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  1. Artikel ; Online: Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time.

    Bouman, Piet M / van Dam, Maureen A / Jonkman, Laura E / Steenwijk, Martijn D / Schoonheim, Menno M / Geurts, Jeroen J G / Hulst, Hanneke E

    Journal of neurology

    2024  Band 271, Heft 5, Seite(n) 2159–2168

    Abstract: Objectives: To study the frequency of isolated (i.e., single-domain) cognitive impairments, domain specific MRI correlates, and its longitudinal development in people with multiple sclerosis (PwMS).: Methods: 348 PwMS (mean age 48 ± 11 years, 67% ... ...

    Abstract Objectives: To study the frequency of isolated (i.e., single-domain) cognitive impairments, domain specific MRI correlates, and its longitudinal development in people with multiple sclerosis (PwMS).
    Methods: 348 PwMS (mean age 48 ± 11 years, 67% female, 244RR/52SP/38PP) underwent neuropsychological testing (extended BRB-N) at baseline and at five-year follow-up. At baseline, structural MRI was acquired. Isolated cognitive impairment was defined as a Z-score of at least 1.5 SD below normative data in one domain only (processing speed, memory, executive functioning/working memory, and attention). Multi-domain cognitive impairment was defined as being affected in ≥ 2 domains, and cognitively preserved otherwise. For PwMS with isolated cognitive impairment, MRI correlates were explored using linear regression. Development of isolated cognitive impairment over time was evaluated based on reliable change index.
    Results: At baseline, 108 (31%) PwMS displayed isolated cognitive impairment, 148 (43%) PwMS displayed multi-domain cognitive impairment. Most PwMS with isolated cognitive impairment were impaired on executive functioning/working memory (EF/WM; N = 37), followed by processing speed (IPS; N = 25), memory (N = 23), and attention (N = 23). Isolated IPS impairment was explained by a model of cortical volume and fractional anisotropy (adj. R
    Conclusion: Isolated cognitive impairment is frequently present in PwMS and can serve as a proxy for further decline, particularly when it concerns processing speed. Cortical and deep grey matter atrophy seem to play a pivotal role in isolated cognitive impairment. Timely detection and patient-tailored intervention, predominantly for IPS, may help to postpone further cognitive decline.
    Mesh-Begriff(e) Humans ; Female ; Middle Aged ; Male ; Cognitive Dysfunction/etiology ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/physiopathology ; Multiple Sclerosis/diagnostic imaging ; Multiple Sclerosis/complications ; Magnetic Resonance Imaging ; Adult ; Neuropsychological Tests ; Longitudinal Studies ; Disease Progression ; Brain/diagnostic imaging ; Brain/pathology ; Follow-Up Studies ; Executive Function/physiology
    Sprache Englisch
    Erscheinungsdatum 2024-01-30
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 187050-6
    ISSN 1432-1459 ; 0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
    ISSN (online) 1432-1459
    ISSN 0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
    DOI 10.1007/s00415-024-12185-8
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  2. Artikel ; Online: The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics.

    Schoonheim, Menno M / Broeders, Tommy A A / Geurts, Jeroen J G

    NeuroImage. Clinical

    2022  Band 35, Seite(n) 103108

    Abstract: Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central nervous system that can be considered a network disorder. In MS, lesional pathology continuously disconnects structural pathways in the brain, forming a disconnection ...

