Article
Clinical Neurology
Valeria Barletta, Elena Herranz, Constantina A. Treaba, Ambica Mehndiratta, Russell Ouellette, Gabriel Mangeat, Tobias Granberg, Jacob A. Sloane, Eric C. Klawiter, Julien Cohen-Adad, Caterina Mainero
Summary: Cortical demyelination in early stages of multiple sclerosis can be detected by a novel quantitative MRI technique known as CME mapping, which shows microstructural changes related to myelin content and is more sensitive than NODDI. These changes observed in the cortex are associated with cognitive performance.
FRONTIERS IN NEUROLOGY
(2021)
Article
Neurosciences
Maxime Donadieu, Hannah Kelly, Diego Szczupak, Jing-Ping Lin, Yeajin Song, Cecil C. C. Yen, Frank Q. Ye, Hadar Kolb, Joseph R. Guy, Erin S. Beck, Steven Jacobson, Afonso C. Silva, Pascal Sati, Daniel S. Reich
Summary: This study characterized cortical lesions in marmosets with EAE using ultrahigh-field MRI and histological analysis, finding that 65% of cortical lesions could be captured with in vivo imaging, and confirming extensive demyelination in the cortical areas of the marmoset brain.
Article
Clinical Neurology
Erin S. Beck, Josefina Maranzano, Nicholas J. Luciano, Prasanna Parvathaneni, Stefano Filippini, Mark Morrison, Daniel J. Suto, Tianxia Wu, Peter van Gelderen, Jacco A. de Zwart, Samson Antel, Dumitru Fetco, Joan Ohayon, Frances Andrada, Yair Mina, Chevaz Thomas, Steve Jacobson, Jeff Duyn, Irene Cortese, Sridar Narayanan, Govind Nair, Pascal Sati, Daniel S. Reich
Summary: Cortical lesions in multiple sclerosis patients are highly prevalent and are associated with disease progression and disability.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Seongjin Choi, Sarah Lake, Daniel M. Harrison
Summary: This study used MRI metrics to investigate the physiology and clinical importance of PRLs, finding that PRLs may be associated with demyelination, cell loss, and disruption of tissue anisotropy.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Clinical Neurology
Paolo Preziosa, Elisabetta Pagani, Raffaello Bonacchi, Laura Cacciaguerra, Andrea Falini, Maria A. Rocca, Massimo Filippi
Summary: This study characterized microstructural abnormalities in multiple sclerosis (MS) cortex using neurite orientation dispersion and density imaging (NODDI). Results showed significant neurite loss in MS normal-appearing (NA) cortex and further neurite density reduction in cortical lesions (CLs), indicating a simplification of neurite complexity. NODDI is relevant for investigating the heterogeneous pathology of the MS cortex in vivo.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2021)
Article
Multidisciplinary Sciences
Xiaoyang Chen, Liangqiong Qu, Yifang Xie, Sahar Ahmad, Pew-Thian Yap
Summary: Brain MRI provides critical soft tissue contrasts for disease diagnosis and neuroscience research. Ultra-high field strength 7T MRI allows for higher resolution and better tissue contrast and SNR, but its high costs limit its adoption. To obtain higher-quality images without 7T MRI, algorithms for synthesizing 7T images from 3T images are being developed. A dataset of paired 3T and 7T MR images of 10 healthy subjects is made available to facilitate the development and evaluation of 3T-to-7T MR image synthesis models.
Article
Cardiac & Cardiovascular Systems
Annabelle Shaffer, Noah Nigh, David Weisbaum, Aaron Anderson, Tracey Wszalek, Bradley P. Sutton, Andrew Webb, Bruce Damon, Issam Moussa, Paul M. Arnold
Summary: The use of 7 Tesla magnetic resonance imaging (MRI) is expanding in medical specialties, including clinical neurosciences and orthopedics. However, the compatibility of biomedical implants with field strengths >3 T remains a limitation. A systematic review was conducted to assess the safety of cardiovascular implants at >3 T MRI. The review identified several compatible implants based on safety outcomes.
