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dc.date.accessioned2022-11-23T17:30:50Z
dc.date.available2022-11-23T17:30:50Z
dc.date.created2022-10-03T10:50:21Z
dc.date.issued2022
dc.identifier.citationRise, Henning Hoel Brune, Synne Chien, Claudia Berge, Tone Bos, Steffan Daniel Andorrà, Magí Valdeolivas, Irene Pulido Beyer, Mona K. Sowa, Piotr Scheel, Michael Brandt, Alexander U. Asseyer, Susanna Blennow, Kaj Pedersen, Mads Lund Zetterberg, Henrik de Schotten, Michel Thiebaut Cellerino, Maria Uccelli, Antonio Paul, Friedemann Villoslada, Pablo Harbo, Hanne-Cathrin Flinstad Westlye, Lars Tjelta Høgestøl, Einar August . Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study. NeuroImage: Clinical. 2022, 35, 1-11
dc.identifier.urihttp://hdl.handle.net/10852/97772
dc.description.abstractBackground and Objectives Connectivity-based approaches incorporating the distribution and magnitude of the extended brain network aberrations caused by lesions may offer higher sensitivity for axonal damage in patients with multiple sclerosis (MS) than conventional lesion characteristics. Using individual brain disconnectome mapping, we tested the longitudinal associations between putative imaging-based brain network aberrations and levels of serum neurofilament light chain (NfL) as a neuroaxonal injury biomarker. Methods MS patients (n = 312, mean age 42.9 years, 71 % female) and healthy controls (HC) (n = 59, mean age 39.9 years, 78 % female) were prospectively enrolled at four European MS centres, and reassessed after two years (MS, n = 242; HC, n = 30). Post-processing of 3 Tesla (3 T) MRI data was performed at one centre using a harmonized pipeline, and disconnectome maps were calculated using BCBtoolkit based on individual lesion maps. Global disconnectivity (GD) was defined as the average disconnectome probability in each patient’s white matter. Serum NfL concentrations were measured by single molecule array (Simoa). Robust linear mixed models (rLMM) with GD or T2-lesion volume (T2LV) as dependent variables, patient as a random factor, serum NfL, age, sex, timepoint for visit, diagnosis, treatment, and center as fixed factors were run. Results rLMM revealed significant associations between GD and serum NfL (t = 2.94, p = 0.003), age (t = 4.21, p = 2.5 × 10−5), and longitudinal changes in NfL (t = -2.29, p = 0.02), but not for sex (t = 0.63, p = 0.53) or treatments (t = 0.80–0.83, p = 0.41–0.42). Voxel-wise analyses revealed significant associations between dysconnectivity in cerebellar and brainstem regions and serum NfL (t = 7.03, p < 0.001). Discussion In our prospective multi-site MS cohort, rLMMs demonstrated that the extent of global and regional brain disconnectivity is sensitive to a systemic biomarker of axonal damage, serum NfL, in patients with MS. These findings provide a neuroaxonal correlate of advanced disconnectome mapping and provide a platform for further investigations of the functional and potential clinical relevance of brain disconnectome mapping in patients with brain disorders.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleBrain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study
dc.title.alternativeENEngelskEnglishBrain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study
dc.typeJournal article
dc.creator.authorRise, Henning Hoel
dc.creator.authorBrune, Synne
dc.creator.authorChien, Claudia
dc.creator.authorBerge, Tone
dc.creator.authorBos, Steffan Daniel
dc.creator.authorAndorrà, Magí
dc.creator.authorValdeolivas, Irene Pulido
dc.creator.authorBeyer, Mona K.
dc.creator.authorSowa, Piotr
dc.creator.authorScheel, Michael
dc.creator.authorBrandt, Alexander U.
dc.creator.authorAsseyer, Susanna
dc.creator.authorBlennow, Kaj
dc.creator.authorPedersen, Mads Lund
dc.creator.authorZetterberg, Henrik
dc.creator.authorde Schotten, Michel Thiebaut
dc.creator.authorCellerino, Maria
dc.creator.authorUccelli, Antonio
dc.creator.authorPaul, Friedemann
dc.creator.authorVilloslada, Pablo
dc.creator.authorHarbo, Hanne-Cathrin Flinstad
dc.creator.authorWestlye, Lars Tjelta
dc.creator.authorHøgestøl, Einar August
cristin.unitcode185,17,5,0
cristin.unitnamePsykologisk institutt
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2057734
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=NeuroImage: Clinical&rft.volume=35&rft.spage=1&rft.date=2022
dc.identifier.jtitleNeuroImage: Clinical
dc.identifier.volume35
dc.identifier.doihttps://doi.org/10.1016/j.nicl.2022.103099
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2213-1582
dc.type.versionPublishedVersion
cristin.articleid103099


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