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Radwan AM, Emsell L, Vansteelandt K, Cleeren E, Peeters R, De Vleeschouwer S, Theys T, Dupont P, Sunaert S. Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation. Hum Brain Mapp 2024; 45:e26662. [PMID: 38646998 PMCID: PMC11033921 DOI: 10.1002/hbm.26662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/27/2024] [Accepted: 03/08/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVES Accurate presurgical brain mapping enables preoperative risk assessment and intraoperative guidance. This cross-sectional study investigated whether constrained spherical deconvolution (CSD) methods were more accurate than diffusion tensor imaging (DTI)-based methods for presurgical white matter mapping using intraoperative direct electrical stimulation (DES) as the ground truth. METHODS Five different tractography methods were compared (three DTI-based and two CSD-based) in 22 preoperative neurosurgical patients undergoing surgery with DES mapping. The corticospinal tract (CST, N = 20) and arcuate fasciculus (AF, N = 7) bundles were reconstructed, then minimum distances between tractograms and DES coordinates were compared between tractography methods. Receiver-operating characteristic (ROC) curves were used for both bundles. For the CST, binary agreement, linear modeling, and posthoc testing were used to compare tractography methods while correcting for relative lesion and bundle volumes. RESULTS Distance measures between 154 positive (functional response, pDES) and negative (no response, nDES) coordinates, and 134 tractograms resulted in 860 data points. Higher agreement was found between pDES coordinates and CSD-based compared to DTI-based tractograms. ROC curves showed overall higher sensitivity at shorter distance cutoffs for CSD (8.5 mm) compared to DTI (14.5 mm). CSD-based CST tractograms showed significantly higher agreement with pDES, which was confirmed by linear modeling and posthoc tests (PFWE < .05). CONCLUSIONS CSD-based CST tractograms were more accurate than DTI-based ones when validated using DES-based assessment of motor and sensory function. This demonstrates the potential benefits of structural mapping using CSD in clinical practice.
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Affiliation(s)
- Ahmed Mohamed Radwan
- KU Leuven, Department of Imaging and PathologyTranslational MRILeuvenBelgium
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
| | - Louise Emsell
- KU Leuven, Department of Imaging and PathologyTranslational MRILeuvenBelgium
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- KU Leuven, Department of Neurosciences, NeuropsychiatryLeuvenBelgium
- KU Leuven, Department of Geriatric PsychiatryUniversity Psychiatric Center (UPC)LeuvenBelgium
| | - Kristof Vansteelandt
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- KU Leuven, Department of Neurosciences, NeuropsychiatryLeuvenBelgium
- KU Leuven, Department of Geriatric PsychiatryUniversity Psychiatric Center (UPC)LeuvenBelgium
| | - Evy Cleeren
- UZ Leuven, Department of NeurologyLeuvenBelgium
- UZ Leuven, Department of NeurosurgeryLeuvenBelgium
| | | | - Steven De Vleeschouwer
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- UZ Leuven, Department of NeurosurgeryLeuvenBelgium
- KU Leuven, Department of NeurosciencesResearch Group Experimental Neurosurgery and NeuroanatomyLeuvenBelgium
| | - Tom Theys
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- UZ Leuven, Department of NeurosurgeryLeuvenBelgium
- KU Leuven, Department of NeurosciencesResearch Group Experimental Neurosurgery and NeuroanatomyLeuvenBelgium
| | - Patrick Dupont
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- KU Leuven, Laboratory for Cognitive NeurologyDepartment of NeurosciencesLeuvenBelgium
| | - Stefan Sunaert
- KU Leuven, Department of Imaging and PathologyTranslational MRILeuvenBelgium
- KU Leuven, Leuven Brain Institute (LBI), Department of NeurosciencesLeuvenBelgium
- UZ Leuven, Department of RadiologyLeuvenBelgium
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De Wel B, Iterbeke L, Huysmans L, Peeters R, Goosens V, Dubuisson N, van den Bergh P, Van Parijs V, Remiche G, De Waele L, Maes F, Dupont P, Claeys KG. Lessons for future clinical trials in adults with Becker muscular dystrophy: Disease progression detected by muscle magnetic resonance imaging, clinical and patient-reported outcome measures. Eur J Neurol 2024:e16282. [PMID: 38504654 DOI: 10.1111/ene.16282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/07/2024] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND AND PURPOSE Because Becker muscular dystrophy (BMD) is a heterogeneous disease and only few studies have evaluated adult patients, it is currently still unclear which outcome measures should be used in future clinical trials. METHODS Muscle magnetic resonance imaging, patient-reported outcome measures and a wide range of clinical outcome measures, including motor function, muscle strength and timed-function tests, were evaluated in 21 adults with BMD at baseline and at 9 and 18 months of follow-up. RESULTS Proton density fat fraction increased significantly in 10/17 thigh muscles after 9 months, and in all thigh and lower leg muscles after 18 months. The 32-item Motor Function Measurement (MFM-32) scale (-1.3%, p = 0.017), North Star Ambulatory Assessment (-1.3 points, p = 0.010) and patient-reported activity limitations scale (-0.3 logits, p = 0.018) deteriorated significantly after 9 months. The 6-min walk distance (-28.7 m, p = 0.042), 10-m walking test (-0.1 m/s, p = 0.032), time to climb four stairs test (-0.03 m/s, p = 0.028) and Biodex peak torque measurements of quadriceps (-4.6 N m, p = 0.014) and hamstrings (-5.0 N m, p = 0.019) additionally deteriorated significantly after 18 months. At this timepoint, domain 1 of the MFM-32 was the only clinical outcome measure with a large sensitivity to change (standardized response mean 1.15). DISCUSSION It is concluded that proton density fat fraction imaging of entire thigh muscles is a sensitive outcome measure to track progressive muscle fat replacement in patients with BMD, already after 9 months of follow-up. Finally, significant changes are reported in a wide range of clinical and patient-reported outcome measures, of which the MFM-32 appeared to be the most sensitive to change in adults with BMD.
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Affiliation(s)
- Bram De Wel
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Louise Iterbeke
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Lotte Huysmans
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Veerle Goosens
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Nicolas Dubuisson
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Peter van den Bergh
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Vinciane Van Parijs
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Gauthier Remiche
- Department of Neurology, Centre de Référence Neuromusculaire, HUB-Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Liesbeth De Waele
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Frederik Maes
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Kristl G Claeys
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
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Liuzzi AG, Meersmans K, Peeters R, De Deyne S, Dupont P, Vandenberghe R. Semantic representations in inferior frontal and lateral temporal cortex during picture naming, reading, and repetition. Hum Brain Mapp 2024; 45:e26603. [PMID: 38339900 PMCID: PMC10836176 DOI: 10.1002/hbm.26603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 12/12/2023] [Accepted: 01/09/2024] [Indexed: 02/12/2024] Open
Abstract
Reading, naming, and repetition are classical neuropsychological tasks widely used in the clinic and psycholinguistic research. While reading and repetition can be accomplished by following a direct or an indirect route, pictures can be named only by means of semantic mediation. By means of fMRI multivariate pattern analysis, we evaluated whether this well-established fundamental difference at the cognitive level is associated at the brain level with a difference in the degree to which semantic representations are activated during these tasks. Semantic similarity between words was estimated based on a word association model. Twenty subjects participated in an event-related fMRI study where the three tasks were presented in pseudo-random order. Linear discriminant analysis of fMRI patterns identified a set of regions that allow to discriminate between words at a high level of word-specificity across tasks. Representational similarity analysis was used to determine whether semantic similarity was represented in these regions and whether this depended on the task performed. The similarity between neural patterns of the left Brodmann area 45 (BA45) and of the superior portion of the left supramarginal gyrus correlated with the similarity in meaning between entities during picture naming. In both regions, no significant effects were seen for repetition or reading. The semantic similarity effect during picture naming was significantly larger than the similarity effect during the two other tasks. In contrast, several regions including left anterior superior temporal gyrus and left ventral BA44/frontal operculum, among others, coded for semantic similarity in a task-independent manner. These findings provide new evidence for the dynamic, task-dependent nature of semantic representations in the left BA45 and a more task-independent nature of the representational activation in the lateral temporal cortex and ventral BA44/frontal operculum.
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Affiliation(s)
- Antonietta Gabriella Liuzzi
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Ronald Peeters
- Radiology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
| | - Simon De Deyne
- School of Psychological SciencesUniversity of MelbourneMelbourneAustralia
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
- Neurology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
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Lens G, Ahmadi Bidakhvidi N, Vandecaveye V, Grauwels S, Laenen A, Deckers W, Peeters R, Dresen RC, Dekervel J, Verslype C, Nackaerts K, Clement PM, Van Cutsem E, Koole M, Goffin K, Van Laere K, Deroose CM. Intra-individual qualitative and quantitative comparison of [ 68Ga]Ga-DOTATATE PET/CT and PET/MRI. Ther Adv Med Oncol 2023; 15:17588359231189133. [PMID: 37885461 PMCID: PMC10599114 DOI: 10.1177/17588359231189133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/04/2023] [Indexed: 10/28/2023] Open
Abstract
Background Somatostatin receptor (SSTR) positron emission tomography (PET) is a cornerstone of neuroendocrine tumor (NET) management. Hybrid PET/magnetic resonance imaging (MRI) is now available for NET-imaging, next to PET/computed tomography (CT). Objectives To determine whether CT or MRI is the best hybrid partner for [68Ga]Ga-DOTATATE PET. Design Monocentric, prospective study. Methods Patients received a same-day [68Ga]Ga-DOTATATE PET/CT and subsequent PET/MRI, for suspicion of NET, (re)staging or peptide receptor radionuclide therapy-selection. The union (PETunion) of malignant lesions detected on PETCT and PETMRI was the reference standard. Concordance of detection of malignant lesions in an organ was measured between PETunion and CT and PETunion and MRI. Seven bins were used to categorize the number of malignant lesions, containing following ordinal variables: 0, 1, 2-5, 6-10, 11-20, >20 countable and diffuse/uncountable. The difference in number of malignant lesions was obtained as the difference in bin level ('Δbin') between PETunion and CT and PETunion and MRI with a Δbin closer to zero implying a higher concordance rate. Results Twenty-nine patients were included. Primary tumors included 17 gastroenteropancreatic-NETs, 1 colon neuroendocrine carcinoma, 7 lung-NETs and 2 meningiomas. Patient level concordance with PETunion was 96% for MRI and 67% for CT (p = 0.039). Organ level concordance with PETunion was 74% for MRI and 40% for CT (p < 0.0001). In bone, there was a higher concordance rate for MRI compared to CT, 92% and 33%, respectively (p = 0.016). Overall, a mean Δbin of 0.5 ± 1.1 for PETunion/MRI and 1.4 ± 1.2 for PETunion/CT (p < 0.0001) was noted. In liver, a mean Δbin of 0.0 ± 1.1 for PETunion/MRI and 1.7 ± 1.2 for PETunion/CT was observed (p = 0.0078). In bone, a mean Δbin closer to zero was observed for PETunion/MRI compared to PETunion/CT, 0.6 ± 1.4 and 2.0 ± 1.5, respectively (p = 0.0098). Conclusions Compared to SSTR PET/CT, SSTR PET/MRI had a higher patient and organ level concordance for malignant tumoral involvement and number of malignant lesions, with a clear added value in bone and liver specifically.
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Affiliation(s)
- Géraldine Lens
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Niloefar Ahmadi Bidakhvidi
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | | | - Annouschka Laenen
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Leuven, Belgium
| | - Wies Deckers
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | | | | | - Jeroen Dekervel
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Chris Verslype
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | | | - Paul M. Clement
- General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Eric Van Cutsem
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Karolien Goffin
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Christophe M. Deroose
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Herestraat 49, 3000 Leuven, Flanders, Belgium
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Dietvorst S, Poels K, Van Beek K, Peeters R, De Vloo P. Adjustable shunts and proton therapy: a magnetic combination. Childs Nerv Syst 2023; 39:1995-1997. [PMID: 37162522 DOI: 10.1007/s00381-023-05984-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 05/06/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE Due to evidence for proton beam therapy (PBT) in pediatric central nervous system (CNS) tumors, compact proton therapy systems became commercially available to allow better integration in a hospital setting. However, these systems have a non-zero magnetic field at the level of the patient. Often, these patients have a cerebrospinal fluid shunt, and most of them are adjustable through a magnet. Whether the induced magnetic fields could interfere with adjustable shunts is unknown. METHODS In the first five CNS tumor patients with adjustable shunts who underwent PBT, the shunt setting was controlled before, during, and after treatment with PBT. Additionally, we used an ex vivo adjustable shunt to check if the settings could be altered by the magnetic field. RESULTS We did not observe unintentional changes in shunt settings in vivo during treatment. In ex vivo testing, the shunt settings were altered directly cranial to the exit window of PBT due to the magnetic field. CONCLUSION Although we did not observe any shunt setting alteration during PBT in this small cohort, caution is warranted. Given the lack of high-volume data, there should be a low threshold for checking the shunt setting at the end of PBT therapy or in a symptomatic patient.
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Affiliation(s)
- Sofie Dietvorst
- Department of Neurosurgery, University Hospitals Leuven, Louvain, Belgium.
| | - Kenneth Poels
- Department of Radiation Oncology, University Hospitals Leuven, Louvain, Belgium
| | - Karen Van Beek
- Department of Radiation Oncology, University Hospitals Leuven, Louvain, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Louvain, Belgium
| | - Philippe De Vloo
- Department of Neurosurgery, University Hospitals Leuven, Louvain, Belgium
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Rasooli A, Adab HZ, Van Ruitenbeek P, Weerasekera A, Chalavi S, Cuypers K, Levin O, Dhollander T, Peeters R, Sunaert S, Mantini D, Swinnen SP. White matter and neurochemical mechanisms underlying age-related differences in motor processing speed. iScience 2023; 26:106794. [PMID: 37255665 PMCID: PMC10225899 DOI: 10.1016/j.isci.2023.106794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 01/11/2023] [Accepted: 04/27/2023] [Indexed: 06/01/2023] Open
Abstract
Aging is associated with changes in the central nervous system and leads to reduced life quality. Here, we investigated the age-related differences in the CNS underlying motor performance deficits using magnetic resonance spectroscopy and diffusion MRI. MRS measured N-acetyl aspartate (NAA), choline (Cho), and creatine (Cr) concentrations in the sensorimotor and occipital cortex, whereas dMRI quantified apparent fiber density (FD) in the same voxels to evaluate white matter microstructural organization. We found that aging was associated with increased reaction time and reduced FD and NAA concentration in the sensorimotor voxel. Both FD and NAA mediated the association between age and reaction time. The NAA concentration was found to mediate the association between age and FD in the sensorimotor voxel. We propose that the age-related decrease in NAA concentration may result in reduced axonal fiber density in the sensorimotor cortex which may ultimately account for the response slowness of older participants.
