Article
Psychology, Experimental
Margarita Soloveichick, Ruth Kimchi, Shai Gabay
Summary: Experiment 1 showed global advantage and global-to-local interference in the same-eye condition, but no such effects were observed in the different-eyes condition. Experiment 2 replicated these findings, indicating that global-to-local interference was eliminated when global and local information were segregated between the eyes, suggesting involvement of subcortical regions in processing hierarchical stimuli.
Article
Anatomy & Morphology
Zhenni Gao, Xiaojin Liu, Delong Zhang, Ming Liu, Ning Hao
Summary: Recent studies have shown that creative visual divergent thinking is associated with specific subcortical regions and the fronto-striatal dopaminergic pathways. This study used resting-state functional magnetic resonance imaging data to explore differences in spontaneous fluctuations of the subcortex between individuals with different levels of creativity. The results indicate significant differences in functional connectivity within the subcortex and a positive correlation between subcortical functional connectivity and visual divergent thinking scores.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Neurosciences
Hyeon-Man Baek
Summary: The pathology of Parkinson's disease involves dopaminergic neuron death in the substantia nigra, gradually affecting basal ganglia pathways due to decreased dopamine transport. Diffusion MRI has been used to diagnose PD by evaluating white matter connectivity in certain brain areas. This study employed Lead-DBS to automatically segment subcortical structures in human connectome project data, reducing reliance on manual segmentation for improved consistency. The Lead-connectome pipeline was applied to investigate differences in diffusion measures between 3T and 7T data acquisition protocols, revealing significant variations in fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity values in different regions.
Article
Oncology
Bo Liu, Shan Meng, Jie Cheng, Yan Zeng, Daiquan Zhou, Xiaojuan Deng, Lianqin Kuang, Xiaojia Wu, Lin Tang, Haolin Wang, Huan Liu, Chen Liu, Chuanming Li
Summary: The combination of radiomics derived from brain high-resolution T1-weighted imaging and automatic machine learning can accurately diagnose SIVCIND. The optimal radiomics features are mostly located in the right amygdala, left caudate nucleus, left putamen, and left thalamus.
FRONTIERS IN ONCOLOGY
(2022)
Article
Neurosciences
Xu He, Jiaxin Hu, Mengyun Yin, Wei Zhang, Boyu Qiu
Summary: There is a correlation between excessive screen media use and mental health problems. Different types of screen media use have different associations with mental health problems, brain development, and connectivity.
Article
Optics
A. Yu Bazhenov, M. Nikitina, A. P. Alodjants
Summary: This study introduces a novel quantum material concept that enables superstrong interaction between two-level systems and the photonic field in complex networks. Through mean field approximation, the enhancement of Rabi frequency in anomalous network topology regions is observed. These findings pave the way for the design of new photonic and polaritonic circuits, as well as efficient quantum information processing at high temperatures.
Article
Psychology, Multidisciplinary
Brooke Donnelly, Nasim Foroughi, Mark Williams, Stephen Touyz, Sloane Madden, Michael Kohn, Simon Clark, Perminder Sachdev, Anthony Peduto, Ian Caterson, Janice Russell, Phillipa Hay
Summary: Neuroimaging analysis revealed differential neural responses to low energy and high energy food images in individuals with bulimia nervosa (BN) and binge eating disorder (BED), with binge frequency potentially related to increased aberrant neural responding. Additionally, significant differences were found in neural responses to food images across different emotive categories in these patients.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Behavioral Sciences
Ardaman Kaur, Vijayakumar Chinnadurai, Rishu Chaujar
Summary: Our study sheds light on the relevance of subcortical structures and interhemispheric subcortical-cortical interactions in positive/negative affect and approach/withdrawal tendencies. The lateralization of connectivity and involvement of emotion and memory-related subcortical-cortical interactions were also observed. Additionally, the study highlights the tight coupling of basal-ganglia structures in the approach/withdrawal dichotomy and the existence of a feedback loop between affective and approach/withdrawal systems.
BEHAVIORAL NEUROSCIENCE
(2021)
Article
Neurosciences
Jung Hwan Kim, Amanda J. Taylor, Marc Himmelbach, Gisela E. Hagberg, Klaus Scheffler, David Ress
Summary: Subcortical brain regions play critical roles in human behaviors and their neurovascular responses have been less studied. This study used blood oxygen level dependent functional MRI to investigate the subcortical hemodynamic response function. The results showed that subcortical regions have faster hemodynamic response and lack post-stimulus undershoot compared to cortical regions, indicating different vascular dynamics and neurometabolic responses.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Psychology, Multidisciplinary
Simona Sciara, Federico Contu, Mariavittoria Bianchini, Marta Chiocchi, Giacomo Giorgio Sonnewald
Summary: Research suggests that receiving tangible positive feedback leads people with a high need for approval to be more willing to create a public profile on a new social media platform. On the other hand, individuals who only have a few followers and have a high need for approval experience more negative feelings and are comparatively less willing to make their profile public.
