bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving cardiac cine MRI using a deep learning-based ESPIRiT reconstruction with self attention
Authors: Jao Terrence , Sandino Christopher , Vasanawala Shreyas
Published: August 2024

A deep learning based ESPIRiT (DL-ESPIRiT) was recently proposed to reconstruct dynamic MRI data with higher reconstruction accuracy. However, the method still has difficulty resolving fine anatomic structures. We propose incorporating self-attention to the network using a computationally lightweight squeeze-excitation block (DL-ESPIRiT SE), which uses global information to select more important features while suppressing less important ones. We demonstrate improved reconstruction with DL-ESPIRiT SE, which is most pronounced during faster cardiac motion such as in ventricular ejection.
Automatic catheter tracking during cardiac MRI guided cardiac catheterization using deep learning
Authors: Neofytou Alexander , Kowalik Grzegorz , Neji Radhouene , Razavi Reza , Pushparajah Kuberan , Roujol Sébastien
Published: August 2024

A deep neural network trained on images with artificially generated catheter signal was developed and enables accurate detection of catheter signal under real-time conditions. Further investigations, with in-line integration, are now warranted to determine the benefit of this technique for improved catheter navigation.
Low field cardiac MR thermometry: feasibility at 0.55T
Authors: Mooiweer Ronald , Rogers Charlotte , Neji Radhouene , Razavi Reza , Roujol Sébastien
Published: August 2024

Low field strength MRI scanners are appealing for MR guided interventions because of their lower associated costs and increased compatibility with interventional devices. Cardiac PRFS thermometry shows promise for real-time guidance of ablation therapy of cardiac arrhythmias. In this study, initial characterization of cardiac PRFS thermometry at 0.55T was performed in 5 healthy volunteers by measuring the stability over time. The stability of thermometry was 1.6±0.8 °C in the myocardium, confirming feasibility at this field strength.
Hierarchical modelling of crossing fibres in the white matter
Authors: Rafipoor Hossein , Lange Frederik , Cottaar Michiel , Jbabdi Saad
Published: August 2024

Fibre orientation distribution function (fODF) estimation is usually applied independently for each subject. This can lead to inconsistent fODF estimation across subjects complicating tract-level (i.e., fixel-based) analysis. Here we propose a hierarchical model to extract consistent tract-specific metrics across subjects that permit group comparisons and the development of more reliable biomarkers for disease and biological processes.
Prospective motion correction improves gSlider accelerated diffusion imaging
Authors: Pine Kerrin , Edwards Luke , Schmidt Marianna , Damm Juliane , Wang Fuyixue , Huang Susie , Kirilina Evgeniya , Weiskopf Nikolaus
Published: August 2024

High resolution diffusion weighted imaging (DWI) is required to map cortical fibres and short association fibres in superficial white matter. The recently developed gSlider sequence allows high-resolution whole-brain DWI but is prone to motion-induced artefacts due to the long volume acquisition. We combined gSlider with prospective motion correction (PMC) using optical tracking to acquire high angular, high spatial resolution DWI. In three healthy participants, we demonstrated that PMC led to a reduction of motion artifacts, an increase of temporal SNR of around 15% and better estimates of fibre characteristics in the cortex and superficial white matter.
Synthetising myelin water fraction from T1-weighted and T2-weighted data: an image-to-image translation approach
Authors: Mancini Matteo , McNabb Carolyn , Jones Derek , Cercignani Mara
Published: August 2024

Myelin biomarkers are a fundamental tool for both neuroscience research and clinical applications. Despite several quantitative MRI methods available for their estimation, in several cases qualitative approaches are the only viable solution. To get the best of both the quantitative and qualitative worlds, here we propose an image-to-image translation method to learn the mapping between common routine scans and a quantitative myelin metric. To achieve this goal, we trained a generative adversarial network on a relatively large dataset of healthy subjects. Both the qualitative and quantitative results show good agreement between the predicted and the ground-truth maps.
Evaluation of neurotransmitter profiles in the Auditory Cortex in Children with Autism Spectrum Disorder
Authors: Baida Maria , Vaziri Sana , Lafontaine Marisa , Demopoulos Carly , Li Yi , Li Yan
Published: August 2024

In this study, we used an automated spectral prescription method that predefined the left and right auditory cortex to compare neurotransmitter concentrations between ASD and typically developing control (TDC) and evaluate their relationship to age, sex, and verbal abilities. We found metabolic differences in GABA+ concentrations between the left and right auditory cortex in TDC and ASD. However, no significance was found between TDC and ASD or between ASD with intact speech and impaired speech.
Obsessive-compulsive symptom-related brain connectivity associated with calcium homeostasis in first-episode drug-naïve schizophrenia
Authors: Zhang Qi , Sun Hui , Zeng Jiaxin , Wei Xia , Sun Huaiqiang , Liu Naici , Yang Chengmin , Zhang Wenjing , Dai Jing , Gong Qiyong , Lui Su
Published: August 2024

The present study recruited a Chinese Han cohort of first-episode patients with never-treated schizophrenia. Partial least squares regression was used to investigate the functional connectivity specifically related to obsessive-compulsive symptom and the results mainly involved the frontal lobe, insula, temporal lobe, and Rolandic operculum. Using association rules, we dug that Calcium level exhibited a bidirectional effect with the strength of the connection between the right Rolandic operculum and the right insula, especially regarding PCDHGB1 expression in the right Rolandic operculum.
Blood Oxygen Level-Dependent Imaging in Peripheral Artery Disease: Feasibility and Reproducibility of perfusion measurements
Authors: Yu Xiaoxi , Liu Zhaoxi , Qu Jianxun , Wang Fengdan , Lai Zhichao , Fan Xiaoyuan , Ye Luming , Shao Jiang , Zhang Yan , Liu Bao , Jin Zhengyu , Feng Feng
Published: August 2024

