approaches for the treatment of head and neck cancer

Publication date: Available online 3 November 2018

Source: International Journal of Oral and Maxillofacial Surgery

Author(s): S. Kareemaghay, M. Tavassoli

Abstract

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, accounting for more than 550,000 cases and 380,000 deaths annually. The primary risk factors associated with HNSCC are tobacco use and alcohol consumption; nevertheless genetic predisposition and oncogenic viruses also play important roles in the development of these malignancies. The current treatments for HNSCC patients include surgery, chemotherapy, radiotherapy, and cetuximab, and combinations of these. However, these treatments are associated with significant toxicity, and many patients are either refractory to the treatment or relapse after a short period. Despite improvements in the treatment of patients with HNSCC, the clinical outcomes of those who have been treated with standard therapies have remained unchanged for over three decades and the 5-year overall survival rate in these patients remains around 40–50%. Therefore, more specific and less toxic therapies are needed in order to improve patient outcomes. The tumour microenvironment of HNSCC is immunosuppressive; therefore immunotherapy strategies that can overcome the immunosuppressive environment and produce long-term tumour immunosurveillance will have a significant therapeutic impact in these patients. This review focuses on the current immunological treatment options under investigation or available for clinical use in patients with HNSCC.

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Sensorimotor characteristics of sign translations modulate EEG when deaf signers read English

Publication date: December 2018

Source: Brain and Language, Volume 187

Author(s): Lorna C. Quandt, Emily Kubicek

Abstract

Bilingual individuals automatically translate written words from one language to another. While this process is established in spoken-language bilinguals, there is less known about its occurrence in deaf bilinguals who know signed and spoken languages. Since sign language uses motion and space to convey linguistic content, it is possible that action simulation in the brain's sensorimotor system plays a role in this process. We recorded EEG from deaf participants fluent in ASL as they read individual English words and found significant differences in alpha and beta EEG at central electrode sites during the reading of English words whose ASL translations use two hands, compared to English words whose ASL translations use one hand. Hearing non-signers did not show any differences between conditions. These results demonstrate the involvement of the sensorimotor system in cross-linguistic, cross-modal translation, and suggest that covert action simulation processes are involved when deaf signers read.

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Amphiregulin Regulates Phagocytosis-Induced Cell Death in Monocytes via EGFR and Matrix Metalloproteinases

Neonates are highly susceptible to microbial infections which is partially attributable to fundamental phenotypic and functional differences between effector cells of the adult and neonatal immune system. The resolution of the inflammation is essential to return to tissue homeostasis, but given that various neonatal diseases, such as periventricular leukomalacia, necrotizing enterocolitis, or bronchopulmonary dysplasia, are characterized by sustained inflammation, newborns seem predisposed to a dysregulation of the inflammatory response. Targeted apoptosis of effector cells is generally known to control the length and extent of the inflammation, and previous studies have demonstrated that phagocytosis-induced cell death (PICD), a special type of apoptosis in phagocytic immune cells, is less frequently triggered in neonatal monocytes than in adult monocytes. We concluded that a rescue of monocyte PICD could be a potential therapeutic approach to target sustained inflammation in neonates. The EGFR ligand amphiregulin (AREG) is shed in response to bacterial infection and was shown to mediate cellular apoptosis resistance. We hypothesized that AREG might contribute to the reduced PICD of neonatal monocytes by affecting apoptosis signaling. In this study, we have examined a cascade of signaling events involved in extrinsic apoptosis by using a well-established in vitro E. coli infection model in monocytes from human peripheral blood (PBMO) and cord blood (CBMO). We found that CBMO shows remarkably higher pro-AREG surface expression as well as soluble AREG levels in response to infection as compared to PBMO. AREG increases intracellular MMP-2 and MMP-9 levels and induces cleavage of membrane-bound FasL through engagement with the EGF receptor. Our results demonstrate that loss of AREG rescues PICD in CBMO to the level comparable to adult monocytes. These findings identify AREG as a potential target for the prevention of prolonged inflammation in neonates.

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Announcements

Publication date: November 2018

Source: Journal of Cranio-Maxillofacial Surgery, Volume 46, Issue 11

Author(s):

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Treatment outcome in orthognathic surgery – A prospective comparison of accuracy in computer assisted two and three-dimensional prediction techniques

Publication date: November 2018

Source: Journal of Cranio-Maxillofacial Surgery, Volume 46, Issue 11

Author(s): Martin Bengtsson, Gert Wall, Patricia Miranda-Burgos, Lars Rasmusson

Abstract

The main objective of the present study was to assess the accuracy of two- and three-dimensional prediction techniques in orthognathic surgery. It was also a test of the very planning sequence. The scientific question was how well does the software support the surgeon in his way to find the perfect correction of the facial appearance while normalizing the occlusion?

Thirty patients with a class III occlusion were included in this prospective study. Surgical planning with both techniques were undertaken for all patients. Surgery was performed according to the two-dimensional technique. The cephalometric measurements from two-dimensional and three dimensional predictions were compared with the postoperative results at the 12 months follow-up respectively.

Together with an analysis of tracing error, placements of 2020 markers, 1860 measurements and 1280 comparisons was performed. The analysis showed an equally high accuracy for the studied techniques. The highest accuracy was found in the anterior maxilla. There was a tendency for an overestimation for the three-dimensional technique and an underestimation for the two-dimensional technique.

