Article
Biochemistry & Molecular Biology
Nguyen Thanh Nhu, David Yen-Ting Chen, Jiunn-Horng Kang
Summary: This study compared the accuracy of network rs-FC and brain structural features in identifying FM using a machine learning approach. The results showed that the rs-FC ML model outperformed the structural ML model in distinguishing FM patients from pain-free controls, and the combined rs-FC and structural ML model performed the best. Several rs-FC features in the final ML model were found to correlate with FM's clinical data.
Article
Psychology, Developmental
Judit Ciarrusta, Daan Christiaens, Sean P. Fitzgibbon, Ralica Dimitrova, Jana Hutter, Emer Hughes, Eugene Duff, Anthony N. Price, Lucilio Cordero-Grande, J. -Donald Tournier, Daniel Rueckert, Joseph V. Hajnal, Tomoki Arichi, Grainne McAlonan, David Edwards, Dafnis Batalle
Summary: The study found that structural connectivity in early life is more stable and can represent a potential connectome fingerprint of an individual. In contrast, the similarity between functional connectomes of the same subject at different time points is low.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2022)
Article
Neurosciences
Gerard Marti-Juan, Jaume Sastre-Garriga, Eloy Martinez-Heras, Angela Vidal-Jordana, Sara Llufriu, Sergiu Groppa, Gabriel Gonzalez-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Hogestol, Hanne F. Harbo, Michael A. Foster, Ahmed T. Toosy, Menno M. Schoonheim, Prejaas Tewarie, Giuseppe Pontillo, Maria Petracca, Alex Rovira, Gustavo Deco, Deborah Pareto
Summary: The relationship between structural connectivity (SC) and functional connectivity (FC) in people with multiple sclerosis (pwMS) and its interaction with disability and cognitive impairment are not well understood. This study used the Virtual Brain (TVB) to explore the SC-FC relationship in MS. Two different model regimes were studied: stable and oscillatory, with the latter including conduction delays in the brain. The results suggested that cognitive impairment in pwMS is associated with a higher SC-FC coupling and that there are compensatory and maladaptive mechanisms between SC and FC in MS.
Article
Multidisciplinary Sciences
Justin Reber, Kai Hwang, Mark Bowren, Joel Bruss, Pratik Mukherjee, Daniel Tranel, Aaron D. Boes
Summary: Lesions disrupting white matter regions with high edge density are more strongly associated with cognitive impairment compared to lesions damaging gray matter regions with high participation coefficient, which helps explain interindividual differences in cognitive outcomes following brain damage.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Clinical Neurology
Samuel Klistorner, Michael H. Barnett, John Parratt, Con Yiannikas, Stuart L. Graham, Alexander Klistorner
Summary: This study found a strong association between baseline choroid plexus volume and subsequent expansion of chronic periventricular multiple sclerosis (MS) lesions and associated tissue damage, but no correlation with volume of new lesions.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2022)
Article
Biochemistry & Molecular Biology
Yan-Ting Lu, Chung-Yao Hsu, Yo-Tsen Liu, Chung -Kin Chan, Yao-Chung Chuang, Chih-Hsiang Lin, Kai-Ping Chang, Chen-Jui Ho, Ching -Ching Ng, Kheng-Seang Lim, Meng -Han Tsai
Summary: This study aims to delineate the clinical and imaging spectrum that differentiates FLNA-positive and FLNA-negative PVNH patients. The results showed that FLNA mutations accounted for less than half of the PVNH patients, and FLNA-positive patients were more likely to have extra-cerebral features compared with FLNA-negative patients.
BIOMEDICAL JOURNAL
(2022)
Article
Neurosciences
Kyesam Jung, B. Simon Eickhoff, V. Oleksandr Popovych
Summary: This study investigates the impact of diffusion-weighted data processing parameters on the validation results of whole-brain mathematical models informed by structural connectivity (SC). It is found that the graph-theoretical network properties of the structural connectome are influenced by tractography density, and the optimal number of total streamlines of whole-brain tractography can vary for different brain atlases.
