Article
Neurosciences
Ahmed Radwan, Lisa Decraene, Patrick Dupont, Nicolas Leenaerts, Cristina Simon-Martinez, Katrijn Klingels, Els Ortibus, Hilde Feys, Stefan Sunaert, Jeroen Blommaert, Lisa Mailleux
Summary: This study explored the structural brain connectomes in children with spastic unilateral cerebral palsy (uCP) and its relationship to sensory-motor function using graph theory. The results showed a hyperconnectivity pattern in the CDGM-lesion group compared to the PWM-lesion group, with higher clustering coefficient, characteristic path length, and local efficiency. The CST-wiring pattern was found to be the strongest predictor for motor function. The findings highlight the potential of structural connectomics in understanding disease severity and brain development in children with uCP.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Burke Q. Rosen, Eric Halgren
Summary: The WU-Minn Human Connectome Project (HCP) provides a dataset of advanced MRI techniques for over a thousand healthy subjects, with a focus on resting-state fMRI. A full-cortex connectome derived from probabilistic diffusion tractography revealed that connection strengths are lognormally distributed and decay exponentially with tract length, among other findings. Comparisons with existing connectivity matrices suggest that the dMRI connectome is more similar to cortico-cortico-evoked potential connectivity.
Article
Neurosciences
Michiel Cottaar, Matteo Bastiani, Nikhil Boddu, Matthew F. Glasser, Suzanne Haber, David C. van Essen, Stamatios N. Sotiropoulos, Saad Jbabdi
Summary: Many brain imaging studies measure structural connectivity with diffusion tractography, but biases in the data can limit accuracy. A new algorithm reduces these biases by modeling fiber density and orientation.
Article
Neurosciences
Rongjie Liu, Meng Li, David B. Dunson
Summary: This article introduces a human trait prediction framework based on a tractography-based representation of the brain connectome. By clustering fiber endpoints, a data-driven white matter parcellation is defined to explain individual variation and predict human traits.
Article
Neurosciences
Ana Coelho, Ricardo Magalhaes, Pedro S. Moreira, Liliana Amorim, Carlos Portugal-Nunes, Teresa Castanho, Nadine Correia Santos, Nuno Sousa, Henrique M. Fernandes
Summary: This study proposes a new CBP method based on diffusion MRI data and demonstrates its potential to accurately characterize the longitudinal alterations in brain network topology occurring during aging. The method successfully generates highly homogeneous parcels and provides a robust anatomical framework to assess aging-related changes in the brain's structural network.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Margaret Caroline Stapleton, Stefan Paul Koch, Devin Raine Everaldo Cortes, Samuel Wyman, Kristina E. Schwab, Susanne Mueller, Christopher Gordon McKennan, Philipp Boehm-Sturm, Yijen Lin Wu
Summary: Research suggests that the relationship between late-onset Alzheimer's disease (LOAD) and apolipoprotein-E (ApoE) may be related to changes in brain network structure. Using diffusion tensor imaging and graph theory analysis, significant differences were found in the brain networks of ApoE KO mice compared to WT mice, particularly in the networks involving the hippocampus, amygdala, and caudate putamen.
FRONTIERS IN NEUROSCIENCE
(2023)
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
Zhuopin Sun, Steven Meikle, Fernando Calamante
Summary: The CONNectome-based Non-Local Means (CONN-NLM) filter exploits synergies between dMRI-derived structural connectivity and PET intensity information to denoise PET images. The method improves PET image quality by reducing noise while preserving lesion contrasts, outperforming filters that do not use dMRI information. CONN-NLM represents a new avenue to exploit synergies between MRI and PET for more informative and accurate PET smoothing.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Critical Care Medicine
Timo Roine, Mehrbod Mohammadian, Jussi Hirvonen, Timo Kurki, Jussi P. Posti, Riikka S. K. Takala, Virginia F. Newcombe, Jussi Tallus, Ari J. Katila, Henna-Riikka Maanpaeae, Janek Frantzen, David Menon, Olli Tenovuo
Summary: We investigated the topology of structural brain connectivity networks and found that both global and local network properties are associated with outcome after mild traumatic brain injury. Higher normalized global efficiency, degree, and strength as well as lower small-worldness are correlated with better outcome. The local network properties of the left putamen and the left postcentral gyrus show the most prominent correlations with outcome.
JOURNAL OF NEUROTRAUMA
(2022)
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.