This study used blood oxygen level-dependent (BOLD) imaging to assess the hemodynamics of the lower limbs among elder controls and patients with peripheral artery disease (PAD). The BOLD-derived perfusion parameters, such as time to peak and gradient during reactive hyperemia, showed good reproducibility and significantly differed between patients and controls. The results indicated decreased vasodilatation ability and perfusion levels in patients with PAD. Therefore, BOLD imaging can be a feasible perfusion assessment method for long-term noninvasive PAD monitoring.
Data-driven clustering for ECG-free cine MRI with robustness against irregular cardiac motion
Authors: Ming Zhengyang , Pogosyan Arutyun , Christodoulou Anthony , Finn J. Paul , Ruan Dan , Nguyen Kim-Lien
Published: August 2024

Both ECG-gating and self-gated approaches are used for cardiac motion binning in segmented cardiac cine MRI. Typical self-gated methods reduce ECG-dependency by assuming periodic cardiac motion, but may be less reliable in the presence of irregular cardiac motion. We propose a novel clustering algorithm that incorporates regularization in both temporal and cluster dimension to provide robustness against irregular cardiac motion in complex arrhythmias such as atrial fibrillation and premature ventricular contraction. Compared with images from k-means clustering, initial validation using the modified algorithm shows higher image quality scores with comparable single-to-noise ratio (SNR) and image sharpness.
CNNT denoising for cine imaging at 0.55T with higher acceleration rates
Authors: Xue Hui , Javed Ahsan , Ramasawmy Rajiv , Rehman Azaan , Kellman Peter , Campbell-Washburn Adrienne
Published: August 2024

Low field MRI systems are promising to increase the accessibility of cardiac MRI, at the expense of lower SNR. Here, we present the application of a g-factor-savvy denoising for cine imaging at 0.55T to increase useable acceleration rate. We used a model that combines convolutional neural networks and transformer model. The denoising network uses complex 2D+time images in SNR-units and g-factor maps as inputs and was trained with 3T data. The percent mean myocardial SNR gain at 0.55T across 9 healthy volunteers was 97±31% (R=2) and 122±22% (R=3), with no indication of overt temporal or spatial smoothing.
Implicit Regularization for Improving Phase-based EPT with Stein’s Unbiased Risk Estimator
Authors: Cui Chuanjiang , Jung Kyu-Jin , Kim Jun-Hyeong , Kim Dong-Hyun
Published: August 2024

Phase-based EPT algorithm is extremely sensitive to noise. Although various denoising algorithms have been introduced to suppress noise amplification, residual artifact cause instability conductivity error or broadening boundary artifact. In this work, we propose a novel generative network trained with Stein’s unbiased risk estimator under the purely unsupervised learning framework, which improve the performance of phase-based conductivity reconstruction algorithms. In addition, the proposed method does not need any dataset for training neural network and not require any prior information for designing explicit regularization.
Simultaneous Estimation of Electrical Properties and Incident Fields Using Global Maxwell Tomography with B1+ and MR Signal Data
Authors: Serralles Jose , Giannakopoulos Ilias , Guryev Georgy , Daniel Luca , Lattanzi Riccardo
Published: August 2024

We propose a novel approach to electrical property (EP) estimation that also estimates the incident fields generated by a coil, by solving a basis pursuit problem. We also propose a novel Global Maxwell Tomography (GMT) formulation that uses the MR signal instead of $$$B_1^+$$$. We tested our approach experimentally by reconstructing the average EP of a homogeneous cylinder. We obtained < 5% estimation error using only $$$B_1^+$$$ data obtained from MR Fingerprinting. We then estimated the receive sensitivity maps $$$B_1^-$$$ by using the new signal-based GMT.
Automatic Aorta Quantification and Aneurysm Detection using 3D Deep Learning on Large-scale Non-Cardiac-Gated MRI
Authors: Nguyen Thanh-Duc , Garg Saurabh , Akbari Nasrin , Basar Saqib , London Sean , Chodakiewitz Yosef , Attariwala Rajpaul , Hashemi Sam
Published: August 2024

We present a validated AI technique for quantification of whole aorta diameter from non-cardiac-gated MRI. The mean absolute error between AI-predicted and radiologist-reported diameter is less than 0.27 and 0.249 cm, while Pearson correlation is 0.72 for the ascending (p-value=0.0002) and 0.74 for the descending aorta (p-values=0.0012). SVM classifiers indicated that a 3.15 cm (AUC=0.93) threshold is used to detect a descending aortic aneurysm while a 4.3 cm (AUC=0.92) threshold is used for ascending aortic aneurysm. Large-scale analysis on 3485 individuals showed aortic diameter to increase with age in male and female populations.
Quantitative DCE-MRI parameter estimation using Deep Learning Framework in the Brain Tumor Patients
Authors: Prajapati Piyush , Gupta Rakesh , Singh Anup
Published: August 2024

Tracer Kinetic (TK) parametric maps are obtained from Dynamic Contrast Enhanced (DCE) - MRI which aid in the detection and grading of brain tumors. Conventionally, TK maps are obtained using Non-Linear-Least-Square (NLLS) fitting approach, which is time consuming and data noise. In the current study, we implemented a deep learning framework whose backbone is attention networks to estimate TK parametric maps. Transfer learning was performed to extend work from synthetic data to high-grade glioma (HGG) patients’ DCE-MRI data to obtain better quality TK maps in lesser time.
N-acetylaspartate and myo-inositol provide complementary information for lateralization of mesial temporal lobe epilepsy
Authors: Huang Hui , Zhang Miao , Cai Bingyang , Yuan Siyu , Jin Wen , Li Yudu , Zhao Yibo , Liang Zhi-Pei , Li Yao , Li Biao , Luo Jie
Published: August 2024