Article
Neurosciences
Yusuf Osmanlioglu, Drew Parker, Jacob A. Alappatt, James J. Gugger, Ramon R. Diaz-Arrastia, John Whyte, Junghoon J. Kim, Ragini Verma
Summary: Traumatic brain injury (TBI) is a major public health problem characterized by the shearing of axons across the white matter, leading to cognitive deficits. Assessing network-wide structural connectivity disruptions in TBI is necessary for personalized treatment and rehabilitation planning. A novel connectomic measure called network normality score (NNS) captures the integrity of structural connectivity in TBI patients by leveraging the diffuseness of axonal injury and the heterogeneity of the disease.
HUMAN BRAIN MAPPING
(2022)
Review
Cell Biology
Daria E. A. Jensen, Virginia Leoni, Miriam C. Klein-Flugge, Klaus P. Ebmeier, Sana Suri
Summary: The study found that lower diet quality was associated with reduced brain volume and connectivity, especially in the frontal, temporal, and parietal lobes, cingulate, entorhinal cortex, and the hippocampus. Associations were also observed in connecting fibre pathways and in particular the default-mode, sensorimotor, and attention networks.
AGEING RESEARCH REVIEWS
(2021)
Article
Clinical Neurology
Stephanie S. G. Brown, Kristen Dams-O'Connor, Eric Watson, Priti Balchandani, Rebecca E. Feldman
Summary: This case study investigates the structural effects of traumatic brain injury using pre-injury and post-injury 7 Tesla MRI longitudinal data for the first time. Findings include initial volumetric changes, decreased structural connectivity, and reduced microstructural order that return to baseline 8 months post-injury, demonstrating in-depth metrics of physiological recovery. Default mode, salience, occipital, and executive function network alterations reflect patient-reported hypersomnolence, reduced cognitive processing speed, and dizziness.
FRONTIERS IN NEUROLOGY
(2021)
Article
Neuroimaging
Nicholas Parsons, Andrei Irimia, Anar Amgalan, Julien Ugon, Kerri Morgan, Sergiy Shelyag, Alex Hocking, Govinda Poudel, Karen Caeyenberghs
Summary: An emerging body of work has shown that mild traumatic brain injury (mTBI) leads to alterations in brain connectivity, but with mixed findings. This study used a novel graph metric to quantify the information capacity of synchronous brain regions in mTBI patients and found that it was related to processing speed. Additionally, increased interhemispheric connectivity was associated with improved cognitive performance at the chronic post-injury interval.
NEUROIMAGE-CLINICAL
(2023)
Article
Neurosciences
Ling-yin Kong, Yuan-yuan Huang, Bing-ye Lei, Peng-fei Ke, He-hua Li, Jing Zhou, Dong-sheng Xiong, Gui-xiang Li, Jun Chen, Xiao-bo Li, Zhi-ming Xiang, Yu-ping Ning, Feng-chun Wu, Kai Wu
Summary: This study revealed significantly increased SC-FC coupling strength in CSZ patients compared to FeSZ patients, as well as significantly decreased SC-FC coupling strength at the node strength level in FeSZ patients compared to NCs, with the coupling strength positively correlated with negative PANSS scores.
Article
Neurosciences
Xuehu Wei, Helyne Adamson, Matthias Schwendemann, Tomas Goucha, Angela D. Friederici, Alfred Anwander
Summary: The current study investigated the differences in brain white matter connections between native speakers of German and Arabic. German speakers showed stronger connectivity in a language network associated with complex syntax processing, while Arabic speakers exhibited stronger connectivity between semantic language regions and inter-hemispheric connections. These findings suggest that the structural language connectome is influenced by the linguistic characteristics of the native language.
Article
Neurosciences
Ahmed M. Radwan, Louise Emsell, Jeroen Blommaert, Andrey Zhylka, Silvia Kovacs, Tom Theys, Nico Sollmann, Patrick Dupont, Stefan Sunaert
Summary: Virtual Brain Grafting (VBG) is a new solution for reliable parcellation of MRI datasets in the presence of various focal brain pathologies, providing a convenient tool for neuroimaging analyses.