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Affiliation(s)
- Amirhossein Rasooli
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Hamed Zivari Adab
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Peter Van Ruitenbeek
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Akila Weerasekera
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sima Chalavi
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Koen Cuypers
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
- REVAL Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Oron Levin
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Thijs Dhollander
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Ronald Peeters
- KU Leuven, Department of Imaging and Pathology, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- KU Leuven, Department of Imaging and Pathology, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Dante Mantini
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Stephan P. Swinnen
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
- KU Leuven Brain Institute, KU Leuven, Leuven, Belgium
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De Wel B, Huysmans L, Depuydt CE, Goosens V, Peeters R, Santos FP, Thal DR, Dupont P, Maes F, Claeys KG. Histopathological correlations and fat replacement imaging patterns in recessive limb-girdle muscular dystrophy type 12. J Cachexia Sarcopenia Muscle 2023. [PMID: 37078404 DOI: 10.1002/jcsm.13234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/13/2023] [Accepted: 03/15/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND Despite the widespread use of proton density fat fraction (PDFF) measurements with magnetic resonance imaging (MRI) to track disease progression in muscle disorders, it is still unclear how these findings relate to histopathological changes in muscle biopsies of patients with limb-girdle muscular dystrophy autosomal recessive type 12 (LGMDR12). Furthermore, although it is known that LGMDR12 leads to a selective muscle involvement distinct from other muscular dystrophies, the spatial distribution of fat replacement within these muscles is unknown. METHODS We included 27 adult patients with LGMDR12 and 27 age-matched and sex-matched healthy controls and acquired 6-point Dixon images of the thighs and T1 and short tau inversion recovery (STIR) MR images of the whole body. In 16 patients and 15 controls, we performed three muscle biopsies, one in the semimembranosus, vastus lateralis, and rectus femoris muscles, which are severely, intermediately, and mildly affected in LGMDR12, respectively. We correlated the PDFF to the fat percentage measured on biopsies of the corresponding muscles, as well as to the Rochester histopathology grading scale. RESULTS In patients, we demonstrated a strong correlation of PDFF on MRI and muscle biopsy fat percentage for the semimembranosus (r = 0.85, P < 0.001) and vastus lateralis (r = 0.68, P = 0.005). We found similar results for the correlation between PDFF and the Rochester histopathology grading scale. Out of the five patients with inflammatory changes on muscle biopsy, three showed STIR hyperintensities in the corresponding muscle on MRI. By modelling the PDFF on MRI for 18 thigh muscles from origin to insertion, we observed a significantly inhomogeneous proximo-distal distribution of fat replacement in all thigh muscles of patients with LGMDR12 (P < 0.001), and different patterns of fat replacement within each of the muscles. CONCLUSIONS We showed a strong correlation of fat fraction on MRI and fat percentage on muscle biopsy for diseased muscles and validated the use of Dixon fat fraction imaging as an outcome measure in LGMDR12. The inhomogeneous fat replacement within thigh muscles on imaging underlines the risk of analysing only samples of muscles instead of the entire muscles, which has important implications for clinical trials.
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Affiliation(s)
- Bram De Wel
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
| | - Lotte Huysmans
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Christophe E Depuydt
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
| | - Veerle Goosens
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Filipa P Santos
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
| | - Dietmar R Thal
- Department of Imaging and Pathology, Laboratory for Neuropathology, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
| | - Frederik Maes
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Kristl G Claeys
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
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Casselman J, Van der Cruyssen F, Vanhove F, Peeters R, Hermans R, Politis C, Jacobs R. 3D CRANI, a novel MR neurography sequence, can reliable visualise the extraforaminal cranial and occipital nerves. Eur Radiol 2023; 33:2861-2870. [PMID: 36435876 PMCID: PMC10017653 DOI: 10.1007/s00330-022-09269-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/04/2022] [Accepted: 10/23/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES We aim to validate 3D CRANI, a novel high-field STIR TSE, MR neurography sequence in the visualisation of the extraforaminal cranial and occipital nerve branches on a 3-T system. Furthermore, we wish to evaluate the role of gadolinium administration and calculate nerve benchmark values for future reference. METHODS Eleven consecutive patients underwent MR imaging including the 3D CRANI sequence before and immediately after intravenous gadolinium administration. Two observers rated suppression quality and nerve visualisation using Likert scales before and after contrast administration. Extraforaminal cranial and occipital nerves were assessed. Nerve calibers and signal intensities were measured at predefined anatomical landmarks, and apparent signal intensity ratios were calculated. RESULTS The assessed segments of the cranial and occipital nerves could be identified in most cases. The overall intrarater agreement was 79.2% and interrater agreement was 82.7% (intrarater κ = .561, p < .0001; interrater κ = .642, p < .0001). After contrast administration, this significantly improved to an intrarater agreement of 92.7% and interrater agreement of 93.6% (intrarater κ = .688, p < .0001; interrater κ = .727, p < .0001). Contrast administration improved suppression quality and significant changes in nerve caliber and signal intensity measurements. Nerve diameter and signal intensity benchmarking values were obtained. CONCLUSION 3D CRANI is reliable for the visualization of the extraforaminal cranial and occipital nerves. Intravenous gadolinium significantly improves MR neurography when applying this sequence. Benchmarking data are published to allow future assessment of the 3D CRANI sequence in patients with pathology of the extraforaminal cranial and occipital nerves. KEY POINTS • MR neurography using the 3D CRANI sequence is a reliable method to evaluate the extraforaminal cranial and occipital nerves. • Gadolinium contrast administration significantly improves suppression quality and nerve visualisation. • Benchmarking values including apparent signal intensity ratios and nerve calibers depend on contrast administration and might play an important role in future studies evaluating extraforaminal cranial and occipital neuropathies.
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Affiliation(s)
- Jan Casselman
- Department of Radiology, AZ St-Jan Brugge-Oostende, Ruddershove 10, 8000, Bruges, Belgium. .,Department of Radiology, AZ St-Augustinus, Antwerp, Belgium. .,University Ghent, Ghent, Belgium.
| | - Fréderic Van der Cruyssen
- Department of Oral & Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium. .,Department of Imaging and Pathology, OMFS-IMPATH Research Group, Faculty of Medicine, University Leuven, Leuven, Belgium.
| | - Frédéric Vanhove
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium.,Department of Radiology, AZ Groeninge, Kortrijk, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Robert Hermans
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Constantinus Politis
- Department of Oral & Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.,Department of Imaging and Pathology, OMFS-IMPATH Research Group, Faculty of Medicine, University Leuven, Leuven, Belgium
| | - Reinhilde Jacobs
- Department of Imaging and Pathology, OMFS-IMPATH Research Group, Faculty of Medicine, University Leuven, Leuven, Belgium.,Department of Oral Health Sciences, KU Leuven and Department of Dentistry, University Hospitals Leuven, Leuven, Belgium.,Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden
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9
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Van Ruitenbeek P, Santos Monteiro T, Chalavi S, King BR, Cuypers K, Sunaert S, Peeters R, Swinnen SP. Interactions between the aging brain and motor task complexity across the lifespan: balancing brain activity resource demand and supply. Cereb Cortex 2022; 33:6420-6434. [PMID: 36587289 PMCID: PMC10183738 DOI: 10.1093/cercor/bhac514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 01/02/2023] Open
Abstract
The Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH) proposes a framework for understanding task-related brain activity changes as a function of healthy aging and task complexity. Specifically, it affords the following predictions: (i) all adult age groups display more brain activation with increases in task complexity, (ii) older adults show more brain activation compared with younger adults at low task complexity levels, and (iii) disproportionately increase brain activation with increased task complexity, but (iv) show smaller (or no) increases in brain activation at the highest complexity levels. To test these hypotheses, performance on a bimanual tracking task at 4 complexity levels and associated brain activation were assessed in 3 age groups (20-40, 40-60, and 60-80 years, n = 99). All age groups showed decreased tracking accuracy and increased brain activation with increased task complexity, with larger performance decrements and activation increases in the older age groups. Older adults exhibited increased brain activation at a lower complexity level, but not the predicted failure to further increase brain activity at the highest complexity level. We conclude that older adults show more brain activation than younger adults and preserve the capacity to deploy increased neural resources as a function of task demand.
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Affiliation(s)
- P Van Ruitenbeek
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences, Tervuursevest 101, box 1501, 3001, Leuven, Belgium.,Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, the Netherlands
| | - T Santos Monteiro
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences, Tervuursevest 101, box 1501, 3001, Leuven, Belgium
| | - S Chalavi
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences, Tervuursevest 101, box 1501, 3001, Leuven, Belgium
| | - B R King
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences, Tervuursevest 101, box 1501, 3001, Leuven, Belgium.,Department of Health & Kinesiology; University of Utah, 250 South 1850 East, Salt Lake City, Utah 84112
| | - K Cuypers
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences, Tervuursevest 101, box 1501, 3001, Leuven, Belgium.,Neuroplasticity and Movement Control Research Group, Rehabilitation Research Institute (REVAL), Hasselt University, Agoralaan Gebouw A, 3590,Diepenbeek, Belgium
| | - S Sunaert
- KU Leuven, Department of Imaging and Pathology, Biomedical Sciences, UZ Herestraat 49, box 7003, 3000, Leuven, Belgium.,KU Leuven, Leuven Brain Institute (LBI), ON V Herestraat 49, box 1020, 3000, Leuven, Belgium
| | - R Peeters
- KU Leuven, Department of Imaging and Pathology, Biomedical Sciences, UZ Herestraat 49, box 7003, 3000, Leuven, Belgium.,KU Leuven, Leuven Brain Institute (LBI), ON V Herestraat 49, box 1020, 3000, Leuven, Belgium
| | - S P Swinnen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Biomedical Sciences,Tervuursevest 101, box 1501, 3001, Leuven, Belgium.,KU Leuven, Leuven Brain Institute (LBI), ON V Herestraat 49, box 1020, 3000, Leuven, Belgium
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10
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Zeng C, Fielding D, Peeters R, Wesselbaum D. Visual imagery skills and risk attitude. Sci Rep 2022; 12:21415. [PMID: 36496466 PMCID: PMC9741602 DOI: 10.1038/s41598-022-25627-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
Several of Kahneman and Tversky's seminal works in the 1970s found evidence of the importance of framing in decision making under risk. They hypothesized that imaginability (visual imagery ability) may play an important role in the evaluation of subjective probabilities. However, the impact of visual imagery ability on choice under risk has not yet been explored. This is the main purpose of our study. In an online experiment, we collected participants' visual imagery ability using the Vividness of Visual Imagery Questionnaire and their risk attitude using two choice-based risk elicitation tasks. Participants made their risk decisions either in an environment where risk was visualized (visual frame) or not (non-visual frame), and were randomly assigned to one of the two decision frames. Our results suggest that neither visual imagery ability nor decision frame has a substantial impact on risk attitude.
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Affiliation(s)
- Cathy Zeng
- grid.29980.3a0000 0004 1936 7830Department of Economics, University of Otago, PO Box 56, Dunedin, 9054 New Zealand
| | - David Fielding
- grid.29980.3a0000 0004 1936 7830Department of Economics, University of Otago, PO Box 56, Dunedin, 9054 New Zealand ,grid.5379.80000000121662407Global Development Institute, University of Manchester, Oxford Rd, Manchester, M13 9PL UK
| | - Ronald Peeters
- grid.29980.3a0000 0004 1936 7830Department of Economics, University of Otago, PO Box 56, Dunedin, 9054 New Zealand
| | - Dennis Wesselbaum
- grid.29980.3a0000 0004 1936 7830Department of Economics, University of Otago, PO Box 56, Dunedin, 9054 New Zealand
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11
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Gündem D, Potočnik J, De Winter FL, El Kaddouri A, Stam D, Peeters R, Emsell L, Sunaert S, Van Oudenhove L, Vandenbulcke M, Feldman Barrett L, Van den Stock J. The neurobiological basis of affect is consistent with psychological construction theory and shares a common neural basis across emotional categories. Commun Biol 2022; 5:1354. [PMID: 36494449 PMCID: PMC9734184 DOI: 10.1038/s42003-022-04324-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Affective experience colours everyday perception and cognition, yet its fundamental and neurobiological basis is poorly understood. The current debate essentially centers around the communalities and specificities across individuals, events, and emotional categories like anger, sadness, and happiness. Using fMRI during the experience of these emotions, we critically compare the two dominant conflicting theories on human affect. Basic emotion theory posits emotions as discrete universal entities generated by dedicated emotion category-specific neural circuits, while psychological construction theory claims emotional events as unique, idiosyncratic, and constructed by psychological primitives like core affect and conceptualization, which underlie each emotional event and operate in a predictive framework. Based on the findings of 8 a priori-defined model-specific prediction tests on the neural response amplitudes and patterns, we conclude that the neurobiological basis of affect is primarily characterized by idiosyncratic mechanisms and a common neural basis shared across emotion categories, consistent with psychological construction theory. The findings provide further insight into the organizational principles of the neural basis of affect and brain function in general. Future studies in clinical populations with affective symptoms may reveal the corresponding underlying neural changes from a psychological construction perspective.
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Affiliation(s)
- Doğa Gündem
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Jure Potočnik
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - François-Laurent De Winter
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Amal El Kaddouri
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Daphne Stam
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Ronald Peeters
- grid.410569.f0000 0004 0626 3338Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Louise Emsell
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Department of Radiology, University Hospitals Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- grid.410569.f0000 0004 0626 3338Department of Radiology, University Hospitals Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Lukas Van Oudenhove
- grid.5596.f0000 0001 0668 7884Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research in Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.254880.30000 0001 2179 2404Cognitive and Affective Neuroscience Lab, Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Mathieu Vandenbulcke
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Lisa Feldman Barrett
- grid.261112.70000 0001 2173 3359Department of Psychology, Northeastern University, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA USA
| | - Jan Van den Stock
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
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12
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De Wel B, Huysmans L, Peeters R, Goosens V, Ghysels S, Byloos K, Putzeys G, D'Hondt A, De Bleecker J, Dupont P, Maes F, Claeys K. P.176 Evaluation of thigh muscle fat fraction with quantitative MRI in 24 adult LGMDR12 patients over 2 years of follow-up. Neuromuscul Disord 2022. [DOI: 10.1016/j.nmd.2022.07.314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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13
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Pieterman C, Jiang J, Gerards M, Ertaylan G, Peeters R, de Kok T. P12-49 Finding the roadmap of a liver cell developing non-alcoholic fatty liver disease. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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14
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Veldman MP, Dolfen N, Gann MA, Van Roy A, Peeters R, King BR, Albouy G. Somatosensory targeted memory reactivation enhances motor performance via hippocampal-mediated plasticity. Cereb Cortex 2022; 33:3734-3749. [PMID: 35972408 DOI: 10.1093/cercor/bhac304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/11/2022] [Accepted: 07/12/2022] [Indexed: 11/14/2022] Open
Abstract
Increasing evidence suggests that reactivation of newly acquired memory traces during postlearning wakefulness plays an important role in memory consolidation. Here, we sought to boost the reactivation of a motor memory trace during postlearning wakefulness (quiet rest) immediately following learning using somatosensory targeted memory reactivation (TMR). Using functional magnetic resonance imaging, we examined the neural correlates of the reactivation process as well as the effect of the TMR intervention on brain responses elicited by task practice on 24 healthy young adults. Behavioral data of the post-TMR retest session showed a faster learning rate for the motor sequence that was reactivated as compared to the not-reactivated sequence. Brain imaging data revealed that motor, parietal, frontal, and cerebellar brain regions, which were recruited during initial motor learning, were specifically reactivated during the TMR episode and that hippocampo-frontal connectivity was modulated by the reactivation process. Importantly, the TMR-induced behavioral advantage was paralleled by dynamical changes in hippocampal activity and hippocampo-motor connectivity during task practice. Altogether, the present results suggest that somatosensory TMR during postlearning quiet rest can enhance motor performance via the modulation of hippocampo-cortical responses.