Lateralization of drug refractory mesial temporal lobe epilepsy can be challenging for routine MR scans at 3.0T. Exogenous and radioactive tracer 18F-FDG has been widely reported to aid the lateralization of MR unidentifiable epileptic hippocampus. 1H-MRSI holds promise to provide endogenous metabolic information of the epileptogenic zone. This study demonstrated the feasibility of fast high-resolution mapping of NAA/Cr, mIn/Cr and mIn/NAA, and investigated their associations with the FDG uptake. Our experimental results showed that NAA and mIn were independently sensitive to metabolic changes in hippocampal sclerosis, providing complementary information for temporal lobe epilepsy lateralization.
Connectome gradient dysfunction in benign childhood epilepsy with centrotemporal spikes: Initial discovery
Authors: Chen Guiqin , Hu Jie , Ran Haifeng , Liu Heng , Zhang Tijiang
Published: August 2024

Large-scale brain network abnormalities and cognitive impairment in patients with benign childhood epilepsy with centrotemporal spikes (BECTS). And cognitive function needs hierarchical interaction support between brain-collateral systems. Whether there are changes in the interaction and functional arrangement between different network systems in patients with BECTS still ambiguous. The purpose of this study is to use the method of gradient connection to investigate the changes of macro-network function hierarchy of BECTS and its potential contribution to cognitive function in BECTS children .
Diffusion spectrum imaging study of cognitive and emotional related structural network in patients with temporal lobe epilepsy
Authors: Li jiachen , Zhang jing , Hu wanjun , Liu guangyao , Zhou liang , Ai kai
Published: August 2024

To investigate the relationship between changes in brain networks and changes in emotion and cognition in patients with temporal lobe epilepsy. We used Diffusion spectrum imaging to construct structural brain networks. Then graph-theoretical analysis was applied to estimate structural connectivity and network properties in temporal lobe epilepsy (TLE) patients. Our study found that the brain network connectivity is altered and this alteration is associated with cognitive decline in TLE patients. This result offers a complementary understanding of neuropathology mechanism of TLE and its related cognition alteration, which may be helpful for clinical diagnosis and prognosis evaluation.
Detection of Lesions in Focal Epilepsy by Asymmetry Analysis of MR Fingerprinting
Authors: Li Yuting , Geng Leiyu , Ge Hong , Zhang Wenbo , Wu Siyuan , Ju Shenghong
Published: August 2024

Conventional MRI is limited in diagnosis of subtle epileptic lesions. Therefore, this study aimed to localize epileptic lesions by using MRF technology. Twenty epilepsy patients were included which underwent T1, T2 and MRF examinations. The MRI were spatially normalized to the symmetric ICBM-152 template, followed by transformation of T1 and T2 MRF maps. Absolute asymmetric index (|AI|) analysis was then performed on T1 and T2 MRF maps to detect epileptic lesions. Results showed that the |AI| analysis can detect epileptogenic foci in 75% of patients. In conclusion, the asymmetry analysis could help improve epileptic focus localization in clinical practice.
A Pre-Prepared, Low-Cost, Mass-Produced Phantom Regulated by the Food Standards Agency for Assessing Imaging Characteristics within MRI
Authors: Axford Aaron , McGing Jordan , Rua Catarina , Symms Mark , Tyler Damian , Grist James
Published: August 2024

A potential low-cost quantitative MR image assessment phantom was investigated by calculating relaxation times and the magnetization transfer ratio over multiple scans. An imaging protocol comprised of an inversion recovery sequence with varying inversion times, a spin echo with varying echo times, and an Enhanced Fast Gradient Echo 3D sequence with and without a magnetization transfer pulse, was developed and used to acquire images of the phantom, a block of store-bought jelly. The imaging data was used to calculate a T1 time of 109±1ms, a T2 time of 12.8±0.2ms, and an MTR value of 17.4±0.2%.
An open-source platform for simulating internal organ motion: Preliminary results
Authors: Solomon Eddy , Alon Leeor
Published: August 2024

Motion-correction techniques require an objective quantitative assessment under controlled conditions. In this work, we present an open-source platform for simulating internal ‘organ’ motion under realistic scan conditions. The phantom was composed of two partitions which include a high-resolution inner compartment translated in space using a Lorentz force, within a larger body-like second compartment. The motion phantom was controlled using custom-made software and was tested with a radial MR sequence, demonstrating motion-resolved capabilities.
Colloidal Cell Mimics as Reference System for Diffusion MRI Experiments
Authors: Jeddeloh Henrik zu , Ludwig Dominik , Rauch Julian , Laun Frederik , Ladd Mark , Klika Karel , Kuder Tristan
Published: August 2024

In order to verify modern diffusion MRI sequences, a well-defined reference system consisting of polymerized, hollow microspheres with a hole in the surface is synthesized. This reference system can model the diffusion properties of cells with varying size1,3 and membrane permeability2. To produce these cell mimics3, tripropyleneglycol-monomethylether monomer was mixed with an ammonia solution with polystyrene particles to initiate a nucleation process. The droplets were inflated in an NaOH solution and then hardened under UV exposure. Lastly, the polystyrene particles were dissolved. Scanning Electron Microscope images and DWI measurements were acquired to verify the quality of the cell mimics.
Enhancing, Manipulating or Canceling Magnetic Fields in the Distance via Meta Materials for B0-Shimming in Brain MR Imaging
Authors: Hingerl Lukas , Strasser Bernhard , Hangel Gilbert , Motyka Stanislav , Niess Fabian , Niess Eva , Lipka Alexandra , Goranovic Dario , Lazen Philipp , Gruber Stephan , Trattnig Siegfried , Bogner Wolfgang
Published: August 2024

Metamaterials enabling magnetic replicators for $$$B_0$$$ shimming as well as for transcranial magnetic stimulation may overcome traditional methods especially concerning locality of field manipulation, field enhancement or cancellation in the distance in real-time by current tuning.
The impact of data normalization and plane view in deep learning for classifying multiple sclerosis subtypes using MRI scans.
Authors: Soleymani Mahshid , Zhang Yunyan , Bento Mariana
Published: August 2024