Conclusions

The present study indicates an equal high accuracy in predicting facial outcome for both studied techniques. However, in those patients with asymmetric malocclusion and/or facial appearance the three-dimensional technique has an obvious advantage.

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EACMFS Prizes & Awards

Publication date: November 2018

Source: Journal of Cranio-Maxillofacial Surgery, Volume 46, Issue 11

Author(s):

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Biomechanıcal evaluatıon of hybrid fixatıon method of sagittal split ramus osteotomy in mandibular advancement

Publication date: Available online 9 May 2018

Source: Journal of Cranio-Maxillofacial Surgery

Author(s): Burcu Gursoytrak, Nurdan Unsal, Umut Demetoglu, Hasan Onur Simsek, Hacı Saglam, Dogan Dolanmaz

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Evaluation of a portable low-budget three-dimensional stereophotogrammetry system for nasal analysis

Publication date: Available online 1 May 2018

Source: Journal of Cranio-Maxillofacial Surgery

Author(s): Lucas M. Ritschl, Florian D. Grill, Fabienna Mittermeier, Daniel Lonic, Klaus-Dietrich Wolff, Maximilian Roth, Denys J. Loeffelbein

Abstract

Background

Three-dimensional (3D) photogrammetry has reached high standards and accuracy but is mainly conducted with stationary and expensive systems. The purpose of this study was to evaluate the accuracy of a low-budget portable system with special regard to the gracile and challenging nasal region.

Material and Methods

3D models of the perinasal area were acquired by impression-taking and the scanning of the generated plaster models (3Shape D500) or with a portable low-budget 3D stereophotogrammetry (FUEL3D^® SCANIFY^®) system. Four examiners analysed defined landmarks of the generated Standard Tessellation Language files with regard to accuracy and interobserver reliability by using 3dMDvultus™ software. A semi-automatic 3D best-fit analysis of both models was performed by using Geomagic^® and the Root Mean Squared (RMS) errors were calculated.

Results

41 volunteers were included, with 22 perinasal and perioral landmarks, 15 3D distances and eight 3D angles being analysed per data set. In a point-based analysis the mean spreads were partially smaller in the plaster model scans. Most measurements showed very high (>0.8) to excellent (>0.9) intraclass correlation coefficients, the lowest being found for columella length (0.686) and left nostril width (0.636). Overall, the mean RMS error between the superimposed surfaces was 0.89 ± 0.22 mm in the best-fit analysis.

Conclusions

The corresponding software program was operator-friendly. The findings indicate that the analysed, affordable and portable system is a feasible solution for 3D image acquisition with comparable accuracy reported in the literature. Further studies will analyse the feasibility in neonates.

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The effect of two locally administered anti-resorptive agents on bone regeneration in a rat fibula model: Alendronate and 15-deoxy-Δ12,14-prostaglandin J₂

Publication date: Available online 26 April 2018

Source: Journal of Cranio-Maxillofacial Surgery

Author(s): Jung Woo Nam, Jin Il Kwon, Joo Young Hong, Hyung Jun Kim

Summary

Bisphosphonates are well-known drugs as inhibitors of bone resorption acting on inducing programmed cell death of osteoclasts. However, many in vitro studies report that optimal concentration of the bisphosphonate affects not only osteoclasts but also osteoblasts, that is, it induces the anabolic effects of osteoblasts. Recently reported 15-deoxy-Δ^12,14-prostaglandin J₂ (15d-PGJ₂) is an endogenous ligand of peroxisome proliferator-activated receptor−gamma, with an inhibitory activity on bone loss. Researchers have also suggested that 15d-PGJ₂ has the ability to reduce bone destruction and as the possibility of regeneration of bone.

The purpose of this study is to demonstrate the anabolic effect of two anti-resorptive materials, alendronate and 15d-PGJ₂, in a critical sized segmental defect model of rat fibula. The regenerated bone on the operative site was assessed through gross, radiographic (plain X-ray, and micro−computed tomography), histomorphologic evaluation, and statistical analysis. Consequently, the locally applied alendronate prevented resorption of grafted materials, and had a positive effect on bone regeneration with positive micro-architectural modification of the surrounding bone, although this study did not verify a significant capacity of bone regeneration of 15d-PGJ₂ and instead only shed a light on its possibility.

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Intraoperative arthroscopy of the TMJ during surgical management of condylar head fractures: A preliminary report

Publication date: Available online 6 June 2017

Source: Journal of Cranio-Maxillofacial Surgery

Author(s): Dusan Hirjak, Branislav Galis, Michal Beno, Vladimír Machon, Louis G. Mercuri, Andreas Neff

Abstract

Purpose

The purpose of this preliminary study was to evaluate intraarticular soft tissues of the temporomandibular joint (TMJ) using intraoperative arthroscopy during open reduction and internal fixation (ORIF) of condylar head fractures (CHF).

Materials and methods

26 patients (29 joints) were diagnosed in period of 5 years (2011–2015) with CHF, 5 patients had concomitant mandibular fracture. Fractures were diagnosed on basis of conventional orthopantomogram (OPG) and computed tomography (CT).

