Article
Neurosciences
Benjamin A. Philip, Mark P. McAvoy, Scott H. Frey
Summary: The study identified right superior parietal lobule as potentially key in supporting compensation with the left hand, predicting left-hand skill learning through convergent functional connections from the left primary motor cortex and left intraparietal sulcus.
BRAIN CONNECTIVITY
(2021)
Article
Engineering, Biomedical
Cooper J. Mellema, Albert A. Montillo
Summary: This study aims to propose new measures of human brain connectivity to address gaps in the existing measures and facilitate the study of brain function, cognitive capacity, and early markers of human disease. Two new measures of functional and effective connectivity are proposed, using machine learning techniques to capture linear and nonlinear aspects of brain associations. The proposed measures demonstrate higher reproducibility and predictive power compared to traditional measures.
JOURNAL OF NEURAL ENGINEERING
(2023)
Review
Neurosciences
Laurentius Huber (Renzo), Emily S. Finn, Yuhui Chai, Rainer Goebel, Ruediger Stirnberg, Tony Stoecker, Sean Marrett, Kamil Uludag, Seong-Gi Kim, SoHyun Han, Peter A. Bandettini, Benedikt A. Poser
Summary: Recent advances in fMRI technology have enabled researchers to study information processing in the cortical layers more effectively, particularly in terms of connectivity. However, layer-fMRI still faces challenges that require more flexible and precise methods to address. This article describes newly developed acquisition methodologies that can provide more comprehensive data for investigating brain network connections.
PROGRESS IN NEUROBIOLOGY
(2021)
Article
Clinical Neurology
Merav Catalogna, Amir Hadanny, Yoav Parag, Moran Adler, Vicktoria Elkarif, Shai Efrati
Summary: This study investigates the neural response mechanisms and functional reorganization underlying hyperbaric oxygen therapy (HBOT)-induced motor rehabilitation in a chronic post-stroke patient suffering from severe upper-limb motor impairment. The results show that HBOT improved motor functions and increased brain functional connectivity in the patient.
FRONTIERS IN NEUROLOGY
(2023)
Article
Neurosciences
Kylie Isenburg, Thomas M. Morin, Maya L. Rosen, David C. Somers, Chantal E. Stern
Summary: Studies have found that certain brain regions are activated during attentional deployment via long-term memories. We conducted an analysis of task-based functional connectivity to study the communication between these brain regions underlying long-term memory guided attention. Our results showed that different subnetworks, such as default mode, cognitive control, and dorsal attention, contribute differently to long-term memory guided attention, and the connectivity at the network level shifts based on attentional demands. We also found specific nodes within these subnetworks that play a crucial role in facilitating long-term memory guided attention.
Article
Neurosciences
M. Fiona Molloy, Zeynep M. Saygin
Summary: This study used neonatal data to uncover the intrinsic functional brain networks and individual differences. The study found the most individual variability in different networks among neonates, and this variability was not influenced by noise differences or differences from adult networks. Differential gene expression provided a potential explanation for the emergence of these networks and identified potential genes of interest for future research. This study revealed that neonatal connectomes can reveal individual-specific information processing units and has the potential to improve prediction of behavior and future outcomes.
Article
Neurosciences
Jungtak Park, Karolina Janacsek, Dezso Nemeth, Hyeon-Ae Jeon
Summary: This study used functional magnetic resonance imaging to investigate the whole-brain connectivity involved in statistical learning. The results showed that the activation strength in the superior frontal gyrus and other brain areas were related to statistical learning performance. The activations of the superior frontal network were most correlated with statistical learning performances. The functional connectivity between the superior frontal gyrus and brain regions involved in salience, language, and dorsal attention networks decreased during statistical learning.
Article
Clinical Neurology
Lucas E. Sainburg, Andrew P. Janson, Graham W. Johnson, Jasmine W. Jiang, Baxter P. Rogers, Catie Chang, Dario J. Englot, Victoria L. Morgan
Summary: Epilepsy surgery involves the resection of the epileptic focus and is used to treat drug-resistant focal epilepsy. However, focal brain lesions can have effects in distant brain regions. This study investigates the effects of focal disconnections in the brain network on function in distant brain regions using epilepsy surgery.
Article
Neurosciences
Siyuan Gao, Xinyue Xia, Dustin Scheinost, Gal Mishne
Summary: The study introduces a method for learning functional connectivity through smooth graph learning framework, which provides a reliable and sparse graph representation of functional brain connectivity with cognitive relevance. Results demonstrate the reliability and effectiveness of the method through fingerprinting and fluid intelligence prediction experiments.
Review
Neurosciences
Hongzan Sun, Yong He, Heqi Cao
Summary: NSFC has been funding various research programs related to fMRI over the past two decades, with increasing support particularly in the General Program and Key Program. Leading research institutes in economically developed provinces and municipalities received the most support and established close collaboration relationships. Notable achievements in data analysis methods, brain connectomes, and computational platforms as well as their applications in brain disorders were reviewed.
