Mesoproterozoic to Early Devonian Evolution of the Lyderhorn Gneiss (Øygarden Complex, SW Norway) - Constraints from Field Mapping and U-Pb Zircon Geochronology

The Øygarden Complex and the Bergen Arc System are intriguing large-scale structures in the SW Norwegian Caledonides, but their formation is still incompletely understood. So far, the lack of published U-Pb zircon ages has limited clear interpretations of the geologic evolution of the Øygarden Complex. The Lyderhorn Gneiss is located in the poorly studied eastern part of the Øygarden Complex and forms the core of the Bergen Arc. Detailed field mapping was conducted and seven samples were dated by SIMS U-Pb zircon geochronology, to study the magmatic and structural formation of the Lyderhorn Gneiss. Igneous protoliths formed during the Mesoproterozoic Gothian-Telemarkian (1504 Ma) and Sveconorwegian (1041 Ma and 1026 - 1022 Ma) orogenic periods. They do not record Sveconorwegian high-grade regional metamorphism. Early Ordovician (483 Ma) thermal resetting of metamict zircons was followed by sustained residence at elevated temperatures that annealed previous radiation damage. The U-Pb zircon system was not affected by Caledonian amphibolite facies metamorphism. The structure of the Lyderhorn Gneiss formed in one single deformation event, recorded in ENE-directed exhumational deformation from amphibolite facies to the brittle-plastic transition. Fluid-assisted strain weakening formed phyllonitic E-dipping detachment shear zones that became finally overprinted by (semi-)brittle deformation. Based on the Mesoproterozoic protolith ages, the Lyderhorn Gneiss and thereby the Øygarden Complex are correlated with the Telemarkia domain of the Baltican basement. The age of magmatism relates the Øygarden Complex with the Sirdal Magmatic Belt of southern Norway. The correlation suggests a continuous NNW-trend of Sveconorwegian domain boundaries and supports the assertion that Sveconorwegian high-T metamorphism in the Baltican basement was rather local than regional. A rapid temperature increase in the Early Ordovician is interpreted to mark the onset of Caledonian convergence. The structure of the Lyderhorn Gneiss is constrained to have formed by Early Devonian extensional deformation. Bidirectional Devonian extension in the Øygarden Complex is explained by exhumation as a Devonian extensional gneiss dome. The proposed, symmetrical core complex style of exhumation, resembles previously identified core complexes in central Norway and allows for a more consistent interpretation of basement culminations along the Norwegian margin. Possible onshore-offshore correlations are suggested for the Utsira High in the northern North Sea. Detailed structural and thermochronological studies will be needed to test the proposed model.Master i GeovitenskapMAMN-GEOVGEOV39

Shear zone evolution during core complex exhumation – Implications for continental detachments

The formation of low-angle detachments involves exhumation of previously ductile material and fault zone weakening. To better understand this relationship, we studied a deeply eroded metamorphic core complex, which formed in the core of the Bergen Arcs (W Norway) during Caledonian post-orogenic collapse. Multi-scale structural mapping in the Øygarden Complex constrains three structural levels characterized by localized shear (Upper Unit), distributed deformation (Middle Unit) and a migmatite double-dome (Lower Unit). All levels show retrogressive E-W stretching accompanied by extension-parallel recumbent folding, albeit, with opposing shear senses at upper and middle/lower levels. The systematic comparison of 23 shear zones constrains the ductile-to-brittle structural evolution. Initially, high temperatures and partial melting controlled pervasive deep crustal flow and ductile doming. During retrogressive shearing, lithological heterogeneity controlled strain localization and channelized fluid flow causing retrograde phyllosilicate growth. This established a feedback loop of fluid-flow, fabric weakening and progressive shear localization. The interconnection of inherited and newly formed weak, phyllosilicate-rich layers promoted the formation of bivergent detachments that rapidly exhumed a dome of previously ductile crust. Retrogressive weakening in a kilometer-wide ductile-to-brittle ‘processing zone’ may be essential for the formation of continental detachments.publishedVersio

Higher striatal glutamate in male youth with internet gaming disorder.