Review
Behavioral Sciences
Ziyang Gao, Yuan Xiao, Fei Zhu, Bo Tao, Wei Yu, Su Lui
Summary: The study conducted a systematic review and meta-analysis on connectome alterations in schizophrenia. The results showed that there were significant differences in the structural connectome, with lower segregation and integration characteristics in schizophrenia. However, there were no significant differences in the functional connectome between schizophrenia and healthy controls, except for gamma. Moderator analysis indicated that clinical and methodological factors influenced the findings. More studies are needed to clarify the changes in the functional connectome.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2023)
Article
Neurosciences
Scott Trinkle, Sean Foxley, Gregg Wildenberg, Narayanan Kasthuri, Patrick La Riviere
Summary: Diffusion MRI tractography is a noninvasive method for measuring the structural connectome in humans, but recent studies have shown limitations due to local uncertainties in fiber orientations. Geometry plays a larger role in determining the topology of graphs produced by tractography compared to neural tracers, underestimating weights at long distances and affecting the placement of network hubs. The role of spatial embedding in modular structure and network efficiency is explored in both modalities, with geometric biases inherent in tractography quantified for future validation efforts.
Article
Neurosciences
Mario Ocampo-Pineda, Simona Schiavi, Francois Rheault, Gabriel Girard, Laurent Petit, Maxime Descoteaux, Alessandro Daducci
Summary: The study introduces a new formulation for tractography that uses multilevel grouping to accurately capture the white matter arrangement, resulting in improved accuracy of tracking outcomes.
BRAIN CONNECTIVITY
(2021)
Article
Anatomy & Morphology
Sang-Han Choi, Gangwon Jeong, Young-Eun Hwang, Yong-Bo Kim, Haigun Lee, Zang-Hee Cho
Summary: This study introduced a novel cortical mapping method based on three categories of nerve fibers: projection, commissural, and association fibers. Analysis of MRI data revealed that the majority of nerve fibers in the brain are association fibers, with specific regions showing distinct distributions of projection and commissural fibers. Hemispheric asymmetries in fiber density were also observed in certain brain areas.
FRONTIERS IN NEUROANATOMY
(2021)
Article
Multidisciplinary Sciences
Holly D. H. Brown, Richard P. Gale, Andre D. Gouws, Richard J. W. Vernon, Archana Airody, Rachel L. W. Hanson, Heidi A. Baseler, Antony B. Morland
Summary: Macular degeneration (MD) leads to a progressive loss of central vision and is associated with structural changes in the grey and white matter in the posterior visual pathway. This study aimed to understand the progression of these changes over time.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
Ahmad Seif Kanaan, Sarah Gerasch, Isabel Garcia-Garcia, Leonie Lampe, Andre Pampel, Alfred Anwander, Jamie Near, Harald E. Moeller, Kirsten Mueller-Vahl
Article
Audiology & Speech-Language Pathology
Daniela Sammler, Katrin Cunitz, Sarah M. E. Gierhan, Alfred Anwander, Jens Adermann, Juergen Meixensberger, Angela D. Friederici
BRAIN AND LANGUAGE
(2018)
Article
Psychiatry
S. Schindler, L. Schmidt, M. Stroske, M. Storch, A. Anwander, R. Trampel, M. Strauss, U. Hegerl, S. Geyer, P. Schoenknecht
ACTA PSYCHIATRICA SCANDINAVICA
(2019)
Article
Neurosciences
Riccardo Cafiero, Jens Brauer, Alfred Anwander, Angela D. Friederici
Article
Multidisciplinary Sciences
Anahit Babayan, Miray Erbey, Deniz Kumral, Janis D. Reinelt, Andrea M. F. Reiter, Josefin Roebbig, H. Lina Schaare, Marie Uhlig, Alfred Anwander, Pierre-Louis Bazin, Annette Horstmann, Leonie Lampe, Vadim V. Nikulin, Hadas Okon-Singer, Sven Preusser, Andre Pampel, Christiane S. Rohr, Julia Sacher, Angelika Thoene-Otto, Sabrina Trapp, Till Nierhaus, Denise Altmann, Katrin Arelin, Maria Bloechl, Edith Bongartz, Patric Breig, Elena Cesnaite, Sufang Chen, Roberto Cozatl, Saskia Czerwonatis, Gabriele Dambrauskaite, Maria Dreyer, Jessica Enders, Melina Engelhardt, Marie Michele Fischer, Norman Forschack, Johannes Golchert, Laura Golz, C. Alexandrina Guran, Susanna Hedrich, Nicole Hentschel, Daria I. Hoffmann, Julia M. Huntenburg, Rebecca Jost, Anna Kosatschek, Stella Kunzendorf, Hannah Lammers, Mark E. Lauckner, Keyvan Mahjoory, Ahmad S. Kanaan, Natacha Mendes, Ramona Menger, Enzo Morino, Karina Naethe, Jennifer Neubauer, Handan Noyan, Sabine Oligschlaeger, Patricia Panczyszyn-Trzewik, Dorothee Poehlchen, Nadine Putzke, Sabrina Roski, Marie-Catherine Schaller, Anja Schieferbein, Benito Schlaak, Robert Schmidt, Krzysztof J. Gorgolewski, Hanna Maria Schmidt, Anne Schrimpf, Sylvia Stasch, Maria Voss, Annett Wiedemann, Daniel S. Margulies, Michael Gaebler, Arno Villringer