AMERICAN JOURNAL OF CARDIOLOGY
(2023)
Article
Neurosciences
Myrte Strik, Camille J. Shanahan, Anneke van der Walt, Frederique M. C. Boonstra, Rebecca Glarin, Mary P. Galea, Trevor J. Kilpatrick, Jeroen J. G. Geurts, Jon O. Cleary, Menno M. Schoonheim, Scott C. Kolbe
Summary: The study found that ultra-high field fMRI during complex hand and foot tracking can identify subtle impairments in lower limb movements of people with multiple sclerosis, as well as upper and lower limb brain activity, effectively distinguishing impairments in minimally disabled patients.
HUMAN BRAIN MAPPING
(2021)
Article
Clinical Neurology
Vanessa Wiggermann, Verena Endmayr, Enedino Hernandez-Torres, Romana Hoeftberger, Gregor Kasprian, Simon Hametner, Alexander Rauscher
Summary: Magnetic resonance imaging (MRI) can provide important insights into multiple sclerosis (MS) by detecting focal or diffuse myelin damage or remyelination. This study used three myelin-sensitive MRI scans and histopathological measurements to evaluate the different stages of MS pathology, including chronic demyelinated and remyelinated lesions. The results showed that inactive lesions in chronic MS cases had increased myelin densities, indicating low-level remyelination.
Review
Clinical Neurology
Caterina Mainero, Constantina A. Treaba, Elena Barbuti
Summary: This review discusses current imaging approaches for detecting cortical lesions in multiple sclerosis (MS) and their clinical significance. Despite the limitations in detecting cortical lesions, they are important for MS diagnosis, prognostic evaluation, and predicting disease progression. Advances in ultra-high field MRI allow increased detection of cortical lesions and provide insights into their development, evolution, and associated pathological changes, which are relevant for understanding the pathogenesis of these lesions.
CURRENT OPINION IN NEUROLOGY
(2023)
Article
Neuroimaging
Mads A. J. Madsen, Vanessa Wiggermann, Stephan Bramow, Jeppe Romme Christensen, Finn Sellebjerg, Hartwig R. Siebner
Summary: UHF MRI, particularly 7T MRI, significantly improves the detection of cortical lesions in MS compared to 3T MRI, especially for type II-IV lesions. Progressive MS patients have approximately four times more cortical lesions than CIS/early RRMS and RRMS, with no significant difference in lesion type ratio among different MS subtypes. Despite modest sensitivity, UHF MRI still has the potential to assist clinicians in diagnosing and monitoring MS, particularly progressive MS.
NEUROIMAGE-CLINICAL
(2021)
Article
Multidisciplinary Sciences
Seongjin Choi, Margaret Spini, Jun Hua, Daniel M. Harrison
Summary: This study investigated gadolinium-induced changes in T1 relaxation time in non-enhancing MS lesions using 7T MRI, finding that Delta T1 in NELs correlated with disability and was greater and more variable in progressive forms of MS. The measurement of Delta T1 may be a potential biomarker for disease severity and treatment effect in MS.
Article
Radiology, Nuclear Medicine & Medical Imaging
Augustin Lecler, Loic Duron, Emily Charlson, Clint Kolseth, Andrea L. Kossler, Max Wintermark, Kevin Moulin, Brian Rutt
Summary: This study compared the application of 3 T and 7 T magnetic resonance imaging (MRI) in characterizing orbital lesions, and found that 7 T MRI showed better performance in lesion conspicuity, delineation of lesion margins, details of internal structure, and visibility of internal microvessels.
DIAGNOSTIC AND INTERVENTIONAL IMAGING
(2022)
Article
Clinical Neurology
Runa Geirmundsdatter Unsgard, Thanh P. Doan, Knut Kristian Nordlid, Kjell Arne Kvistad, Pal Erik Goa, Erik Magnus Berntsen
Summary: The study aimed to assess the ability of 7T MRI to detect hippocampal DWI lesions in the acute phase of TGA compared to 1.5/3T MRI. The results showed that 7T MRI significantly increased the detection rate of hippocampal DWI lesions and the proportion of patients with at least one lesion, supporting the TGA diagnosis. The hippocampal DWI lesions were also found to have higher conspicuity and were easier to categorize as true findings on 7T MRI compared to 1.5/3T MRI.
