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  • 1
    In: Journal of the American Medical Directors Association, Elsevier BV, Vol. 21, No. 4 ( 2020-04), p. 486-492.e7
    Type of Medium: Online Resource
    ISSN: 1525-8610
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 2
    In: Cephalalgia, SAGE Publications, Vol. 35, No. 1 ( 2015-01), p. 3-9
    Abstract: The hallmark of migraine aura (MA) is transient cortical dysfunction but it is not known if MA is associated with structural cortical or subcortical changes. To determine the relation between MA and structural gray matter abnormalities, we studied a unique sample of 20 patients with frequent side-locked MA, i.e. visual aura consistently occurring in the same hemifield. Methods We applied a highly sensitive within-patient design to assess anatomical differences with both voxel-based morphometry and surface-based morphometry on a whole-hemisphere level and for specific anatomical regions of interest. Within-subject comparisons were made with regard to aura symptoms ( N = 20 vs 20) and with regard to headache ( N = 13 vs 13). Results We found no differences in gray matter structure with regard to aura symptoms in MA patients. Comparing the typical migraine headache side of the patients to the contralateral side revealed a difference in cortical thickness in the inferior frontal gyrus (mean difference 0.12 mm, p = 0.036). Conclusion MA per se is associated with abnormal function but not with lateralized abnormalities of gray matter structure. Alteration of the inferior frontal cortex suggests structural reorganization of pain inhibitory circuits in response to the repeated intense nociceptive input due to the headache attacks.
    Type of Medium: Online Resource
    ISSN: 0333-1024 , 1468-2982
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2019999-5
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  • 3
    In: Cephalalgia, SAGE Publications, Vol. 39, No. 5 ( 2019-04), p. 665-673
    Abstract: Several previous studies have investigated cortical abnormalities, specifically cortical thickness, in patients with migraine, with variable results. The relatively small sample sizes of most previous studies may partially explain these inconsistencies. Objective To investigate differences of cortical thickness between control subjects and migraineurs in a large cohort. Methods Three Tesla MRI data of 131 patients (38 with and 93 without aura) and 115 control subjects were analysed. A vertex-wise linear model was applied controlling for age, gender and MRI scanner to investigate differences between groups and determine the impact of clinical factors on cortical thickness measures. Results Migraineurs showed areas of thinned cortex compared with controls bilaterally in the central sulcus, in the left middle-frontal gyrus, in left visual cortices and the right occipito-temporal gyrus. Frequency of migraine attacks and the duration of the disorder had a significant impact on cortical thickness in the sensorimotor cortex and middle-frontal gyrus. Patients without aura showed thinner cortex than controls bilaterally in the central sulcus and in the middle frontal gyrus, in the left primary visual cortices, in the left supramarginal gyrus and in the right cuneus. Patients with aura showed clusters of thinner cortex bilaterally in the subparietal sulcus (between the precuneus and posterior cingulate cortex), in the left intraparietal sulcus and in the right anterior cingulate. Conclusion These results indicate cortical abnormalities in specific brain regions in migraineurs. Some of the observed abnormalities may reflect a genetic susceptibility towards developing migraine attacks, while others are probably a consequence of repeated head pain attacks.
    Type of Medium: Online Resource
    ISSN: 0333-1024 , 1468-2982
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2019999-5
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  • 4
    In: Human Brain Mapping, Wiley, Vol. 41, No. 8 ( 2020-06), p. 2198-2215
    Abstract: In multiple sclerosis (MS), cortical atrophy is correlated with clinical and neuropsychological measures. We aimed to examine the differences in the temporospatial evolution of cortical thickness (CTh) between MS‐subtypes and to study the association of CTh with T2‐weighted white matter lesions (T2LV) and clinical progression. Two hundred and forty‐three MS patients (180 relapsing–remitting [RRMS], 51 secondary‐progressive [SPMS] , and 12 primary‐progressive [PPMS]) underwent annual clinical (incl. expanded disability status scale [EDSS] ) and MRI‐examinations over 6 years. T2LV and CTh were measured. CTh did not differ between MS‐subgroups. Higher total T2LV was associated with extended bilateral CTh‐reduction on average, but did not correlate with CTh‐changes over time. In RRMS, CTh‐ and EDSS‐changes over time were negatively correlated in large bilateral prefrontal, frontal, parietal, temporal, and occipital areas. In SPMS, CTh was not associated with the EDSS. In PPMS, CTh‐ and EDSS‐changes over time were correlated in small clusters predominantly in left parietal areas. Increase of brain lesion load does not lead to an immediate CTh‐reduction. Although CTh did not differ between MS‐subtypes, a dissociation in the correlation between CTh‐ and EDSS‐changes over time between RRMS and progressive‐MS was shown, possibly underlining the contribution of subcortical pathology to clinical progression in progressive‐MS.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1492703-2