Results

Intraoperative arthroscopy revealed hyperemia and hypervascularity in all 29 joints, anterior disc dislocation in 26 joints, cartilage erosion in 21 joints and hemorrhagic clots were present in 10 joints. Major hemarthrosis or tear of the posterior band, as often described in MRI, could not be shown in our patients. Data from the study further the understanding of intraarticular pathology of the TMJ after acute trauma in a group with CHF.

Conclusion

Intraoperative arthroscopy is useful for direct evaluation and accurate diagnosis of the extent of soft tissue damage to TMJ in CHF. Larger and more long-term studies including comparison to MRI findings should be helpful to refine the treatment and postoperative management of patients after CHF.

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Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study

Publication date: 1 February 2019

Source: NeuroImage, Volume 186

Author(s): Jens Foell, Isabella M. Palumbo, James R. Yancey, Nathalie Vizueta, Traute Demirakca, Christopher J. Patrick

Abstract

Current literature on the relationship between dispositional fear (or threat sensitivity) and amygdala gray matter volume (GMV) is heterogeneous, with findings including positive, negative, and null correlations. A clearer understanding of this relationship would help to determine the potential utility of amygdala volume as a biomarker of anxious/depressive (internalizing) disorders and contribute to understanding of neural mechanisms for variations in fearfulness. The study reported here used voxel-based morphometry to quantify amygdala GMV scores from structural neuroimaging data in a sample of 44 monozygotic twins (i.e., 22 pairs). Dispositional threat sensitivity (THT) was quantified using a biobehavioral cross-domain score that combined neurophysiological indicators with a psychological scale measure. Analyses revealed expected high concordance for amygdala GMV between co-twins. With respect to the major question of the study, a negative correlation was found between biobehavioral THT scores and amygdala volume – with individuals higher in THT showing smaller amygdala GMV scores. More modest associations of amygdala GMV with symptoms of social phobia, and fear disorder symptomology more broadly, were mediated by THT. These results provide insight into prior mixed findings and support the combined use of biological and behavioral measures to quantify characteristics relevant to mental health problems.

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Connectome-based models predict attentional control in aging adults

Publication date: 1 February 2019

Source: NeuroImage, Volume 186

Author(s): Stephanie Fountain-Zaragoza, Shaadee Samimy, Monica D. Rosenberg, Ruchika Shaurya Prakash

Abstract

There are well-characterized age-related differences in behavioral and neural responses to tasks of attentional control. However, there is also increasing recognition of individual variability in the process of neurocognitive aging. Using connectome-based predictive modeling, a method for predicting individual-level behaviors from whole-brain functional connectivity, a sustained attention connectome-based prediction model (saCPM) has been derived in young adults. The saCPM consists of two large-scale functional networks: a high-attention network whose strength predicts better attention and a low-attention network whose strength predicts worse attention. Here we examined the generalizability of the saCPM for predicting inhibitory control in an aging sample. Forty-two healthy young adults (n = 21, ages 18–30) and older adults (n = 21, ages 60–80) performed a modified Stroop task, on which older adults exhibited poorer performance, indexed by higher reaction time cost between incongruent and congruent trials. The saCPM generalized to predict reaction time cost across age groups, but did not account for age-related differences in performance. Exploratory analyses were conducted to characterize the effects of age on functional connectivity and behavior. We identified subnetworks of the saCPM that exhibited age-related differences in strength. The strength of two low-attention subnetworks, consisting of frontoparietal, medial frontal, default mode, and motor nodes that were more strongly connected in older adults, mediated the effect of age group on performance. These results support the saCPM's ability to capture attention-related patterns reflected in each individual's functional connectivity signature across both task context and age. However, older and younger adults exhibit functional connectivity differences within components of the saCPM networks, and it is these connections that better account for age-related deficits in attentional control.

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How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes

Publication date: Available online 3 November 2018

Source: NeuroImage

Author(s): Prejaas Tewarie, Romesh Abeysuriya, Áine Byrne, George C. O'Neill, Stamatios N. Sotiropoulos, Matthew J. Brookes, Stephen Coombes

Abstract

Functional networks obtained from magnetoencephalography (MEG) from different frequency bands show distinct spatial patterns. It remains to be elucidated how distinct spatial patterns in MEG networks emerge given a single underlying structural network. Recent work has suggested that the eigenmodes of the structural network might serve as a basis set for functional network patterns in the case of functional MRI. Here, we take this notion further in the context of frequency band specific MEG networks. We show that a selected set of eigenmodes of the structural network can predict different frequency band specific networks in the resting state, ranging from delta (1–4 Hz) to the high gamma band (40–70 Hz). These predictions outperform predictions based from surrogate data, suggesting a genuine relationship between eigenmodes of the structural network and frequency specific MEG networks. We then show that the relevant set of eigenmodes can be excited in a network of neural mass models using linear stability analysis only by including delays. Excitation of an eigenmode in this context refers to a dynamic instability of a network steady state to a spatial pattern with a corresponding coherent temporal oscillation. Simulations verify the results from linear stability analysis and suggest that theta, alpha and beta band networks emerge very near to the bifurcation. The delta and gamma bands in the resting state emerges further away from the bifurcation. These results show for the first time how delayed interactions can excite the relevant set of eigenmodes that give rise to frequency specific functional connectivity patterns.