CNS NEUROSCIENCE & THERAPEUTICS
(2021)
Article
Neurosciences
Nicolas Honnorat, Mohamad Habes
Summary: This study compared the performance of five covariance shrinkage methods in producing reliable functional connectomes at different spatial resolutions and scans duration. The results showed that all methods significantly improved functional connectomes derived from short fMRI scans, with the Oracle Approximating Shrinkage method and the QuEST method performing the best. The study also provided shrinkage intensity charts that can be used for designing and analyzing fMRI studies.
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
Lei Wu, Vince Calhoun
Summary: The study of human brain connectivity provides insights into brain function and its relationship to behavior and cognition. Integrating structural connectivity and functional connectivity into a single framework is challenging. In this study, a new method called joint connectivity matrix independent component analysis (cmICA) is introduced, which allows for the integration of these two types of connectivity measurements using functional magnetic resonance imaging (MRI) and diffusion-weighted MRI data.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Ally Dworetsky, Benjamin A. Seitzman, Babatunde Adeyemo, Maital Neta, Rebecca S. Coalson, Steven E. Petersen, Caterina Gratton
Summary: Recent studies have focused on individual differences in the functional network organization of the human brain and have utilized this information to probabilistically map common functional systems for improved group analyses. While these functional systems exhibit core regions, they vary in their higher-variability components and demonstrate good replication across datasets.
Article
Neurosciences
Thomas M. Morin, Kylie N. Moore, Kylie Isenburg, Weida Ma, Chantal E. Stern
Summary: This study examined the symbolic and perceptual reasoning of human participants undergoing fMRI scanning using a modified Raven's Progressive Matrices Task. The findings showed that frontoparietal networks were significantly activated during abstract reasoning and exhibited flexibly-reconfigured functional connectivity when transitioning from resting state to the abstract reasoning task. In contrast, a stable network core in default and somatomotor networks was maintained across both resting and task states.
Article
Neurosciences
Quentin Welniarz, Cecile Gallea, Jean-Charles Lamy, Aurelie Meneret, Traian Popa, Romain Valabregue, Benoit Beranger, Vanessa Brochard, Constance Flamand-Roze, Oriane Trouillard, Cecilia Bonnet, Norbert Brueggemann, Pierre Bitoun, Bertrand Degos, Cecile Hubsch, Elodie Hainque, Jean-Louis Golmard, Marie Vidailhet, Stephane Lehericy, Isabelle Dusart, Sabine Meunier, Emmanuel Roze
HUMAN BRAIN MAPPING
(2019)
Article
Clinical Neurology
Fatma Gargouri, Cecile Gallea, Marie Mongin, Nadya Pyatigorskaya, Romain Valabregue, Claire Ewenczyk, Marie Sarazin, Lydia Yahia-Cherif, Marie Vidailhet, Stephane Lehericy
MOVEMENT DISORDERS
(2019)
Article
Neurosciences
Pavel Filip, Cecile Gallea, Stephane Lehericy, Ovidiu Lungu, Martin Bares
Article
Medicine, Research & Experimental
Fanny Thomas, Noomane Bouaziz, Cecile Gallea, Palmyre Schenin-King Andrianisaina, Florence Durand, Ombline Bollore, Rene Benadhira, Clemence Isaac, Sonia Braha-Zeitoun, Virginie Moulier, Antoni Valero-Cabre, Dominique Januel
Article
Biology
Lennart Verhagen, Cecile Gallea, Davide Folloni, Charlotte Constans, Darla E. A. Jensen, Harry Ahnine, Lea Roumazeilles, Mathieu Santin, Bashir Ahmed, Stephane Lehericy, Miriam C. Klein-Flugge, Kristine Krug, Rogier B. Mars, Matthew F. S. Rushworth, Pierre Pouget, Jean-Francois Aubry, Jerome Sallet
Article
Clinical Neurology
Nadya Pyatigorskaya, Lydia Yahia-Cherif, Rahul Gaurav, Claire Ewenczyk, Cecile Gallea, Romain Valabregue, Fatma Gargouri, Benoit Magnin, Bertrand Degos, Emmanuel Roze, Eric Bardinet, Cyril Poupon, Isabelle Arnulf, Marie Vidailhet, Stephane Lehericy
MOVEMENT DISORDERS
(2020)
Article
Multidisciplinary Sciences
Veronique Marchal, Jason Sellers, Melanie Pelegrini-Issac, Cecile Gallea, Eric Bertasi, Romain Valabregue, Brian Lau, Pierre Leboucher, Eric Bardinet, Marie-Laure Welter, Carine Karachi
Review
Clinical Neurology
Mark Hallett, Willem de Haan, Gustavo Deco, Reinhard Dengler, Riccardo Di Iorio, Cecile Gallea, Christian Gerloff, Christian Grefkes, Rick C. Helmich, Morten L. Kringelbach, Francesca Miraglia, Ivan Rektor, Ondrej Strycek, Fabrizio Vecchio, Lukas J. Volz, Tao Wu, Paolo M. Rossini
CLINICAL NEUROPHYSIOLOGY
(2020)
Article
Biochemistry & Molecular Biology
Cyril Atkinson-Clement, Camille-Albane Porte, Astrid de Liege, Yanica Klein, Cecile Delorme, Benoit Beranger, Romain Valabregue, Cecile Gallea, Trevor W. Robbins, Andreas Hartmann, Yulia Worbe
Summary: Tourette disorder (TD) is not generally considered a product of impulsivity, but unmedicated TD patients show increased waiting impulsivity compared to controls, which correlates with tic severity. Waiting impulsivity is related to functional connectivity of orbito-frontal cortex with caudate nucleus and structural changes within limbic areas in TD patients. The study suggests that waiting impulsivity in TD is specifically related to tic severity and certain brain structures.