Article
Neurosciences
Aina Frau-Pascual, Jean Augustinack, Divya Varadarajan, Anastasia Yendiki, David H. Salat, Bruce Fischl, Iman Aganj
Summary: This study used a structural connectivity quantification measure derived from diffusion magnetic resonance imaging to analyze brain connectivity in dementia, showing expected trends of conductance with age and cognitive scores, and potential for prediction. The measure could be useful for studying effects such as anticorrelation in structural connections.
BRAIN CONNECTIVITY
(2021)
Review
Neurosciences
Marina A. Pavlova
JOURNAL OF NEUROSCIENCE RESEARCH
(2017)
Article
Clinical Neurology
Ingeborg Kraegeloh-Mann, Karen Lidzba, Marina A. Pavlova, Marko Wilke, Martin Staudt
Article
Multidisciplinary Sciences
Marina A. Pavlova, Julie Heiz, Alexander N. Sokolov, Andreas J. Fallgatter, Koviljka Barisnikov
Article
Multidisciplinary Sciences
Marina A. Pavlova, Michele Guerreschi, Lucia Tagliavento, Filippo Gitti, Alexander N. Sokolov, Andreas J. Fallgatter, Elisa Fazzi
SCIENTIFIC REPORTS
(2017)
Article
Anatomy & Morphology
Arseny A. Sokolov, Peter Zeidman, Michael Erb, Philippe Ryvlin, Marina A. Pavlova, Karl J. Friston
BRAIN STRUCTURE & FUNCTION
(2019)
Article
Multidisciplinary Sciences
Arseny A. Sokolov, Peter Zeidman, Michael Erb, Philippe Ryvlin, Karl J. Friston, Marina A. Pavlova
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2018)
Article
Psychiatry
Rebecca Rolf, Alexander N. Sokolov, Tim W. Rattay, Andreas J. Fallgatter, Marina A. Pavlova
SCHIZOPHRENIA RESEARCH
(2020)
Article
Multidisciplinary Sciences
Arseny A. Sokolov, Peter Zeidman, Michael Erb, Frank E. Pollick, Andreas J. Fallgatter, Philippe Ryvlin, Karl J. Friston, Marina A. Pavlova
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Editorial Material
Neurosciences
Annie Duchesne, Belinda Pletzer, Marina A. Pavlova, Meng-Chuan Lai, Gillian Einstein
FRONTIERS IN NEUROSCIENCE
(2020)
Article
Neurosciences
Julian Kubon, Alexander N. Sokolov, Rebecca Popp, Andreas J. Fallgatter, Marina A. Pavlova
Summary: The latest research on depression and social functioning suggests that individuals with depression display intact face responsiveness, but their face tuning may rely on altered behavioral strategies and brain mechanisms. Gender does not have a significant impact on face tuning in either depression or typical individuals. The findings have implications for mental well-being under current pandemic conditions, indicating that abnormal social functioning in depression may be a result of deeply-rooted maladaptive strategies rather than poor sensitivity to social signals.
Article
Multidisciplinary Sciences
Marina A. Pavlova, Valentina Romagnano, Andreas J. Fallgatter, Alexander N. Sokolov
Article
Neurosciences
Arseny A. Sokolov, Peter Zeidman, Adeel Razi, Michael Erb, Philippe Ryvlin, Marina A. Pavlova, Karl J. Friston
NETWORK NEUROSCIENCE
(2020)
Article
Psychology, Multidisciplinary
Sara Isernia, Alexander N. Sokolov, Andreas J. Fallgatter, Marina A. Pavlova
FRONTIERS IN PSYCHOLOGY
(2020)
Article
Psychology, Multidisciplinary
Marina A. Pavlova, Jessica Galli, Federica Pagani, Serena Micheletti, Michele Guerreschi, Alexander N. Sokolov, Andreas J. Fallgatter, Elisa M. Fazzi
FRONTIERS IN PSYCHOLOGY
(2018)
Article
Neurosciences
Marina A. Pavlova, Michael Erb, Gisela E. Hagberg, Joana Loureiro, Alexander N. Sokolov, Klaus Scheffler