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Affiliation(s)
- Menno P Veldman
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven 3001, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven 3001, Belgium
| | - Nina Dolfen
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven 3001, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven 3001, Belgium
| | - Mareike A Gann
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven 3001, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven 3001, Belgium
| | - Anke Van Roy
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT 84112, United States
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven 3000, Belgium.,Department of Imaging and Pathology, Biomedical Sciences Group, Leuven 3000, Belgium
| | - Bradley R King
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT 84112, United States
| | - Geneviève Albouy
- KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven 3001, Belgium.,Leuven Brain Institute (LBI), KU Leuven, Leuven 3001, Belgium.,Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT 84112, United States
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15
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De Wel B, Huysmans L, Peeters R, Goosens V, Ghysels S, Byloos K, Putzeys G, D'Hondt A, De Bleecker JL, Dupont P, Maes F, Claeys KG. Prospective Natural History Study in 24 Adult Patients With LGMDR12 Over 2 Years of Follow-up: Quantitative MRI and Clinical Outcome Measures. Neurology 2022; 99:e638-e649. [PMID: 35577579 DOI: 10.1212/wnl.0000000000200708] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 03/24/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Limb-girdle muscular dystrophy autosomal recessive type 12 (LGMDR12) is a rare hereditary muscular dystrophy for which outcome measures are currently lacking. We evaluated quantitative MRI and clinical outcome measures to track disease progression to determine which tests could be useful in future clinical trials to evaluate potential therapies. METHODS We prospectively measured the following outcome measures in all participants at baseline and after 1 and 2 years: 6-minute walk distance (6MWD), 10-meter walk test (10MWT), the Medical Research Council (MRC) sum scores, Biodex isometric dynamometry, serum creatine kinase, and 6-point Dixon MRI of the thighs. RESULTS We included 24 genetically confirmed, adult patients with LGMDR12 and 24 age-matched and sex-matched healthy controls. Patients with intermediate-stage thigh muscle fat replacement at baseline (proton density fat fraction [PDFF] 20%-70%) already showed an increase in PDFF in 8 of the 14 evaluated thigh muscles after 1 year. The standardized response mean demonstrated a high responsiveness to change in PDFF for 6 individual muscles over 2 years in this group. However, in patients with early-stage (<20%) or end-stage (>70%) muscle fat replacement, PDFF did not increase significantly over 2 years of follow-up. Biodex isometric dynamometry showed a significant decrease in muscle strength in all patients in the right and left hamstrings (-6.2 Nm, p < 0.002 and -4.6 Nm, p < 0.009, respectively) and right quadriceps muscles (-9 Nm, p = 0.044) after 1 year of follow-up, whereas the 6MWD, 10MWT, and MRC sum scores were not able to detect a significant decrease in muscle function/strength even after 2 years. There was a moderately strong correlation between total thigh PDFF and clinical outcome measures at baseline. DISCUSSION Thigh muscle PDFF imaging is a sensitive outcome measure to track progressive muscle fat replacement in selected patients with LGMDR12 even after 1 year of follow-up and correlates with clinical outcome measures. Biodex isometric dynamometry can reliably capture the loss of muscle strength over the course of 1 year in patients with LGMDR12 and should be included as an outcome measure in future clinical trials as well.
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Affiliation(s)
- Bram De Wel
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Lotte Huysmans
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Ronald Peeters
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Veerle Goosens
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Stefan Ghysels
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Kris Byloos
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Guido Putzeys
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Ann D'Hondt
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Jan L De Bleecker
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Patrick Dupont
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Frederik Maes
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Kristl G Claeys
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium.
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Wang S, Chen L, Feng Y, Yin T, Yu J, De Keyzer F, Peeters R, Van Ongeval C, Bormans G, Swinnen J, Soete J, Wevers M, Li Y, Ni Y. Development and characterization of a rat brain metastatic tumor model by multiparametric magnetic resonance imaging and histomorphology. Clin Exp Metastasis 2022; 39:479-493. [PMID: 35218457 DOI: 10.1007/s10585-022-10155-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/07/2022] [Indexed: 02/06/2023]
Abstract
To facilitate the development of new brain metastasis (BM) treatment, an easy-to-use and clinically relevant animal model with imaging platform is needed. Rhabdomyosarcoma BM was induced in WAG/Rij rats. Post-implantation surveillance and characterizations were systematically performed with multiparametric MRI including 3D T1 and T2 weighted imaging, diffusion-weighted imaging (DWI), T1 and T2 mapping, and perfusion-weighted imaging (PWI), which were validated by postmortem digital radiography (DR), µCT angiography and histopathology. The translational potential was exemplified by the application of a vascular disrupting agent (VDA). BM was successfully induced in most rats of both genders (18/20). Multiparametric MRI revealed significantly higher T2 value, pre-contrast-enhanced (preCE) T1 value, DWI-derived apparent diffusion coefficient (ADC) and CE ratio, but a lower post-contrast-enhanced (postCE) T1 value in BM lesions than in adjacent brain (p < 0.01). PWI showed the dynamic and higher contrast agent uptake in the BM compared with the adjacent brain. DR, µCT and histopathology characterized the BM as hypervascular tumors. After VDA treatment, the BM showed drug-related perfusion changes and partial necrosis as evidenced by anatomical, functional MRI parameters and postmortem findings. The present BM model and imaging modalities represent a feasible and translational platform for developing BM-targeting therapeutics.
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Affiliation(s)
- Shuncong Wang
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Lei Chen
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Yuanbo Feng
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Ting Yin
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium.,MR Collaborations, Siemens Healthineers Ltd, Shanghai, China
| | - Jie Yu
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Frederik De Keyzer
- Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Chantal Van Ongeval
- Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Guy Bormans
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Johan Swinnen
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium
| | - Jeroen Soete
- KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, 3001, Leuven, Belgium
| | - Martine Wevers
- KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, 3001, Leuven, Belgium
| | - Yue Li
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium. .,Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
| | - Yicheng Ni
- KU Leuven, Biomedical Group, Campus Gasthuisberg, 3000, Leuven, Belgium. .,Department of Radiology, University Hospitals Leuven, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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Hoffmans-Holtzer N, Smolenaers L, Peeters R, Swart N, Tims O, De Pree I, Slagter C, Olofsen - van Acht M, Hoogeman M, Balvert M, Petit S. PO-1040 Robust scheduling for a One Stop Shop palliative radiotherapy clinic using genetic algorithms. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03004-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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18
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Hui SCN, Mikkelsen M, Zöllner HJ, Ahluwalia V, Alcauter S, Baltusis L, Barany DA, Barlow LR, Becker R, Berman JI, Berrington A, Bhattacharyya PK, Blicher JU, Bogner W, Brown MS, Calhoun VD, Castillo R, Cecil KM, Choi YB, Chu WCW, Clarke WT, Craven AR, Cuypers K, Dacko M, de la Fuente-Sandoval C, Desmond P, Domagalik A, Dumont J, Duncan NW, Dydak U, Dyke K, Edmondson DA, Ende G, Ersland L, Evans CJ, Fermin ASR, Ferretti A, Fillmer A, Gong T, Greenhouse I, Grist JT, Gu M, Harris AD, Hat K, Heba S, Heckova E, Hegarty JP, Heise KF, Honda S, Jacobson A, Jansen JFA, Jenkins CW, Johnston SJ, Juchem C, Kangarlu A, Kerr AB, Landheer K, Lange T, Lee P, Levendovszky SR, Limperopoulos C, Liu F, Lloyd W, Lythgoe DJ, Machizawa MG, MacMillan EL, Maddock RJ, Manzhurtsev AV, Martinez-Gudino ML, Miller JJ, Mirzakhanian H, Moreno-Ortega M, Mullins PG, Nakajima S, Near J, Noeske R, Nordhøy W, Oeltzschner G, Osorio-Duran R, Otaduy MCG, Pasaye EH, Peeters R, Peltier SJ, Pilatus U, Polomac N, Porges EC, Pradhan S, Prisciandaro JJ, Puts NA, Rae CD, Reyes-Madrigal F, Roberts TPL, Robertson CE, Rosenberg JT, Rotaru DG, O'Gorman Tuura RL, Saleh MG, Sandberg K, Sangill R, Schembri K, Schrantee A, Semenova NA, Singel D, Sitnikov R, Smith J, Song Y, Stark C, Stoffers D, Swinnen SP, Tain R, Tanase C, Tapper S, Tegenthoff M, Thiel T, Thioux M, Truong P, van Dijk P, Vella N, Vidyasagar R, Vovk A, Wang G, Westlye LT, Wilbur TK, Willoughby WR, Wilson M, Wittsack HJ, Woods AJ, Wu YC, Xu J, Lopez MY, Yeung DKW, Zhao Q, Zhou X, Zupan G, Edden RAE. Frequency drift in MR spectroscopy at 3T. Neuroimage 2021; 241:118430. [PMID: 34314848 PMCID: PMC8456751 DOI: 10.1016/j.neuroimage.2021.118430] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/18/2021] [Accepted: 07/22/2021] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites. METHOD A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC). RESULTS Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI. DISCUSSION This study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.
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Affiliation(s)
- Steve C N Hui
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mark Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Helge J Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Vishwadeep Ahluwalia
- GSU/GT Center for Advanced Brain Imaging, Georgia Institute of Technology, Atlanta, GA USA
| | - Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Laima Baltusis
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Deborah A Barany
- Department of Kinesiology, University of Georgia, and Augusta University/University of Georgia Medical Partnership, Athens, GA USA
| | - Laura R Barlow
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada
| | - Robert Becker
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jeffrey I Berman
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Adam Berrington
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | | | - Jakob Udby Blicher
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Wolfgang Bogner
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - Mark S Brown
- Department of Radiology, Medical Physics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA USA
| | - Ryan Castillo
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Kim M Cecil
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Yeo Bi Choi
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | - Koen Cuypers
- REVAL Rehabilitation Research Institute (REVAL), Hasselt University, Diepenbeek, Belgium; Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Michael Dacko
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Patricia Desmond
- Department of Radiology, University of Melbourne/ Royal Melbourne Hospital, Melbourne, Australia
| | - Aleksandra Domagalik
- Brain Imaging Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Julien Dumont
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, F-59000 Lille, France
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Ulrike Dydak
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Katherine Dyke
- School of Psychology, University of Nottingham, Nottingham, UK
| | - David A Edmondson
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA
| | - Gabriele Ende
- Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lars Ersland
- Department of Clinical Engineering, University of Bergen, Haukeland University Hospital, Bergen, Norway
| | | | - Alan S R Fermin
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Ariane Fillmer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany
| | - Tao Gong
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Ian Greenhouse
- Department of Human Physiology, University of Oregon, Eugene, OR USA
| | - James T Grist
- Department of Physiology, Anatomy, and Genetics, Oxford Centre for Magnetic Resonance / Department of Radiology, The Churchill Hospital, The University of Oxford, Oxford, UK
| | - Meng Gu
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ashley D Harris
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Katarzyna Hat
- Consciousness Lab, Institute of Psychology, Jagiellonian University, Kraków, Poland
| | - Stefanie Heba
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Eva Heckova
- Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
| | - John P Hegarty
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | | | - Shiori Honda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Aaron Jacobson
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Stephen J Johnston
- Psychology Department / Clinical Imaging Facility, Swansea University, Swansea, UK
| | - Christoph Juchem
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Alayar Kangarlu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Adam B Kerr
- Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA
| | - Karl Landheer
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY USA
| | - Thomas Lange
- Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Phil Lee
- Department of Radiology / Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS USA
| | | | - Catherine Limperopoulos
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - Feng Liu
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - William Lloyd
- Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Maro G Machizawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Erin L MacMillan
- Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada; Philips Canada, Markham, ON, Canada
| | - Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Andrei V Manzhurtsev
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - María L Martinez-Gudino
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Jack J Miller
- Department of Physics, University of Oxford, Oxford, UK; The MR Research Centre & The PET Research Centre, Aarhus University, Aarhus, DK
| | - Heline Mirzakhanian
- Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA
| | - Marta Moreno-Ortega
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY USA
| | - Paul G Mullins
- Bangor Imaging Unit, Department of Psychology, Bangor University, Bangor, Wales, UK
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Jamie Near
- Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, Canada
| | | | - Wibeke Nordhøy
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Raul Osorio-Duran
- Departamento de Imágenes Cerebrales, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Maria C G Otaduy
- LIM44, Instituto e Departamento de Radiologia, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Erick H Pasaye
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico
| | - Ronald Peeters
- Department of Imaging & Pathology, Department of Radiology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Scott J Peltier
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI USA
| | - Ulrich Pilatus
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Nenad Polomac
- Institute of Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany
| | - Eric C Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Subechhya Pradhan
- Developing Brain Institute, Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC USA
| | - James Joseph Prisciandaro
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC USA
| | - Nicolaas A Puts
- Department of Forensic & Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, King's College London, London, UK
| | - Caroline D Rae
- NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Timothy P L Roberts
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Caroline E Robertson
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA
| | - Jens T Rosenberg
- McKnight Brain Institute, AMRIS, University of Florida, Gainesville, FL USA
| | - Diana-Georgiana Rotaru
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ruth L O'Gorman Tuura
- Center for MR Research, University Children's Hospital, Zurich, University of Zurich, Switzerland
| | - Muhammad G Saleh
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Kristian Sandberg
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Ryan Sangill
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Natalia A Semenova
- Department of Radiology, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russia; Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russia
| | - Debra Singel
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rouslan Sitnikov
- Clinical Neuroscience, MRI Centre, Karolinska Institute, Stockholm, Sweden
| | - Jolinda Smith
- Lewis Center for Neuroimaging, University of Oregon, Eugene, OR USA
| | - Yulu Song
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Craig Stark
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Diederick Stoffers
- Spinoza Centre for Neuroimaging, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | | | - Rongwen Tain
- Department of Neurobiology and Behavior, Facility for Imaging and Brain Research (FIBRE) & Campus Center for Neuroimaging (CCNI), School of Biological Sciences, University of California, Irvine, Irvine, CA USA
| | - Costin Tanase
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Imaging Research Center, Davis, CA USA
| | - Sofie Tapper
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Martin Tegenthoff
- Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Thomas Thiel
- Institute of Clinical Neuroscience and Medical Psychology, University Dusseldorf, Medical Faculty, Düsseldorf, Germany
| | - Marc Thioux
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Truong
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Canada
| | - Pim van Dijk
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nolan Vella
- Medical Physics, Mater Dei Hospital, Imsida, Malta
| | - Rishma Vidyasagar
- Melbourne Dementia Research Centre, Florey Institute of Neurosciences and Mental Health, Melbourne, Australia
| | - Andrej Vovk
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Guangbin Wang
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction and Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital / Department of Psychology, University of Oslo, Oslo, Norway
| | - Timothy K Wilbur
- Department of Radiology, University of Washington, Seattle, WA USA
| | - William R Willoughby
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Martin Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, Department of Clinical and Health Psychology, College of Public Health and Health Professions. Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Yen-Chien Wu
- Department of Radiology, TMU-Shuang Ho Hospital, New Taipei City, Taiwan
| | - Junqian Xu
- Department of Radiology and Psychiatry, Baylor College of Medicine, Houston, USA
| | | | - David K W Yeung
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Qun Zhao
- Bioimaging Research Center, Department of Physics and Astronomy, University of Georgia, Athens, GA USA
| | - Xiaopeng Zhou
- School of Health Sciences, Purdue University, West Lafayette, IN USA
| | - Gasper Zupan
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
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De Wel B, Huysmans L, Peeters R, D'Hondt A, Goosens V, Ghysels S, Byloos K, Putzeys G, De Bleecker J, Maes F, Dupont P, Claeys K. LGMD. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Fouchardiere CDL, Fugazzola L, Taylor J, Appetecchia M, Besic N, Bongiovanni A, Buffet C, Costante G, Gay S, Grande E, Kapiteijn E, Krajewska J, Kroiss M, Morreau H, Netea-Maier R, Peeters R, Soares P, Sykiotis G, Blay JY, Locati L. 1750P Molecular genotyping in refractory thyroid cancers: Results of a European survey. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Fierens G, Standaert N, Peeters R, Glorieux C, Verhaert N. Safety of active auditory implants in magnetic resonance imaging. J Otol 2021; 16:185-198. [PMID: 34220987 PMCID: PMC8241703 DOI: 10.1016/j.joto.2020.12.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/19/2020] [Accepted: 12/17/2020] [Indexed: 11/23/2022] Open
Abstract
Magnetic resonance imaging (MRI) has become the gold standard for the diagnosis of many pathologies. Using MRI in patients with auditory implants can however raise concerns due to mutual interactions between the implant and imaging device, resulting in potential patient risks. Several implant manufacturers have been working towards more MRI safe devices. Older devices are however often labelled for more stringent conditions, possibly creating confusion with patients and professionals. With this myriad of different devices that are implanted in patients for lifetimes of at least 20 years, it is crucial that both patients and professionals have a clear understanding of the safety of their devices. This work aims at providing an exhaustive overview on the MRI safety of active auditory implants. The available industry standards that are followed by manufacturers are outlined and an overview of the latest scientific developments focusing on the last five years is provided. In addition, based on the analysis of the adverse events reported to the Food and Drug Administration (FDA) and in literature within the past ten years, a systematic review of the most commonly occurring issues for patients with auditory implants in the MRI environment is provided. Results indicate that despite the release of more MRI conditional active hearing implants on the market, adverse events still occur. An extensive overview is provided on the MRI safety of active auditory implants, aiming to increase the understanding of the topic for healthcare professionals and contribute to safer scanning conditions for patients.