Article
Immunology
Seyedmousa Motavallihaghi, Mojgan Ghaemipanaeian, Sara Soleimani Asl, Faeze Foroughi-Parvar, Amir Hossein Maghsood
Summary: This study aimed to investigate the effect of Toxoplasma gondii infection on a multiple sclerosis (MS) mouse model. The results showed that chronic toxoplasmosis could inhibit the development of MS, reduce clinical symptoms, and decrease the levels of inflammatory cells and cytokines. These findings suggest that chronic toxoplasmosis may have therapeutic potential for MS.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2023)
Article
Oncology
Philipp Vollmuth, Martha Foltyn, Raymond Y. Huang, Norbert Galldiks, Jens Petersen, Fabian Isensee, Martin J. van den Bent, Frederik Barkhof, Ji Eun Park, Yae Won Park, Sung Soo Ahn, Gianluca Brugnara, Hagen Meredig, Rajan Jain, Marion Smits, Whitney B. Pope, Klaus Maier-Hein, Michael Weller, Patrick Y. Wen, Wolfgang Wick, Martin Bendszus
Summary: This study aimed to assess the reproducibility and standardization of treatment response assessment using artificial intelligence (AI) decision support in MRI. The results showed that AI decision support can provide better evaluation of treatment response in patients with lower-grade gliomas compared to manual measurements.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jarith L. Ebenau, Denise Visser, Sander C. J. Verfaillie, Tessa Timmers, Mardou S. S. A. van Leeuwenstijn, Mara ten Kate, Albert D. Windhorst, Frederik Barkhof, Philip Scheltens, Niels D. Prins, Ronald Boellaard, Wiesje M. van der Flier, Bart N. M. van Berckel
Summary: This study investigated the associations between cerebral blood flow (CBF), amyloid burden, and cognition in cognitively normal individuals with subjective cognitive decline (SCD). The results suggest that amyloid accumulation and decrease in rCBF are two parallel disease processes without a fixed order, and both provide unique predictive information for cognitive decline, with each process enhancing the other longitudinally.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Clinical Neurology
Ren Wei, Xiaolu Xu, Yunyun Duan, Ningnannan Zhang, Jie Sun, Haiqing Li, Yuxin Li, Yongmei Li, Chun Zeng, Xuemei Han, Fuqing Zhou, Muhua Huang, Runzhi Li, Zhizheng Zhuo, Frederik Barkhof, James H. Cole, Yaou Liu
Summary: This study evaluated the clinical significance of deep learning-derived brain age prediction in NMOSD and RRMS. The results showed that both NMOSD and RRMS patients had a significantly higher brain age gap compared to healthy controls. The brain age gap was associated with baseline disability score, advanced brain volume loss, and disease duration. Additionally, the brain age gap predicted the worsening of disability status in both NMOSD and RRMS patients.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Article
Clinical Neurology
Rosa Cortese, Ferran Prados Carrasco, Carmen Tur, Alessia Bianchi, Wallace Brownlee, Floriana De Angelis, Isabel de la Paz, Francesco Grussu, Lukas Haider, Anu Jacob, Baris Kanber, Lise Magnollay, Richard S. Nicholas, Anand Trip, Marios Yiannakas, Ahmed T. Toosy, Yael Hacohen, Frederik Barkhof, Olga Ciccarelli
Summary: This study investigated whether imaging characteristics could differentiate between relapsing-remitting multiple sclerosis (RRMS), aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4-NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The results showed that the proportion of lesions with the central vein sign (CVS) was the most accurate measure to differentiate RRMS from AQP4-NMOSD, while white matter lesions were the most accurate measure to discriminate RRMS from MOGAD.