Internet gaming disorder (IGD) was included in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as a research diagnosis, but little is known about its pathophysiology. Alterations in frontostriatal circuits appear to play a critical role in the development of addiction. Glutamate is considered an essential excitatory neurotransmitter in addictive disorders. This study's aim was to investigate striatal glutamate in youth with IGD compared to healthy controls (HC). Using a cross-sectional design, 25 adolescent male subjects fulfilling DSM-5 criteria for IGD and 26 HC, matched in age, education, handedness and smoking, were included in the analysis. A structural MPRAGE T1 sequence followed by a single-voxel magnetic resonance spectroscopy MEGA-PRESS sequence (TR = 1500 ms, TE = 68 ms, 208 averages) with a voxel size of 20 mm3 were recorded on 3 T Siemens Magnetom Prisma scanner. The voxel was placed in the left striatum. Group comparison of the relative glutamate and glutamine (Glx) was calculated using regression analysis. IGD subjects met an average of 6.5 of 9 DSM-5 IGD criteria and reported an average of 29 h of weekly gaming. Regression analysis showed a significant group effect for Glx, with higher Glx levels in IGD as compared to HC (coef. = .086, t (50) = 2.17, p = .035). Our study is the first to show higher levels of Glx in the striatum in youth with IGD. The elevation of Glx in the striatum may indicate hyperactivation of the reward system in IGD. Thus, results confirm that neurochemical alterations can be identified in early stages of behavioral addictions

A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images

Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by arterial obstruction. The quality of collateral circulation has been established as a key factor in determining the likelihood of a favorable clinical outcome and goes a long way to determining the choice of a stroke care model. Though many imaging and grading methods exist for quantifying collateral blood flow, the actual grading is mostly done through manual inspection. This approach is associated with a number of challenges. First, it is time-consuming. Second, there is a high tendency for bias and inconsistency in the final grade assigned to a patient depending on the experience level of the clinician. We present a multi-stage deep learning approach to predict collateral flow grading in stroke patients based on radiomic features extracted from MR perfusion data. First, we formulate a region of interest detection task as a reinforcement learning problem and train a deep learning network to automatically detect the occluded region within the 3D MR perfusion volumes. Second, we extract radiomic features from the obtained region of interest through local image descriptors and denoising auto-encoders. Finally, we apply a convolutional neural network and other machine learning classifiers to the extracted radiomic features to automatically predict the collateral flow grading of the given patient volume as one of three severity classes - no flow (0), moderate flow (1), and good flow (2). Results from our experiments show an overall accuracy of 72% in the three-class prediction task. With an inter-observer agreement of 16% and a maximum intra-observer agreement of 74% in a similar experiment, our automated deep learning approach demonstrates a performance comparable to expert grading, is faster than visual inspection, and eliminates the problem of grading bias

A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images.

Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by arterial obstruction. The quality of collateral circulation has been established as a key factor in determining the likelihood of a favorable clinical outcome and goes a long way to determining the choice of a stroke care model. Though many imaging and grading methods exist for quantifying collateral blood flow, the actual grading is mostly done through manual inspection. This approach is associated with a number of challenges. First, it is time-consuming. Second, there is a high tendency for bias and inconsistency in the final grade assigned to a patient depending on the experience level of the clinician. We present a multi-stage deep learning approach to predict collateral flow grading in stroke patients based on radiomic features extracted from MR perfusion data. First, we formulate a region of interest detection task as a reinforcement learning problem and train a deep learning network to automatically detect the occluded region within the 3D MR perfusion volumes. Second, we extract radiomic features from the obtained region of interest through local image descriptors and denoising auto-encoders. Finally, we apply a convolutional neural network and other machine learning classifiers to the extracted radiomic features to automatically predict the collateral flow grading of the given patient volume as one of three severity classes - no flow (0), moderate flow (1), and good flow (2). Results from our experiments show an overall accuracy of 72% in the three-class prediction task. With an inter-observer agreement of 16% and a maximum intra-observer agreement of 74% in a similar experiment, our automated deep learning approach demonstrates a performance comparable to expert grading, is faster than visual inspection, and eliminates the problem of grading bias

SLOW: A novel spectral editing method for whole-brain MRSI at ultra high magnetic field.

