Article
Neurosciences
Jonathan Wirsich, Joao Jorge, Giannina Rita Iannotti, Elhum A. Shamshiri, Frederic Grouiller, Rodolfo Abreu, Francois Lazeyras, Anne-Lise Giraud, Rolf Gruetter, Sepideh Sadafhiani, Serge Vulliemoz
Summary: EEG and fMRI are non-invasive methods to show complementary aspects of human brain activity, with indirectly coupled blood-oxygenation and neurophysiological recordings. The reliability of the resting-state functional connectivity involves complex factors between different setups.
Article
Neurosciences
Marlena Duda, Danai Koutra, Chandra Sripada
Summary: This study investigates the presence of dynamic functional connectivity during rest and proposes a data-driven framework for studying cognitive neuroscience questions using connectivity changes. The framework outperforms the traditional sliding window approach in accuracy and computational efficiency when applied to working memory task data. Additionally, when applied to resting state fMRI data, the method consistently identifies five reliable FC states which show significant correlation with behavioral phenotypes.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Stefan J. Teipel, Katharina Brueggen, Anna Gesine Marie Temp, Kristina Jakobi, Marc-Andre Weber, Christoph Berger
Summary: The study revealed that compared with healthy controls, Alzheimer's disease (AD) patients show an anteriorisation of EEG microstate topologies and reduced spatial expression of default mode networks and increased frontal lobe networks in resting state functional MRI (rs-fMRI). Analysis of the time courses of EEG microstates and corresponding rs-fMRI networks found prevalent negative correlations in controls. This suggests a potential breakdown of anterior-to-posterior connectivity in AD patients.
FRONTIERS IN NEUROLOGY
(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
Emily S. Finn, Monica D. Rosenberg
Summary: The focus of studying variability in functional connectivity should be on behavior prediction rather than solely on optimizing reliability.
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
Multidisciplinary Sciences
Young Hye Kwon, Kwangsun Yoo, Hillary Nguyen, Yong Jeong, Marvin M. Chun
Summary: The study found that multilingual children outperform monolinguals in working-memory tasks and can be distinguished from monolinguals based on their whole-brain functional connectome. There were differences in functional connectivity between multilinguals and monolinguals during tasks and at rest, but not during a stop-signal task. Multilinguals showed a significant correlation between observed behavior and connectome-predicted performance scores, while monolinguals did not show this correlation.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Neurosciences
Zhongyan Shi, Bo Jiang, Tiantian Liu, Li Wang, Guangying Pei, Dingjie Suo, Jian Zhang, Shintaro Funahashi, Jinglong Wu, Tianyi Yan
Summary: Individual-level cortical segmentation can provide additional individual information compared to group-level mapping studies in Parkinson's disease (PD). Functional connectivity analysis at the individual level is beneficial for clinical markers and treatment prediction. The study identified individualized functional connectivity between the visual network and sensorimotor network as a potential marker for estimating motor symptom severity in early-stage PD.
Article
Chemistry, Analytical
Tracy Warbrick
Summary: Simultaneous EEG-fMRI has become a mature measurement technique with significant advances in technology and analysis in the past 25 years, contributing to various research fields. This review provides an introduction to the measurement principles and advantages of combining EEG and fMRI, addresses the challenges of their integration, and discusses the major application areas and emerging trends in EEG-fMRI research.
Article
Neurosciences
Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng
Summary: This study analyzed large-scale resting-state functional magnetic resonance imaging data and identified transitions between sensory, somatomotor, and internal mentation networks in the resting brain. With increasing age, the internal mentation network becomes more prevalent, while sensory and somatomotor networks are more frequently expressed in younger individuals. The findings demonstrate the dynamic patterns of transition between functionally specialized brain states associated with age.
Article
Neurosciences
Anees Abrol, Zening Fu, Yuhui Du, Tony W. W. Wilson, Yu-Ping Wang, Julia M. M. Stephen, Vince D. D. Calhoun
Summary: The brain's functional architecture and organization undergo continuous development and modification throughout adolescence. This study systematically evaluated over 47,000 youth and adult brains to examine time-resolved functional connectivity patterns and found distinct differences between the two life stages, indicating an overall inverted U-shaped trajectory in the strengthening and modularization of functional coupling. These findings suggest greater synchrony and integration of the brain's functional connections beyond adolescence, with a gradual decline during healthy aging.
HUMAN BRAIN MAPPING
(2023)
Article
Psychology, Biological
Jiangzhou Sun, Jingyi Zhang, Qunlin Chen, Wenjing Yang, Dongtao Wei, Jiang Qiu
Summary: Both psychological resilience and creativity have positive effects on individual adaptation and show overlaps in brain regions and functional networks. This study demonstrates that psychological resilience and creativity share a common brain functional basis and provides insights into promoting individual positive adaptation through creative ways.