Disease activity varies between patients with multiple sclerosis (MS), and patients who have a greater risk of developing a progressive course require more aggressive therapies earlier. However, differentiating disease severity is challenging using conventional methods as the disease often progresses silently. By taking advantage of one of the most advanced quantitative methods, convolutional neural networks, we aim to develop a new deep learning model to differentiate two common MS subtypes: relapsing-remitting course from secondary progressive phenotype. This study focuses on varying image pre-processing techniques and using different data views using conventional brain MRI.
Super-Resolution Magnetic Resonance Fingerprinting
Authors: Mizrachi Judith , Barbieri Marco , Chaudhari Akshay , Gold Garry
Published: August 2024

We introduce a novel approach, Super-Resolution Magnetic Resonance Fingerprinting (SR-MRF), which is a combination of an optical super-resolution microscopy method, Super-resolution Optical Fluctuation Imaging (SOFI) and MR-Fingerprinting. Our preliminary results in simulated MRF data demonstrate both 2-fold resolution improvement, as demonstrated by point spread function (PSF) analysis, and tissue-type segmentation. This technique represents an original crossover between the fields of MR-imaging and super-resolution microscopy, and lays the groundwork for other such techniques to follow.
Geometrical Decoupling using Clip-path Conductor for 7T Transceiver Coil Array
Authors: Nam Taewoo , Jeong Yonghwa , Seo Minyeong , Lee Eunwoo , Son Junseong , Lee Taekwan , Noh Young , Kim Donghyuk , Hernandez Daniel , Kim Kyoung-Nam
Published: August 2024

We propose new geometrical decoupling method using clip-path conductor (CPC) to reduce the mutual coupling between individual elements in RF coil array. The 8-element CPC transceiver array was constructed based on electromagnetic (EM) simulation and applied to whole brain imaging at 7T.
Longitudinal MRI study of white matter in multiple sclerosis using surrogates measures of myelin and axonal damage.
Authors: Diaz Gretel Sanabria , Melie-Garcia Lester , Lu Po-Jui , Barakovic Muhamed , Pineda Mario Alberto Ocampo , Chen Xinjie , Weigel Matthias , Siebenborn Nina , Jiménez Esther Ruberte , Cagol Alessandro , Galbusera Riccardo , Lutti Antoine , Kuhle Jens , Kappos Ludwig , Granziera Cristina
Published: August 2024

Damage to the myelin sheath and the neuroaxonal unit are features of multiple sclerosis, as well as reparative processes for both. However, a detailed characterization of the dynamics of those in vivo is challenging. In this longitudinal study, we applied a multi-contrast quantitative MRI approach to disentangle lesion progression in vivo in patients with MS. The microstructural measures were compared between multiple sclerosis groups (55 relapsing-remitting, 24 progressive) and 34 healthy controls. Our results indicate changes in microstructural MRI measures in white matter lesions and normal appearing tissue related to myelin and axonal integrity in RRMS and PMS.
Measurement of Sound Pressure Level (SPL) at 3T and 7T for optimization of Quiet Dynamic Zero Echo Time (ZTE) MRI
Authors: Hanson Joshua , Holmes James , Magnotta Vincent , Corum Curtis
Published: August 2024

This abstract aims to provide a general method of measuring the acoustic noise produced by a scanning protocol and to present the acoustic differences in absolute sound pressure level. To demonstrate these methods we show results using conventional Cartesian and acoustically quieter ZTE based protocols on 3T and 7T systems.
Whole-brain connectivity in patients with Pediatric Cerebellar Ataxia
Authors: Marchese Silvia , Palesi Fulvia , Bruzzone Mariagrazia , Nigri Anna , Pantaleoni Chiara , Wheeler-Kingshott Claudia Gandini , D'Arrigo Stefano , D'Angelo Egidio , Cavallari Paolo
Published: August 2024

For the first time, brain networks of pediatric cerebellar ataxic patients were characterized in order to explain the different postural motor behavior of subjects suffering from non-progressive and slow-progressive illness. This work revealed volume differences in several cerebellar regions and specific alterations of white matter tracts. This result reinforces the hypothesis of the existence of a compensatory strategy which may involve cortical areas and basal ganglia to compensate for cerebellar deficits.
Functional Brain Alterations in Children with Autism Spectrum Disorder after Fecal Microbiota Transplantation
Authors: Zhou Di , Hua Ting , Zhao Xiance , Tang Guangyu
Published: August 2024

MRI is an important tool available to detect brain functional and structural abnormalities of autism spectrum disorder (ASD) patients. In this study, we combined fecal microbiota transplantation (FMT) and neuroimages to follow-up and explore the change in functional activity in children with ASD. The combination of FMT and MRI can provide a new imaging perspective for understanding the neural mechanism of gut microbiota in ASD.
Comparing reliability of BOLD cerebrovascular reactivity of end-tidal pCO2 versus mean cerebellar signal regression in pediatric moyamoya.
Authors: Srinivasan Srivats , Lehman Laura , Swanson Julie , Orbach Darren , Stout Jeffrey
Published: August 2024

We compared the reliability of BOLD CVR (cerebrovascular reactivity) between two regression approaches – etpCO2 signal and average cerebellar signal – in pediatric moyamoya patients. We estimated CVR using a lagged optimized GLM model, conducted cortical parcellation, and compared left-right hemispheric CVR differences to clinical and imaging reports. We found that etpCO2 had poorer fits during regression compared to the cerebellar approach (p<0.0001) and incorrectly identified disease laterality in 2/8 patients. These effects were strongly observed in subjects with poor breath-hold task compliance, indicating that the cerebellar approach is more reliable for studies of young pediatric moyamoya patients.
A highly automated experimental setup to perform PHIP via proton exchange with high pressure and high reproducibility at various magnetic fields
Authors: Kuhn Jule , Them Kolja , Hövener Jan-Bernd
Published: August 2024

