dc.contributor.author
Kübler, Dorothee
dc.contributor.author
Wellmann, Sophie Katharina
dc.contributor.author
Kaminski, Jakob
dc.contributor.author
Skowronek, Cornelia
dc.contributor.author
Schneider, Gerd-Helge
dc.contributor.author
Neumann, Wolf-Julian
dc.contributor.author
Ritter, Kerstin
dc.contributor.author
Kühn, Andrea
dc.date.accessioned
2022-12-08T11:02:36Z
dc.date.available
2022-12-08T11:02:36Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/36896
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-36609
dc.description.abstract
INTRODUCTION
Subthalamic DBS in Parkinson's disease has been associated with cognitive decline in few cases. Volume reduction of the nucleus basalis of Meynert (NBM) seems to precede cognitive impairment in Parkinson's disease. In this retrospective study, we evaluated NBM volume as a predictor of cognitive outcome 1 year after subthalamic DBS.
METHODS
NBM volumes were calculated from preoperative MRIs using voxel-based morphometry. Cognitive outcome was defined as the relative change of MMSE or DemTect scores from pre-to 1 year postoperatively. A multiple linear regression analysis adjusted for the number of cognitive domains affected in the preoperative neuropsychological testing and UPDRS III was conducted. To account for other variables and potential non-linear effects, an additional machine learning analysis using random forests was applied.
RESULTS
55 patients with Parkinson's disease (39 male, age 61.4 ± 7.5 years, disease duration 10.8 ± 4.7 years) who received bilateral subthalamic DBS electrodes at our center were included. Although overall cognition did not change significantly, individual change in cognitive abilities was variable. Cognitive outcome could be predicted based on NBM size (B = 208.98, p = 0.022*) in the regression model (F(3,49) = 2.869; R2 of 0.149; p = 0.046*). Using random forests with more variables, cognitive outcome could also be predicted (average root mean squared error between predicted and true cognitive change 11.28 ± 9.51, p = 0.039*). Also in this model, NBM volume was the most predictive variable.
CONCLUSION
NBM volume can be used as a simple non-invasive predictor for cognitive outcome after DBS in Parkinson's disease, especially when combined with other clinical parameters that are prognostically relevant.
en
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Basal forebrain
en
dc.subject
Deep brain stimulation
en
dc.subject
Nucleus basalis of meynert
en
dc.subject
Parkinson's disease
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Nucleus basalis of Meynert predicts cognition after deep brain stimulation in Parkinson's disease
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1016/j.parkreldis.2021.12.002
dcterms.bibliographicCitation.journaltitle
Parkinsonism & Related Disorders
dcterms.bibliographicCitation.originalpublishername
Elsevier
dcterms.bibliographicCitation.pagestart
89
dcterms.bibliographicCitation.pageend
95
dcterms.bibliographicCitation.volume
94
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.note.author
Original article first published: 2021-12-08.
en
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
34896929
dcterms.isPartOf.issn
1353-8020
dcterms.isPartOf.eissn
1873-5126