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Fiber length profiling: A novel approach to structural brain organization

Publication date: Available online 3 November 2018

Source: NeuroImage

Author(s): Claude J. Bajada, Jan Schreiber, Svenja Caspers

Abstract

There has been a recent increased interest in the structural connectivity of the cortex. However, an important feature of connectivity remains relatively unexplored; tract length. In this article, we develop an approach to characterize fiber length distributions across the human cerebral cortex. We used data from 76 participants of the Adult WU-Minn Human Connectome Project using probabilistic tractography. We found that connections of different lengths are not evenly distributed across the cortex. They form patterns where certain areas have a high density of fibers of a specific length while other areas have very low density. To assess the relevance of these new maps in relation to established characteristics, we compared them to structural indices such as cortical myelin content and cortical thickness. Additionally, we assessed their relation to resting state network organization. We noted that areas with very short fibers have relatively more myelin and lower cortical thickness while the pattern is inverted for longer fibers. Furthermore, the cortical fiber length distributions produce specific correlation patterns with functional resting state networks. Specifically, we find evidence that as resting state networks increase in complexity, their length profiles change. The functionally more complex networks correlate with maps of varying lengths while primary networks have more restricted correlations. We posit that these maps are a novel way of differentiating between 'local modules' that have restricted connections to 'neighboring' areas and 'functional integrators' that have more far reaching connectivity.

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Oscillatory signatures of reward prediction errors in declarative learning

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Kate Ergo, Esther De Loof, Clio Janssens, Tom Verguts

Abstract

Reward prediction errors (RPEs) are crucial to learning. Whereas these mismatches between reward expectation and reward outcome are known to drive procedural learning, their role in declarative learning remains underexplored. Earlier work from our lab addressed this, and consistently found that signed reward prediction errors (SRPEs; "better-than-expected" signals) boost declarative learning. In the current EEG study, we sought to explore the neural signatures of SRPEs. Participants studied 60 Dutch-Swahili word pairs while RPE magnitudes were parametrically manipulated. Behaviorally, we replicated our previous findings that SRPEs drive declarative learning, with increased recognition for word pairs accompanied by large, positive RPEs. In the EEG data, at the start of reward feedback processing, we found an oscillatory (theta) signature consistent with unsigned reward prediction errors (URPEs; "different-than-expected" signals). Slightly later during reward feedback processing, we observed oscillatory (high-beta and high-alpha) signatures for SRPEs during reward feedback, similar to SRPE signatures during procedural learning. These findings illuminate the time course of neural oscillations in processing reward during declarative learning, providing important constraints for future theoretical work.

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Carbon monofilament electrodes for unit recording and functional MRI in same subjects

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Miguel R. Chuapoco, Mankin Choy, Florian Schmid, Ben A. Duffy, Hyun Joo Lee, Jin Hyung Lee

Abstract

Extracellular electrophysiology and functional MRI are complementary techniques that provide information about cellular and network-level neural activity, respectively. However, electrodes for electrophysiology are typically made from metals, which cause significant susceptibility artifacts on MR images. Previous work has demonstrated that insulated carbon fiber bundle electrodes reduce the volume of magnetic susceptibility artifacts and can be used to record local field potentials (LFP), but the relatively large diameter of the probes make them unsuitable for multi- and single-unit recordings. Although single carbon fiber electrodes have recently been used to record single-unit activity, these probes require modifications in order to aid insertion and the use of these probes in fMRI has yet to be validated. Therefore, there is a need for a single-carbon fiber electrode design that (1) minimizes the volume of the susceptibility artifact, (2) can record from a wide frequency band that includes LFP and multi- and single-unit recording, and (3) is practical to insert without additional modifications. Here, we demonstrate that carbon-fiber electrodes made from single carbon monofilaments (35 μm in diameter) meet all of these criteria. Carbon monofilament electrodes modified with the conductive polymer poly(3,4-ethylenedioxythiophene) (PEDOT) have lower impedances and higher signal-to-noise ratio recordings than platinum-iridium electrodes, a current gold standard for chronic single-unit recording. Furthermore, these probes distort a significantly smaller volume of voxels compared to tungsten and platinum-iridium electrodes in agarose phantom and in vivo MR images, leading to higher contrast-to-noise ratio in regions proximal to the electrode implantation site during fMRI. Collectively, this work establishes that carbon monofilaments are a practical choice for combined electrophysiology-fMRI experiments.

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A framework for multi-component analysis of diffusion MRI data over the neonatal period

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Maximilian Pietsch, Daan Christiaens, Jana Hutter, Lucilio Cordero-Grande, Anthony N. Price, Emer Hughes, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell, J-Donald Tournier

Abstract

We describe a framework for creating a time-resolved group average template of the developing brain using advanced multi-shell high angular resolution diffusion imaging data, for use in group voxel or fixel-wise analysis, atlas-building, and related applications. This relies on the recently proposed multi-shell multi-tissue constrained spherical deconvolution (MSMT-CSD) technique. We decompose the signal into one isotropic component and two anisotropic components, with response functions estimated from cerebrospinal fluid and white matter in the youngest and oldest participant groups, respectively. We build an orientationally-resolved template of those tissue components from data acquired from 113 babies between 33 and 44 weeks postmenstrual age, imaged as part of the Developing Human Connectome Project. These data were split into weekly groups, and registered to the corresponding group average templates using a previously-proposed non-linear diffeomorphic registration framework, designed to align orientation density functions (ODF). This framework was extended to allow the use of the multiple contrasts provided by the multi-tissue decomposition, and shown to provide superior alignment. Finally, the weekly templates were registered to the same common template to facilitate investigations into the evolution of the different components as a function of age. The resulting multi-tissue atlas provides insights into brain development and accompanying changes in microstructure, and forms the basis for future longitudinal investigations into healthy and pathological white matter maturation.

