Article
Neurosciences
Xia Li, Hakan Fischer, Amirhossein Manzouri, Kristoffer N. T. Mansson, Tie-Qiang Li
Summary: This study introduced a new quantitative data-driven analysis framework for R-fMRI and found age-related declines of RFC metrics in specific brain regions, which adds to previously reported results and enhances sensitivity and clarification in adult aging research.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Immunology
Johnna R. Swartz, Angelica F. Carranza, Laura M. Tully, Annchen R. Knodt, Janina Jiang, Michael R. Irwin, Camelia E. Hostinar
Summary: The study found associations between peripheral inflammation and adolescent brain connectivity, with higher TNF-α levels linked to changes in neural network connections. Associations with IL-6 and CRP were not significant, suggesting that inflammation may have unique effects on brain connectivity during adolescence.
BRAIN BEHAVIOR AND IMMUNITY
(2021)
Article
Neurosciences
Limin Peng, Zhiguo Luo, Ling-Li Zeng, Chenping Hou, Hui Shen, Zongtan Zhou, Dewen Hu
Summary: This study developed a brain parcellation method based on dynamic functional connectivity and created a new functional brain atlas. The atlas can reveal finer functional boundaries that static methods may overlook, and shows good agreement with cytoarchitectonic areas and task activation maps.
Article
Computer Science, Artificial Intelligence
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Summary: This study proposes a temporal dynamics learning (TDL) method for network-based brain disease identification using rs-fMRI time-series data. By integrating network feature extraction and classifier training into a unified framework, it addresses the issues of previous studies paying less attention to the evolution of global network structures over time and treating feature extraction and training as separate tasks.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Neurosciences
Jung-Hoon Kim, Josepheen De Asis-Cruz, Kushal Kapse, Catherine Limperopoulos
Summary: The reliability and robustness of rs-fcMRI depend on minimizing the influence of head motion on brain signals. This study examined the impact of head motion on newborn brain connectivity using a large dataset. The findings revealed that head motion significantly affected connectivity, with specific effects observed in sensory-related and default mode networks. Implementing a motion correction strategy helped reduce the confounding effects of head motion on neonatal rs-fcMRI.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Luoyao Pang, Huidi Li, Quanying Liu, Yue-Jia Luo, Dean Mobbs, Haiyan Wu
Summary: Motivated dishonesty is a common social behavior that varies among individuals. This study explores the relationship between brain networks and dishonesty using resting-state functional magnetic resonance imaging (rsfMRI), and demonstrates the ability to predict dishonest behavior through a model based on functional connectivity.
Article
Neurosciences
Yongfa Zhang, Fei Wang, Jie Sui
Summary: Recent research supports a fundamental self hypothesis, suggesting that the self is a baseline function of the brain that regulates cognitive processing and behavior. Understanding this hypothesis can help identify the emergence of self-biased behaviors and predict the influence of brain signals at rest on such behaviors.
Article
Neurosciences
Jeffrey M. Kenzie, Deepthi Rajashekar, Bradley G. Goodyear, Sean P. Dukelow
Summary: Around 50% of stroke patients have deficits in proprioception, but our understanding of the neurological mechanisms behind these deficits is limited. This study used resting-state functional magnetic resonance imaging (fMRI) to investigate changes in functional brain networks associated with proprioception deficits in stroke patients. The results showed reduced connectivity in specific brain regions, including the supplementary motor area and the supramarginal gyrus, in stroke patients compared to healthy controls. Functional connectivity of these regions, as well as the primary somatosensory cortex and the parietal opercular area, was significantly associated with proprioceptive function. The parietal lobe of the lesioned hemisphere was identified as an important node for proprioception after stroke, and evaluating the functional connectivity of this region could help predict recovery. The study also identified potential targets for therapeutic neurostimulation to aid in stroke recovery.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Shachar Gal, Yael Coldham, Niv Tik, Michal Bernstein-Eliav, Ido Tavor
Summary: The search for an ideal approach to investigate functional connections in the human brain is a challenge for neuroscience. Recent studies have found that using naturalistic stimuli to collect functional connectivity data predicts cognitive and emotional scores more accurately than using resting-state data. Furthermore, activation maps predicted using naturalistic stimuli are better predictors of individual intelligence scores than those predicted using resting-state data.