    Abstract Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central nervous system that can be considered a network disorder. In MS, lesional pathology continuously disconnects structural pathways in the brain, forming a disconnection syndrome. Complex functional network changes then occur that are poorly understood but closely follow clinical status. Studying these structural and functional network changes has been and remains crucial to further decipher complex symptoms like cognitive impairment and physical disability. Recent insights especially implicate the importance of monitoring network hubs in MS, like the thalamus and default-mode network which seem especially hit hard. Such network insights in MS have led to the hypothesis that as the network continues to become disconnected and dysfunctional, exceeding a certain threshold of network efficiency loss leads to a "network collapse". After this collapse, crucial network hubs become rigid and overloaded, and at the same time a faster neurodegeneration and accelerated clinical (and cognitive) progression can be seen. As network neuroscience has evolved, the MS field can now move towards a clearer classification of the network collapse itself and specific milestone events leading up to it. Such an updated network-focused conceptual framework of MS could directly impact clinical decision making as well as the design of network-tailored rehabilitation strategies. This review therefore provides an overview of recent network concepts that have enhanced our understanding of clinical progression in MS, especially focusing on cognition, as well as new concepts that will likely move the field forward in the near future.
    Mesh-Begriff(e) Brain ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Multiple Sclerosis/pathology ; Neural Pathways
    Sprache Englisch
    Erscheinungsdatum 2022-07-14
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2701571-3
    ISSN 2213-1582 ; 2213-1582
    ISSN (online) 2213-1582
    ISSN 2213-1582
    DOI 10.1016/j.nicl.2022.103108
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  3. Artikel: Cysteine Proteases and Mitochondrial Instability: A Possible Vicious Cycle in MS Myelin?

    Poerwoatmodjo, Anthony / Schenk, Geert J / Geurts, Jeroen J G / Luchicchi, Antonio

    Frontiers in cellular neuroscience

    2020  Band 14, Seite(n) 612383

    Sprache Englisch
    Erscheinungsdatum 2020-12-01
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2452963-1
    ISSN 1662-5102
    ISSN 1662-5102
    DOI 10.3389/fncel.2020.612383
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  4. Artikel ; Online: Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis.

    Koubiyr, Ismail / Krijnen, Eva A / Eijlers, Anand J C / Dekker, Iris / Hulst, Hanneke E / Uitdehaag, Bernard M J / Barkhof, Frederik / Geurts, Jeroen J G / Schoonheim, Menno M

    Brain communications

    2024  Band 6, Heft 1, Seite(n) fcae018

    Abstract: During the course of multiple sclerosis, many patients experience cognitive deficits which are not simply driven by lesion number or location. By considering the full complexity of white matter structure at macro- and microstructural levels, our ... ...

    Abstract During the course of multiple sclerosis, many patients experience cognitive deficits which are not simply driven by lesion number or location. By considering the full complexity of white matter structure at macro- and microstructural levels, our understanding of cognitive impairment in multiple sclerosis may increase substantially. Accordingly, this study aimed to investigate specific patterns of white matter degeneration, the evolution over time, the manifestation across different stages of the disease and their role in cognitive impairment using a novel fixel-based approach. Neuropsychological test scores and MRI scans including 30-direction diffusion-weighted images were collected from 327 multiple sclerosis patients (mean age = 48.34 years, 221 female) and 95 healthy controls (mean age = 45.70 years, 55 female). Of those, 233 patients and 61 healthy controls had similar follow-up assessments 5 years after. Patients scoring 1.5 or 2 standard deviations below healthy controls on at least two out of seven cognitive domains (from the Brief Repeatable Battery of Neuropsychological Tests, BRB-N) were classified as mildly cognitively impaired or cognitively impaired, respectively, or otherwise cognitively preserved. Fixel-based analysis of diffusion data was used to calculate fibre-specific measures (fibre density, reflecting microstructural diffuse axonal damage; fibre cross-section, reflecting macrostructural tract atrophy) within atlas-based white matter tracts at each visit. At baseline, all fixel-based measures were significantly worse in multiple sclerosis compared with healthy controls (
    Sprache Englisch
    Erscheinungsdatum 2024-01-27
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2632-1297
    ISSN (online) 2632-1297
    DOI 10.1093/braincomms/fcae018
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  5. Artikel ; Online: Artificial double inversion recovery images can substitute conventionally acquired images: an MRI-histology study.

    Bouman, Piet M / Steenwijk, Martijn D / Geurts, Jeroen J G / Jonkman, Laura E

    Scientific reports

    2022  Band 12, Heft 1, Seite(n) 2620

    Abstract: Cortical multiple sclerosis lesions are disease-specific, yet inconspicuous on magnetic resonance images (MRI). Double inversion recovery (DIR) images are sensitive, but often unavailable in clinical routine and clinical trials. Artificially generated ... ...