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Consistent pre-stimulus influences on auditory perception across the lifespan

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Steven W. McNair, Stephanie J. Kayser, Christoph Kayser

Abstract

As we get older, perception in cluttered environments becomes increasingly difficult as a result of changes in peripheral and central neural processes. Given the aging society, it is important to understand the neural mechanisms constraining perception in the elderly. In young participants, the state of rhythmic brain activity prior to a stimulus has been shown to modulate the neural encoding and perceptual impact of this stimulus – yet it remains unclear whether, and if so, how, the perceptual relevance of pre-stimulus activity changes with age. Using the auditory system as a model, we recorded EEG activity during a frequency discrimination task from younger and older human listeners. By combining single-trial EEG decoding with linear modelling we demonstrate consistent statistical relations between pre-stimulus power and the encoding of sensory evidence in short-latency EEG components, and more variable relations between pre-stimulus phase and subjects' decisions in longer-latency components. At the same time, we observed a significant slowing of auditory evoked responses and a flattening of the overall EEG frequency spectrum in the older listeners. Our results point to mechanistically consistent relations between rhythmic brain activity and sensory encoding that emerge despite changes in neural response latencies and the relative amplitude of rhythmic brain activity with age.

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Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Mengqi Xing, Hyekyoung Lee, Zachery Morrissey, Moo K. Chung, K. Luan Phan, Heide Klumpp, Alex Leow, Olusola Ajilore

Abstract

Emotion regulation deficits are commonly observed in social anxiety disorder (SAD). We used manifold-learning to learn the phase-space connectome manifold of EEG brain dynamics in twenty SAD participants and twenty healthy controls. The purpose of the present study was to utilize manifold-learning to understand EEG brain dynamics associated with emotion regulation processes. Our emotion regulation task (ERT) contains three conditions: Neutral, Maintain and Reappraise. For all conditions and subjects, EEG connectivity data was converted into series of temporally-consecutive connectomes and aggregated to yield this phase-space manifold. As manifold geodesic distances encode intrinsic geometry, we visualized this space using its geodesic-informed minimum spanning tree and compared neurophysiological dynamics across conditions and groups using the corresponding trajectory length. Results showed that SAD participants had significantly longer trajectory lengths during Neutral and Maintain. Further, trajectory lengths during Reappraise were significantly associated with the habitual use of reappraisal strategies, while Maintain trajectory lengths were significantly associated with the negative affective state during Maintain. In sum, an unsupervised connectome manifold-learning approach can reveal emotion regulation associated phase-space features of brain dynamics.

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Stability of representational geometry across a wide range of fMRI activity levels

Publication date: Available online 2 November 2018

Source: NeuroImage

Author(s): Spencer A. Arbuckle, Atsushi Yokoi, Andrew Pruszynski, Jörn Diedrichsen

Abstract

Fine-grained activity patterns, as measured with functional magnetic resonance imaging (fMRI), are thought to reflect underlying neural representations. Multivariate analysis techniques, such as representational similarity analysis (RSA), can be used to test models of brain representation by quantifying the representational geometry (the collection of pair-wise dissimilarities between activity patterns). One important caveat, however, is that non-linearities in the coupling between neural activity and the fMRI signal may lead to significant distortions in the representational geometry estimated from fMRI activity patterns. Here we tested the stability of representational dissimilarity measures in primary sensory-motor (S1 and M1) and early visual regions (V1/V2) across a large range of activation levels. Participants were visually cued with different letters to perform single finger presses with one of the 5 fingers at a rate of 0.3–2.6 Hz. For each stimulation frequency, we quantified the difference between the 5 activity patterns in M1, S1, and V1/V2. We found that the representational geometry remained relatively stable, even though the average activity increased over a large dynamic range. These results indicate that the representational geometry of fMRI activity patterns can be reliably assessed, largely independent of the average activity in the region. This has important methodological implications for RSA and other multivariate analysis approaches that use the representational geometry to make inferences about brain representations.