PURPOSE At ultra-high field (UHF), B1 + -inhomogeneities and high specific absorption rate (SAR) of adiabatic slice-selective RF-pulses make spatial resolved spectral-editing extremely challenging with the conventional MEGA-approach. The purpose of the study was to develop a whole-brain resolved spectral-editing MRSI at UHF (UHF, B0  ≥ 7T) within clinical acceptable measurement-time and minimal chemical-shift-displacement-artifacts (CSDA) allowing for simultaneous GABA/Glx-, 2HG-, and PE-editing on a clinical approved 7T-scanner. METHODS Slice-selective adiabatic refocusing RF-pulses (2π-SSAP) dominate the SAR to the patient in (semi)LASER based MEGA-editing sequences, causing large CSDA and long measurement times to fulfill SAR requirements, even using SAR-minimized GOIA-pulses. Therefore, a novel type of spectral-editing, called SLOW-editing, using two different pairs of phase-compensated chemical-shift selective adiabatic refocusing-pulses (2π-CSAP) with different refocusing bandwidths were investigated to overcome these problems. RESULTS Compared to conventional echo-planar spectroscopic imaging (EPSI) and MEGA-editing, SLOW-editing shows robust refocusing and editing performance despite to B1 + -inhomogeneity, and robustness to B0 -inhomogeneities (0.2 ppm ≥ ΔB0  ≥ -0.2 ppm). The narrow bandwidth (∼0.6-0.8 kHz) CSAP reduces the SAR by 92%, RF peak power by 84%, in-excitation slab CSDA by 77%, and has no in-plane CSDA. Furthermore, the CSAP implicitly dephases water, lipid and all the other signals outside of range (≥ 4.6 ppm and ≤1.4 ppm), resulting in additional water and lipid suppression (factors ≥ 1000s) at zero SAR-cost, and no spectral aliasing artifacts. CONCLUSION A new spectral-editing has been developed that is especially suitable for UHF, and was successfully applied for 2HG, GABA+, PE, and Glx-editing within 10 min clinical acceptable measurement time

From Caledonian collapse to North Sea Rift: The extended history of a metamorphic core complex

Extensional systems evolve through different stages due to changes in the rheological state of the lithosphere. It is crucial to distinguish ductile structures formed before and during rifting, as both cases have important but contrasting bearings on the structural evolution. To address this issue, we present the illustrative ductile‐to‐brittle structural history of a metamorphic core complex (MCC) onshore and offshore western Norway. Combining geological field mapping with newly acquired 3‐D seismic reflection data, we correlate two distinct onshore basement units (BU1 and BU2) to corresponding offshore basement seismic facies (SF1 and SF2). Our interpretation reveals two 40 km wide domes (one onshore and one offshore), which both show characteristic kilometer‐scale, westward plunging upright folds. The gneiss domes fill antiformal culminations in the footwall of a >100 km long, shallowly west dipping, extensional detachment. Overlying Caledonian nappes and Devonian supradetachment basins occupy saddles of the hyperbolic detachment surface. Devonian collapse of the Caledonian orogen formed dome and detachment geometries. During North Sea rifting, brittle reactivation of the MCC resulted in complex fault patterns deviating from N‐S strike dominant at the eastern margin of the rift. Around 61°N, only minor N‐S faults (<100 m throw) cut through the core of the MCC. Major rift faults (≤5 km throw), on the other hand, reactivated the detachment and follow the steep flanks of the MCC. This highlights that inherited ductile structures can locally alter the orientation of brittle faults formed during rifting.publishedVersio

Gastroesophageal Junction and Pylorus Distensibility Before and After Sleeve Gastrectomy-pilot Study with EndoFlipTM.

