Article
Psychology, Multidisciplinary
Li Geng, Qiuyang Feng, Xueyang Wang, Yixin Gao, Lei Hao, Jiang Qiu
Summary: The present study examines the impact of social rejection on rumination and investigates the underlying neural mechanisms. The results show a positive correlation between social rejection and rumination. The predictive model for rumination scores suggests that the default mode network, dorsal attention network, frontoparietal control network, and sensorimotor networks play important roles in this process. Mediation analysis reveals that the strength of the prediction network mediates the relationship between social rejection and rumination.
FRONTIERS IN PSYCHOLOGY
(2023)
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
Tamara Vasilkovska, Mohit H. Adhikari, Johan Van Audekerke, Somaie Salajeghe, Dorian Pustina, Roger Cachope, Haiying Tang, Longbin Liu, Ignacio Munoz-Sanjuan, Annemie Van der Linden, Marleen Verhoye
Summary: Huntington's disease is caused by a mutation in the huntingtin gene, leading to neurodegeneration and dysfunction in the brain's large-scale networks. This study used resting-state fMRI to investigate changes in functional connectivity in a mouse model of Huntington's disease at different ages. The results show that connectivity alterations start with cortical networks and later affect striatal connectivity.
NEUROBIOLOGY OF DISEASE
(2023)
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
Disha Shah, Marleen Verhoye, Annemie Van der Linden, Rudi D'Hooge
Article
Biochemical Research Methods
Maarten Naeyaert, Dimitri Rouse, Zhenhua Mai, Aneta Keliris, Jan Sijbers, Annemie Van der Linden, Marleen Verhoye
JOURNAL OF MAGNETIC RESONANCE
(2019)
Article
Behavioral Sciences
Stephan Missault, Cynthia Anckaerts, Soumaya Ahmadoun, Ines Blockx, Michael Barbier, Kenny Bielen, Disha Shah, Samir Kumar-Singh, Winnok H. De Vos, Annemie Van der Linden, Stefanie Dedeurwaerdere, Marleen Verhoye
BEHAVIOURAL BRAIN RESEARCH
(2019)
Article
Behavioral Sciences
Amira Latif-Hernandez, Disha Shah, Kathleen Craessaerts, Takaomi Saido, Takashi Saito, Bart De Strooper, Annemie Van der Linden, Rudi D'Hooge
BEHAVIOURAL BRAIN RESEARCH
(2019)
Article
Neurosciences
Cynthia Anckaerts, Ines Blockx, Priska Summer, Johanna Michael, Julie Hamaide, Christina Kreutzer, Herve Boutin, Sebastien Couillard-Despres, Marleen Verhoye, Annemie Van der Linden
NEUROBIOLOGY OF DISEASE
(2019)
Article
Neurosciences
Daniele Bertoglio, Elisabeth Jonckers, Idrish Ali, Marleen Verhoye, Annemie Van der Linden, Stefanie Dedeurwaerdere
NEUROBIOLOGY OF DISEASE
(2019)
Article
Multidisciplinary Sciences
Nuria Dominguez-Iturza, Adrian C. Lo, Disha Shah, Marcelo Armendariz, Anna Vannelli, Valentina Mercaldo, Massimo Trusel, Ka Wan Li, Denise Gastaldo, Ana Rita Santos, Zsuzsanna Callaerts-Vegh, Rudi D'Hooge, Manuel Mameli, Annemie Van der Linden, August B. Smit, Tilmann Achsel, Claudia Bagni
NATURE COMMUNICATIONS
(2019)
Correction
Multidisciplinary Sciences
Michael E. Belloy, Disha Shah, Anzar Abbas, Amrit Kashyap, Steffen Rossner, Annemie Van der Linden, Shella D. Keilholz, Georgios A. Keliris, Marleen Verhoye
SCIENTIFIC REPORTS
(2019)
Article
Neurosciences