CURRENT PSYCHOLOGY
(2023)
Article
Anatomy & Morphology
R. Jarrett Rushmore, Kyle Sunderland, Holly Carrington, Justine Chen, Michael Halle, Andras Lasso, G. Papadimitriou, N. Prunier, Elizabeth Rizzoni, Brynn Vessey, Peter Wilson-Braun, Yogesh Rathi, Marek Kubicki, Sylvain Bouix, Edward Yeterian, Nikos Makris
Summary: MRI-based brain segmentation has been revolutionized by deep learning methods. In this study, a custom software module for manual editing of brain structures was developed and used to manually segment 50 high resolution T1w MRI brains. These curated brain datasets provide the basis for a larger database of anatomically curated brains as an open science resource.
FRONTIERS IN NEUROANATOMY
(2022)
Article
Ecology
Kira A. Treibergs, David Esparza, Jeannie A. Yamazaki, Marc Goebel, Michelle K. Smith
Summary: An understanding of cognitive and affective domains is crucial for promoting undergraduate student success in biology. Field courses have been effective in supporting cognitive outcomes, but less is known about students' affective responses during field instruction. Through reflective journaling and coding, we present a theoretically-driven "Framework of Student Affect in Field Biology" and novel insights into students' emotions, beliefs, and values during an undergraduate field course, which can guide field course instructors in designing better experiences.
ECOLOGY AND EVOLUTION
(2022)
Article
Green & Sustainable Science & Technology
Susanne Stoll-Kleemann, Susanne Nicolai, Philipp Franikowski
Summary: This article addresses the climate crisis as a moral issue and explores the motivations and influences on individuals to adopt less carbon-emitting behaviors through a combination of empirical data and theoretical analysis. The findings suggest that media reporting on the climate crisis can evoke emotional responses and lead to behavior change. Opinion leaders can serve as role models for low-carbon behavior.
Article
Materials Science, Multidisciplinary
Vincent Feyen, Nele Moelans
Summary: This paper presents a novel multi-order parameter phase-field model that is capable of simulating high driving force phenomena encountered in electrochemical cells or additive manufacturing processes. The model separates the interfacial stability and mean curvature flow and is validated through four benchmarks and three different multi-order parameter interpolation functions. Additionally, the model reduces the number of grid points needed for classical models, enabling simulations of phase transformations and grain growth with reduced computational time and improved accuracy. Overall, this proposed model advancement bridges the gap between experiments and simulations, allowing for a more comprehensive range of driving forces and length scales in phase-field modeling.
Article
Chemistry, Physical
He Zhang, Ting Yu, Dan Li, Anqi Yang, Xinxin Lai, Chunjun Liang, Yanwu Lu
Summary: By introducing functional diamino cations, the stability and photoelectric properties of hybrid perovskites can be improved. Superlattice structures show good thermodynamic stability, direct band gaps, and tunability, promoting carrier migration between electrons and holes.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alessandro Sciarra, Hendrik Mattern, Renat Yakupov, Soumick Chatterjee, Daniel Stucht, Steffen Oeltze-Jafra, Frank Godenschweger, Oliver Speck
Summary: The study aimed to quantitatively assess the PMC capability at 7T MRI for healthy compliant subjects, showing significant improvement in image quality with PMC according to both subjective evaluation and objective metrics.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Berk Silemek, Frank Seifert, Johannes Petzold, Werner Hoffmann, Harald Pfeiffer, Oliver Speck, Georg Rose, Bernd Ittermann, Lukas Winter
Summary: The study demonstrates rapid detection and mitigation of RF-induced implant heating during MRI using small and low-cost embedded sensors. The sensors can provide real-time monitoring and mitigation while preserving image quality, independent of simulations or in vitro testing.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Layla Tabea Riemann, Christoph Stefan Aigner, Stephen L. R. Ellison, Rudiger Bruehl, Ralf Mekle, Sebastian Schmitter, Oliver Speck, Georg Rose, Bernd Ittermann, Ariane Fillmer
Summary: This study introduced a framework to evaluate the repeatability, reproducibility, and minimal detectable changes of metabolite concentrations determined by in vivo MRS. An unbalanced nested study design and statistical analysis tools were used to acquire data with specific scenarios and assess variance contributions.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Multidisciplinary Sciences
Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nurnberger, Oliver Speck
Summary: This study uses two spatiotemporal models to classify different types of brain tumors and finds that these models perform better than traditional 3D models. Additionally, pre-training the models on a different dataset before task training improves performance. The pre-trained ResNet Mixed Convolution model was observed to be the best performing model in these experiments.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Soumick Chatterjee, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, Andreas Nuernberger
Summary: This paper presents a method for interpreting and explaining the results of deep learning algorithms and proposes a unified framework for generating visual interpretations for clinicians. The framework extends existing interpretability techniques and allows for quantitative comparison of visual explanations.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Marios K. Georgakis, Rong Fang, Marco Duering, Frank A. Wollenweber, Felix J. Bode, Sebastian Stoesser, Christine Kindlein, Peter Hermann, Thomas G. Liman, Christian H. Nolte, Lucia Kerti, Benno Ikenberg, Kathleen Bernkopf, Holger Poppert, Wenzel Glanz, Valentina Perosa, Daniel Janowitz, Michael Wagner, Katja Neumann, Oliver Speck, Laura Dobisch, Emrah Duezel, Benno Gesierich, Anna Dewenter, Annika Spottke, Karin Waegemann, Michael Goertler, Silke Wunderlich, Matthias Endres, Inga Zerr, Gabor Petzold, Martin Dichgans
Summary: The global burden of small vessel disease (SVD) predicts cognitive and functional outcomes in stroke patients, but the current score used for assessment does not improve prediction capability. Assessing the severity of SVD lesions adds value in predicting outcomes beyond known predictors.