Review
Clinical Neurology
Sophie A. Martin, Florence J. Townend, Frederik Barkhof, James H. Cole
Summary: Machine learning research for automated dementia diagnosis is growing in popularity, but its clinical impact has been limited so far. The challenge lies in developing robust and generalizable models that can provide reliable explanations for their decisions. Some models are inherently interpretable, while post hoc explainability methods can be used for other models.
ALZHEIMERS & DEMENTIA
(2023)
Letter
Clinical Neurology
P. M. Cogswell, C. R. Jack Jr, J. A. Barakos, F. Barkhof, T. S. Benzinger, C. A. Raji, T. Y. Poussaint, V. K. Ramanan, C. T. Whitlow
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Clinical Neurology
Alberto Calvi, Margareta A. Clarke, Ferran Prados, Declan Chard, Olga Ciccarelli, Manel Alberich, Deborah Pareto, Marta Rodriguez Barranco, Jaume Sastre-Garriga, Carmen Tur, Alex Rovira, Frederik Barkhof
Summary: This study found that chronic active lesions in magnetic resonance imaging (MRI), known as slowly expanding lesions (SELs) and paramagnetic rim lesions (PRLs), are associated with greater clinical progression in multiple sclerosis (MS) patients. SELs are more numerous than PRLs in MS patients.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Editorial Material
Clinical Neurology
Ludwig Kappos, Frederik Barkhof, Bernard Uitdehaag
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Jieqing Jiao, Fiona Heeman, Rachael Dixon, Catriona Wimberley, Isadora Lopes Alves, Juan Domingo Gispert, Adriaan A. Lammertsma, Bart N. M. van Berckel, Casper da Costa-Luis, Pawel Markiewicz, David M. Cash, M. Jorge Cardoso, Sebastien Ourselin, Maqsood Yaqub, Frederik Barkhof
Summary: This paper introduces a Python-based software package called NiftyPAD for versatile analyses of dynamic PET data. NiftyPAD can handle dual-time window scans, pharmacokinetic modelling, and PET data-based motion correction. It produces comparable results with established software packages and has the advantages of multi-platform usage, modular setup, and lightweight.
Review
Clinical Neurology
Zoe Mendelsohn, Hugh G. Pemberton, James Gray, Olivia Goodkin, Ferran Prados Carrasco, Michael Scheel, Jawed Nawabi, Frederik Barkhof
Summary: This article provides a systematic review of commercial QReports for multiple sclerosis (MS), highlighting limited evidence regarding clinical validation and in-use evaluation, particularly the lack of clinician end-user testing. The review aims to provide clinicians and institutions with the available evidence when considering adopting a quantitative reporting tool for MS.
Review
Radiology, Nuclear Medicine & Medical Imaging
Gilbert Hangel, Barbara Schmitz-Abecassis, Nico Sollmann, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo-Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernandez-Seara, Julia Furtner, Elies Fuster-Garcia, Matthew Grech-Sollars, N. Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. Keil, Mina Kim, Johan A. F. Koekkoek, Simran Kukran, Laura Mancini, Ruben Emanuel Nechifor, Alpay Ozcan, Esin Ozturk-Isik, Senol Piskin, Kathleen M. Schmainda, Siri F. Svensson, Chih-Hsien Tseng, Saritha Unnikrishnan, Frans Vos, Esther Warnert, Moss Y. Zhao, Radim Jancalek, Teresa Nunes, Lydiane Hirschler, Marion Smits, Jan Petr, Kyrre E. Emblem
Summary: Preoperative clinical MRI protocols for gliomas still rely on conventional structural MRI, which does not provide information on tumor genotype and has limitations in the delineation of diffuse gliomas. The GliMR COST action aims to raise awareness about advanced MRI techniques in gliomas and their potential clinical translation. This review summarizes current methods, limitations, and applications of advanced MRI for the preoperative assessment of glioma, and evaluates the level of clinical validation of different techniques.