Article
Neurosciences
Andria J. Farrens, Shahabeddin Vahdat, Fabrizio Sergi
Summary: Dynamic adaptation is the process of adjusting motor actions to changes in task dynamics. Adapted motor plans are consolidated into memories that contribute to better performance on re-exposure. This study used functional magnetic resonance imaging (fMRI) to investigate resting state functional connectivity (rsFC) specific to dynamic adaptation of wrist movements and subsequent memory formation.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Won Beom Jung, Haiyan Jiang, Soohyun Lee, Seong-Gi Kim
Summary: In order to advance fMRI-based brain science, it is important to analyze fMRI activity at the circuit level. This study combines whole-brain fMRI with neuronal silencing to dissect the responses and circuits of the somatosensory network.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Psychology, Clinical
Cope Feurer, Jagan Jimmy, Fini Chang, Scott A. Langenecker, K. Luan Phan, Olusola Ajilore, Heide Klumpp
Summary: This study explored the relationship between brain activity and rumination and worry in internalizing conditions. The results indicate the involvement of the affective network in rumination and worry, as well as distinct connectivity patterns observed in patients with internalizing conditions. The findings suggest different mechanisms contribute to rumination as a unitary construct and worry as a unique construct.
DEPRESSION AND ANXIETY
(2021)
Article
Psychology, Clinical
Lizhu Luo, Christelle Langley, Laura Moreno-Lopez, Keith Kendrick, David K. Menon, Emmanuel A. Stamatakis, Barbara J. Sahakian
Summary: This study examined the association between depressive symptoms in traumatic brain injury (TBI) patients and altered resting-state functional connectivity (rs-fc) or voxel-based morphology in brain regions involved in emotional regulation and associated with depression. The results showed a positive association between depression scores and rs-fc between limbic regions and cognitive control regions, while there was a negative association between depression scores and rs-fc between limbic and frontal regions involved in emotion regulation. These findings contribute to a better understanding of the mechanisms underlying depression following TBI and can inform treatment decisions.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Neurosciences
Marie-Stephanie Cahart, Owen O'Daly, Vincent Giampietro, Maarten Timmers, Johannes Streffer, Steven Einstein, Fernando Zelaya, Flavio Dell'Acqua, Steven C. R. Williams
Summary: This study compared the reliability of conventional single-band fMRI and different multiband (MB) fMRI acquisitions with and without in-plane acceleration across multiple scanning sessions. It found that for cortical areas, MB factor 4 without in-plane acceleration had the highest reliability, while for subcortical areas, conventional single-band fMRI was more reliable.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Serafeim Loukas, Lara Lordier, Djalel-Eddine Meskaldji, Manuela Filippa, Joana Sa de Almeida, Dimitri Van de Ville, Petra S. Hueppi
Summary: Research indicates that even during the newborn period, familiar music and unfamiliar music are processed differently by the brain. After music listening, functional connectivity between brain regions in all newborns is modulated. Premature infants exposed to music experience enhanced functional connectivity between brain regions after listening to music.
HUMAN BRAIN MAPPING
(2022)
Article
Psychology, Biological
Julian Koenig, Birgit Abler, Ingrid Agartz, Torbjorn akerstedt, Ole A. Andreassen, Mia Anthony, Karl-Juergen Baer, Katja Bertsch, Rebecca C. Brown, Romuald Brunner, Luca Carnevali, Hugo D. Critchley, Kathryn R. Cullen, Eco J. C. de Geus, Feliberto de la Cruz, Isabel Dziobek, Marc D. Ferger, Hakan Fischer, Herta Flor, Michael Gaebler, Peter J. Gianaros, Melita J. Giummarra, Steven G. Greening, Simon Guendelman, James A. J. Heathers, Sabine C. Herpertz, Mandy X. Hu, Sebastian Jentschke, Michael Kaess, Tobias Kaufmann, Bonnie Klimes-Dougan, Stefan Koelsch, Marlene Krauch, Deniz Kumral, Femke Lamers, Tae-Ho Lee, Mats Lekander, Feng Lin, Martin Lotze, Elena Makovac, Matteo Mancini, Falk Mancke, Kristoffer N. T. Mansson, Stephen B. Manuck, Mara Mather, Frances Meeten, Jungwon Min, Bryon Mueller, Vera Muench, Frauke Nees, Lin Nga, Gustav Nilsonne, Daniela Ordonez Acuna, Berge Osnes, Cristina Ottaviani, Brenda W. J. H. Penninx, Allison Ponzio, Govinda R. Poudel, Janis Reinelt, Ping Ren, Michiko Sakaki, Andy Schumann, Lin Sorensen, Karsten Specht, Joana Straub, Sandra Tamm, Michelle Thai, Julian F. Thayer, Benjamin Ubani, Denise J. van Der Mee, Laura S. van Velzen, Carlos Ventura-Bort, Arno Villringer, David R. Watson, Luqing Wei, Julia Wendt, Melinda Westlund Schreiner, Lars T. Westlye, Mathias Weymar, Tobias Winkelmann, Guo-Rong Wu, Hyun Joo Yoo, Daniel S. Quintana
Summary: The decline in heart rate variability (HRV) and cortical thickness (CT) with increasing age was observed, with CT, particularly in the orbitofrontal cortex, explaining additional variance in HRV beyond the effects of aging. These effects were independent of sex and specific to HRV, with no significant association between CT and heart rate. The findings suggest that greater CT across adulthood may be crucial for maintaining healthy cardiac regulation, and greater cardiac vagal activity as reflected in HRV may slow brain atrophy.