The PHIP-X methodology is a novel approach to produce contrast agents for metabolic MRI by hyperpolarization and combines the high polarization resulting from pH2 addition with the versatility of proton exchange. However, the polarization yield and reproducibility have to be improved. The proposed setup provides reproducible and well controlled experimental conditions for PHIP-X, including a pH2 pressure of up to 100 bar and a magnetic field of up to 95 mT. Using this setup allowed to reach high 1H polarizations of the transfer agent and to transfer the polarization to 13C in the target molecule glucose successfully.
Spatial Correspondence Between fMRI and Frequency-Specific Electrophysiological Networks in Treatment Resistant Depression
Authors: Sabetfakhri Niki , Fan Joline , Slepneva Natalya , Motzkin Julian , Morrison Melanie , Sugrue Leo , Krystal Andrew , Lee A Moses
Published: August 2024

Here, we obtained pre-operative fMRI and intracranial recordings from two subjects with treatment-refractory depression undergoing stereoencephalography as part of a DBS study. Intracranial recordings were obtained from leads bilaterally implanted in the orbitofrontal cortex, subgenual cingulate, ventral striatum, hippocampus, and amygdala. fMRI-based resting-state functional connectivity (RSFC) was calculated for ROIs defined by the recording sites. We identified significant spatial correlations between power bandpassed in canonical frequency bands and fMRI RSFC. Correlations between both modalities were highest within the beta band. These data suggest that it is possible to map between networks defined by fMRI and intracranial electrophysiology.
7-Tesla in-vivo 1H-magnetic resonance spectroscopy of glutamate and GABA in 22q11.2 copy number variants.
Authors: Serrarens Chaira , Tse Desmond , Steijvers-Peeters Esther , Brouwers Kim , Linden David , Vingerhoets Claudia , van Amelsvoort Therese
Published: August 2024

22q11.2 copy number variants (22q11.2 CNVs) are associated with either an increased or a reduced risk of developing psychotic disorders and impaired cognitive functioning. Glutamatergic and GABAergic pathways are hypothesized to be disrupted in 22q11.2 CNV patients. Although a balance between glutamate and GABA is necessary for optimal brain functioning, to date, GABA has not been studied in 22q11.2 CNVs. Here, we investigated glutamate and GABA concentrations in the anterior cingulate cortex in patients with 22q11.2 CNVs using 7-Tesla 1H-MRS. Our results showed no significant differences in glutamate and GABA concentrations between 22q11.2 CNV patients and healthy controls.
Radomics Model and Deep Learning Model Based on T1WI Image for Acute Lymphocytic Leukemia Identification
Authors: Yi Ting , Tang Hui , Chen Yuanbin , Cai Qifang , Zhang Huiting , Wei Weian , Jin Ke
Published: August 2024

This study investigated the feasibility of radomics model and deep learning model Based on T1WI image for acute lymphocytic leukemia identification. The results showed that both radomics model and deep learning model can effectively distinct ALL children and normal children. And radomic model is better.
Dog breed size versus brain size and its inferences, and canine pathology case studies
Authors: Luchow Shiami
Published: August 2024

Colloquially intelligence is correlated to brain size. Although not accurate in humans, is this true in dogs? Dogs are diverse in shapes and sizes and are bred for their unique abilities and behavioural characteristics. However, during clinical MRI examinations, it was clear that although the body mass ranged from approximately 1kg to over 100kg in different breeds, the brain size did not vary drastically. This study will analyse the neurocephalic index of different breeds of dogs to evaluate if this correlates with the dog breeds’ unique abilities.
Reducing contrast agents’ residuals in hospital wastewater: the GREENWATER study
Authors: Zanardo Moreno , Asmundo Luigi , Capra Davide , Colarieti Anna , Cozzi Andrea , Cressoni Massimo , Magni Veronica , Monti Caterina , Sardanelli Francesco
Published: August 2024

In order to provide preliminary data about the potential reduction of contrast agents’ residuals in hospital wastewater and to estimate contrast agent excretion in the first hour after administration, the GREENWATER study aims to prospectively monitor over a 12-months timeframe the quantity of retrievable ICAs and GBCAs from urine collected from outpatients within an hour from contrast agent administration, also evaluating the influence of patient age and sex and the overall rate of acceptance to participate to the study. Our current purpose is to provide a first glance on this initial experience.
Prognostic role of right ventricular late gadolinium enhancement in patients with Tetralogy of Fallot undergoing pulmonary valve replacement
Authors: Zanardo Moreno , Monti Caterina , Capra Davide , Giambersio Emilia , Lastella Giulia , Guarnieri Gianluca , Amato Gaetano , Secchi Francesco , Sardanelli Francesco
Published: August 2024

Our purpose was to evaluate the correlations between right ventricular (RV) late gadolinium enhancement (LGE) at cardiac magnetic resonance (CMR) in patients with Tetralogy of Fallot (ToF) scheduled for pulmonary valve replacement (PVR) and post-PVR functional data. After assessing a semiquantitative LGE scoring for the RV, we observed a correlation between such score and RV post-PVR outcomes appraised at CMR. The assessment of RV LGE before PVR may provide prognostic insights on post-PVR functional outcomes, potentially facilitating a patient-tailored treatment pathway.
Improving the patient experience for paediatrics in Magnetic Resonance Imaging through Play Therapy.
Authors: Swain Charlotte , Costigan Carolyn , Rowe Selene
Published: August 2024

Play Therapy has been shown to be a successful alternative for children allowing them to have an MRI scan awake instead of with a general anaesthetic. With funding through local hospital charities, a dedicated Play Specialist List runs once a week to scan predominantly 3-13yr olds. With fun and engaging play methods, it has been possible to acquire diagnostic images in 98% of children scanned. With no risk when compared to a general anaesthetic and a more relaxed atmosphere and process, this has vastly improved the patient experience, for not only the children, but also their parents/carers.
EFFICACY OF TETRAHYDROCANNABINOL-RICH CANNABIS OINTMENT IN A CHILD WITH RECCESSIVE DYSTROPHIC EPIDERMOLYSIS BULLOSA: CASE REPORT
Authors: GONDIM DIAS DE ALBUQUERQUE KATY LÍSIAS , Bronzeado Cahino Moura de Almeida Igor , Antão Marques Daniela Karina , Trigueiro Maia Mariama , O. Lucena Laise , De Gusmão Sampaio Patrícia , Da Silveira Rodrigues Paiva Renata
Published: August 2024

