guest ::
| Home > Publications database > Quantitative suspecptibility mapping reveals alterations of denate nuclei in common types of ataxias > print |
| Home > Publications database > Quantitative suspecptibility mapping reveals alterations of denate nuclei in common types of ataxias > print |
| 001 | 902565 | ||
| 005 | 20250414120445.0 | ||
| 024 | 7 | _ | |a 10.1093/braincomms/fcab306 |2 doi |
| 024 | 7 | _ | |a 2128/30729 |2 Handle |
| 024 | 7 | _ | |a altmetric:121159480 |2 altmetric |
| 024 | 7 | _ | |a 35291442 |2 pmid |
| 024 | 7 | _ | |a WOS:000804710200027 |2 WOS |
| 037 | _ | _ | |a FZJ-2021-04364 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Deistung, A. |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Quantitative suspecptibility mapping reveals alterations of denate nuclei in common types of ataxias |
| 260 | _ | _ | |a [Großbritannien] |c 2022 |b Guarantors of Brain |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1645106745_22170 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The cerebellar nuclei are a brain region with high iron content. Surprisingly, little is known about iron content in the cerebellar nuclei and its possible contribution to pathology in cerebellar ataxias, with the only exception of Friedreich’s ataxia. In the present exploratory cross-sectional study, quantitative susceptibility mapping was used to investigate volume, iron concentration and total iron content of the dentate nuclei in common types of hereditary and non-hereditary degenerative ataxias. Seventy-nine patients with spinocerebellar ataxias of types 1, 2, 3 and 6; 15 patients with Friedreich’s ataxia; 18 patients with multiple system atrophy, cerebellar type and 111 healthy controls were also included. All underwent 3 T MRI and clinical assessments. For each specific ataxia subtype, voxel-based and volumes-of-interest-based group analyses were performed in comparison with a corresponding age- and sex-matched control group, both for volume, magnetic susceptiblity (indicating iron concentration) and susceptibility mass (indicating total iron content) of the dentate nuclei. Spinocerebellar ataxia of type 1 and multiple system atrophy, cerebellar type patients showed higher susceptibilities in large parts of the dentate nucleus but unaltered susceptibility masses compared with controls. Friedreich’s ataxia patients and, only on a trend level, spinocerebellar ataxia of type 2 patients showed higher susceptibilities in more circumscribed parts of the dentate. In contrast, spinocerebellar ataxia of type 6 patients revealed lower susceptibilities and susceptibility masses compared with controls throughout the dentate nucleus. Spinocerebellar ataxia of type 3 patients showed no significant changes in susceptibility and susceptibility mass. Lower volume of the dentate nuclei was found to varying degrees in all ataxia types. It was most pronounced in spinocerebellar ataxia of type 6 patients and least prominent in spinocerebellar ataxia of type 3 patients. The findings show that alterations in susceptibility revealed by quantitative susceptibility mapping are common in the dentate nuclei in different types of cerebellar ataxias. The most striking changes in susceptibility were found in spinocerebellar ataxia of type 1, multiple system atrophy, cerebellar type and spinocerebellar ataxia of type 6. Because iron content is known to be high in glial cells but not in neurons of the cerebellar nuclei, the higher susceptibility in spinocerebellar ataxia of type 1 and multiple system atrophy, cerebellar type may be explained by a reduction of neurons (increase in iron concentration) and/or an increase in iron-rich glial cells, e.g. microgliosis. Hypomyelination also leads to higher susceptibility and could also contribute. The lower susceptibility in SCA6 suggests a loss of iron-rich glial cells. Quantitative susceptibility maps warrant future studies of iron content and iron-rich cells in ataxias to gain a more comprehensive understanding of the pathogenesis of these diseases. |
| 536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |c POF4-525 |f POF IV |x 0 |
| 700 | 1 | _ | |a Jäschke, D. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Draganova, R. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Pfaffenrot, V. |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Hulst, T. |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Steiner, K. M. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Thieme, A. |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Giordano, I. A. |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Klockgether, T. |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Tunc, S. |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Münchau, A. |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Minnerop, Martina |0 P:(DE-Juel1)131622 |b 11 |
| 700 | 1 | _ | |a Göricke, S. L. |0 P:(DE-HGF)0 |b 12 |
| 700 | 1 | _ | |a Reichenbach, J. R. |0 P:(DE-HGF)0 |b 13 |
| 700 | 1 | _ | |a Timmann, D. |0 P:(DE-HGF)0 |b 14 |
| 773 | _ | _ | |a 10.1093/braincomms/fcab306 |0 PERI:(DE-600)3020013-1 |n 1 |p fcab306 |t Brain communications |v 4 |y 2022 |x 2632-1297 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/902565/files/fcab306.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:902565 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 11 |6 P:(DE-Juel1)131622 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5251 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2020-09-12 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2020-09-12 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-24 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2022-02-21T13:34:18Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2022-02-21T13:34:18Z |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |d 2022-02-21T13:34:18Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-24 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0112 |2 StatID |b Emerging Sources Citation Index |d 2022-11-24 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-24 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|