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
Neurosciences
Suyu Bi, Yun Guan, Lixia Tian
Summary: Both movie and resting-state functional MRI are effective and promising techniques for predicting brain age, but there are some differences in connectivity properties, particularly involving components of the default mode network.
Article
Multidisciplinary Sciences
David Pascucci, Sebastien Tourbier, Joan Rue-Queralt, Margherita Carboni, Patric Hagmann, Gijs Plomp
Summary: The VEPCON dataset is a multimodal neuroimaging dataset that includes EEG, MRI, DWI, and behavioral data. It can contribute to the development of multimodal methods and the study of structure-function relations.
Review
Psychiatry
Rebecca Lee, Samuel P. Leighton, Lucretia Thomas, Georgios Gkoutos, Stephen J. Wood, Sarah-Jane H. Fenton, Fani Deligianni, Jonathan Cavanagh, Pavan K. Mallikarjun
Summary: This study aims to systematically review the evidence for prediction models developed for predicting poor outcome in first-episode psychosis (FEP). Thirteen studies reporting 31 prediction models were included, but none of the models have been applied to clinical practice yet.
BRITISH JOURNAL OF PSYCHIATRY
(2022)
Article
Computer Science, Artificial Intelligence
Yao Guo, Daniel Freer, Fani Deligianni, Guang-Zhong Yang
Summary: Monitoring mental workload of operators in space telerobotic training and teleoperation tasks is crucial. This study investigates the impact of time-pressure and latency on space teleoperation, using eye-tracking technology for mental workload estimation and performance evaluation. Significant eye-tracking features such as fixation duration, saccade frequency and duration, pupil diameter, and pupillary activity index are identified for mental workload estimation and task performance evaluation.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2022)
Editorial Material
Clinical Neurology
Brunno Machado De Campos, Maria Centeno, Ana Carolina Coan, Fernando Cendes
FRONTIERS IN NEUROLOGY
(2022)
Review
Clinical Neurology
Matea Rados, Brian Mouthaan, Peter Barsi, David Carmichael, Rolf A. Heckemann, Anna Kelemen, Teia Kobulashvili, Giorgi Kuchukhidze, Petr Marusic, Krasimir Minkin, Martin Tisdall, Eugen Trinka, Tim Veersema, Sjoerd B. Vos, Jan Wagner, Kees Braun, Pieter van Eijsden
Summary: MRI plays a crucial role in the presurgical evaluation of epilepsy patients. Higher field strengths, such as 3T and 7T, can improve lesion detection rates. Dedicated MRI protocols and evaluation by experienced epilepsy neuroradiologists can also enhance lesion detection. Apparent diffusion coefficient indices and DTI provide additional diagnostic information.
EPILEPTIC DISORDERS
(2022)
Review
Clinical Neurology
Rory J. Piper, R. Mark Richardson, Gregory Worrell, David W. Carmichael, Torsten Baldeweg, Brian Litt, Timothy Denison, Martin M. Tisdall
Summary: Epilepsy is a disorder of brain networks, and researchers are identifying critical nodes within these networks to target therapies for seizures. Intracranial neuromodulation has proven effective in reducing seizures in both adults and children, and the convergence of these fields is driving a new era of network-guided neuromodulation for epilepsy. This review summarizes the current literature on network mechanisms underlying neurostimulation for epilepsy, focusing on key propagation points in the epileptogenic network. The authors discuss current clinical targets, such as the thalamic nuclei, as well as emerging targets like the pulvinar of the thalamus and the cerebellum. They also report on findings from various modalities of investigation, including EEG and MRI, that reveal the structural and functional networks associated with these propagation points. The authors emphasize the importance of using network analyses to determine patient eligibility for neurostimulation and delivering personalized stimulation based on individual epileptogenic networks.
Article
Neurosciences
Joan Y. W. Liu, Hassan B. Hawsawi, Niraj Sharma, David W. Carmichael, Beate Diehl, Maria Thom, Louis Lemieux
Summary: This study provides evidence on the safety of conducting functional MRI in the presence of implanted EEG electrodes. The findings suggest that low-SAR sequences used in icEEG-fMRI at 1.5T with a head-transmit RF coil does not cause measurable additional damage to the brain tissue near the implanted electrodes. The study's approach serves as a useful framework for assessing the safety of MR scanning with brain implants in the future.