    Abstract Cortical multiple sclerosis lesions are disease-specific, yet inconspicuous on magnetic resonance images (MRI). Double inversion recovery (DIR) images are sensitive, but often unavailable in clinical routine and clinical trials. Artificially generated images can mitigate this issue, but lack histopathological validation. In this work, artificial DIR images were generated from postmortem 3D-T1 and proton-density (PD)/T2 or 3D-T1 and 3D fluid-inversion recovery (FLAIR) images, using a generative adversarial network. All sequences were scored for cortical lesions, blinded to histopathology. Subsequently, tissue samples were stained for proteolipid protein (myelin) and scored for cortical lesions type I-IV (leukocortical, intracortical, subpial and cortex-spanning, respectively). Histopathological scorings were then (unblinded) compared to MRI using linear mixed models. Images from 38 patients (26 female, mean age 64.3 ± 10.7) were included. A total of 142 cortical lesions were detected, predominantly subpial. Histopathology-blinded/unblinded sensitivity was 13.4/35.2% for artificial DIR generated from T1-PD/T2, 14.1/41.5% for artificial DIR from T1-FLAIR, 17.6/49.3% for conventional DIR and 10.6/34.5% for 3D-T1. When blinded to histopathology, there were no differences; with histopathological feedback at hand, conventional DIR and artificial DIR from T1-FLAIR outperformed the other sequences. Differences between histopathology-blinded/unblinded sensitivity could be minified through adjustment of the scoring criteria. In conclusion, artificial DIR images, particularly generated from T1-FLAIR could potentially substitute conventional DIR images when these are unavailable.
    Mesh-Begriff(e) Aged ; Cerebral Cortex/diagnostic imaging ; Cerebral Cortex/pathology ; Diagnosis ; Diffusion Tensor Imaging/methods ; Female ; Histological Techniques/methods ; Humans ; Image Processing, Computer-Assisted/methods ; Imaging, Three-Dimensional/methods ; Male ; Middle Aged ; Multiple Sclerosis/diagnostic imaging ; Multiple Sclerosis/pathology ; Neuroimaging/methods ; Sensitivity and Specificity
    Sprache Englisch
    Erscheinungsdatum 2022-02-16
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-06546-4
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  6. Artikel ; Online: Task- and resting-state fMRI studies in multiple sclerosis: From regions to systems and time-varying analysis. Current status and future perspective.

    Rocca, Maria A / Schoonheim, Menno M / Valsasina, Paola / Geurts, Jeroen J G / Filippi, Massimo

    NeuroImage. Clinical

    2022  Band 35, Seite(n) 103076

    Abstract: Multiple sclerosis (MS) is a neurological disorder affecting the central nervous system and features extensive functional brain changes that are poorly understood but relate strongly to clinical impairments. Functional magnetic resonance imaging (fMRI) ... ...

    Abstract Multiple sclerosis (MS) is a neurological disorder affecting the central nervous system and features extensive functional brain changes that are poorly understood but relate strongly to clinical impairments. Functional magnetic resonance imaging (fMRI) is a non-invasive, powerful technique able to map activity of brain regions and to assess how such regions interact for an efficient brain network. FMRI has been widely applied to study functional brain changes in MS, allowing to investigate functional plasticity consequent to disease-related structural injury. The first studies in MS using active fMRI tasks mainly aimed to study such plastic changes by identifying abnormal activity in salient brain regions (or systems) involved by the task. In later studies the focus shifted towards resting state (RS) functional connectivity (FC) studies, which aimed to map large-scale functional networks of the brain and to establish how MS pathology impairs functional integration, eventually leading to the hypothesized network collapse as patients clinically progress. This review provides a summary of the main findings from studies using task-based and RS fMRI and illustrates how functional brain alterations relate to clinical disability and cognitive deficits in this condition. We also give an overview of longitudinal studies that used task-based and RS fMRI to monitor disease evolution and effects of motor and cognitive rehabilitation. In addition, we discuss the results of studies using newer technologies involving time-varying FC to investigate abnormal dynamism and flexibility of network configurations in MS. Finally, we show some preliminary results from two recent topics (i.e., multimodal MRI analysis and artificial intelligence) that are receiving increasing attention. Together, these functional studies could provide new (conceptual) insights into disease stage-specific mechanisms underlying progression in MS, with recommendations for future research.
    Mesh-Begriff(e) Artificial Intelligence ; Brain ; Brain Mapping ; Humans ; Magnetic Resonance Imaging/methods ; Multiple Sclerosis/pathology
    Sprache Englisch
    Erscheinungsdatum 2022-06-06
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2701571-3
    ISSN 2213-1582 ; 2213-1582
    ISSN (online) 2213-1582
    ISSN 2213-1582
    DOI 10.1016/j.nicl.2022.103076
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Artificial double inversion recovery images can substitute conventionally acquired images