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Optimizing fMRI experimental design for MVPA-based BCI control: Combining the strengths of block and event-related designs

Publication date: Available online 1 November 2018

Source: NeuroImage

Author(s): Giancarlo Valente, Amanda Kaas, Elia Formisano, Rainer Goebel

Abstract

Functional Magnetic Resonance Imaging (fMRI) has been successfully used for Brain Computer Interfacing (BCI) to classify (imagined) movements of different limbs. However, reliable classification of more subtle signals originating from co-localized neural networks in the sensorimotor cortex, e.g. individual movements of fingers of the same hand, has proved to be more challenging, especially when taking into account the requirement for high single trial reliability in the BCI context. In recent years, Multi Voxel Pattern Analysis (MVPA) has gained momentum as a suitable method to disclose such weak, distributed activation patterns. Much attention has been devoted to developing and validating data analysis strategies, but relatively little guidance is available on the choice of experimental design, even less so in the context of BCI-MVPA. When applicable, block designs are considered the safest choice, but the expectations, strategies and adaptation induced by blocking of similar trials can make it a sub-optimal strategy. Fast event-related designs, in contrast, require a more complicated analysis and show stronger dependence on linearity assumptions but allow for randomly alternating trials. However, they lack resting intervals that enable the BCI participant to process feedback.

In this proof-of-concept paper a hybrid blocked fast-event related design is introduced that is novel in the context of MVPA and BCI experiments, and that might overcome these issues by combining the rest periods of the block design with the shorter and randomly alternating trial characteristics of a rapid event-related design. A well-established button-press experiment was used to perform a within-subject comparison of the proposed design with a block and a slow event-related design.

The proposed hybrid blocked fast-event related design showed a decoding accuracy that was close to that of the block design, which showed highest accuracy. It allowed for across-design decoding, i.e. reliable prediction of examples obtained with another design. Finally, it also showed the most stable incremental decoding results, obtaining good performance with relatively few blocks.

Our findings suggest that the blocked fast event-related design could be a viable alternative to block designs in the context of BCI-MVPA, when expectations, strategies and adaptation make blocking of trials of the same type a sub-optimal strategy. Additionally, the blocked fast event-related design is also suitable for applications in which fast incremental decoding is desired, and enables the use of a slow or block design during the test phase.

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High frequency repetitive transcranial magnetic stimulation to the left dorsolateral prefrontal cortex modulates sensorimotor cortex function in the transition to sustained muscle pain

Publication date: Available online 1 November 2018

Source: NeuroImage

Author(s): Enrico DE. Martino, David A. Seminowicz, Siobhan M. Schabrun, Laura Petrini, Thomas Graven-Nielsen

Abstract

Based on reciprocal connections between the dorsolateral prefrontal cortex (DLPFC) and basal-ganglia regions associated with sensorimotor cortical excitability, it was hypothesized that repetitive transcranial magnetic stimulation (rTMS) of the left DLPFC would modulate sensorimotor cortical excitability induced by muscle pain. Muscle pain was provoked by injections of nerve growth factor (end of Day-0 and Day-2) into the right extensor carpi radialis brevis (ECRB) muscle in two groups of 15 healthy participants receiving 5 daily sessions (Day-0 to Day-4) of active or sham rTMS. Muscle pain scores and pressure pain thresholds (PPTs) were collected (Day-0, Day-3, Day-5). Assessment of motor cortical excitability using TMS (mapping cortical ECRB muscle representation) and somatosensory evoked potentials (SEPs) from electrical stimulation of the right radial nerve were recorded at Day-0 and Day-5. At Day-0 versus Day-5, the sham compared to active group showed: Higher muscle pain scores and reduced PPTs (P < 0.04); decreased frontal N30 SEP (P < 0.01); increased TMS map volume (P < 0.03). These results indicate that muscle pain exerts modulatory effects on the sensorimotor cortical excitability and left DLPFC rTMS has analgesic effects and modulates pain-induced sensorimotor cortical adaptations. These findings suggest an important role of prefrontal to basal-ganglia function in sensorimotor cortical excitability and pain processing.

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Brain network disintegration during sedation is mediated by the complexity of sparsely connected regions

Publication date: Available online 1 November 2018

Source: NeuroImage

Author(s): I. Pappas, R.M. Adapa, D.K. Menon, E.A. Stamatakis

Abstract

The precise mechanism of anaesthetic action on a neural level remains unclear. Recent approaches suggest that anaesthetics attenuate the complexity of interactions (connectivity) however evidence remains insufficient. We used tools from network and information theory to show that, during propofol-induced sedation, a collection of brain regions displayed decreased complexity in their connectivity patterns, especially so if they were sparsely connected. Strikingly, we found that, despite their low connectivity strengths, these regions exhibited an inordinate role in network integration. Their location and connectivity complexity delineated a specific pattern of sparse interactions mainly involving default mode regions while their connectivity complexity during the awake state also correlated with reaction times during sedation signifying its importance as a reliable indicator of the effects of sedation on individuals. Contrary to established views suggesting sedation affects only richly connected brain regions, we propose that suppressed complexity of sparsely connected regions should be considered a critical feature of any candidate mechanistic description for loss of consciousness.