Sleeve gastrectomy (SG) is the most frequently performed bariatric surgical intervention worldwide. Gastroesophageal reflux disease (GERD) is frequently observed after SG and is a relevant clinical problem. This prospective study investigated the gastroesophageal junction (GEJ) and pyloric sphincter by impedance planimetry (EndoFlipTM) and their association with GERD at a tertiary university hospital center. Between January and December 2018, patients undergoing routine laparoscopic SG had pre-, intra-, and postoperative assessments of the GEJ and pyloric sphincter by EndoFlipTM. The distensibility index (DI) was measured at different volumes and correlated with GERD (in accordance with the Lyon consensus guidelines). Nine patients were included (median age 48 years, preoperative BMI 45.1 kg/m2, 55.6% female). GERD (de novo or stable) was observed in 44.4% of patients one year postoperatively. At a 40-ml filling volume, DI increased significantly pre- vs. post-SG of the GEJ (1.4 mm2/mmHg [IQR 1.1-2.6] vs. 2.9 mm2/mmHg [2.6-5.3], p VALUE=0.046) and of the pylorus (6.0 mm2/mmHg [4.1-10.7] vs. 13.1 mm2/mmHg [7.6-19.2], p VALUE=0.046). Patients with postoperative de novo or stable GERD had a significantly increased preoperative DI at 40 ml of the GEJ (2.6 mm2/mmHg [1.9-3.5] vs. 0.5 mm2/mmHg [0.5-1.1], p VALUE=0.031). There was no significant difference in DI at 40 mL filling in the preoperative pylorus and postoperative GEJ or pylorus. In this prospective study, the DI of the GEJ and the pylorus significantly increased after SG. Postoperative GERD was associated with a significantly higher preoperative DI of the GEJ but not of the pylorus

Vascular Dynamics of Cerebral Gliomas Investigated with Selective Catheter Angiography, Perfusion CT and MRI

Purpose:: To assess if intratumoral blood circulation parameters from dynamic susceptibility contrast (DSC) MRI and dynamic CT deliver comparable results and to compare tumor-related changes in regional cerebral blood flow (rCBF) and regional cerebral blood volume (rCBV) with arterial, intratumoral, and venous transition detected with digital subtraction angiography (DSA). Patients and Methods:: Ten patients with cerebral gliomas were prospectively studied with DSC-MRI, dynamic CT and DSA. Tumor areas were segmented and perfusion maps for rCBF, rCBV, and mean transit time (MTT) were computed from DSC-MRI and dynamic CT. Arterial circulation time (ACT), intermediate circulation time (ICT), and venous appearance time (VAT) were measured with DSA. Asymmetry indices (AIs) were calculated for MRI- and CT-based perfusion values, for ICT and VAT and compared among each other. Results:: DSC-MRI and dynamic CT yielded comparable AI values for rCBF (MRI: 39.5 ± 20.4, CT: 36.0 ± 17.9, Pearson's correlation r2 = 0.91) and rCBV (MRI: 44.6 ± 20.9 vs. CT: 40.9 ± 16.3, r2 = 0.84). The MTT AI (MRI: -4.7 ± 11.2 vs. CT: -0.5 ± 10.4, r2 = 0.47) showed only a weak correlation. ICT correlated with rCBV (ICT: 38.4 ± 14.7, r2 = 0.59, and dynamic CT: r2 = 0.81) and VAT with rCBF (VAT: 31.7 ± 17.6, r2 = 0.73, and dynamic CT: r2 = 0.87), but not with MTT. Conclusion:: CT and MRI methods provide consistent information about tumor vascularity of cerebral gliomas in accordance with DS