Article
Multidisciplinary Sciences
Diana S. Cortes, Christina Tornberg, Tanja Baenziger, Hillary Anger Elfenbein, Haken Fischer, Petri Laukka
Summary: The study utilized dynamic emotional stimuli to investigate age-related differences in emotion recognition, finding that younger adults generally had higher recognition rates than older adults. Age groups differed significantly in auditory recognition and in identifying both positive and negative emotions.
SCIENTIFIC REPORTS
(2021)
Article
Psychology, Multidisciplinary
Lillian Dollinger, Petri Laukka, Lennart Bjorn Hogman, Tanja Banziger, Irena Makower, Hakan Fischer, Stephan Hau
Summary: Nonverbal emotion recognition accuracy (ERA) is essential for successful communication, and two different training programs focusing on multimodal expressions and micro expressions respectively were evaluated. Results showed that the training program focusing on multimodal expressions was more effective in improving overall ERA, while the one focusing on micro expressions was more effective in improving micro expression ERA specifically. Transfer effects of the training programs were not observed, and participants with lower baseline ERA showed more improvements.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Neurosciences
Kristoffer N. T. Mansson, Leonhard Waschke, Amirhossein Manzouri, Tomas Furmark, Hakan Fischer, Douglas D. Garrett
Summary: Task-based brain signal variability has been found to be the most reliable indicator for predicting treatment outcomes of psychiatric disorders, outperforming self-reports and other neural measures. This suggests that moment-to-moment fMRI signal variability may serve as a prognostic indicator for clinical outcomes.
BIOLOGICAL PSYCHIATRY
(2022)
Article
Neurosciences
Gaia Olivo, Martin Lovden, Amirhossein Manzouri, Laura Terlau, Bo Jenner, Arian Jafari, Sven Petersson, Tie-Qiang Li, Hakan Fischer, Kristoffer N. T. Mansson
Summary: Skill learning induces changes in estimates of gray matter volume in the human brain, which are related to fluctuations in arterial blood flow but cannot be fully explained by simultaneous BOLD signals. These sensitive and behavior-related changes pose new questions for studying brain plasticity.
Article
Neurosciences
Xia Li, Hakan Fischer, Amirhossein Manzouri, Kristoffer N. T. Mansson, Tie-Qiang Li
Summary: This study introduced a new quantitative data-driven analysis framework for R-fMRI and found age-related declines of RFC metrics in specific brain regions, which adds to previously reported results and enhances sensitivity and clarification in adult aging research.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Psychology, Experimental
Petri Laukka, Tanja Banziger, Alexandra Israelsson, Diana Sanchez Cortes, Christina Tornberg, Klaus R. Scherer, Hakan Fischer
Summary: Individuals vary in emotion recognition ability, which is positively correlated with emotional understanding, empathy, and openness, and negatively correlated with alexithymia. Women have higher ERA than men, and participants with higher ERA are more accurate in their meta-cognitive judgments about their own accuracy.
Article
Neurosciences
Mingfeng Jiang, Bin Yan, Yang Li, Jucheng Zhang, Tieqiang Li, Wei Ke
Summary: This paper proposes a new method for image classification of Alzheimer's disease based on the external-attention mechanism. The experimental results show that this method can effectively improve the classification performance of the model.
Article
Biology
Bin Yan, Yang Li, Lin Li, Xiaocheng Yang, Tie-qiang Li, Guang Yang, Mingfeng Jiang
Summary: This study investigates the impact of different image filtering approaches and attention mechanisms on the image classification of Alzheimer's disease, and finds that these methods provide effective assistance for diagnosis and classification.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Endocrinology & Metabolism
Shanshan Xiao, Natalie C. Ebner, Amirhossein Manzouri, Tie-Qiang Li, Diana S. Cortes, Kristoffer N. T. Mansson, Hakan Fischer
Summary: The mechanisms through which intranasal oxytocin affects the brain are not fully understood, but recent research suggests that brain regions with a higher density of oxytocin receptors may play a key role. This study used resting-state fMRI to investigate the effects of intranasal oxytocin administration on connectivity between these receptor-enriched regions and other regions in the brain, and found that the effects varied depending on the age of the participants.
PSYCHONEUROENDOCRINOLOGY
(2024)
Article
Chemistry, Analytical
Xia Li, Hui Zhang, Hao Yang, Tie-Qiang Li
Summary: This study proposes a GAN-based model for CS-MRI reconstruction that achieves superior performance without increasing model complexity. By incorporating DR networks and a CAM mechanism, the model improves both efficiency and quality compared to other relevant models.