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Affiliation(s)
- Guy Fierens
- Laboratory of Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D, B-3001, Heverlee, Belgium
- Cochlear Technology Centre, Schaliënhoevedreef 20I, B-2800, Mechelen, Belgium
- KU Leuven, Department of Neurosciences, Research Group Experimental Otorhinolaryngology, Herestraat 49, B-3000, Leuven, Belgium
| | - Nina Standaert
- University Hospitals Leuven, Department of Otorhinolaryngology, Herestraat 49, B-3000, Leuven, Belgium
| | - Ronald Peeters
- University Hospitals Leuven, Department of Radiology, Herestraat 49, B-3000, Leuven, Belgium
| | - Christ Glorieux
- Laboratory of Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D, B-3001, Heverlee, Belgium
| | - Nicolas Verhaert
- KU Leuven, Department of Neurosciences, Research Group Experimental Otorhinolaryngology, Herestraat 49, B-3000, Leuven, Belgium
- University Hospitals Leuven, Department of Otorhinolaryngology, Herestraat 49, B-3000, Leuven, Belgium
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Boone N, Ramiro S, Moes DJ, Mostard R, Magro Checa C, Van Dongen C, Gronenschild M, Van Haren E, Buijs J, Peeters R, Wong D, Landewé RBM. POS1256 SINGLE DOSE TOCILIZUMAB PHARMACOKINETICS IN GLUCOCORTICOID PRE-TREATED COVID-19 PATIENTS DURING CYTOKINE STORM SYNDROME HYPERINFLAMMATORY EPISODE: LESS IS MORE. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:The cytokine storm syndrome (CSS) associated with COVID-19 pneumonia occurs in up to 20% of the admitted patients causing high morbidity and mortality [1]. In the COVID High-intensity Immunosuppression in Cytokine storm syndrome (CHIC) study [1] we reported that CSS patients, who despite high-dose methylprednisolone (MP) treatment still showed severe respiratory deterioration, received subsequent single dose tocilizumab (TCZ) treatment. Our clinical experience with TCZ, every 4 weeks in RA, where a pre-dose serum concentration of > 1 µg/ml is sufficient to block all interleukin (IL)-6 receptors and thereby induce and maintain clinical remission, prompted further investigation of TCZ pharmacokinetics in patients with COVID-19 CSS [1,2].Objectives:In this pharmacokinetic study we investigated the clinical-pharmacokinetic rationale for a single TCZ dose in a subset of COVID19 induced CSS patients.Methods:Patients with COVID-19-associated CSS, defined as rapid respiratory deterioration plus at least two biomarker elevations (C-reactive protein (CRP) >100 mg/L; ferritin >900 μg/L; D-dimers >1500 μg/L), received per protocol high-dose intravenous MP for 5 consecutive days. If the respiratory condition had not improved sufficiently, TCZ (8 mg/kg, max. 800 mg) single infusion was added on or after day 2[1]. TCZ serum samples were drawn at TCZ day 1, 3 and 10 to assess TCZ serum concentrations with a validated ELISA-method. A nonlinear-mixed effects model was developed based on all concentration time data to characterise TCZ pharmacokinetics (NONMEM). Subsequently individual pharmacokinetic parameters (AUC0-inf, Cmax, time above 1 µg/ml) were estimated and TCZ concentration-time observations were plotted against the individual predicted concentrations to visualize the complete TCZ concentration-time curve.Results:In total, 34 patients with COVID19 induced CSS still showing clinical deterioration upon MP treatment received TCZ per protocol [mean (SD) age: 62 (12) years, 22% female, baseline mean (SD) bodyweight: 87 (17) kg, CRP: 108 (833) mmol/L, ferritin: 1653 (911) µg/L, D-dimers 4462 (7272) µg/L]. TCZ clearance was described by a homogeneous population-kinetics model yielding 87 serum samples. TCZ serum concentrations followed a biphasic course [Distribution volume 5.0 L (3.3-7.3), Area Under the Curve0-∞1st dose (682 (397-913) mg/L*days), Cmax 137 mg/L (88 – 199), half-life (linear) 3.5 days (2.3-4.1)]. In all patients, TCZ serum concentrations remained above the theoretical maximum IL-6 receptor occupancy concentration of 1 µg/ml for at least 12 days, depicted in Figure 1.Figure 1.Predicted concentration-time profiles after single dose tocilizumab in 34 methylpred-nisolone pretreated patients with COVID-19 induced cytokine storm syndrome. Dashed line: maximum IL-6 receptor occupancy concentration 1 µg/mlConclusion:Based on our study results on the pharmacokinetics of TCZ in patients with severe COVID-19 induced CSS we conclude that the clearance of TCZ is faster compared to RA-patients at steady state. However, our observations indicate that a single dose of tocilizumab in CSS-patients is enough to cover IL-6 mediated hyperinflammation. Restricting TCZ to a single dosage can prevent overtreatment, drug shortage and saves costs, while still maintaining efficacy, as most patients will have overcome their hyperinflammatory period of the CSS after 10-14 days.References:[1]Ramiro S. Mostard R.L.M. et al. Historically controlled comparison of glucocorticoids with or without tocilizumab versus supportive care only in patients with COVID-19-associated cytokine storm syndrome: results of the CHIC study. Ann Rheum Dis 2020;79(9):1143-1151.[2]Nishimoto N, Terao K et al. Mechanisms and pathologic significances in increase in serum interleukin-6 (IL-6) and soluble IL-6 receptor after administration of an anti IL-6 receptor antibody, tocilizumab, in patients with rheumatoid arthritis and Castleman disease. Blood. 2008;112:3959-3964.Acknowledgements:The authors are grateful to all patients, nurses and physicians who participated in this study.Disclosure of Interests:None declared
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Callebaut I, Steelant B, Backaert W, Peeters R, Sunaert S, Van Oudenhove L, Hellings PW. Brain activation after nasal histamine provocation in house dust mite allergic rhinitis patients. Allergy 2021; 76:1879-1882. [PMID: 33283291 PMCID: PMC8246755 DOI: 10.1111/all.14677] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/06/2020] [Accepted: 11/14/2020] [Indexed: 02/06/2023]
Affiliation(s)
- Ina Callebaut
- KU Leuven Department of Microbiology Immunology and Transplantation, Allergy and Clinical Immunology Research Group Leuven Belgium
| | - Brecht Steelant
- KU Leuven Department of Microbiology Immunology and Transplantation, Allergy and Clinical Immunology Research Group Leuven Belgium
| | - Wout Backaert
- KU Leuven Department of Microbiology Immunology and Transplantation, Allergy and Clinical Immunology Research Group Leuven Belgium
| | - Ronald Peeters
- Department of Imaging & Pathology KU Leuven Leuven Belgium
- Department of Radiology University Hospitals Leuven Leuven Belgium
| | - Stefan Sunaert
- Department of Imaging & Pathology KU Leuven Leuven Belgium
- Department of Radiology University Hospitals Leuven Leuven Belgium
| | - Lukas Van Oudenhove
- Laboratory for Brain‐Gut Axis Studies (LaBGAS) Department of Chronic Diseases, Metabolism, and Ageing (CHROMETA) Translational Research Center for Gastrointestinal Disorders (TARGID) University of Leuven Belgium
- Cognitive and Affective Neuroscience Laboratory (CANlab) Center for Cognitive Neuroscience Department of Psychological and Brain Sciences Dartmouth College Hanover NH USA
| | - Peter W Hellings
- KU Leuven Department of Microbiology Immunology and Transplantation, Allergy and Clinical Immunology Research Group Leuven Belgium
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Wouters A, Scheldeman L, Plessers S, Peeters R, Cappelle S, Demaerel P, Van Paesschen W, Ferdinande B, Dupont M, Dens J, Janssens S, Ameloot K, Lemmens R. Added Value of Quantitative Apparent Diffusion Coefficient Values for Neuroprognostication After Cardiac Arrest. Neurology 2021; 96:e2611-e2618. [PMID: 33837117 DOI: 10.1212/wnl.0000000000011991] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 02/26/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the prognostic value of brain MRI in addition to clinical and electrophysiologic variables in patients post-cardiac arrest (CA), we explored data from the randomized Neuroprotect Post-CA trial (NCT02541591). METHODS In this trial, brain MRIs were prospectively obtained. We calculated receiver operating characteristic (ROC) curves for the average apparent diffusion coefficient (ADC) value and percentage of brain voxels with an ADC value <650 × 10-6 mm2/s and <450 × 10-6 mm2/s. We constructed multivariable logistic regression models with clinical characteristics, EEG, somatosensory evoked potentials (SSEP), and ADC value as independent variables to predict good neurologic recovery. RESULTS In 79/102 patients, MRI data were available and in 58/79 patients all other data were available. At 180 days post-CA, 25/58 (43%) patients had good neurologic recovery. In univariable analysis of all tested MRI measures, average ADC value in the postcentral cortex had the highest accuracy to predict good neurologic recovery, with an area under the ROC curve (AUC) of 0.78. In the most optimal multivariable model, which also included corneal reflexes and EEG, this measure remained an independent predictor of good neurologic recovery (AUC 0.96, false-positive 27%). This model provided a more accurate prediction compared to the most optimal combination of EEG, corneal reflexes, and SSEP (p = 0.03). CONCLUSIONS Adding information on brain MRI in a multivariable model may improve the prediction of good neurologic recovery in patients post-CA. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that MRI ADC features predict neurologic recovery in patients post-CA.
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Affiliation(s)
- Anke Wouters
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium.
| | - Lauranne Scheldeman
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Sam Plessers
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Ronald Peeters
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Sarah Cappelle
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Philippe Demaerel
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Wim Van Paesschen
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Bert Ferdinande
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Matthias Dupont
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Jo Dens
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Stefan Janssens
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Koen Ameloot
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Robin Lemmens
- From the Departments of Neurology (A.W., L.S., S.P., R.L.), Radiology (R.P., S.C., P.D.), and Cardiology (S.J., K.A.), University Hospitals Leuven; Laboratory of Neurobiology (A.W., L.S., R.L.), Center for Brain & Disease Research, VIB; Department of Neurosciences (A.W., L.S., R.L.), Experimental Neurology and Leuven Brain Institute, University of Leuven, Belgium; Department of Neurology (A.W.), Academic Medical Center, University of Amsterdam, the Netherlands; Translational MRI, Department of Imaging and Pathology (R.P., S.C., P.D.), and Laboratory for Epilepsy Research, Department of Neurosciences (W.V.P.), KU Leuven, Belgium; Department of Cardiology (B.F., M.D., J.D., K.A.), Ziekenhuis Oost-Limburg, Genk; and Faculty of Medicine and Life Sciences (J.D., K.A.), Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
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Wang T, Peeters R, Mantini D, Gillebert CR. Modulating the interhemispheric activity balance in the intraparietal sulcus using real-time fMRI neurofeedback: Development and proof-of-concept. Neuroimage Clin 2021; 28:102513. [PMID: 33396000 PMCID: PMC7941162 DOI: 10.1016/j.nicl.2020.102513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/15/2020] [Accepted: 11/20/2020] [Indexed: 10/31/2022]
Abstract
The intraparietal sulcus (IPS) plays a key role in the distribution of attention across the visual field. In stroke patients, an imbalance between left and right IPS activity has been related to a spatial bias in visual attention characteristic of hemispatial neglect. In this study, we describe the development and implementation of a real-time functional magnetic resonance imaging neurofeedback protocol to noninvasively and volitionally control the interhemispheric IPS activity balance in neurologically healthy participants. Six participants performed three neurofeedback training sessions across three weeks. Half of them trained to voluntarily increase brain activity in left relative to right IPS, while the other half trained to regulate the IPS activity balance in the opposite direction. Before and after the training, we estimated the distribution of attention across the visual field using a whole and partial report task. Over the course of the training, two of the three participants in the left-IPS group increased the activity in the left relative to the right IPS, while the participants in the right-IPS group were not able to regulate the interhemispheric IPS activity balance. We found no evidence for a decrease in resting-state functional connectivity between left and right IPS, and the spatial distribution of attention did not change over the course of the experiment. This study indicates the possibility to voluntarily modulate the interhemispheric IPS activity balance. Further research is warranted to examine the effectiveness of this technique in the rehabilitation of post-stroke hemispatial neglect.
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Affiliation(s)
- Tianlu Wang
- Brain and Cognition, KU Leuven, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Ronald Peeters
- Radiology Department, University Hospitals Leuven, Leuven, Belgium
| | - Dante Mantini
- Research Centre for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Céline R Gillebert
- Brain and Cognition, KU Leuven, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium.
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Blommaert J, Radwan A, Sleurs C, Maggen C, van Gerwen M, Wolters V, Christiaens D, Peeters R, Dupont P, Sunaert S, Van Calsteren K, Deprez S, Amant F. The impact of cancer and chemotherapy during pregnancy on child neurodevelopment: A multimodal neuroimaging analysis. EClinicalMedicine 2020; 28:100598. [PMID: 33294813 PMCID: PMC7700909 DOI: 10.1016/j.eclinm.2020.100598] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/01/2020] [Accepted: 10/02/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND This study applies multimodal MRI to investigate neurodevelopment in nine-year-old children born to cancer-complicated pregnancies. METHODS In this cohort study, children born after cancer-complicated pregnancies were recruited alongside 1:1 matched controls regarding age, sex and gestational age at birth (GA). Multimodal MRI was used to investigate whole-brain and subcortical volume, cortical structure (using surface-based morphometry), white matter microstructure (using fixel-based analysis) and functional connectivity (using resting-state blood-oxygen-level-dependant signal correlations). Graph theory probed whole-brain structural and functional organization. For each imaging outcome we conducted two group comparisons: 1) children born after cancer-complicated pregnancies versus matched controls, and 2) the subgroup of children with prenatal chemotherapy exposure versus matched controls. In both models, we used the covariate of GA and the group-by-GA interaction, using false-discovery-rate (FDR) or family-wise-error (FWE) correction for multiple comparisons. Exploratory post-hoc analyses investigated the relation between brain structure/function, neuropsychological outcome and maternal oncological/obstetrical history. FINDINGS Forty-two children born after cancer-complicated pregnancies were included in this study, with 30 prenatally exposed to chemotherapy. Brain organization and functional connectivity were not significantly different between groups. Both cancer and chemotherapy in pregnancy, as compared to matched controls, were associated with a lower travel depth, indicating less pronounced gyrification, in the left superior temporal gyrus (pFDR ≤ 006), with post-hoc analysis indicating platinum derivatives during pregnancy as a potential risk factor (p = .028). Both cancer and chemotherapy in pregnancy were related to a lower fibre cross-section (FCS) and lower fibre density and cross-section (FDC) in the posterior corpus callosum and its tapetal fibres, compared to controls. Higher FDC in the chemotherapy subgroup and higher FCS in the whole study group were observed in the anterior thalamic radiations. None of the psycho-behavioural parameters correlated significantly with any of the brain differences in the study group or chemotherapy subgroup. INTERPRETATION Prenatal exposure to maternal cancer and its treatment might affect local grey and white matter structure, but not functional connectivity or global organization. While platinum-based therapy was identified as a potential risk factor, this was not the case for chemotherapy in general. FUNDING This project has received funding from the European Union's Horizon 2020 research and innovation program (European Research council, grant no 647,047), the Foundation against cancer (Stichting tegen kanker, grant no. 2014-152) and the Research Foundation Flanders (FWO, grants no. 11B9919N, 12ZV420N).