    Piet M. Bouman / Martijn D. Steenwijk / Jeroen J. G. Geurts / Laura E. Jonkman

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    an MRI-histology study

    2022  Band 9

    Abstract: Abstract Cortical multiple sclerosis lesions are disease-specific, yet inconspicuous on magnetic resonance images (MRI). Double inversion recovery (DIR) images are sensitive, but often unavailable in clinical routine and clinical trials. Artificially ... ...

    Abstract Abstract Cortical multiple sclerosis lesions are disease-specific, yet inconspicuous on magnetic resonance images (MRI). Double inversion recovery (DIR) images are sensitive, but often unavailable in clinical routine and clinical trials. Artificially generated images can mitigate this issue, but lack histopathological validation. In this work, artificial DIR images were generated from postmortem 3D-T1 and proton-density (PD)/T2 or 3D-T1 and 3D fluid-inversion recovery (FLAIR) images, using a generative adversarial network. All sequences were scored for cortical lesions, blinded to histopathology. Subsequently, tissue samples were stained for proteolipid protein (myelin) and scored for cortical lesions type I-IV (leukocortical, intracortical, subpial and cortex-spanning, respectively). Histopathological scorings were then (unblinded) compared to MRI using linear mixed models. Images from 38 patients (26 female, mean age 64.3 ± 10.7) were included. A total of 142 cortical lesions were detected, predominantly subpial. Histopathology-blinded/unblinded sensitivity was 13.4/35.2% for artificial DIR generated from T1-PD/T2, 14.1/41.5% for artificial DIR from T1-FLAIR, 17.6/49.3% for conventional DIR and 10.6/34.5% for 3D-T1. When blinded to histopathology, there were no differences; with histopathological feedback at hand, conventional DIR and artificial DIR from T1-FLAIR outperformed the other sequences. Differences between histopathology-blinded/unblinded sensitivity could be minified through adjustment of the scoring criteria. In conclusion, artificial DIR images, particularly generated from T1-FLAIR could potentially substitute conventional DIR images when these are unavailable.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 571 ; 610
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: The network collapse in multiple sclerosis

    Menno M. Schoonheim / Tommy A.A. Broeders / Jeroen J.G. Geurts

    NeuroImage: Clinical, Vol 35, Iss , Pp 103108- (2022)

    An overview of novel concepts to address disease dynamics

    2022  

    Abstract: Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central nervous system that can be considered a network disorder. In MS, lesional pathology continuously disconnects structural pathways in the brain, forming a disconnection ...