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  • 5
    In: Human Brain Mapping, Wiley, Vol. 42, No. 8 ( 2021-06), p. 2399-2415
    Abstract: There is evidence that multiple sclerosis (MS) pathology leads to distinct patterns of volume loss over time (VLOT) in different central nervous system (CNS) structures. We aimed to use such patterns to identify patient subgroups. MS patients of all classical disease phenotypes underwent annual clinical, blood, and MRI examinations over 6 years. Spinal, striatal, pallidal, thalamic, cortical, white matter, and T2‐weighted lesion volumes as well as serum neurofilament light chain (sNfL) were quantified. CNS VLOT patterns were identified using principal component analysis and patients were classified using hierarchical cluster analysis. 225 MS patients were classified into four distinct Groups A, B, C, and D including 14, 59, 141, and 11 patients, respectively). These groups did not differ in baseline demographics, disease duration, disease phenotype distribution, and lesion‐load expansion. Interestingly, Group A showed pronounced spinothalamic VLOT, Group B marked pallidal VLOT, Group C small between‐structure VLOT differences, and Group D myelocortical volume increase and pronounced white matter VLOT. Neurologic deficits were more severe and progressed faster in Group A that also had higher mean sNfL levels than all other groups. Group B experienced more frequent relapses than Group C. In conclusion, there are distinct patterns of VLOT across the CNS in MS patients, which do not overlap with clinical MS subtypes and are independent of disease duration and lesion‐load but are partially associated to sNfL levels, relapse rates, and clinical worsening. Our findings support the need for a more biologic classification of MS subtypes including volumetric and body‐fluid markers.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1492703-2
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  • 6
    In: Multiple Sclerosis Journal, SAGE Publications, Vol. 21, No. 6 ( 2015-05), p. 757-766
    Abstract: In relapsing–remitting multiple sclerosis (RRMS), the cerebellum is a known predilection site for atrophy. Neuromyelitis optica (NMO) is characterized by extensive lesions in the spinal cord and optic nerve; however, cerebellar involvement has been less studied. Secondary degeneration of the spinocerebellar tract could impact the cerebellum in NMO. Objective: We aimed to investigate whether spinal cord and cerebellar volume measures differ between patients with NMO and RRMS. Methods: Volumetric analyses of the cerebellum (TCV), the upper cervical cord (UCV) as well as the whole brain (NBV) of age- and gender-matched patients with NMO ( n=30; 56% AQP4 +ve) and RRMS ( n=25) were performed on 3T brain magnetic resonance imaging (MRI) and compared with 34 healthy controls (HC). Results: UCV was significantly reduced in NMO patients (6.3 cm 3 ) as compared with HC (6.7 cm 3 ), while patients with MS had reduced brain volumes compared with HC (NBV=1482 cm 3 ; p 〈 0.001; TCV=188 cm 3 ; p=0.042), but UCV close to normal values. Patients with RRMS and NMO differed in NBV ( p=0.001; lower in RRMS) and by trend (towards reduction in RRMS) in cerebellar volume ( p=0.06). Conclusions: While atrophy seems to be diffuse in MS patients, a rather focussed pattern with predominant involvement of the UCV was observed in NMO patients.
    Type of Medium: Online Resource
    ISSN: 1352-4585 , 1477-0970
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2008225-3
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  • 7
    In: Human Brain Mapping, Wiley, Vol. 35, No. 8 ( 2014-08), p. 4193-4203
    Abstract: Deep gray matter (DGM) atrophy has been reported in patients with multiple sclerosis (MS) already at early stages of the disease and progresses throughout the disease course. We studied DGM volume and shape and their relation to disability in a large cohort of clinically well‐described MS patients using new subcortical segmentation methods and shape analysis. Structural 3D magnetic resonance images were acquired at 1.5 T in 118 patients with relapsing remitting MS. Subcortical structures were segmented using a multiatlas technique that relies on the generation of an automatically generated template library. To localize focal morphological changes, shape analysis was performed by estimating the vertex‐wise displacements each subject must undergo to deform to a template. Multiple linear regression analysis showed that the volume of specific thalamic nuclei (the ventral nuclear complex) together with normalized gray matter volume explains a relatively large proportion of expanded disability status scale (EDSS) variability. The deformation‐based displacement analysis confirmed the relation between thalamic shape and EDSS scores. Furthermore, white matter lesion volume was found to relate to the shape of all subcortical structures. This novel method for the analysis of subcortical volume and shape allows depicting specific contributions of DGM abnormalities to neurological deficits in MS patients. The results stress the importance of ventral thalamic nuclei in this respect. Hum Brain Mapp 35:4193–4203, 2014 . © 2014 Wiley Periodicals, Inc .