Epidermolysis Bullosa (EB) is characterized by epithelial fragility with blistering and the presence of pain and chronic pruritus. Studies demonstrate the potential of cannabinoids in the treatment of dermatological disorders, presenting anti-inflammatory action, pruritus control, and analgesic effect. In addition, two case series of patients with EB demonstrated positive results with both topical and systemic use of cannabinoids. OBJECTIVES: to evaluate the therapeutic efficacy of the topical use of a tetrahydrocannabinol-rich (THC) Cannabis sativa ointment in a patient with EB. METHODS: this is the case report of a 4-year-old female patient with recessive dystrophic EB. Two similar chronic wounds were chosen, in which one was treated with the placebo and the other treated with the THC-rich Cannabis ointment. The influence on healing and on pain and pruritus symptoms was evaluated for 28 days. After this period, the blinding status was removed and, due to the results achieved, it was decided to continue the application of the THC-rich Cannabis ointment in both lesions. RESULTS: The THC-rich Cannabis sativa ointment improved the wound healing process and the control of pain and pruritus when compared to placebo. CONCLUSIONS: The use of the THC-rich Cannabis ointment was effective in the healing process of the chronic wounds presented by the patient. A positive effect was also observed in relation to pain, pruritus, and improvement in the overall quality of life.
CANNABIS NA DOR CRÔNICA INTRATÁVEL CAUSADA POR RETROPULSÃO DE IMPLANTE METÁLICO CERVICAL: RELATO DE CASO
Authors: Ribeiro Issy Sarah , Teixeira Costa Simon , Silva Lobo Nayara , Oliveira Santos Vinícius
Published: August 2024

Nas cirurgias de coluna, especialmente, cervical, são adotadas técnicas e abordagens para minimizar riscos de lesão a estruturas circunvizinhas, com o intuito de auxiliar a colocação precisa de implantes metálicos e evitar danos a essas estruturas. A lesão esofágica associada a neuropatia craniana poderia decorrer de uma complicação secundária à lesão ou à intervenção cirúrgica na coluna cervical. Projeto aprovado pelo Comitê de Ética em Pesquisa (CEP) Leide das Neves Ferreira, parecer número 6126359. O presente artigo se compromete em apresentar, na forma de relato, um caso de compressão de raiz cervical submetido a tratamento cirúrgico, que evoluiu com complicações no pós-operatório envolvendo dor crônica, lesão esofágica por material de síntese e perda de função causada por lesão de nervos cranianos.  Tendo em vista que os efeitos terapêuticos da planta Cannabis envolvem ação analgésica, anti-inflamatória e neuroprotetora, esse foi o tratamento proposto e realizado para o caso. Os autores definem como objetivo primário discutir os possíveis efeitos terapêuticos da Cannabis em um caso raro de dor crônica intratável, lesão esofágica e neuropatia craniana após abordagem cirúrgica na coluna cervical.
Peran service quality memediasi pengaruh customer value dan brand experience terhadap repurchase intention di kantor pusat PTNJM Bali
Authors: Nurfakih Shafa Ajeng Wulandari , Waelan Waelan , Rangkuti Agus Edy
Published: August 2024

Sensitivity to the effects of customer value and brand experience by customers in increasing repurchase intention by maximizing the effectiveness of service quality needs to be considered so that it is consistent in implementation. The thesis entitled "The Role of Service Quality Mediating Customer value and Brand experience on Repurchase Intention at Head Office of PTNJM Bali” is explanatory research with a quantitative approach. Researchers also want to know how much the independent variables contribute to the dependent variable which is also through the mediating variable. The data collection method used in this research was distributing questionnaires, observations and interviews with 100 respondents whose data was analysed using SPSS Version 29 and Smart PLS Version 3. Sampling used a nonprobability sampling method with purposive sampling technique. The results of the research can be concluded: (1) there is no positive and significant influence between Customer value on Repurchase Intention. (2) there is a positive and significant influence between Brand experience on Repurchase Intention. (3) there is a positive and significant influence between Service Quality on Repurchase Intention. (4) there is no positive and significant influence between Customer value on Repurchase Intention which is mediated by Service Quality. (5) there is no positive and significant influence between Brand experience on Repurchase Intention which is mediated by Service Quality.
STRATEGI GURU PENDIDIKAN AGAMA ISLAM DALAM MENINGKATAKAN KECERDASAN SPIRITUAL PESERTA DIDIK DI SMAN 5 KUPANG
Authors: Nuraini Hamzah  , Anton  , Fazlur Rahman
Published: August 2024

Tujuan dari penelitian ini adalah : (1) Untuk mengetahui Bagaimana Strategi Guru Pendidikan Agama Islam dalam meningkatkan kecerdasan spiritual peserta didik di SMAN 5 Kota Kupang (2) untuk mengetahui faktor pendukung dan penghambat Guru Pendidikan Agama Islam dalam meningkatkan kecerdasan spiritual peserta didik di SMAN 5 Kota Kupang.
Pendekatan penelitian yang digunakan dalam penelitian ini adalah pendekatan kualitatif.
Hasil penelitian adalah (1) strategi yang digunakan Guru Pendidikan Agama Islam dalam meningkatkan kecerdasan spiritual peserta didik yaitu dengan memberikan pembiasaan-pembiasaan keagamaan sebelum memulai proses pembelajaran. Seperti : melaksanakan sholat dhuha, membaca Al-Quran dan juga mengikutsertakan peserta didik di berbagai kegiatan-kegiatan  keagamaan agar meningkatkan kecerdasan spiritulanya. Bukan hanya itu Guru Pendidikan Agama Islam Juga menanamkan nilai-nilai spiritual dengan memberikan motivasi-motivasi terhadap peserta didik. (2) Faktor-faktor yang mendukung penerapan strategi Guru Pendidikan Agama Islam dalam meningkatkan kecerdasan spiritual peserta didik yaitu : Peran kepala sekolah, Peran orang tua dan Peran Guru-guru agama islam. Namun faktor penghambatnya antara lain sebagai berikut: Beberapa siswa yang belum memahami ajaran agama, jumlah guru dengan siswanya tidak proporsional dan sarana prasarana yang tidak memadai.
Social Media Marketing Influence Analysis Brand Image: Product Quality Perception and Trust in Consumer Buying Interest in Mie Sedap Cup Products
Authors: Falakh Muhammad Fatkhan
Published: August 2024