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Affiliation(s)
- J. Blommaert
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - A. Radwan
- Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - C. Sleurs
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - C. Maggen
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - M. van Gerwen
- Department of Gynecology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands
- Princess Máxima Center for pediatric oncology, Utrecht, Netherlands
| | - V. Wolters
- Department of Gynecology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, Netherlands
| | - D. Christiaens
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium
| | - R. Peeters
- Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - P. Dupont
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - S. Sunaert
- Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - K. Van Calsteren
- Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, Unit Woman and child, KU Leuven, Leuven, Belgium
| | - S. Deprez
- Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - F. Amant
- Department of Oncology, KU Leuven, Leuven, Belgium
- Center for Gynaecologic Oncology Amsterdam, Netherlands Cancer Institute and University Medical Centers, Amsterdam, Netherlands
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Wildisen L, Del Giovane C, Feller M, Moutzouri E, Mooijaart S, Poortvliet R, Du Puy R, Peeters R, Gussekloo J, Rodondi N. The effect of levothyroxine therapy on depressive symptoms in adults with subclinical hypothyroidism. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Levothyroxine is one of the most commonly prescribed drugs. A common reason for levothyroxine treatment on patients with subclinical hypothyroidism are depressive symptoms. A meta-analysis of four RCTs (n = 278) found no benefit of levothyroxine therapy on depressive symptoms. However, the confidence interval does not exclude a small clinical benefit. We aim to assess the effect of levothyroxine therapy for depressive symptoms in patients with subclinical hypothyroidism using data from a RCT with more than 400 adults.
Methods
The TRUST trial was a double-blind, randomized, placebo-controlled trial involving adults aged ≥65y with subclinical hypothyroidism (elevated TSH levels (4.6-19.9 mU/L) and free thyroxine within the reference range). The outcome was depressive symptoms after 12 months based on the Geriatric Depression Scale (GDS-15), a 15-item questionnaire (range: 0 to 15, higher scores indicate more depressive symptoms, minimal clinical important difference: 2). The multivariable linear regression model was adjusted for levothyroxine starting dose, sex, site, and GDS-15 baseline score.
Results
425 Swiss and Dutch adults with subclinical hypothyroidism were randomised (mean age 75y, 56% female). The mean (SD) TSH was 6.6 (2.1) mU/L at baseline and after 12 months decreased to 3.8 (2.3) mU/L in the levothyroxine group vs 5.9 (2.7) mU/L in the placebo group. At baseline, the mean GDS-15 score was 1.3 (1.9) in the levothyroxine group and 1.0 (1.6) in the placebo group. The mean GDS-15 score at 12 months was 1.4 (2.1) in the levothyroxine and 1.1 (1.7) in the placebo group with an adjusted between-group difference of 0.2 for levothyroxine vs. placebo (95% CI:-0.1 to 0.5; p = 0.29).
Conclusions
In this by far largest RCT on the topic, levothyroxine therapy did not confer a benefit for depressive symptoms. Consequently, our results do not support the practice of prescribing levothyroxine for depressive symptoms when they co-occur with subclinical hypothyroidism.
Key messages
Levothyroxine has no benefit on depressive symptoms in patients with subclinical hypothyroidism. Levothyroxine prescription to patients with subclinical hypothyroidism and depressive symptoms should be reconsidered.
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Affiliation(s)
| | | | - M Feller
- University of Bern, Bern, Switzerland
| | | | - S Mooijaart
- Leiden University Medical Center, Leiden, Netherlands
| | | | - R Du Puy
- Leiden University Medical Center, Leiden, Netherlands
| | - R Peeters
- Erasmus Medical Center, Rotterdam, Netherlands
| | - J Gussekloo
- Leiden University Medical Center, Leiden, Netherlands
| | - N Rodondi
- University of Bern, Bern, Switzerland
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28
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King BR, Rumpf JJ, Heise KF, Veldman MP, Peeters R, Doyon J, Classen J, Albouy G, Swinnen SP. Lateralized effects of post-learning transcranial direct current stimulation on motor memory consolidation in older adults: An fMRI investigation. Neuroimage 2020; 223:117323. [PMID: 32882377 DOI: 10.1016/j.neuroimage.2020.117323] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/23/2020] [Accepted: 08/26/2020] [Indexed: 01/09/2023] Open
Abstract
Previous research has consistently demonstrated that older adults have difficulties transforming recently learned movements into robust, long-lasting memories (i.e., motor memory consolidation). One potential avenue to enhance consolidation in older individuals is the administration of transcranial direct current stimulation (tDCS) to task-relevant brain regions after initial learning. Although this approach has shown promise, the underlying cerebral correlates have yet to be revealed. Moreover, it is unknown whether the effects of tDCS are lateralized, an open question with implications for rehabilitative approaches following predominantly unilateral neurological injuries. In this research, healthy older adults completed a sequential motor task before and 6 h after receiving anodal or sham stimulation to right or left primary motor cortex (M1) while functional magnetic resonance images were acquired. Unexpectedly, anodal stimulation to right M1 following left-hand sequence learning significantly hindered consolidation as compared to a sham control, whereas no differences were observed with left M1 stimulation following right-hand learning. Impaired performance following right M1 stimulation was paralleled by sustained engagement of regions known to be critical for early learning stages, including the caudate nucleus and the premotor and parietal cortices. Thus, post-learning tDCS in older adults not only exerts heterogenous effects across the two hemispheres but can also disrupt ongoing memory processing.
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Affiliation(s)
- Bradley R King
- Department of Movement Sciences, KU Leuven, Leuven, Belgium; LBI - KU Leuven Brain Institute, Leuven, Belgium.
| | | | - Kirstin-Friederike Heise
- Department of Movement Sciences, KU Leuven, Leuven, Belgium; LBI - KU Leuven Brain Institute, Leuven, Belgium
| | - Menno P Veldman
- Department of Movement Sciences, KU Leuven, Leuven, Belgium; LBI - KU Leuven Brain Institute, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium; Department of Imaging and Pathology, Biomedical Sciences Group, Leuven, Belgium
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Joseph Classen
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - Genevieve Albouy
- Department of Movement Sciences, KU Leuven, Leuven, Belgium; LBI - KU Leuven Brain Institute, Leuven, Belgium
| | - Stephan P Swinnen
- Department of Movement Sciences, KU Leuven, Leuven, Belgium; LBI - KU Leuven Brain Institute, Leuven, Belgium
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29
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De Groote S, Goudman L, Van Schuerbeek P, Peeters R, Sunaert S, Linderoth B, De Andrés J, Rigoard P, De Jaeger M, Moens M. Effects of spinal cord stimulation on voxel-based brain morphometry in patients with failed back surgery syndrome. Clin Neurophysiol 2020; 131:2578-2587. [PMID: 32927213 DOI: 10.1016/j.clinph.2020.07.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/30/2020] [Accepted: 07/26/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Despite the clinical effectiveness of Spinal Cord Stimulation (SCS), potential structural brain modifications have not been explored. Our aim was to identify structural volumetric changes during subsensory SCS, in patients with Failed Back Surgery Syndrome (FBSS). METHODS In this cohort study, twenty-two FBSS patients underwent a magnetic resonance imaging protocol before SCS and 3 months after SCS. Clinical parameters were correlated with volumetric changes, calculated with voxel-based morphometry. RESULTS After 3 months, a significant volume decrease was found in the inferior frontal gyrus, precuneus, cerebellar posterior lobe and middle temporal gyrus. Significant increases were found in the inferior temporal gyrus, precentral gyrus and the middle frontal gyrus after SCS. Additionally, significant increases in volume of superior frontal and parietal white matter and a significant decrease in volume of white matter underlying the premotor/middle frontal gyrus were revealed after SCS. A significant correlation was highlighted between white matter volume underlying premotor/middle frontal gyrus and leg pain relief. CONCLUSIONS This study revealed for the first time that SCS is able to induce volumetric changes in gray and white matter, suggesting the reversibility of brain alterations after chronic pain treatment. SIGNIFICANCE Volumetric brain alterations are observable after 3 months of subsensory SCS in FBSS patients.
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Affiliation(s)
- Sander De Groote
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium; STIMULUS consortium (reSearch and TeachIng neuroModULation Uz bruSsel), Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium.; Pain in Motion International Research Group, Belgium; Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Peter Van Schuerbeek
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Ronald Peeters
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ Herestraat 49-bus 7003 54, 3000 Leuven, Belgium
| | - Stefan Sunaert
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ Herestraat 49-bus 7003 54, 3000 Leuven, Belgium
| | - Bengt Linderoth
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jose De Andrés
- Surgical Specialties Department Valencia University Medical School, and Department of Anesthesiology Critical Care and Pain Management, General University Hospital, Valencia, Spain
| | - Philippe Rigoard
- Department of Neurosurgery, Poitiers University Hospital, Poitiers, France; Institut Pprime UPR 3346, CNRS, University of Poitiers, Poitiers, ISAE-ENSMA, France; PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, Poitiers, France
| | - Mats De Jaeger
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium; STIMULUS consortium (reSearch and TeachIng neuroModULation Uz bruSsel), Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium.; Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium; Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium.
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30
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Weerasekera A, Levin O, Clauwaert A, Heise KF, Hermans L, Peeters R, Mantini D, Cuypers K, Leunissen I, Himmelreich U, Swinnen SP. Neurometabolic Correlates of Reactive and Proactive Motor Inhibition in Young and Older Adults: Evidence from Multiple Regional 1H-MR Spectroscopy. Cereb Cortex Commun 2020; 1:tgaa028. [PMID: 34296102 PMCID: PMC8152832 DOI: 10.1093/texcom/tgaa028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 06/19/2020] [Accepted: 06/20/2020] [Indexed: 11/13/2022] Open
Abstract
Suboptimal inhibitory control is a major factor contributing to motor/cognitive deficits in older age and pathology. Here, we provide novel insights into the neurochemical biomarkers of inhibitory control in healthy young and older adults and highlight putative neurometabolic correlates of deficient inhibitory functions in normal aging. Age-related alterations in levels of glutamate–glutamine complex (Glx), N-acetylaspartate (NAA), choline (Cho), and myo-inositol (mIns) were assessed in the right inferior frontal gyrus (RIFG), pre-supplementary motor area (preSMA), bilateral sensorimotor cortex (SM1), bilateral striatum (STR), and occipital cortex (OCC) with proton magnetic resonance spectroscopy (1H-MRS). Data were collected from 30 young (age range 18–34 years) and 29 older (age range 60–74 years) adults. Associations between age-related changes in the levels of these metabolites and performance measures or reactive/proactive inhibition were examined for each age group. Glx levels in the right striatum and preSMA were associated with more efficient proactive inhibition in young adults but were not predictive for reactive inhibition performance. Higher NAA/mIns ratios in the preSMA and RIFG and lower mIns levels in the OCC were associated with better deployment of proactive and reactive inhibition in older adults. Overall, these findings suggest that altered regional concentrations of NAA and mIns constitute potential biomarkers of suboptimal inhibitory control in aging.
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Affiliation(s)
- Akila Weerasekera
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Oron Levin
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Amanda Clauwaert
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Kirstin-Friederike Heise
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Lize Hermans
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals KU Leuven, 3000, Leuven, Belgium
| | - Dante Mantini
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Koen Cuypers
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Inge Leunissen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Uwe Himmelreich
- Biomedical MRI Unit, Department of Imaging and Pathology, Group Biomedical Sciences, KU Leuven, 3000, Leuven, Belgium
| | - Stephan P Swinnen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
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31
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De Groote S, Goudman L, Linderoth B, Buyck F, Rigoard P, De Jaeger M, Van Schuerbeek P, Peeters R, Sunaert S, Moens M. A Regions of Interest Voxel-Based Morphometry Study of the Human Brain During High-Frequency Spinal Cord Stimulation in Patients With Failed Back Surgery Syndrome. Pain Pract 2020; 20:878-888. [PMID: 32470180 DOI: 10.1111/papr.12922] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/14/2020] [Accepted: 05/22/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION The effectiveness of spinal cord stimulation (SCS) as pain-relieving treatment for failed back surgery syndrome (FBSS) has already been demonstrated. However, potential structural and functional brain alterations resulting from subsensory SCS are less clear. The aim of this study was to test structural volumetric changes in a priori chosen regions of interest related to chronic pain after 1 month and 3 months of high-frequency SCS in patients with FBSS. METHODS Eleven patients with FBSS who were scheduled for SCS device implantation were included in this study. All patients underwent a magnetic resonance imaging protocol before SCS device implantation 1 and 3 months after high-frequency SCS. Pain intensity, pain catastrophizing, and sleep quality were also measured. Regions-of-interest voxel-based morphometry was used to explore grey matter volumetric changes over time. Additionally, volumetric changes were correlated with changes in pain intensity, catastrophizing, and sleep quality. RESULTS Significant decreases were found in volume in the left and right hippocampus over time. More specifically, a significant difference was revealed between volumes before SCS implantation and after 3 months of SCS. Repeated-measures correlations revealed a significant positive correlation between volumetric changes in the left hippocampus and changes in back pain score over time and between volumetric changes in the right hippocampus and changes in back pain score over time. CONCLUSION In patients with FBSS, high-frequency SCS influences structural brain regions over time. The volume of the hippocampus was decreased bilaterally after 3 months of high-frequency SCS with a positive correlation with back pain intensity.
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Affiliation(s)
- Sander De Groote
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium
| | - Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Jette, Belgium.,Pain in Motion International Research Group, Vrije Universiteit Brussel, Jette, Belgium
| | - Bengt Linderoth
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Félix Buyck
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium
| | - Philippe Rigoard
- Spine & Neuromodulation Functional Unit, Poitiers University Hospital, Poitiers, France.,Institut Prime UPR 3346, CNRS, ISAE-ENSMA, University of Poitiers, Poitiers, France.,PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), Poitiers University Hospital, Poitiers, France
| | - Mats De Jaeger
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium
| | | | - Ronald Peeters
- Department of Radiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Department of Radiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Jette, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Jette, Belgium.,Department of Radiology, Universitair Ziekenhuis Brussel, Jette, Belgium
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32
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De Groote S, Goudman L, Peeters R, Linderoth B, Van Schuerbeek P, Sunaert S, De Jaeger M, De Smedt A, De Andrés J, Moens M. The influence of High Dose Spinal Cord Stimulation on the descending pain modulatory system in patients with failed back surgery syndrome. Neuroimage Clin 2019; 24:102087. [PMID: 31795057 PMCID: PMC6978217 DOI: 10.1016/j.nicl.2019.102087] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 11/04/2019] [Accepted: 11/09/2019] [Indexed: 12/22/2022]
Abstract
For the first time, the influence of HD-SCS on the descending pathways was tested. rsfMRI and functional connectivity were used to evaluate this a priori hypothesis. HD-SCS does influence the descending pain modulatory system.