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 1492703-2
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  • 8
    In: Annals of Clinical and Translational Neurology, Wiley, Vol. 7, No. 11 ( 2020-11), p. 2251-2261
    Abstract: To determine the levels of brain‐derived neurotrophic factor (BDNF) in the serum of patients suffering from multiple sclerosis (MS) to evaluate the potential of serum BDNF as a biomarker for MS. Methods Using a recently validated enzyme‐linked immunoassay (ELISA) we measured BDNF in patients with MS (pwMS), diagnosed according to the 2001 McDonald criteria and aged between 18 and 70 years, participating in a long‐term cohort study with annual clinical visits, including blood sampling, neuropsychological testing, and brain magnetic resonance imaging (MRI). The results were compared with an age‐ and sex‐matched cohort of healthy controls (HC). Correlations between BDNF levels and a range of clinical and magnetic resonance imaging variables were assessed using an adjusted linear model. Results In total, 259 pwMS and 259 HC were included, with a mean age of 44.42 ± 11.06 and 44.31 ± 11.26 years respectively. Eleven had a clinically isolated syndrome (CIS), 178 relapsing remitting MS (RRMS), 56 secondary progressive MS (SPMS), and 14 primary progressive MS (PPMS). Compared with controls, mean BDNF levels were lower by 8 % (p˂0.001) in pwMS. The level of BDNF in patients with SPMS was lower than in RRMS (p = 0.004). Interpretation We conclude that while the use of comparatively large cohorts enables the detection of a significant difference in BDNF levels between pwMS and HC, the difference is small and unlikely to usefully inform decision‐making processes at an individual patient level.
    Type of Medium: Online Resource
    ISSN: 2328-9503 , 2328-9503
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2740696-9
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  • 9
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Aging Neuroscience Vol. 13 ( 2021-6-15)
    In: Frontiers in Aging Neuroscience, Frontiers Media SA, Vol. 13 ( 2021-6-15)
    Abstract: Background : Various working memory (WM) trainings have been tested, but differences in experimental designs, the lack of theoretical background, and the need of identifying task-related processes such as filtering efficiency limit conclusions about their comparative efficacy. Objectives : In this study, we compared the efficacy of a model-based WM training with (MB + ) and without (MB) distractor inhibition on improving WM capacity to a dual n-back and active control condition. Methods : This randomized clinical trial included 123 healthy elderly adults (78 women, 45 men; aged 64.1 ± 8.3 years). All groups underwent 12 40-min training sessions over 3 weeks and four cognitive testing sessions. The first two sessions served as double baseline to account for practice effects. Primary outcome was WM capacity post-training measured by complex span tasks. Near and far transfer was assessed by simple span, n-back, visuospatial and verbal learning, processing speed, and reasoning tasks. Results : Due to preliminary termination (COVID-19), 93 subjects completed the post-training and 60 subjects the follow-up session. On a whole group level, practice effects occurred from prebaseline to baseline in WM capacity ( b = 4.85, t (103) = 4.01, p & lt; 0.001, r = 0.37). Linear mixed-effects models revealed a difference in WM capacity post-training between MB + and MB ( b = −9.62, t (82) = −2.52, p = 0.014, r = 0.27) and a trend difference between MB + and dual n-back ( b = −7.59, t (82) = −1.87, p = 0.065, r = 0.20) and control training ( b = −7.08, t (82) = −1.86, p = 0.067, r = 0.20). Univariate analyses showed an increase between pre- and post-training for WM capacity within MB + ( t (22) = −3.34, p & lt; 0.05) only. There was no difference between groups pre- and post-training regarding near and far transfer. Univariate analyses showed improved visuospatial learning within MB + ( t (21) = −3.8, p & lt; 0.05), improved processing speed ( t (23) = 2.19, p & lt; 0.05) and n -back performance ( t (23) = 2.12, p & lt; 0.05) in MB, and improved n -back performance ( t (25) = 3.83, p & lt; 0.001) in the dual n -back training. Interpretation : A model-based WM training including filtering efficacy may be a promising approach to increase WM capacity and needs further investigation in randomized controlled studies.
    Type of Medium: Online Resource
    ISSN: 1663-4365
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2558898-9
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  • 10
    In: Journal of Neuro-Oncology, Springer Science and Business Media LLC, Vol. 111, No. 2 ( 2013-1), p. 177-185
    Type of Medium: Online Resource
    ISSN: 0167-594X , 1573-7373
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
    detail.hit.zdb_id: 2007293-4
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