Article
Neurosciences
Theresa Finkl, Anja Hahne, Angela D. Friederici, Johannes Gerber, Dirk Muerbe, Alfred Anwander
Article
Anatomy & Morphology
Clara E. M. Ekerdt, Clara Kuehn, Alfred Anwander, Jens Brauer, Angela D. Friederici
BRAIN STRUCTURE & FUNCTION
(2020)
Article
Neurosciences
Fabien Balezeau, Benjamin Wilson, Guillermo Gallardo, Fred Dick, William Hopkins, Alfred Anwander, Angela D. Friederici, Timothy D. Griffiths, Christopher I. Petkov
NATURE NEUROSCIENCE
(2020)
Article
Biology
Anika Stockert, Michael Schwartze, David Poeppel, Alfred Anwander, Sonja A. Kotz
Summary: This study investigated the relationship between auditory spectro-temporal processing and temporo-cerebellar connectivity through lesion patients and healthy participants. The results suggest that the temporo-cerebellar interface may play a crucial role in encoding and modeling rapidly modulated auditory spectro-temporal properties.
Article
Neurosciences
Christa Mueller-Axt, Cornelius Eichner, Henriette Rusch, Louise Kauffmann, Pierre-Louis Bazin, Alfred Anwander, Markus Morawski, Katharina von Kriegstein
Summary: This study demonstrates that quantitative MRI methods can be used to assess the microstructural features of the human lateral geniculate nucleus (LGN) and its subdivisions, providing insights into the functional and structural characteristics of the LGN in humans.
Article
Medicine, General & Internal
Ronja Thieleking, Rui Zhang, Maria Paerisch, Kerstin Wirkner, Alfred Anwander, Frauke Beyer, Arno Villringer, A. Veronica Witte
Summary: The reproducibility of MRI assessments is crucial in clinical diagnostics and longitudinal studies, but developments in MRI hard- and software may affect the results. A study comparing DWI outcomes found that DTI measures are significantly influenced by imaging site and software, with regionally inhomogeneous biases. Harmonizing data acquisition and analysis is necessary to increase reliability and replicability of neuroimaging data in future studies.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Neurosciences
Qiuyun Fan, Cornelius Eichner, Maryam Afzali, Lars Mueller, Chantal M. W. Tax, Mathias Davids, Mirsad Mahmutovic, Boris Keil, Berkin Bilgic, Kawin Setsompop, Hong-Hsi Lee, Qiyuan Tian, Chiara Maffei, Gabriel Ramos-Llorden, Aapo Nummenmaa, Thomas Witzel, Anastasia Yendiki, Yi-Qiao Song, Chu-Chung Huang, Ching-Po Lin, Nikolaus Weiskopf, Alfred Anwander, Derek K. Jones, Bruce R. Rosen, Lawrence L. Wald, Susie Y. Huang
Summary: In the past decade, tremendous efforts have been made to advance cutting-edge MRI technology in order to map the structural connectivity in the living human brain. This review article summarizes the technical developments in using the Connectom scanner for large-scale and scientific studies of the human brain, and discusses the scientific impact of the Connectom MRI scanner.
Article
Radiology, Nuclear Medicine & Medical Imaging
Chia-Ying Liu, Marc Ramos, David Moreno-Dominguez, Vesna Prckovska, Paulo Rodrigues, Markus Blank, Franklin G. Moser, Jacob Agris
Summary: The study aimed to develop a fully automated software for evaluating the presence of gadolinium in the brain after serial injections of linear gadolinium-based contrast agent. Results showed that the automatic processing worked effectively on all studies, providing analysis of SI ratios in deep brain tissues.
JOURNAL OF MEDICAL IMAGING
(2021)
Article
Neurosciences
Cornelius Eichner, Michael Paquette, Toralf Mildner, Torsten Schlumm, Kamilla Pleh, Liran Samuni, Catherine Crockford, Roman M. Wittig, Carsten Jaeger, Harald E. Moeller, Angela D. Friederici, Alfred Anwander
Article
Clinical Neurology
Nicole E. Neef, Alfred Anwander, Christoph Buetfering, Carsten Schmidt-Samoa, Angela D. Friederici, Walter Paulus, Martin Sommer