Article
Radiology, Nuclear Medicine & Medical Imaging
Xia Li, Per Julin, Tie-Qiang Li
Summary: This study identified significant hypoperfusion in several brain regions of the limbic system among ME/CFS patients compared to healthy controls. The overall symptom severity score in ME/CFS patients at rest was significantly associated with reduced rCBF in the anterior cingulate cortex, indicating that brain blood flow abnormalities in the limbic system may play a role in ME/CFS pathogenesis.
Article
Oncology
Xia Li, Zhenhao Xu, Xi Shen, Yongxia Zhou, Binggang Xiao, Tie-Qiang Li
Summary: The study introduced a novel framework utilizing Faster RCNN-FPN architecture for improving the detection of abnormal cervical cells in cytology images. The model, incorporating deformable convolution layers and global context aware module, demonstrated considerable advantages through extensive experimentation.
Article
Multidisciplinary Sciences
Jiri Prusa, Michal Cifra
Summary: This study presents trajectories from non-equilibrium molecular dynamics simulations of a kinesin motor domain on tubulin heterodimers, demonstrating the effects of electric field orientation and strength on kinesin detachment.
Article
Multidisciplinary Sciences
Michal Sujan, Kishan Aherwar, Rastislav Vojtko, Regis Braucher, Katarina Sarinova, Andrej Chyba, Jozef Hok, Anita Grizelj, Radovan Pipik, Bronislava Lalinska-Volekova, Barbara Rozsova
Summary: This article presents the characteristics of the Upper Miocene fill of the Turiec Basin and reconstructs the temporal evolution of depositional systems in this intermontane basin. Borehole lithological log data and sedimentological data from field research were used to describe the stratigraphy of the basin and analyze the grain size, geochemistry, mineralogy, and geochronology of the sediments. The results provide valuable insights into the geological development and environmental changes in the study area.
Article
Multidisciplinary Sciences
Purab Nandi, K. R. Anupama, Himanish Agarwal, Kishan Patel, Vedant Bang, Manan Bharat, Madhen Vyas Guru
Summary: This paper describes a dataset acquired from 41 volunteers performing various activities and falls using a custom wrist-worn end device. The dataset includes data from motion sensors and heart-rate sensors. The dataset is available for public access.
Article
Multidisciplinary Sciences
C. Anuradha, A. Chandrasekar, S. Backiyarani, R. Thangavelu, S. Uma, R. Selvarajan
Summary: This study focused on analyzing the differential gene expression patterns of Musa spp. during the response to Fusarium oxysporum f.sp. cubense (Foc) infection. RNAseq data from resistant and susceptible cultivars were collected at different time intervals, and extensive analysis including GO, KOG, KEGG pathway analysis, as well as SSRs, SNPs, and miRNA investigations were conducted. The dataset was carefully curated and made accessible for further research.
Article
Multidisciplinary Sciences
Laurence L. Delina, Chloe Chan, Timothy Joseph Henares
Summary: Japan played a crucial role in transforming Southeast Asia's energy sector between 2000 and 2020, making significant contributions to local, national, and regional development. The research involved an extensive inventory of resources, providing valuable data for scholars to analyze Japan's strategic involvement and the evolving energy finance landscape in the region.
Article
Multidisciplinary Sciences
Sandra Gonzalez de la Fuente, Jose M. Requena, Begona Aguado
Summary: The Iso-Seq technology based on PacBio sequencing was used to generate high-quality, full-length transcripts of Leishmania species. The analysis of these transcripts provides insights into gene expression regulation and potential therapeutic targets for leishmaniasis and related parasitic diseases.
Article
Multidisciplinary Sciences
Stylianos Kallioras, Antonio A. Correia, Paulo X. Candeias, Alfredo Campos Costa, Francesco Graziotti
Summary: This data paper provides detailed information about a dataset obtained from sensor measurements in shake-table experiments on an unreinforced masonry building. The dataset captures the behavior of walls and the overall response of the building, providing valuable insights for improving earthquake simulations and analysis of masonry structures.
Article
Multidisciplinary Sciences
Dinh Minh Tran, To Uyen Huynh, Thi Huyen Nguyen, Tu Oanh Do, Anh Dzung Nguyen
Summary: Bacillus velezensis RB.IBE29, a chitinolytic bacterium isolated from the rhizospheric soil of black pepper in Vietnam, is a potent biocontrol agent against plant pathogens and possesses a novel chitinase system. In this study, the xyA gene encoding a glycoside hydrolase family 11 xylanase was successfully cloned, expressed, purified, and characterized for the first time in B. velezensis.
Article
Multidisciplinary Sciences
Man Chen, Chengqian Jin, Youliang Ni, Tengxiang Yang, Jinshan Xu
Summary: This study establishes an image dataset for detecting the quality of mechanized soybean harvesting using deep learning techniques. The dataset is enhanced and can assist researchers in constructing a quality prediction model.