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Affiliation(s)
- Sander De Groote
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium; Pain in Motion International Research Group, www.paininmotion.be and Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Ronald Peeters
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ Herestraat 49-bus 7003, Leuven 3000, Belgium
| | - Bengt Linderoth
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Peter Van Schuerbeek
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Stefan Sunaert
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ Herestraat 49-bus 7003, Leuven 3000, Belgium
| | - Mats De Jaeger
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Ann De Smedt
- Department of Neurology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium
| | - José De Andrés
- Surgical Specialties Department Valencia University Medical School, Department of Anesthesiology Critical Care and Pain Management, General University Hospital, Valencia, Spain
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium; Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussels 1090, Belgium; Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Brussels 1090, Belgium.
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33
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Levin O, Weerasekera A, King BR, Heise KF, Sima DM, Chalavi S, Maes C, Peeters R, Sunaert S, Cuypers K, Van Huffel S, Mantini D, Himmelreich U, Swinnen SP. Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a 1H-MRS study. Neuroimage 2019; 202:116050. [PMID: 31349070 DOI: 10.1016/j.neuroimage.2019.116050] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 06/17/2019] [Accepted: 07/22/2019] [Indexed: 12/19/2022] Open
Abstract
Aging is associated with gradual alterations in the neurochemical characteristics of the brain, which can be assessed in-vivo with proton-magnetic resonance spectroscopy (1H-MRS). However, the impact of these age-related neurochemical changes on functional motor behavior is still poorly understood. Here, we address this knowledge gap and specifically focus on the neurochemical integrity of the left sensorimotor cortex (SM1) and the occipital lobe (OCC), as both regions are main nodes of the visuomotor network underlying bimanual control. 1H-MRS data and performance on a set of bimanual tasks were collected from a lifespan (20-75 years) sample of 86 healthy adults. Results indicated that aging was accompanied by decreased levels of N-acetylaspartate (NAA), glutamate-glutamine (Glx), creatine + phosphocreatine (Cr) and myo-inositol (mI) in both regions, and decreased Choline (Cho) in the OCC region. Lower NAA and Glx levels in the SM1 and lower NAA levels in the OCC were related to poorer performance on a visuomotor bimanual coordination task, suggesting that NAA could serve as a potential biomarker for the integrity of the motor system supporting bimanual control. In addition, lower NAA, Glx, and mI levels in the SM1 were found to be correlates of poorer dexterous performance on a bimanual dexterity task. These findings highlight the role for 1H-MRS to study neurochemical correlates of motor performance across the adult lifespan.
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Affiliation(s)
- Oron Levin
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium.
| | - Akila Weerasekera
- Biomedical MRI Unit, Department of Imaging & Pathology, Group Biomedical Sciences, KU Leuven, Belgium
| | - Bradley R King
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium
| | - Kirstin F Heise
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium
| | | | - Sima Chalavi
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium
| | - Celine Maes
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, UZ Gasthuisberg, Belgium
| | - Stefan Sunaert
- Department of Radiology, University Hospitals Leuven, UZ Gasthuisberg, Belgium
| | - Koen Cuypers
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium; REVAL Research Institute, Hasselt University, Agoralaan, Building A, B-3590, Diepenbeek, Belgium
| | - Sabine Van Huffel
- Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Belgium
| | - Dante Mantini
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Uwe Himmelreich
- Biomedical MRI Unit, Department of Imaging & Pathology, Group Biomedical Sciences, KU Leuven, Belgium
| | - Stephan P Swinnen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
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Liuzzi AG, Dupont P, Peeters R, Bruffaerts R, De Deyne S, Storms G, Vandenberghe R. Left perirhinal cortex codes for semantic similarity between written words defined from cued word association. Neuroimage 2019; 191:127-139. [DOI: 10.1016/j.neuroimage.2019.02.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 01/31/2019] [Accepted: 02/05/2019] [Indexed: 10/27/2022] Open
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De Groote S, Goudman L, Peeters R, Linderoth B, Vanschuerbeek P, Sunaert S, De Jaeger M, De Smedt A, Moens M. Magnetic Resonance Imaging Exploration of the Human Brain During 10 kHz Spinal Cord Stimulation for Failed Back Surgery Syndrome: A Resting State Functional Magnetic Resonance Imaging Study. Neuromodulation 2019; 23:46-55. [PMID: 30974016 DOI: 10.1111/ner.12954] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/08/2019] [Accepted: 02/27/2019] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Apart from the clinical efficacy of high frequency spinal cord stimulation at 10 kHz, the underlying mechanism of action remains unclear. In parallel with spinal or segmental theories, supraspinal hypotheses have been recently proposed. In order to unveil hidden altered brain connectome patterns, a resting state functional magnetic resonance imaging (rsfMRI) protocol was performed in subjects routinely treated for back and/or leg pain with high-frequency spinal cord stimulation (HF-SCS) HF-SCS at 10 kHz. METHODS RsfMRI imaging was obtained from ten patients with failed back surgery syndrome who were eligible for HF-SCS at 10 kHz. Specifically-chosen regions of interest with different connectivity networks have been investigated over time. Baseline measurements were compared with measurements after 1 month and 3 months of HF-SCS at 10 kHz. Additionally, clinical parameters on pain intensity, central sensitization, pain catastrophizing, and sleep quality were correlated with the functional connectivity strengths. RESULTS The study results demonstrate an increased connectivity over time between the anterior insula (affective salience network) and regions of the frontoparietal network and the central executive network. After 3 months of HF-SCS, the increased strength in functional connectivity between the left dorsolateral prefrontal cortex and the right anterior insula was significantly correlated with the minimum clinically important difference (MCID) value of the Pittsburgh sleep quality index. CONCLUSION These findings support the hypothesis that HF-SCS at 10 kHz might influence the salience network and therefore also the emotional awareness of pain.
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Affiliation(s)
- Sander De Groote
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Brussel, Belgium
| | - Ronald Peeters
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ, Leuven, Belgium
| | - Bengt Linderoth
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | | | - Stefan Sunaert
- Department of Radiology, Universitair Ziekenhuis Leuven, UZ, Leuven, Belgium
| | - Mats De Jaeger
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Ann De Smedt
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
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Ameloot K, De Deyne C, Eertmans W, Ferdinande B, Dupont M, Palmers PJ, Petit T, Nuyens P, Maeremans J, Vundelinckx J, Vanhaverbeke M, Belmans A, Peeters R, Demaerel P, Lemmens R, Dens J, Janssens S. Early goal-directed haemodynamic optimization of cerebral oxygenation in comatose survivors after cardiac arrest: the Neuroprotect post-cardiac arrest trial. Eur Heart J 2019; 40:1804-1814. [DOI: 10.1093/eurheartj/ehz120] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 12/02/2018] [Accepted: 03/06/2019] [Indexed: 11/12/2022] Open
Affiliation(s)
- Koen Ameloot
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
- Department of Cardiology, University Hospitals Leuven, Leuven, Belgium
- Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Cathy De Deyne
- Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
- Department of Anesthesiology and Critical Care Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Ward Eertmans
- Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
- Department of Anesthesiology and Critical Care Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Bert Ferdinande
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
| | - Matthias Dupont
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
| | - Pieter-Jan Palmers
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
| | - Tibaut Petit
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
- Department of Cardiology, University Hospitals Leuven, Leuven, Belgium
| | - Philippe Nuyens
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
- Department of Cardiology, University Hospitals Leuven, Leuven, Belgium
| | - Joren Maeremans
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
- Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Joris Vundelinckx
- Department of Anesthesiology and Critical Care Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium
| | | | - Ann Belmans
- Department of Cardiology, University Hospitals Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Philippe Demaerel
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Robin Lemmens
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Department of Neurosciences, Experimental Neurology, and Leuven Brain Institute (LBI), KU Leuven, University of Leuven, Leuven, Belgium
| | - Jo Dens
- Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, Genk, Belgium
- Faculty of Medicine and Life Sciences, University Hasselt, Diepenbeek, Belgium
| | - Stefan Janssens
- Department of Cardiology, University Hospitals Leuven, Leuven, Belgium
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Schrooten M, Vandenberghe R, Peeters R, Dupont P. Quantitative Analyses Help in Choosing Between Simultaneous vs. Separate EEG and fMRI. Front Neurosci 2019; 12:1009. [PMID: 30686975 PMCID: PMC6335318 DOI: 10.3389/fnins.2018.01009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Accepted: 12/14/2018] [Indexed: 11/22/2022] Open
Abstract
Simultaneous registration of scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is considered an attractive approach for studying brain function non-invasively. It combines the better spatial resolution of fMRI with the better temporal resolution of EEG, but comes at the cost of increased measurement artifact and the accompanying artifact preprocessing. This paper presents a study of the residual signal quality based on temporal signal to noise ratio (TSNR) for fMRI and fast Fourier transform (FFT) for EEG, after optimized conventional signal preprocessing. Measurements outside the magnetic resonance imaging scanner and inside the scanner prior to and during image acquisition were compared. For EEG, frequency and region dependent significant effects on FFT squared amplitudes were observed between separately vs. simultaneously recorded EEG and fMRI, with larger effects during image acquisition than without image acquisition inside the scanner bore. A graphical user interface was developed to aid in quality checking these measurements. For fMRI, separately recorded EEG-fMRI revealed relatively large areas with a significantly higher TSNR in right occipital and parietal regions and in the cingulum, compared to separately recorded EEG-fMRI. Simultaneously recorded EEG-fMRI showed significantly higher TSNR in inferior occipital cortex, diencephalon and brainstem, compared to separately recorded EEG-fMRI. Quantification of EEG and fMRI signals showed significant, but sometimes subtle, changes between separate compared to simultaneous EEG-fMRI measurements. To avoid interference with the experiment of interest in a simultaneous EEG-fMRI measurement, it seems warranted to perform a quantitative evaluation to ensure that there are no such uncorrectable effects present in regions or frequencies that are of special interest to the research question at hand.
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Affiliation(s)
- Maarten Schrooten
- Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium
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Aranda Hernandez A, Bonizzi P, Karel J, Peeters R. Myocardial Ischemia Diagnosis Using a Reduced Lead System. Annu Int Conf IEEE Eng Med Biol Soc 2018; 2018:5302-5305. [PMID: 30441534 DOI: 10.1109/embc.2018.8513511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This research presents a novel statistical model for diagnosing acute myocardial infarction (AMI). The model is based on features extracted from a reduced lead system consisting of a subset of three leads from the standard 12-lead ECG. We selected a set of relevant parameters commonly used in the clinical practice for ECG-based AMI diagnosis, namely ST elevation and T-wave maximum. We also selectedfeatures, not used in clinical practice, that were derived from vectorcardiography and computed on the reduced three-lead system (pseudo-VCG parameters). To validate the model, we used 104 patients coming from the Physionet STAFF III database which contains 12-lead ECG recordings at baseline and in coronary artery occlusion condition during angioplasty (PTCA). Results show that pseudo-VCG features are able to diagnose AMI slightly better than ST elevation and T-wave maximum features together (area under the ROC curve (AUC) 0.87 vs AUC 0.85). When combining pseudo-VCG features together with ST elevation, and T-wave maximum, the performance improved significantly (AUC 0.95, sensitivity 89.6% and specificity 82.7%). Results indicate a potential for diagnosing AMI using the proposed reduced lead system and the selected set of features. We suggest its possible use for diagnosing AMI in long-term, ambulatory and home monitoring situations, allowing an earlier and faster diagnosis.
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De Groote S, De Jaeger M, Van Schuerbeek P, Sunaert S, Peeters R, Loeckx D, Goudman L, Forget P, De Smedt A, Moens M. Functional magnetic resonance imaging: cerebral function alterations in subthreshold and suprathreshold spinal cord stimulation. J Pain Res 2018; 11:2517-2526. [PMID: 30425564 PMCID: PMC6205143 DOI: 10.2147/jpr.s160890] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Background and purpose Failed back surgery syndrome (FBSS) is a common and devastating chronic neuropathic pain disorder. Conventional spinal cord stimulation (SCS) applies electrical suprathreshold pulses to the spinal cord at a frequency of 40-60 Hz and relieves pain in FBSS patients. During the last decade, two major changes have emerged in the techniques of stimulating the spinal cord: paresthesia-free or subthreshold stimulation and administration of higher frequency or higher amounts of energy to the spinal cord. Despite the positive clinical results, the mechanism of action remains unclear. A functional MRI (fMRI) study was conducted to investigate the brain alterations during subthreshold and suprathreshold stimulation at different frequencies. Methods Ten subjects with FBSS, treated with externalized SCS, received randomly four different stimulation frequencies (4 Hz, 60 Hz, 500 Hz, and 1 kHz) during four consecutive days. At every frequency, the patient underwent sub- and suprathreshold stimulation. Cerebral activity was monitored and assessed using fMRI. Results Suprathreshold stimulation is generally accompanied with more activity than sub-threshold SCS. Suprathreshold SCS resulted in increased bilateral activation of the frontal cortex, thalamus, pre- and postcentral gyri, basal ganglia, cingulate gyrus, insula, thalamus, and claustrum. We observed deactivation of the bilateral parahippocampus, amygdala, precuneus, posterior cingulate gyrus, postcentral gyrus, and unilateral superior temporal gyrus. Conclusion Suprathreshold stimulation resulted in greater activity (both activation and deactivation) of the frontal brain regions; the sensory, limbic, and motor cortices; and the diencephalon in comparison with subthreshold stimulation. Each type of frequency at suprathreshold stimulation was characterized by an individual activation pattern.
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Affiliation(s)
- Sander De Groote
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium,
| | - Mats De Jaeger
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium,
| | | | - Stefan Sunaert
- Department of Radiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | | | - Lisa Goudman
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium, .,Pain in Motion International Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussel, Belgium
| | - Patrice Forget
- Department Anesthesiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Ann De Smedt
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Maarten Moens
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium, .,Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium, .,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium,
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Schaeverbeke J, Gabel S, Meersmans K, Bruffaerts R, Liuzzi AG, Evenepoel C, Dries E, Van Bouwel K, Sieben A, Pijnenburg Y, Peeters R, Bormans G, Van Laere K, Koole M, Dupont P, Vandenberghe R. Single-word comprehension deficits in the nonfluent variant of primary progressive aphasia. Alzheimers Res Ther 2018; 10:68. [PMID: 30021613 PMCID: PMC6052568 DOI: 10.1186/s13195-018-0393-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 05/30/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND A subset of patients with the nonfluent variant of primary progressive aphasia (PPA) exhibit concomitant single-word comprehension problems, constituting a 'mixed variant' phenotype. This phenotype is rare and currently not fully characterized. The aim of this study was twofold: to assess the prevalence and nature of single-word comprehension problems in the nonfluent variant and to study multimodal imaging characteristics of atrophy, tau, and amyloid burden associated with this mixed phenotype. METHODS A consecutive memory-clinic recruited series of 20 PPA patients (12 nonfluent, five semantic, and three logopenic variants) were studied on neurolinguistic and neuropsychological domains relative to 64 cognitively intact healthy older control subjects. The neuroimaging battery included high-resolution volumetric magnetic resonance imaging processed with voxel-based morphometry, and positron emission tomography with the tau-tracer [18F]-THK5351 and amyloid-tracer [11C]-Pittsburgh Compound B. RESULTS Seven out of 12 subjects who had been classified a priori with nonfluent variant PPA showed deficits on conventional single-word comprehension tasks along with speech apraxia and agrammatism, corresponding to a mixed variant phenotype. These mixed variant cases included three females and four males, with a mean age at onset of 65 years (range 44-77 years). Object knowledge and object recognition were additionally affected, although less severely compared with the semantic variant. The mixed variant was characterized by a distributed atrophy pattern in frontal and temporoparietal regions. A more focal pattern of elevated [18F]-THK5351 binding was present in the supplementary motor area, the left premotor cortex, midbrain, and basal ganglia. This pattern was closely similar to that seen in pure nonfluent variant PPA. At the individual patient level, elevated [18F]-THK5351 binding in the supplementary motor area and premotor cortex was present in six out of seven mixed variant cases and in five and four of these cases, respectively, in the thalamus and midbrain. Amyloid biomarker positivity was present in two out of seven mixed variant cases, compared with none of the five pure nonfluent cases. CONCLUSIONS A substantial proportion of PPA patients with speech apraxia and agrammatism also have single-word comprehension deficits. At the neurobiological level, the mixed variant shows a high degree of similarity with the pure nonfluent variant of PPA. TRIAL REGISTRATION EudraCT, 2014-002976-10 . Registered on 13-01-2015.