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Intersubject similarity of personality is associated with intersubject similarity of brain connectivity patterns

Publication date: Available online 30 October 2018

Source: NeuroImage

Author(s): Wei Liu, Nils Kohn, Guillén Fernández

Abstract

Personality is a central high-level psychological concept that defines individual human beings and has been associated with a variety of real-world outcomes (e.g., mental health and academic performance). Using 2 h, high resolution, functional magnetic resonance imaging (fMRI) resting state data of 984 (primary dataset N = 801, hold-out dataset N = 183) participants from the Human Connectome Project (HCP), we investigated the relationship between personality (five-factor model, FFM) and intrinsic whole-brain functional connectome. We found a pattern of functional brain connectivity ("global personality network") related to personality traits. Consistent with the heritability of personality traits, the connectivity strength of this global personality network is also heritable (more similar between monozygotic twin pairs compared to the dizygotic twin pairs). Validated by both the repeated family-based 10-fold cross-validation and hold-out dataset, our intersubject network similarity analysis allowed us to identify participants' pairs with similar personality profiles. Across all the identified pairs of participants, we found a positive correlation between the network similarity and personality similarity, supporting our "similar brain, similar personality" hypothesis. Furthermore, the global personality network can be used to predict the individual subject's responses in the personality questionnaire on an item level. In sum, based on individual brain connectivity pattern, we could predict different facets of personality, and this prediction is not based on localized regions, but rather relies on the individual connectivity pattern in large-scale brain networks.

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Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM

Publication date: Available online 30 October 2018

Source: NeuroImage

Author(s): Anton Albajes-Eizagirre, Aleix Solanes, Eduard Vieta, Joaquim Radua

Abstract

Coordinate-based meta-analyses (CBMA) are very useful for summarizing the large number of voxel-based neuroimaging studies of normal brain functions and brain abnormalities in neuropsychiatric disorders. However, current CBMA methods do not conduct common voxelwise tests, but rather a test of convergence, which relies on some spatial assumptions that data may seldom meet, and has lower statistical power when there are multiple findings. Here we present a new algorithm that can use standard voxelwise tests and, importantly, conducts a standard permutation of subject images (PSI). Its main steps are: a) multiple imputation of study images; b) imputation of subject images; and c) subject-based permutation test to control the familywise error rate (FWER). The PSI algorithm is general and we believe that developers might implement it for several CBMA methods. We present here an implementation of PSI for seed-based d mapping (SDM) method, which additionally benefits from the use of effect sizes, random-effects models, Freedman-Lane-based permutations and threshold-free cluster enhancement (TFCE) statistics, among others. Finally, we also provide an empirical validation of the control of the FWER in SDM-PSI, which showed that it might be too conservative. We hope that the neuroimaging meta-analytic community will welcome this new algorithm and method.

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L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action

Publication date: Available online 28 October 2018

Source: NeuroImage

Author(s): Nils B. Kroemer, Ying Lee, Shakoor Pooseh, Ben Eppinger, Thomas Goschke, Michael N. Smolka

Abstract

Dopamine is a key neurotransmitter in action control. However, influential theories of dopamine function make conflicting predictions about the effect of boosting dopamine neurotransmission. Here, we tested if increases in dopamine tone by administration of L-DOPA upregulate reward learning as predicted by reinforcement learning theories, and if increases are specific for deliberative "model-based" control or reflexive "model-free" control. Alternatively, L-DOPA may impair learning as suggested by "value" or "thrift" theories of dopamine. To this end, we employed a two-stage Markov decision-task to investigate the effect of L-DOPA (randomized cross-over) on behavioral control while brain activation was measured using fMRI. L-DOPA led to attenuated model-free control of behavior as indicated by the reduced impact of reward on choice. Increased model-based control was only observed in participants with high working memory capacity. Furthermore, L-DOPA facilitated exploratory behavior, particularly after a stream of wins in the task. Correspondingly, in the brain, L-DOPA decreased the effect of reward at the outcome stage and when the next decision had to be made. Critically, reward-learning rates and prediction error signals were unaffected by L-DOPA, indicating that differences in behavior and brain response to reward were not driven by differences in learning. Taken together, our results suggest that L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action. These findings provide support for the value and thrift accounts of dopamine and call for a refined integration of valuation and action signals in reinforcement learning models.

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Feasibility of functional MRI at ultralow magnetic field via changes in cerebral blood volume

Publication date: Available online 28 October 2018

Source: NeuroImage

Author(s): Kai Buckenmaier, Anders Pedersen, Paul SanGiorgio, Klaus Scheffler, John Clarke, Ben Inglis

Abstract

We investigate the feasibility of performing functional MRI (fMRI) at ultralow field (ULF) with a Superconducting QUantum Interference Device (SQUID), as used for detecting magnetoencephalography (MEG) signals from the human head. While there is negligible magnetic susceptibility variation to produce blood oxygenation level-dependent (BOLD) contrast at ULF, changes in cerebral blood volume (CBV) may be a sensitive mechanism for fMRI given the five-fold spread in spin-lattice relaxation time (T₁) values across the constituents of the human brain. We undertook simulations of functional signal strength for a simplified brain model involving activation of a primary cortical region in a manner consistent with a blocked task experiment. Our simulations involve measured values of T₁ at ULF and experimental parameters for the performance of an upgraded ULFMRI scanner. Under ideal experimental conditions we predict a functional signal-to-noise ratio of between 3.1 and 7.1 for an imaging time of 30 min, or between 1.5 and 3.5 for a blocked task experiment lasting 7.5 min. Our simulations suggest it may be feasible to perform fMRI using a ULFMRI system designed to perform MRI and MEG in situ.