ALZHEIMERS & DEMENTIA
(2023)
Letter
Clinical Neurology
Stefanie Schreiber, Anna-Charlotte John, Cornelius J. Werner, Stefan Vielhaber, Hans-Jochen Heinze, Oliver Speck, Jens Wuerfel, Daniel Behme, Hendrik Mattern
JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Melanie Storch, Maria Kanthack, Till Amelung, Klaus M. Beier, Tillmann H. C. Krueger, Christopher Sinke, Henrik Walter, Martin Walter, Boris Schiffer, Stephanie Schindler, Peter Schoenknecht
Summary: The study highlights the importance of differentiating between sexual offending and paraphilic sexual preferences, as a deviant hypothalamic structure was found to be a neurobiological correlate of child sexual offenses in pedophiles but not in individuals with pedophilia who have not committed offenses.
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
(2023)
Article
Biophysics
Johannes Petzold, Sebastian Schmitter, Berk Silemek, Lukas Winter, Oliver Speck, Bernd Ittermann, Frank Seifert
Summary: This study integrates the safety assessment of implant carriers in MRI with pTx technology. It proposes a comprehensive safety concept that combines real-time monitoring with physical sensors for quantifying implant-related heating. Simulation experiments and optimization algorithms are used to find the best excitation scheme that ensures both overall and local safety.
NMR IN BIOMEDICINE
(2023)
Article
Biology
Hana Haseljic, Soumick Chatterjeeb, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensenj, Frank Wackerj, Inga Brueschk, Thomas Wernckej, Oliver Speck, Andreas Nuernberger, Georg Rose
Summary: Model-based reconstruction with TST improves dynamic perfusion imaging of the liver using CBCT. Accurate liver segmentation is required for applying TST with prior knowledge from CT perfusion data. Turbolift learning sequentially trains a modified Attention UNet on different liver segmentation tasks, achieving significant improvement in liver segmentation from CBCT TST. This research demonstrates the potential of segmenting the liver from CT, CBCT, and CBCT TST for visualizing and evaluating perfusion maps in liver disease treatment.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nuernberger
Summary: Computed tomography (CT) and magnetic resonance imaging (MRI) are widely used clinical imaging modalities for non-invasive diagnosis, but both have certain problems. This paper proposes a unified solution for sparse CT and undersampled radial MRI reconstruction and improves the accuracy and reconstruction speed of the Primal-Dual network.
Article
Neurosciences
Luisa Herrmann, Johanna Ade, Anne Kuehnel, Annina Widmann, Liliana Ramona Demenescu, Meng Li, Nils Opel, Oliver Speck, Martin Walter, Lejla Colic
Summary: High childhood emotional maltreatment (CM-EMO) is associated with an increased risk for psychopathology, potentially through alterations in gamma-Aminobutyric acid (GABA). The pregenual anterior cingulate cortex (pgACC) is an important brain region for emotion processing, and its' GABA levels are implicated in mood and anxiety disorders. This study examined the association between self-reported CM-EMO in adulthood and GABA+ levels in the pgACC, finding a negative relationship between CM-EMO-NEG and GABA+/tCr in the pgACC.
NEUROBIOLOGY OF STRESS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Johannes Petzold, Sebastian Schmitter, Berk Silemek, Lukas Winter, Oliver Speck, Bernd Ittermann, Frank Seifert
Summary: This study investigates the safety and performance aspects of parallel-transmit RF control modes for a body coil at B-0 <= 3T using electromagnetic simulations. The results show that PTx body coils can be used safely at B-0 <= 3T, but uncertainties in patient anatomy must be taken into account.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Proceedings Paper
Optics
Daniel Punzet, Robert Frysch, Daniel Behme, Tim Pfeiffer, Oliver Speck, Georg Rose
Summary: Performing a final CBCT acquisition after intervention for outcome control is beneficial in many interventional settings, but it is often omitted due to high patient dose. Volume-of-interest acquisitions can reduce dose, but image reconstruction may suffer from cupping artifacts and radiodensity offsets. In our previous work, we proposed a method that incorporates prior volume data into the reconstruction of volume-of-interest acquisitions in CBCT by using fluoroscopic positioning images for registration. Here, we demonstrate the application of this method on real clinical data for the first time.
MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING
(2022)