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Lydiane Hirschler, Nico Sollmann, Barbara Schmitz-Abecassis, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo-Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernandez-Seara, Julia Furtner, Elies Fuster-Garcia, Matthew Grech-Sollars, Nazmiye Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. Keil, Mina Kim, Johan A. F. Koekkoek, Simran Kukran, Laura Mancini, Ruben Emanuel Nechifor, Alpay Oezcan, Esin Ozturk-Isik, Senol Piskin, Kathleen Schmainda, Siri F. Svensson, Chih-Hsien Tseng, Saritha Unnikrishnan, Frans Vos, Esther Warnert, Moss Y. Zhao, Radim Jancalek, Teresa Nunes, Kyrre E. Emblem, Marion Smits, Jan Petr, Gilbert Hangel
Summary: This article introduces the preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, which still rely on conventional structural MRI. However, this method lacks information on tumor genotype and has limitations in delineating diffuse gliomas. The GliMR COST action aims to raise awareness and discuss the clinical translation of advanced MRI techniques for gliomas.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Ivar J. H. G. Wamelink, Hugo L. L. Hempel, Elsmarieke van de Giessen, Mark H. M. Vries, Philip De Witt Hamer, Frederik Barkhof, Vera C. C. Keil
Summary: This study aims to understand the experiences of patients with primary brain tumors regarding MRI, follow-up protocols, and the use of gadolinium-based contrast agents (GBCAs). The analysis of patient surveys revealed that patients consistently underestimated the number of previous scans and most patients did not find MRI bothersome and would not change the frequency of follow-up MRIs. Women were found to be more uncomfortable with the MRI and receiving intravenous cannulas. Patient knowledge of GBCAs was limited.
JOURNAL OF NEURO-ONCOLOGY
(2023)
Article
Clinical Neurology
Vinzenz Fleischer, Gabriel Gonzalez-Escamilla, Deborah Pareto, Alex Rovira, Jaume Sastre-Garriga, Piotr Sowa, Einar A. Hogestol, Hanne F. Harbo, Barbara Bellenberg, Carsten Lukas, Serena Ruggieri, Claudio Gasperini, Tomas Uher, Manuela Vaneckova, Stefan Bittner, Ahmed E. Othman, Sara Collorone, Ahmed T. Toosy, Sven G. Meuth, Frauke Zipp, Frederik Barkhof, Olga Ciccarelli, Sergiu Groppa
Summary: This study investigated the prognostic value of longitudinal structural networks in predicting 5-year Expanded Disability Status Scale (EDSS) progression in relapsing-remitting multiple sclerosis (RRMS) patients. The study found that changes in network degree and global efficiency can predict disability accumulation independent of disease activity, and these network measures outperform conventional MRI predictors in predicting EDSS worsening.
Article
Genetics & Heredity
Alexander Neumann, Olena Ohlei, Fahri Kucukali, Isabelle J. Bos, Jigyasha Timsina, Stephanie Vos, Dmitry Prokopenko, Betty M. Tijms, Ulf Andreasson, Kaj Blennow, Rik Vandenberghe, Philip Scheltens, Charlotte E. Teunissen, Sebastiaan Engelborghs, Giovanni B. Frisoni, Oliver Blin, Jill C. Richardson, Regis Bordet, Alberto Lleo, Daniel Alcolea, Julius Popp, Thomas W. Marsh, Priyanka Gorijala, Christopher Clark, Gwendoline Peyratout, Pablo Martinez-Lage, Mikel Tainta, Richard J. B. Dobson, Cristina Legido-Quigley, Christine Van Broeckhoven, Rudolph E. Tanzi, Mara ten Kate, Christina M. Lill, Frederik Barkhof, Carlos Cruchaga, Simon Lovestone, Johannes Streffer, Henrik Zetterberg, Pieter Jelle Visser, Kristel Sleegers, Lars Bertram
Summary: This study identified five genetic loci associated with cerebrospinal fluid (CSF) biomarker profiles related to Alzheimer's disease (AD), two of which were newly discovered. The study also found seven loci that showed sex-specific associations with AD biomarkers. Mediation tests revealed that variants in APOE are associated with AD status through processes related to amyloid and tau pathology, while markers in TMEM106B and CHI3L1 are associated with AD only through neuronal injury/inflammation.