MOLECULAR PSYCHIATRY
(2021)
Article
Clinical Neurology
Cecile Gallea, Benoit Wicki, Claire Ewenczyk, Sophie Rivaud-Pechoux, Lydia Yahia-Cherif, Pierre Pouget, Marie Vidailhet, Elodie Hainque
Summary: Freezing of gait in Parkinson's disease is associated with increased antisaccade latencies, which predict the onset of freezing within 5 years. Patients who developed freezing during the follow-up had longer antisaccade latencies compared to those who did not. Resting state connectivity of mesencephalic locomotor region networks was differentially associated with antisaccade latency in patients at baseline and contributed to the further increase in latency over 5 years.
Article
Clinical Neurology
Nadya Pyatigorskaya, Lydia Yahia-Cherif, Romain Valabregue, Rahul Gaurav, Fatma Gargouri, Claire Ewenczyk, Cecile Gallea, Sara Fernandez-Vidal, Isabelle Arnulf, Marie Vidailhet, Stephane Lehericy
Summary: Using multimodal MRI and PLS-PM, this study found that PD patients with RBD followed the Braak brainstem-to-cortex model of neurodegeneration, while those without RBD followed the cortex-to-brainstem model.
Article
Cell Biology
Oriane Pourchet, Marie-Pierre Morel, Quentin Welniarz, Nadege Sarrazin, Fabio Marti, Nicolas Heck, Cecile Gallea, Mohamed Doulazmi, Sergi Roig Puiggros, Juan Antonio Moreno-Bravo, Marie Vidailhet, Alain Trembleau, Philippe Faure, Alain Chedotal, Emmanuel Roze, Isabelle Dusart
Summary: Depletion of floor plate Netrin-1 in the brainstem disrupts CST midline crossing and leads to abnormal motor control, particularly causing symmetric movements. This study reveals the role of Netrin-1 in CST development and provides a mouse model replicating the characteristics of human congenital mirror movements.
Review
Neurosciences
Quentin Welniarz, Yulia Worbe, Cecile Gallea
Summary: For over two decades, mounting evidence has shown the essential role of the cerebellum in non-motor functions such as learning, conditional learning, reward, and sense of agency. While a unified model explaining its role is yet to be fully established, the forward model theory from the field of motor control provides a valuable perspective. Serving as an interface between sensorimotor function and cognition, the cerebellum participates in building expectations about behavioral outcomes and cognitive processes.
FRONTIERS IN SYSTEMS NEUROSCIENCE
(2021)
Article
Neurosciences
Quentin Welniarz, Emmanuel Roze, Benoit Beranger, Aurelie Meneret, Marie Vidailhet, Stephane Lehericy, Pierre Pouget, Mark Hallett, Sabine Meunier, Cecile Gallea
Summary: The modality of movement selection may influence the brain networks involved during the execution phase, with freely chosen movements showing increased activation in the pre-supplementary motor area, parietal, and cerebellar regions. Freely chosen movements also exhibit increased information flow between the right posterior parietal cortex and the cerebellum compared to instructed movements. This suggests that the parieto-cerebellar network is particularly engaged during freely chosen movements to monitor the congruence between intentional content and outcome.
Article
Clinical Neurology
Cecile Gallea, Benoit Wicki, Claire Ewenczyk, Sophie Rivaud-Pechoux, Lydia Yahia-Cherif, Pierre Pouget, Marie Vidailhet, Elodie Hainque
Summary: In this study, it was found that antisaccade latency can serve as a predictive marker for the onset of freezing of gait within a 5-year period in patients with Parkinson's disease. The progression of freezing of gait was correlated with worsening antisaccade latencies, and baseline antisaccade latencies were predictive of freezing onset. Resting state connectivity of mesencephalic locomotor region networks were also found to be associated with changes in antisaccade latencies in patients and healthy volunteers.