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Affiliation(s)
- Jolien Schaeverbeke
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Silvy Gabel
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Rose Bruffaerts
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Herestraat 49 - box 7003, 3000 Leuven, Belgium
| | - Antonietta Gabriella Liuzzi
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Charlotte Evenepoel
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Eva Dries
- Neurology Department, University Hospitals Leuven, Herestraat 49 - box 7003, 3000 Leuven, Belgium
| | - Karen Van Bouwel
- Neurology Department, University Hospitals Leuven, Herestraat 49 - box 7003, 3000 Leuven, Belgium
| | - Anne Sieben
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610 Antwerp, Belgium
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
- Neurology Department, University Hospitals Ghent, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Yolande Pijnenburg
- Old Age Psychiatry Department, GGZinGeest, Van Hilligaertstraat 21, 1072 JX Amsterdam, The Netherlands
- Alzheimer Center & Department of Neurology, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ronald Peeters
- Radiology Department, University Hospitals Leuven, Herestraat 49, Leuven, 30000 Belgium
| | - Guy Bormans
- Laboratory of Radiopharmaceutical Research, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Herestraat 49 - box 7003, 3000 Leuven, Belgium
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Schaeverbeke J, Evenepoel C, Declercq L, Gabel S, Meersmans K, Bruffaerts R, Adamczuk K, Dries E, Van Bouwel K, Sieben A, Pijnenburg Y, Peeters R, Bormans G, Van Laere K, Koole M, Dupont P, Vandenberghe R. Distinct [ 18F]THK5351 binding patterns in primary progressive aphasia variants. Eur J Nucl Med Mol Imaging 2018; 45:2342-2357. [PMID: 29946950 PMCID: PMC6208807 DOI: 10.1007/s00259-018-4075-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 06/12/2018] [Indexed: 12/12/2022]
Abstract
PURPOSE To assess the binding of the PET tracer [18F]THK5351 in patients with different primary progressive aphasia (PPA) variants and its correlation with clinical deficits. The majority of patients with nonfluent variant (NFV) and logopenic variant (LV) PPA have underlying tauopathy of the frontotemporal lobar or Alzheimer disease type, respectively, while patients with the semantic variant (SV) have predominantly transactive response DNA binding protein 43-kDa pathology. METHODS The study included 20 PPA patients consecutively recruited through a memory clinic (12 NFV, 5 SV, 3 LV), and 20 healthy controls. All participants received an extensive neurolinguistic assessment, magnetic resonance imaging and amyloid biomarker tests. [18F]THK5351 binding patterns were assessed on standardized uptake value ratio (SUVR) images with the cerebellar grey matter as the reference using statistical parametric mapping. Whole-brain voxel-wise regression analysis was performed to evaluate the association between [18F]THK5351 SUVR images and neurolinguistic scores. Analyses were performed with and without partial volume correction. RESULTS Patients with NFV showed increased binding in the supplementary motor area, left premotor cortex, thalamus, basal ganglia and midbrain compared with controls and patients with SV. Patients with SV had increased binding in the temporal lobes bilaterally and in the right ventromedial frontal cortex compared with controls and patients with NFV. The whole-brain voxel-wise regression analysis revealed a correlation between agrammatism and motor speech impairment, and [18F]THK5351 binding in the left supplementary motor area and left postcentral gyrus. Analysis of [18F]THK5351 scans without partial volume correction revealed similar results. CONCLUSION [18F]THK5351 imaging shows a topography closely matching the anatomical distribution of predicted underlying pathology characteristic of NFV and SV PPA. [18F]THK5351 binding correlates with the severity of clinical impairment.
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Affiliation(s)
- Jolien Schaeverbeke
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Charlotte Evenepoel
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Lieven Declercq
- Laboratory of Radiopharmaceutical Research, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Silvy Gabel
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Rose Bruffaerts
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Neurology Department, University Hospitals Leuven, Herestraat 49, box 7003, 3000, Leuven, Belgium
| | - Kate Adamczuk
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Eva Dries
- Neurology Department, University Hospitals Leuven, Herestraat 49, box 7003, 3000, Leuven, Belgium
| | - Karen Van Bouwel
- Neurology Department, University Hospitals Leuven, Herestraat 49, box 7003, 3000, Leuven, Belgium
| | - Anne Sieben
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Antwerp, Belgium.,Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.,Neurology Department, University Hospital Ghent, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Yolande Pijnenburg
- Old Age Psychiatry Department, GGZinGeest, Van Hilligaertstraat 21, 1072 JX, Amsterdam, The Netherlands.,Alzheimer Center & Department of Neurology, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Ronald Peeters
- Radiology Department, University Hospitals Leuven, Leuven, Belgium
| | - Guy Bormans
- Laboratory of Radiopharmaceutical Research, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium. .,Alzheimer Research Centre KU Leuven, Leuven Research Institute for Neuroscience & Disease, KU Leuven, Herestraat 49, 3000, Leuven, Belgium. .,Neurology Department, University Hospitals Leuven, Herestraat 49, box 7003, 3000, Leuven, Belgium.
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Maes C, Hermans L, Pauwels L, Chalavi S, Leunissen I, Levin O, Cuypers K, Peeters R, Sunaert S, Mantini D, Puts NAJ, Edden RAE, Swinnen SP. Age-related differences in GABA levels are driven by bulk tissue changes. Hum Brain Mapp 2018; 39:3652-3662. [PMID: 29722142 DOI: 10.1002/hbm.24201] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 03/23/2018] [Accepted: 04/20/2018] [Indexed: 01/07/2023] Open
Abstract
Levels of GABA, the main inhibitory neurotransmitter in the brain, can be regionally quantified using magnetic resonance spectroscopy (MRS). Although GABA is crucial for efficient neuronal functioning, little is known about age-related differences in GABA levels and their relationship with age-related changes in brain structure. Here, we investigated the effect of age on GABA levels within the left sensorimotor cortex and the occipital cortex in a sample of 85 young and 85 older adults using the MEGA-PRESS sequence. Because the distribution of GABA varies across different brain tissues, various correction methods are available to account for this variation. Considering that these correction methods are highly dependent on the tissue composition of the voxel of interest, we examined differences in voxel composition between age groups and the impact of these various correction methods on the identification of age-related differences in GABA levels. Results indicated that, within both voxels of interest, older (as compared to young adults) exhibited smaller gray matter fraction accompanied by larger fraction of cerebrospinal fluid. Whereas uncorrected GABA levels were significantly lower in older as compared to young adults, this age effect was absent when GABA levels were corrected for voxel composition. These results suggest that age-related differences in GABA levels are at least partly driven by the age-related gray matter loss. However, as alterations in GABA levels might be region-specific, further research should clarify to what extent gray matter changes may account for age-related differences in GABA levels within other brain regions.
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Affiliation(s)
- Celine Maes
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Lize Hermans
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Lisa Pauwels
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Sima Chalavi
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Inge Leunissen
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Oron Levin
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Koen Cuypers
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,REVAL Research Institute, Hasselt University, Agoralaan, Building A, Diepenbeek, B-3590, Belgium
| | - Ronald Peeters
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.,Department of Radiology, University Hospitals Leuven, Gasthuisberg, UZ, Leuven, Belgium
| | - Stefan Sunaert
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.,Department of Radiology, University Hospitals Leuven, Gasthuisberg, UZ, Leuven, Belgium
| | - Dante Mantini
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Stephan P Swinnen
- Movement control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Leuven Brain Institute (LBI), Leuven, Belgium
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43
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Sleurs C, Lemiere J, Christiaens D, Billiet T, Peeters R, Sunaert S, Uyttebroeck A, Deprez S. Advanced MR diffusion imaging and chemotherapy-related changes in cerebral white matter microstructure of survivors of childhood bone and soft tissue sarcoma? Hum Brain Mapp 2018; 39:3375-3387. [PMID: 29675944 DOI: 10.1002/hbm.24082] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 04/03/2018] [Accepted: 04/04/2018] [Indexed: 12/13/2022] Open
Abstract
With the increase of survival rates of pediatric cancer patients, the number of children facing potential cognitive sequelae has grown. Previous adult studies suggest that white matter (WM) microstructural changes may contribute to cognitive impairment. This study aims to investigate WM microstructure in childhood bone and soft tissue sarcoma. Differences in (micro-)structure can be investigated using diffusion MRI (dMRI). The typically used diffusion tensor model (DTI) assumes Gaussian diffusion, and lacks information about fiber populations. In this study, we compare WM structure of childhood bone and soft tissue sarcoma survivors (n = 34) and matched controls (n = 34), combining typical and advanced voxel-based models (DTI and NODDI model, respectively), as well as recently developed fixel-based models (for estimations of intra-voxel differences, apparent fiber density [AFD] and fiber cross-section [FC]). Parameters with significant findings were compared between treatments, and correlated with subscales of the WAIS-IV intelligence test, age at diagnosis, age at assessment and time since diagnosis. We encountered extensive regions showing lower fractional anisotropy, overlapping with both significant NODDI parameters and fixel-based parameters. In contrast to these diffuse differences, the fixel-based measure of AFD was reduced in the cingulum and corpus callosum only. Furthermore, AFD of the corpus callosum was significantly predicted by chemotherapy treatment and correlated positively with time since diagnosis, visual puzzles and similarities task scores. This study suggests altered WM structure of childhood bone and soft tissue sarcoma survivors. We conclude global chemotherapy-related changes, with particular vulnerability of centrally located WM bundles. Finally, such differences could potentially recover after treatment.
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Affiliation(s)
- Charlotte Sleurs
- Department of Pediatrics, University Hospitals Leuven, UZ Leuven, Belgium.,Department of Radiology, University Hospitals Leuven, UZ Leuven, Belgium.,Department of Oncology, UZ Leuven, Belgium
| | - Jurgen Lemiere
- Department of Pediatrics, University Hospitals Leuven, UZ Leuven, Belgium
| | - Daan Christiaens
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Thibo Billiet
- Imaging Biomarker Experts, Icometrix, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, UZ Leuven, Belgium
| | - Stefan Sunaert
- Department of Radiology, University Hospitals Leuven, UZ Leuven, Belgium.,Department of Imaging and Pathology, UZ Leuven, Belgium
| | - Anne Uyttebroeck
- Department of Pediatrics, University Hospitals Leuven, UZ Leuven, Belgium.,Department of Oncology, UZ Leuven, Belgium
| | - Sabine Deprez
- Department of Radiology, University Hospitals Leuven, UZ Leuven, Belgium.,Department of Imaging and Pathology, UZ Leuven, Belgium
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De Roover R, Crijns W, Poels K, Peeters R, Draulans C, Haustermans K, Depuydt T. Characterization of a novel liquid fiducial marker for multimodal image guidance in stereotactic body radiotherapy of prostate cancer. Med Phys 2018. [PMID: 29537613 DOI: 10.1002/mp.12860] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
PURPOSE Liquid fiducial markers have shown to be a promising alternative to solid gold markers in terms of imaging artifact reduction, patient comfort, and compatibility with different imaging modalities. This study aims to investigate the performance of the novel BioXmark® liquid marker for state-of-the-art multimodal imaging used in prostate cancer (PCa) radiotherapy, encompassing kV CT/CBCT, multiparametric MRI, and kV x-ray imaging. In addition, automatic detection of the liquid markers in x-ray imaging for prostate motion monitoring during treatment was investigated. METHODS A total of eight BioXmark® liquid markers with varying volumes (range 5-300 μL) were casted on a square grid into a gelatin phantom insert. A cylindrical gold marker (QLRAD, length = 7 mm, Ø = 1 mm) was inserted for reference. Liquid marker visibility and streaking artifacts in CT/CBCT imaging were evaluated by placing the gelatin phantom into a CIRS anthropomorphic phantom. Relevant MRI characteristics such as the T2 and T1 relaxation times, the ADC value, and the relative proton density (ρH) were quantified by placing the gelatin phantom insert next to a T1MES mapping phantom and a water-filled syringe for reference. Ex vivo multiparametric MRI images were acquired by placing the gelatin phantom next to a resected prostate specimen. Anterior-posterior x-ray projection images were obtained by placing the gelatin phantom insert on top of an anthropomorphic pelvic phantom with internal pelvic bony structures and were acquired for five positions relative to the bony anatomy and 24 clinically relevant x-ray exposure settings. To quantify individual automatic marker detection, single markers were artificially isolated in the x-ray images using postprocessing. RESULTS Markers of all sizes were clearly visible on CT and CBCT images with only the largest marker volumes (100-300 μL) displaying artifacts similar in size to the gold fiducial marker. Artifact size increased with increasing liquid marker volume. Liquid markers displayed good contrast in ex vivo T1-weighted and ρH-weighted images. The markers were not visible in the ex vivo T2-weighted image. The liquid markers induced a chemical shift artifact in the obtained ADC-map. Automated detection in x-ray imaging was feasible with high detection success (four of five positions) for marker volumes in the range of 25-200 μL. None of the liquid markers were detected successfully when superimposed on a bony edge, independent of their size. CONCLUSIONS This study is the first to show the compatibility of BioXmark® liquid markers with multimodal image-guided radiotherapy for PCa. Compared to a solid gold marker, they had favorable results in both visibility and induced imaging artifacts. Liquid marker visibility in MRI imaging of the prostate does not solely depend on the low ρH value (not visible on T2-weighted image) but is also influenced by its relaxation times. Automated marker detection in x-ray images was feasible but better adapted marker detection algorithms are necessary for marker localization in the presence of bony edges. Hence, the liquid marker provides a minimally invasive (fine needles) and highly applicable alternative to current solid gold markers for multimodal image-guided prostate radiotherapy treatments.
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Affiliation(s)
- Robin De Roover
- Laboratory of Experimental Radiotherapy, Department of Oncology, KU Leuven - University of Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Wouter Crijns
- Department of Radiation Oncology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Kenneth Poels
- Department of Radiation Oncology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Cédric Draulans
- Laboratory of Experimental Radiotherapy, Department of Oncology, KU Leuven - University of Leuven, Herestraat 49, Leuven, B-3000, Belgium.,Department of Radiation Oncology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Karin Haustermans
- Laboratory of Experimental Radiotherapy, Department of Oncology, KU Leuven - University of Leuven, Herestraat 49, Leuven, B-3000, Belgium.,Department of Radiation Oncology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
| | - Tom Depuydt
- Laboratory of Experimental Radiotherapy, Department of Oncology, KU Leuven - University of Leuven, Herestraat 49, Leuven, B-3000, Belgium.,Department of Radiation Oncology, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium
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45
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Hermans L, Levin O, Maes C, van Ruitenbeek P, Heise KF, Edden RAE, Puts NAJ, Peeters R, King BR, Meesen RLJ, Leunissen I, Swinnen SP, Cuypers K. GABA levels and measures of intracortical and interhemispheric excitability in healthy young and older adults: an MRS-TMS study. Neurobiol Aging 2018; 65:168-177. [PMID: 29494863 DOI: 10.1016/j.neurobiolaging.2018.01.023] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 01/24/2018] [Accepted: 01/26/2018] [Indexed: 12/24/2022]
Abstract
Edited magnetic resonance spectroscopy (MRS) and transcranial magnetic stimulation (TMS) have often been used to study the integrity of the GABAergic neurotransmission system in healthy aging. To investigate whether the measurement outcomes obtained with these 2 techniques are associated with each other in older human adults, gamma-aminobutyric acid (GABA) levels in the left sensorimotor cortex were assessed with edited MRS in 28 older (63-74 years) and 28 young adults (19-34 years). TMS at rest was then used to measure intracortical inhibition (short-interval intracortical inhibition/long-interval intracortical inhibition), intracortical facilitation, interhemispheric inhibition from left to right primary motor cortex (M1) and recruitment curves of left and right M1. Our observations showed that short-interval intracortical inhibition and long-interval intracortical inhibition in the left M1 were reduced in older adults, while GABA levels did not significantly differ between age groups. Furthermore, MRS-assessed GABA within left sensorimotor cortex was not correlated with TMS-assessed cortical excitability or inhibition. These observations suggest that healthy aging gives rise to altered inhibition at the postsynaptic receptor level, which does not seem to be associated with MRS-assessed GABA+ levels.