Article
Clinical Neurology
E. Conde-Blanco, J. C. Pariente, M. Carreno, T. Boget, S. Pascual-Diaz, M. Centeno, I Manzanares, A. Donaire, L. Pintor, J. Rumia, P. Roldan, X. Setoain, N. Bargallo
Summary: This study aimed to evaluate differences in memory lateralization between patients with temporal lobe epilepsy and healthy controls using fMRI. The results showed that patients with left temporal lobe epilepsy had a higher proportion of atypical verbal memory compared to healthy controls, and bilateral lateralization indexes were more common than right lateralization indexes. Atypical verbal memory may be associated with higher cognitive scores in patients.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ayse Sila Dokumaci, Fraser R. Aitken, Jan Sedlacik, Pip Bridgen, Raphael Tomi-Tricot, Ronald Mooiweer, Katy Vecchiato, Tom Wilkinson, Chiara Casella, Sharon Giles, Joseph Hajnal, Shaihan J. Malik, Jonathan O'Muircheartaigh, David W. Carmichael
Summary: In this study, an optimized MP2RAGE protocol at 7 Tesla was developed to provide T1-weighted uniform image and gray matter-dominant fluid and white matter suppression contrast images simultaneously in a clinically applicable acquisition time. The results showed that high-contrast images with excellent anatomical detail could be obtained using the optimized parameter set.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Clinical Neurology
Mirja Steinbrenner, Amy McDowell, Maria Centeno, Friederike Moeller, Suejen Perani, Sara Lorio, Danilo Maziero, David W. Carmichael
Summary: EEG-fMRI is a useful additional test for localizing the epileptogenic zone (EZ) in MRI negative cases, but subject motion poses a challenge. Prospective motion correction (PMC) is used for fMRI, and retrospective EEG correction is compared for artifact correction. Results show that PMC significantly reduces motion and retrospective EEG correction allows visualization and identification of noise and discharges. This study demonstrates the feasibility and clinical usefulness of combining PMC with retrospective EEG correction in the presence of subject motion.
Article
Computer Science, Information Systems
Nicole Lai-Tan, Marios G. G. Philiastides, Fahim Kawsar, Fani Deligianni
Summary: Music therapy is a successful intervention that improves patient outcomes in neurological and mood disorders, without adverse effects. The interaction of music with brain networks explains its efficacy in motor rehabilitation, emotional regulation, and cardiovascular health. The potential for personalized and automated music selection processes to enhance quality of life and reduce stress requires further exploration.
IEEE PERVASIVE COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez- Reyes, Daniel C. Alexander
Summary: Low-field (<1T) MRI scanners are widely used in low- and middle-income countries and have some applications in higher income countries. However, the images produced by low-field MRIs usually have lower resolution and poorer contrast compared to high-field MRIs. In this study, we propose an Image Quality Transfer (IQT) method to enhance low-field structural MRI by estimating the image that would have been obtained from the same subject at high-field. Our approach uses a stochastic low-field image simulator and an anisotropic U-Net variant specifically designed for the IQT inverse problem. We evaluated the algorithm using simulation and real clinical low-field MRI data, and demonstrated the efficacy of IQT in improving contrast and resolution of low-field MR images.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Clinical Neurology
Rory J. J. Piper, Debayan Dasgupta, Maria H. H. Eriksson, Mathilde Ripart, Almira Moosa, Aswin Chari, Kiran K. K. Seunarine, Chris A. A. Clark, John S. S. Duncan, David W. W. Carmichael, Martin M. M. Tisdall, Torsten Baldeweg
Summary: This study aimed to investigate the association between a greater extent of resection of the temporal portion of the piriform cortex and seizure freedom in children undergoing anterior temporal lobe resection for temporal lobe epilepsy. The results showed that in children with ipsilateral hippocampal atrophy, a greater extent of temporal piriform cortex resection was associated with a higher chance of seizure freedom. However, in the overall study group, the extent of piriform cortex resection was not associated with seizure outcome.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Review
Behavioral Sciences
Katarina Ilic, Rita Bertani, Neda Lapteva, Panagis Drakatos, Alessio Delogu, Kausar Raheel, Matthew Soteriou, Carlotta Mutti, Joerg Steier, David W. Carmichael, Peter J. Goadsby, Adam Ockelford, Ivana Rosenzweig
Summary: This article systematically reviews the presence and nature of visual imagery in the dreams of congenitally blind people. Studies suggest that the blind occipital cortex may integrate non-visual sensory inputs and generate visuo-spatial impressions. Visual impressions have also been reported in near-death or out-of-body experiences of blind individuals. Understanding the mechanistic nature of these visual impressions could have potential implications for utilizing neuroplasticity in the treatment of neurodisability.
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2023)
Meeting Abstract
Clinical Neurology
A. Chari, J. Sedlacik, K. Seunarine, R. Piper, P. Hales, K. Shmueli, K. Mankad, U. Lobel, C. Eltze, F. Moeller, R. Scott, M. Tisdall, H. Cross, D. Carmichael