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Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching

Publication date: Available online 28 October 2018

Source: NeuroImage

Author(s): María Eugenia López, Sandra Pusil, Ernesto Pereda, Fernando Maestú, Francisco Barceló

Abstract

Cognitive flexibility is critical for humans living in complex societies with ever growing multitasking demands. Yet the low frequency neural dynamics of distinct task-specific and domain-general mechanisms sub-serving mental flexibility are still ill defined. Here we estimated phase electroencephalogram synchronization by using inter-trial phase coherence (ITPC) at the source space while twenty six young participants were intermittently cued to switch or repeat their perceptual categorization rule of Gabor gratings varying in color and thickness (switch task). Therefore, the aim of this study was to examine whether proactive control is associated with connectivity only in the frontoparietal theta network, or also involves distinct neural connectivity within the delta band, as distinct neural signatures while preparing to switch or repeat a task set, respectively. To this end, we focused the analysis on late-latencies (from 500 to 800 msec post-cue onset), since they are known to be associated with top-down cognitive control processes. We confirmed that proactive control during a task switch was associated with frontoparietal theta connectivity. But importantly, we also found a distinct role of delta band oscillatory synchronization in proactive control, engaging more posterior frontotemporal regions as opposed to frontoparietal theta connectivity. Additionally, we built a regression model by using the ITPC results in delta and theta bands as predictors, and the behavioral accuracy in the switch task as the criterion, obtaining significant results for both frequency bands. All these findings support the existence of distinct proactive cognitive control processes related to functionally distinct though highly complementary theta and delta frontoparietal and temporoparietal oscillatory networks at late-latency temporal scales.

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Reconfiguration of brain networks supporting inhibition of emotional challenge

Publication date: Available online 27 October 2018

Source: NeuroImage

Author(s): Morgan E. Bartholomew, Cindy M. Yee, Wendy Heller, Gregory A. Miller, Jeffrey M. Spielberg

Abstract

Reacting to the salient emotional features of a stimulus is adaptive unless the information is irrelevant or interferes with goal-directed behavior. The ability to ignore salient but otherwise extraneous information involves restructuring of brain networks and is a key impairment in several psychological disorders. Despite the importance of understanding inhibitory control of emotional response, the associated brain network mechanisms remain unknown. Utilizing functional magnetic resonance imaging (fMRI) data obtained from 103 participants performing an emotion-word Stroop (EWS) task, the present study applied graph-theory analysis to identify how brain regions subserving emotion processing and cognitive control are integrated within the global brain network to promote more specialized and efficient processing during successful inhibition of response to emotional distractors. The present study identified two sub-networks associated with emotion inhibition, one involving hyper-connectivity to prefrontal cortex and one involving hyper-connectivity to thalamus. Brain regions typically associated with identifying emotion salience were more densely connected with the thalamic hub, consistent with thalamic amplification of prefrontal cortex control of these regions. Additionally, stimuli high in emotion arousal prompted restructuring of the global network to increase clustered processing and overall communication efficiency. These results provide evidence that inhibition of emotion relies on interactions between cognitive control and emotion salience sub-networks.

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People got lost in solving a set of similar problems

Publication date: Available online 26 October 2018

Source: NeuroImage

Author(s): Furong Huang, Qingbai Zhao, Zhijin Zhou, Jing Luo

Abstract

A mental set generally refers to the human brain's tendency to persist with a familiar solution and stubbornly ignore alternatives. However, if a familiar solution is unable to solve a problem similar to a previous problem, does it continue to hinder alternative solutions, and if so, how and why? To answer these questions, a Chinese character decomposition task was adopted in this study. Participants were asked to perform a practice problem that could be solved by a familiar loose chunk decomposition (LCD) solution followed by a test problem that was similar to the practice problem but could only be solved by an unfamiliar tight chunk decomposition (TCD) solution or were asked to repeatedly perform 3–5 practice problems followed by a test problem; the former is the base-set condition, and the latter is the enhanced-set condition. The results showed that the test problem recruited more activation of the inferior frontal gyrus (IFG), middle occipital cortex (MOG), superior parietal lobule (SPL) and dorsal anterior cingulate cortex (dACC) than the practice problem in the latter operation and verification stage, but almost equal activation of the dACC occurred in the early exploration stage. This likely implied that people did not think that the familiar but currently invalid LCD solution could not be used to solve the test problem; thus, it continuously competed for attention with the unfamiliar TCD solution, which required more executive control to suppress. Moreover, compared with the base-set condition, the test problem in the enhanced-set condition recruited greater activations of the IFG, SPL and dACC in the latter verification stage but less activations of regions in the left IFG and MOG in the early exploration stage. These results revealed that people less actively explored and had to work harder to operate the unfamiliar TCD solution, particularly to resolve competition from the familiar but currently invalid LCD solution. In conclusion, people lost the ability to identify errors in the familiar but currently invalid solution, which in turn decreased the exploration efforts and increased the processing demands associated with alternative solutions in the form of attentional bias and competition. This finding broadly explains the dilemma of creative problem solving.

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High levels of Butyrate and Propionate in early life are associated with protection against atopy

Allergy, Volume 0, Issue ja, -Not available-.


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BLT1 signaling in epithelial cells mediates allergic sensitization via promotion of IL‐33 production

Allergy, Volume 0, Issue ja, -Not available-.


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Mast Cell Disorders: from Infancy to Maturity

Allergy, Volume 0, Issue ja, -Not available-.


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