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Affiliation(s)
- Lize Hermans
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Oron Levin
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Celine Maes
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Peter van Ruitenbeek
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium; Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, MD, the Netherlands
| | - Kirstin-Friederike Heise
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Richard A E Edden
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nicolaas A J Puts
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ronald Peeters
- Department of Imaging & Pathology, Biomedical Sciences Group, KU Leuven, Leuven, Belgium
| | - Bradley R King
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Raf L J Meesen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium; Rehabilitation Research Centre, Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium
| | - Inge Leunissen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium; Leuven Research Institute for Neuroscience & Disease (LIND), KU Leuven, Leuven, Belgium
| | - Koen Cuypers
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium; Rehabilitation Research Centre, Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
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46
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Boone NW, Liu L, Romberg-Camps MJ, Duijsens L, Houwen C, van der Kuy PHM, Janknegt R, Peeters R, Landewé RBM, Winkens B, van Bodegraven AA. The nocebo effect challenges the non-medical infliximab switch in practice. Eur J Clin Pharmacol 2018; 74:655-661. [PMID: 29368188 PMCID: PMC5893662 DOI: 10.1007/s00228-018-2418-4] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 01/10/2018] [Indexed: 02/07/2023]
Abstract
Background In clinical practice, non-medical switching of biological medication may provoke nocebo effects due to unexplained deterioration of therapeutic benefits. Indication extrapolation, idiosyncratic reactions, and interchangeability remain challenged in clinical practice after biosimilar approval by the European Medicines Agency. The principle of “first do no harm” may be challenged in a patient when switching from originator to biosimilar biological. Aim To describe the 1-year results of a pragmatic study on infliximab biosimilar implementation in immune-mediated inflammatory disease patients on the basis of shared decision-making under effectiveness and safety monitoring. Methods Inflammatory bowel disease and rheumatology patients on infliximab originator were converted to infliximab biosimilar after providing informed consent. Nocebo response patients were monitored after switch back to originator. Linear mixed models were used to analyze continuous endpoints on effectiveness and laboratory outcomes to determine significance (P ≤ 0.05) of change over time after switching. Results After inviting 146 patients, a group of 125 patients enrolled in the project over time, respectively, 73 Crohn’s disease, 28 ulcerative colitis, nine rheumatoid arthritis, ten psoriatic arthritis, and five ankylosing spondylitis patients. No statistically significant changes in effectiveness and safety were observed in any of the indications after a median of 4 infusions in 9 months of study. An overall nocebo response of 12.8% was found among the patients during a minimal observation period of 6 months after the transition to biosimilar infliximab. The overall nocebo response rate did not differ between the studied indications. Conclusions In inflammatory bowel disease and rheumatological patients, similar effectiveness and safety were demonstrated on the transition into infliximab biosimilar. In our series, patient empowerment and registration of treatment outcomes delineated biosimilar transition, an approach that hypothetically could reduce nocebo response rates which are relevant to account for regarding biosimilar implementation. Electronic supplementary material The online version of this article (10.1007/s00228-018-2418-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- N W Boone
- Department of Clinical Pharmacy, Pharmacology and Toxicology, Zuyderland Medical Centre, PO Box 5500, NL, 6162 BG, Heerlen, Sittard-Geleen, The Netherlands.
| | - L Liu
- Department of Gastroenterology, Geriatrics, Internal and Intensive Care Medicine (Co-MIK), Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands
| | - M J Romberg-Camps
- Department of Gastroenterology, Geriatrics, Internal and Intensive Care Medicine (Co-MIK), Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands
| | - L Duijsens
- Department of Gastroenterology, Geriatrics, Internal and Intensive Care Medicine (Co-MIK), Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands
| | - C Houwen
- Department of Clinical Pharmacy, Pharmacology and Toxicology, Zuyderland Medical Centre, PO Box 5500, NL, 6162 BG, Heerlen, Sittard-Geleen, The Netherlands
| | - P H M van der Kuy
- Department of Clinical Pharmacy, Pharmacology and Toxicology, Zuyderland Medical Centre, PO Box 5500, NL, 6162 BG, Heerlen, Sittard-Geleen, The Netherlands.,Department of Clinical pharmacy, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - R Janknegt
- Department of Clinical Pharmacy, Pharmacology and Toxicology, Zuyderland Medical Centre, PO Box 5500, NL, 6162 BG, Heerlen, Sittard-Geleen, The Netherlands
| | - R Peeters
- Department of Rheumatology, Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands
| | - R B M Landewé
- Department of Rheumatology, Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands.,Amsterdam Rheumatology & Immunology Centre, Amsterdam-Zuidoost, The Netherlands
| | - B Winkens
- Department of Methodology and Statistics, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - A A van Bodegraven
- Department of Gastroenterology, Geriatrics, Internal and Intensive Care Medicine (Co-MIK), Zuyderland Medical Centre, Heerlen, Sittard-Geleen, The Netherlands
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47
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Yin T, Peeters R, Yu J, Ni Y. Development and applications of acquisition techniques for rat pancreatic imaging at clinical scanners. ACTA ACUST UNITED AC 2017. [DOI: 10.20517/2572-8180.2017.19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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48
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Yin T, Liu Y, Peeters R, Feng Y, Ni Y. Pancreatic imaging: Current status of clinical practices and small animal studies. World J Methodol 2017; 7:101-107. [PMID: 29026690 PMCID: PMC5618143 DOI: 10.5662/wjm.v7.i3.101] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 08/22/2017] [Accepted: 09/04/2017] [Indexed: 02/06/2023] Open
Abstract
Different causative factors acting on the pancreas can result in diseases such as pancreatitis, diabetes and pancreatic tumors. The high incidence and mortality of pancreatic diseases have placed diagnostic imaging in a crucial position in daily clinical practice. In this mini-review article different pancreatic imaging techniques are discussed, from the standard clinical imaging modalities and state of the art clinical magnetic resonance imaging techniques to current situations in pre-clinical pancreatic imaging studies. In particular, the challenges of pre-clinical rodent pancreatic imaging are addressed, with both the image acquisition techniques and the post-processing methods for rodent pancreatic imaging elaborated.
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Affiliation(s)
- Ting Yin
- Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, 3000 Leuven, Belgium
| | - Yewei Liu
- Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, 3000 Leuven, Belgium
| | - Ronald Peeters
- Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, 3000 Leuven, Belgium
| | - Yuanbo Feng
- Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, 3000 Leuven, Belgium
| | - Yicheng Ni
- Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, 3000 Leuven, Belgium
- Department of Radiology, University Hospitals, KU Leuven, 3000 Leuven, Belgium
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49
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Neyens V, Bruffaerts R, Liuzzi AG, Kalfas I, Peeters R, Keuleers E, Vogels R, De Deyne S, Storms G, Dupont P, Vandenberghe R. Representation of Semantic Similarity in the Left Intraparietal Sulcus: Functional Magnetic Resonance Imaging Evidence. Front Hum Neurosci 2017; 11:402. [PMID: 28824405 PMCID: PMC5543089 DOI: 10.3389/fnhum.2017.00402] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 07/20/2017] [Indexed: 11/13/2022] Open
Abstract
According to a recent study, semantic similarity between concrete entities correlates with the similarity of activity patterns in left middle IPS during category naming. We examined the replicability of this effect under passive viewing conditions, the potential role of visuoperceptual similarity, where the effect is situated compared to regions that have been previously implicated in visuospatial attention, and how it compares to effects of object identity and location. Forty-six subjects participated. Subjects passively viewed pictures from two categories, musical instruments and vehicles. Semantic similarity between entities was estimated based on a concept-feature matrix obtained in more than 1,000 subjects. Visuoperceptual similarity was modeled based on the HMAX model, the AlexNet deep convolutional learning model, and thirdly, based on subjective visuoperceptual similarity ratings. Among the IPS regions examined, only left middle IPS showed a semantic similarity effect. The effect was significant in hIP1, hIP2, and hIP3. Visuoperceptual similarity did not correlate with similarity of activity patterns in left middle IPS. The semantic similarity effect in left middle IPS was significantly stronger than in the right middle IPS and also stronger than in the left or right posterior IPS. The semantic similarity effect was similar to that seen in the angular gyrus. Object identity effects were much more widespread across nearly all parietal areas examined. Location effects were relatively specific for posterior IPS and area 7 bilaterally. To conclude, the current findings replicate the semantic similarity effect in left middle IPS under passive viewing conditions, and demonstrate its anatomical specificity within a cytoarchitectonic reference frame. We propose that the semantic similarity effect in left middle IPS reflects the transient uploading of semantic representations in working memory.
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Affiliation(s)
- Veerle Neyens
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of LeuvenLeuven, Belgium
| | - Rose Bruffaerts
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of LeuvenLeuven, Belgium.,Neurology Department, University Hospitals LeuvenLeuven, Belgium.,Department of Psychology, Centre for Speech, Language, and the Brain, University of CambridgeCambridge, United Kingdom
| | - Antonietta G Liuzzi
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of LeuvenLeuven, Belgium
| | - Ioannis Kalfas
- Laboratory of Neurophysiology, Department of Neurosciences, University of LeuvenLeuven, Belgium
| | - Ronald Peeters
- Radiology Department, University Hospitals LeuvenLeuven, Belgium
| | - Emmanuel Keuleers
- Department of Communication and Information Sciences, Tilburg UniversityNetherlands
| | - Rufin Vogels
- Laboratory of Neurophysiology, Department of Neurosciences, University of LeuvenLeuven, Belgium
| | - Simon De Deyne
- Humanities and Social Sciences Group, Laboratory of Experimental Psychology, University of LeuvenLeuven, Belgium.,Computational Cognitive Science Laboratory, University of AdelaideAdelaide, SA, Australia
| | - Gert Storms
- Humanities and Social Sciences Group, Laboratory of Experimental Psychology, University of LeuvenLeuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of LeuvenLeuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of LeuvenLeuven, Belgium.,Neurology Department, University Hospitals LeuvenLeuven, Belgium
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Pazmany E, Ly HG, Aerts L, Kano M, Bergeron S, Verhaeghe J, Peeters R, Tack J, Dupont P, Enzlin P, Van Oudenhove L. Brain responses to vestibular pain and its anticipation in women with Genito-Pelvic Pain/Penetration Disorder. Neuroimage Clin 2017; 16:477-490. [PMID: 28932680 PMCID: PMC5596304 DOI: 10.1016/j.nicl.2017.07.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 07/02/2017] [Accepted: 07/22/2017] [Indexed: 01/27/2023]
Abstract
Objective In DSM-5, pain-related fear during anticipation of vaginal penetration is a diagnostic criterion of Genito-Pelvic Pain/Penetration Disorder (GPPPD). We aimed to investigate subjective and brain responses during anticipatory fear and subsequent induction of vestibular pain in women with GPPPD. Methods Women with GPPPD (n = 18) and age-matched healthy controls (HC) (n = 15) underwent fMRI scanning during vestibular pain induction at individually titrated pain threshold after a cued anticipation period. (Pain-related) fear and anxiety traits were measured with questionnaires prior to scanning, and anticipatory fear and pain intensity were rated during scanning using visual analog scales. Results Women with GPPPD reported significantly higher levels of anticipatory fear and pain intensity. During anticipation and pain induction they had stronger and more extensive brain responses in regions involved in cognitive and affective aspects of pain perception, but the group difference did not reach significance for the anticipation condition. Pain-related fear and anxiety traits as well as anticipatory fear ratings were positively associated with pain ratings in GPPPD, but not in HC. Further, in HC, a negative association was found between anticipatory fear ratings and brain responses in regions involved in cognitive and affective aspects of pain perception, but not in women with GPPPD. Conclusions Women with GPPPD are characterized by increased subjective and brain responses to vestibular pain and, to a lesser extent, its anticipation, with fear and anxiety associated with responses to pain, supporting the introduction of anticipatory fear as a criterion of GPPPD in DSM-5. Both subjective and brain responses during anticipation and induction of vestibular pain are increased in women with GPPPD. Between-group differences were found in brain regions involved in cognitive and affective aspects of the pain experience. These results support the addition of pain-related fear and anxiety in the diagnostic criteria of GPPPD in DSM-5.
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Key Words
- Anticipation of pain
- DSM-5, Diagnostic Statistical Manual of Mental Disorders, fifth edition
- FM, fibromyalgia
- FPQ, Fear of Pain Questionnaire
- GPPPD, Genito-Pelvic Pain/Penetration Disorder
- Genito-pelvic pain/penetration disorder
- HC, healthy controls
- IBS, irritable bowel syndrome
- OFC, orbitofrontal cortex
- PASS, Pain Anxiety Symptoms Scale
- PVD, provoked vestibulodynia
- Pain-related fear and anxiety
- Provoked vestibulodynia
- Q1, Quartile 1
- Q3, Quartile 3
- SAS, statistical analysis software
- SD, standard deviation
- SII, secondary somatosensory cortex
- SMA, supplementary motor area
- SPM8, Statistical Parametric Mapping, SPM8
- SPSS, Statistical Package for Social Sciences
- STAI, State-Trait Anxiety Inventory
- TR/TE, repetition time/echo time
- VAS, Visual Analogue Scale
- Vestibular pain
- aMCC, anterior midcingulate cortex
- dlPFC, dorsolateral prefrontal cortex
- fMRI
- fMRI, functional magnetic resonance imaging
- n, number
- pACC, perigenual anterior cingulate cortex
- vlPFC, ventrolateral prefrontal cortex
- vmPFC, ventromedial prefrontal cortex
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Affiliation(s)
- Els Pazmany
- Institute for Family and Sexuality Studies, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Huynh Giao Ly
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Clinical and Experimental Medicine, KU Leuven, Leuven, Belgium
| | - Leen Aerts
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Michiko Kano
- The Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
| | - Sophie Bergeron
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Johan Verhaeghe
- Department of Gynaecology, University Hospitals Leuven, Leuven, Belgium
| | - Ronald Peeters
- Medical Diagnostic Sciences, KU Leuven & Radiology University Hospitals Leuven, Leuven, Belgium
| | - Jan Tack
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Clinical and Experimental Medicine, KU Leuven, Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven & Medical Imaging Centre, University Hospitals Leuven, Leuven, Belgium
| | - Paul Enzlin
- Institute for Family and Sexuality Studies, Department of Neurosciences, KU Leuven, Leuven, Belgium.,Centre for Clinical Sexology and Sex Therapy, University Psychiatric Centre, KU Leuven, Leuven, Belgium
| | - Lukas Van Oudenhove
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Clinical and Experimental Medicine, KU Leuven, Leuven, Belgium
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