Joanes Grandjean, Carola Canella, Cynthia Anckaerts, Gulebru Ayranci, Salma Bougacha, Thomas Bienert, David Buehlmann, Ludovico Coletta, Daniel Gallino, Natalia Gass, Clement M. Garin, Nachiket Abhay Nadkarni, Neele S. Huebner, Meltem Karatas, Yuji Komaki, Silke Kreitz, Francesca Mandino, Anna E. Mechling, Chika Sato, Katja Sauer, Disha Shah, Sandra Strobelt, Norio Takata, Isabel Wank, Tong Wu, Noriaki Yahata, Ling Yun Yeow, Yohan Yee, Ichio Aoki, M. Mallar Chakravarty, Wei-Tang Chang, Marc Dhenain, Dominik von Elverfeldt, Laura-Adela Harsan, Andreas Hess, Tianzi Jiang, Georgios A. Keliris, Jason P. Lerch, Andreas Meyer-Lindenberg, Hideyuki Okano, Markus Rudin, Alexander Sartorius, Annemie Van der Linden, Marleen Verhoye, Wolfgang Weber-Fahr, Nicole Wenderoth, Valerio Zerbi, Alessandro Gozzi
Article
Radiology, Nuclear Medicine & Medical Imaging
Maarten Naeyaert, Jan Aelterman, Johan Van Audekerke, Vladimir Golkov, Daniel Cremers, Aleksandra Pizurica, Jan Sijbers, Marleen Verhoye
Summary: The study aims to use compressed sensing to accelerate fast spin echo (FSE) imaging for acquiring a high angular resolution diffusion Imaging (HARDI) data set in a time comparable to EPI. Results showed that apparent fiber density and complexity metric had minor differences with q-space undersampling, but deteriorated with k-space undersampling.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Geriatrics & Gerontology
Firat Kara, Michael E. Belloy, Rick Voncken, Zahra Sarwari, Yadav Garima, Cynthia Anckaerts, An Langbeen, Valerie Leysen, Disha Shah, Jules Jacobs, Julie Hamaide, Peter Bols, Johan Van Audekerke, Jasmijn Daans, Caroline Guglielmetti, Kejal Kantarci, Vincent Prevot, Steffen Rossner, Peter Ponsaerts, Annemie Van der Linden, Marleen Verhoye
Summary: This study investigated the long-term neurological consequences of ovariectomy in a rodent AD model using in vivo MRI biomarkers. The results showed that ovariectomized TG mice had increased biomarkers in the hypothalamus, decreased white matter integrity, and decreased resting-state functional connectivity. In addition, an increase in functional connectivity was observed in ovariectomized WT mice. Genotype and ovariectomy were found to alter imaging biomarkers associated with AD.
NEUROBIOLOGY OF AGING
(2021)
Article
Medicine, General & Internal
Giovanni Esposito, Benoit Ernst, Monique Henket, Marie Winandy, Avishek Chatterjee, Simon Van Eyndhoven, Jelle Praet, Dirk Smeets, Paul Meunier, Renaud Louis, Philippe Kolh, Julien Guiot
Summary: Early diagnosis of COVID-19 is crucial for effective treatment, preventing community spread, and reducing costs. Researchers developed a decision tree model to evaluate the impact of an AI-based CT analysis software, icolung, on the detection and prognosis of COVID-19 cases. The study found that icolung is cost-effective in reducing transmission risk, particularly in low prevalence scenarios.
Article
Radiology, Nuclear Medicine & Medical Imaging
Banafshe Shafieizargar, Ben Jeurissen, Dirk H. J. Poot, Stefan Klein, Johan Van Audekerke, Marleen Verhoye, Arnold J. den Dekker, Jan Sijbers
Summary: This article introduces a novel imaging and parameter estimation framework for accurate multi-shot diffusion MRI. The proposed framework, called ADEPT, enables fast diffusion MRI by allowing diffusion contrast settings to change between shots in a multi-shot EPI acquisition. ADEPT estimates diffusion parameter maps directly from the acquired k-space data and simultaneously accounts for shot-to-shot phase inconsistencies. Simulation and real-data experiments demonstrate that ADEPT provides more accurate and precise estimates of diffusion metrics compared to reference methods.
MAGNETIC RESONANCE IN MEDICINE
(2023)