This research was conducted on Sedaap cup noodle products produced by PT. WingsFood. From the data above, it shows that there has been a decline in the Top Brand Index for Mie Sedaap Cup products, especially from 2019-2022 or the last 4 years. This indicates that consumer buying interest is inconsistent and tends to decline, so it is of course interesting to research what factors influence consumer buying interest in Mie Sedaap Cup products. This research aims to find out the influence of social media marketing, brand image, product quality and trust on consumer buying interest in purchasing Mie Sedap Cup products. The sample for this research was 115 respondents, using purposive sampling or judgmental sampling techniques, namely a method of taking samples using criteria. The criteria that can be used as samples in this research are consumers who have purchased Sedaap Cup noodle products, are at least 17 years old and live in the city of Semarang. The data analysis method used in this research is multiple linear regression. The research results found that social media marketing had a positive and significant effect on consumer buying interest, brand image had a positive and significant effect on consumer buying interest, product quality had a positive and significant effect on consumer buying interest and trust had a positive and significant effect on consumer buying interest.
Dinamika Makanan Tradisional Bombo Latung
Authors: Balun Marselinus , Aryanto Bessie Polce
Published: August 2024

Bombo latung berbahan dasar jagung yang di tumbuk. Makanan tradisional Bombo latung biasanya orang dulu disajikan sebagai makanan utama sebelum melakukan aktivias karena orang dulu beras hanya dimiliki oleh orang kaya. Bombo latung bisa di jadikan sebagai bekal anak sekolah pada zaman dulu, dalam bahasa Manggarainya yaitu “Bokong de anak sekola” Bokong di artikan sebagai bekal. Konsep yang digunakan yaitu dinamika dan makanan tradisional bombo latung. Metode yang dipakai  dalam penelitian ini yaiu kualitatif dengan model penelitian etnografi melalui teknik observasi, wawancara dan dokumentasi. Makanan tradisionl Bombo latung mengalami dinamika diakibatkan oleh beberapa faktor seperti parawisata, ekonomi dan budaya. Meskipun demikian  makanan tradisional Bombo latung ini masih dijaga kelestariannya oleh hotel Meruorah Komodo Labuan Bajo. Selain makanan tradisional  Bombo latung bersifat budaya, makanan tradisional ini disajikan secara terbuka. Makanan tradisional Bombo latung secara terbuka disajikan kepada para wisatawan yang datang menginap maupun hanya sekedar berkunjung ke Meruorah Komodo Labuan Bajo
Penerapan Model Problem Based Learning Untuk Meningkatkan Hasil Belajar Bahasa Indonesia Pada Siswa Kelas 1 SDN Dukuh Kupang V-534 Surabaya
Authors: N.H M Firmansyah , Yuanta Friendha , Juwariyah Siti , Sudiartini Rini
Published: August 2024

Penelitian ini bertujuan untuk meningkatkan hasil belajar Bahasa Indonesia siswa kelas 1 di SDN Dukuh Kupang V-534 Surabaya melalui penerapan model pembelajaran Problem Based Learning (PBL). Penelitian ini menggunakan metode Penelitian Tindakan Kelas (PTK) yang terdiri dari dua siklus. Setiap siklus mencakup tahap perencanaan, pelaksanaan, observasi, dan refleksi. Data dikumpulkan melalui lembar observasi, tes hasil belajar, dan angket. Hasil penelitian menunjukkan bahwa penerapan model PBL dapat meningkatkan hasil belajar siswa. Hal ini ditunjukkan oleh peningkatan nilai rata-rata post-test dari 70 pada siklus pertama menjadi 85 pada siklus kedua. Selain itu, partisipasi dan keterlibatan siswa dalam proses pembelajaran juga meningkat secara signifikan. Model PBL mendorong pengembangan keterampilan berpikir kritis, kreatif, dan kolaboratif siswa. Dengan demikian, penerapan model PBL efektif dalam meningkatkan hasil belajar Bahasa Indonesia siswa kelas 1. Guru disarankan untuk terus mengembangkan dan menerapkan model pembelajaran ini untuk mencapai hasil yang optimal.
Pengaruh Profitabilitas dan Ukuraan Perusahaan pada Harga Saham Perbankan 2012-2018
Authors: Wardhana Muhammad Ridha , Swandari Fifi , Sadikin Ali
Published: August 2024