    Abstract Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central nervous system that can be considered a network disorder. In MS, lesional pathology continuously disconnects structural pathways in the brain, forming a disconnection syndrome. Complex functional network changes then occur that are poorly understood but closely follow clinical status. Studying these structural and functional network changes has been and remains crucial to further decipher complex symptoms like cognitive impairment and physical disability. Recent insights especially implicate the importance of monitoring network hubs in MS, like the thalamus and default-mode network which seem especially hit hard. Such network insights in MS have led to the hypothesis that as the network continues to become disconnected and dysfunctional, exceeding a certain threshold of network efficiency loss leads to a “network collapse”. After this collapse, crucial network hubs become rigid and overloaded, and at the same time a faster neurodegeneration and accelerated clinical (and cognitive) progression can be seen. As network neuroscience has evolved, the MS field can now move towards a clearer classification of the network collapse itself and specific milestone events leading up to it. Such an updated network-focused conceptual framework of MS could directly impact clinical decision making as well as the design of network-tailored rehabilitation strategies. This review therefore provides an overview of recent network concepts that have enhanced our understanding of clinical progression in MS, especially focusing on cognition, as well as new concepts that will likely move the field forward in the near future.
    Schlagwörter Multiple sclerosis ; Network ; Connectivity ; Hub ; Efficiency ; Cognition ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurology. Diseases of the nervous system ; RC346-429
    Thema/Rubrik (Code) 000
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Task- and resting-state fMRI studies in multiple sclerosis

    Maria A. Rocca / Menno M. Schoonheim / Paola Valsasina / Jeroen J.G. Geurts / Massimo Filippi

    NeuroImage: Clinical, Vol 35, Iss , Pp 103076- (2022)

    From regions to systems and time-varying analysis. Current status and future perspective

    2022  

    Abstract: Multiple sclerosis (MS) is a neurological disorder affecting the central nervous system and features extensive functional brain changes that are poorly understood but relate strongly to clinical impairments. Functional magnetic resonance imaging (fMRI) ... ...

    Abstract Multiple sclerosis (MS) is a neurological disorder affecting the central nervous system and features extensive functional brain changes that are poorly understood but relate strongly to clinical impairments. Functional magnetic resonance imaging (fMRI) is a non-invasive, powerful technique able to map activity of brain regions and to assess how such regions interact for an efficient brain network. FMRI has been widely applied to study functional brain changes in MS, allowing to investigate functional plasticity consequent to disease-related structural injury. The first studies in MS using active fMRI tasks mainly aimed to study such plastic changes by identifying abnormal activity in salient brain regions (or systems) involved by the task. In later studies the focus shifted towards resting state (RS) functional connectivity (FC) studies, which aimed to map large-scale functional networks of the brain and to establish how MS pathology impairs functional integration, eventually leading to the hypothesized network collapse as patients clinically progress. This review provides a summary of the main findings from studies using task-based and RS fMRI and illustrates how functional brain alterations relate to clinical disability and cognitive deficits in this condition. We also give an overview of longitudinal studies that used task-based and RS fMRI to monitor disease evolution and effects of motor and cognitive rehabilitation. In addition, we discuss the results of studies using newer technologies involving time-varying FC to investigate abnormal dynamism and flexibility of network configurations in MS. Finally, we show some preliminary results from two recent topics (i.e., multimodal MRI analysis and artificial intelligence) that are receiving increasing attention. Together, these functional studies could provide new (conceptual) insights into disease stage-specific mechanisms underlying progression in MS, with recommendations for future research.
    Schlagwörter Multiple sclerosis ; Functional MRI ; Resting-state fMRI ; Task fMRI ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurology. Diseases of the nervous system ; RC346-429
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Comparison of videolaryngoscopy alone with video-assisted fibreoptic intubation in a difficult cadaver airway model.

    Koopman, Erik M / van Emden, Michael W / Geurts, Jeroen J G / Schwarte, Lothar A / Schober, Patrick

    European journal of anaesthesiology

    2021  Band 38, Heft 3, Seite(n) 318–319

    Abstract: Abstract: No Abstract. ...

    Abstract Abstract: No Abstract.
    Mesh-Begriff(e) Cadaver ; Fiber Optic Technology ; Humans ; Intubation, Intratracheal ; Laryngoscopes ; Laryngoscopy
    Sprache Englisch
    Erscheinungsdatum 2021-02-01
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 605770-6
    ISSN 1365-2346 ; 0265-0215
    ISSN (online) 1365-2346
    ISSN 0265-0215
    DOI 10.1097/EJA.0000000000001333
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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 1955: Hefte anzeigen Standort:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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