Laporan keuangan yang disusun secara baik dan akurat dapat memberikan gambaran keadaaan yang nyata mengenai hasil atau prestasi yang telah dicapai oleh suatu perusahaan selama kurun waktu tertentu, keadaan inilah yang digunakan untuk menilai kinerja keuangan. Apalagi informasi mengenai kinerja keuangan suatu perusahaan sangat bermanfaat untuk berbagai pihak seperti investor, kreditur, pemerintah, bankers, pihak manajemen sendiri dan pihak-pihak lain yang berkepentingan. Tujuan dari penelitian ini adalah menganalisis pengaruh Net Profit Margin (NPM), Return On Equity (ROE), dan ukuran perusahaan terhadap harga saham Perbankan 2012-2018, sehingga dapat menjadi tolak ukur bagi investor dalam berinvestasi. Penelitian ini termasuk dalam jenis penelitian kausal komparatif, yaitu tipe penelitian dengan karakteristik masalah berupa sebab akibat antara dua variabel atau lebih. Berdasarkan sumber data penelitian ini termasuk dalam jenis penelitian sekunder yaitu suatu penelitian dimana peneliti tidak melakukan observasi langsung, namun hanya mengambil data yang disajikan pihak lain. Hasil Penelitian diperoleh Variabel Net Profit Margin (NPM) berpengaruh signifikan terhadap harga saham Perbankan. Variabel Return On Equity (ROE) berpengaruh signifikan terhadap harga saham Perbankan. Variabel Ukuran Perusahaan berpengaruh signifikan terhadap harga saham Perbankan.
Pemanfaatan Sampah Plastik Menjadi Produk dan Jasa Kreatif
Authors: Nurmalasari Devi , Milda Milda , Andrian Nicco , Priyanto Arief Kusuma , Taryana Asep
Published: August 2024

Merujuk pada data Kementerian Lingkungan Hidup dan Kehutanan (KLHK), timbunan sampah nasional pada tahun 2023 telah mencapai angka 17,4 juta ton dimana sebanyak 33,5% dari total sampah tersebut belum terkelola dengan baik. Dari data Program Lingkungan PBB juga menunjukkan Indonesia sebagai negara penghasil sampah pelastik terbesar kedua di dunia setelah Tiongkok. Mayoritas sampah plastik di Indonesia berasal dari sektor rumah tangga sebesar 38% pada tahun 2023. Kondisi tersebut memicu krisis berkelanjutan jika tidak segera ditangani. Krisis ini mendorong berbagai inisiatif kolaborasi dan inovasi berkelanjutan diantaranya pengelolaan sampah terpadu semakin mengemuka berkat peran para ecopreneurs yang mendorong masyarakat untuk peduli tentang pentingnya hilirisasi sampah dalam mendukung ekonomi sirkular yaitu dengan perilaku menuju partisipasi aktif masyarakat terhadap 3R (reduce, reuse, recycle). Sistem daur ulang sampah plastik dan penggunaan kantong plastik sekali pakai masih terus digalakan oleh berbagai kalangan, namun jika tidak didukung oleh kesadaran masyarakat maka krisis sulit untuk ditanggulangi. Terdapat potensi sampah plastik yang dapat diubah menjadi produk yang bermanfaat seperti kreasi sampah plastik menjadi tas belanja, kotak pensil, tempat sendok hingga keranjang serbaguna. Hal ini tentunya turut memiliki nilai ekonomi yang dapat menghasilkan keuntungan dari limbah.
Implementasi Kepemimpinan Kepala Sekolah dalam Peningkatan Kualitas Pendidikan Berdasarkan Instrumen Akreditasi Satuan Pendidikan (IASP) Tahun 2020 di MAN 2 Kab Bandung
Authors: Nugraha Mulyawan Safwandy , Rochimat Hendi
Published: August 2024

Penelitian ini bertujuan untuk menganalisis implementasi kepemimpinan Kepala Sekolah dalam meningkatkan kualitas pendidikan berdasarkan Instrumen Akreditasi Satuan Pendidikan (IASP) tahun 2020 di MAN 2 Kabupaten Bandung. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa implementasi kepemimpinan Kepala Sekolah dalam memperbaiki kualitas pendidikan telah mengikuti standar yang ditetapkan dalam IASP tahun 2020. Faktor-faktor seperti komunikasi yang efektif, pemberdayaan staf, dan pengelolaan sumber daya secara efisien menjadi kunci keberhasilan dalam peningkatan kualitas pendidikan. Studi ini memberikan pemahaman yang mendalam tentang pentingnya peran kepemimpinan Kepala Sekolah dalam mencapai standar akreditasi yang ditetapkan.
Analisis Perkembangan Kemandirian Keuangan Daerah Kabupaten Mamuju Tahun Anggaran 2013-2023
Authors: Hanif Dessy Fitrahtul , Handoyo Sarwo Edy
Published: August 2024

Penelitian ini bertujuan untuk menilai kemandirian keuangan pada Pemerintah Kabupaten Mamuju dan mengetahui faktor-faktor yang mempengaruhinya. Penelitian ini mengunakan data Laporan Keuangan Pemerintah Daerah Kabupaten Mamuju Tahun 2013 – 2023. Metode Penelitian menggunakan pendekatan kualitatif studi kasus dengan menganalisis perkembangan perolehan Pendapatan Asli Daerah (PAD) Kabupaten Mamuju dari Tahun 2013 sampai dengan Tahun 2023 serta kontribusi perolehan PAD terhadap Pendapatan Daerah, selanjutnya analisis perkembangan perolehan Pendapatan Transfer Kabupaten Mamuju serta proporsi perolehannya terhadap Pendapatan Daerah dari Tahun 2013 sampai dengan Tahun 2023 guna mengetahui tingkat ketergantungan terhadap dana dari pemerintahan lain (pusat maupun provinsi), kemudian melakukan penghitungan nilai Indeks Kemandirian Fiskal dan mengklasifikasikan hasil perhitungan. Kemandirian keuangan Pemerintah Kabupaten Mamuju dalam 10 tahun terakhir yaitu 2013-2023 termasuk dalam klasifikasi “Belum Mandiri” dengan rata-rata nilai sebesar 0,0705. Analisis atas tren IKF, terdapat fluktuasi nilai IKF pada Pemerintah Daerah Kabupaten Mamuju, namun dalam kurun waktu tiga tahun terakhir, tren menunjukan peningkatan atau positif. Faktor-faktor yang menjadi penghambat kemandirian keuangan daerah pada Pemerintah Daerah Kabupaten Mamuju adalah kurangnya perolehan nilai Pendapatan Asli Daerah (PAD) serta tingginya tingkat ketergantungan pendapatan transfer.