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  Disentangling brain functional network remodeling in corticobasal syndrome: A multimodal MRI study

Ballarini, T., Albrecht, F., Mueller, K., Jech, R., Diehl-Schmid, J., Fliessbach, K., et al. (2020). Disentangling brain functional network remodeling in corticobasal syndrome: A multimodal MRI study. NeuroImage: Clinical, 25: 102112. doi:10.1016/j.nicl.2019.102112.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0005-4E0C-8 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-7AC6-3
Genre: Zeitschriftenartikel

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 Urheber:
Ballarini, Tommaso1, Autor           
Albrecht, Franziska1, Autor           
Mueller, Karsten2, Autor           
Jech , Robert3, Autor
Diehl-Schmid, Janine4, Autor
Fliessbach, Klaus5, Autor
Kassubek, Jan6, Autor
Lauer, Martin7, Autor
Fassbender, Klaus8, Autor
Schneider, Anja5, Autor
Synofzik, Matthis9, 10, Autor
Wiltfang, Jens11, Autor
FTLD Consortium, Autor              
Otto, Markus6, Autor
Schroeter, Matthias L.1, 12, Autor           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
3Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
4Department of Psychiatry and Psychotherapy, TU Munich, Germany, ou_persistent22              
5Department of Neurodegenerative Disease and Geriatric Psychiatry, University Hospital Bonn, Germany, ou_persistent22              
6Department of Neurology, Ulm University, Germany, ou_persistent22              
7Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Germany, ou_persistent22              
8Clinic for Neurology, Saarland University, Germany, ou_persistent22              
9Hertie-Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Germany, ou_persistent22              
10German Center for Neurodegenerative Diseases, Tübingen, Germany, ou_persistent22              
11University Medical Center, Göttingen, Germany, ou_persistent22              
12Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              

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Schlagwörter: Corticobasal syndrome; Imaging biomarkers; Magnetic resonance imaging; Resting-state functional connectivity; Voxel-based morphometry; Support vector machine
 Zusammenfassung: Objective

The clinical diagnosis of corticobasal syndrome (CBS) represents a challenge for physicians and reliable diagnostic imaging biomarkers would support the diagnostic work-up. We aimed to investigate the neural signatures of CBS using multimodal T1-weighted and resting-state functional magnetic resonance imaging (MRI).
Methods

Nineteen patients with CBS (age 67.0 ± 6.0 years; mean±SD) and 19 matched controls (66.5 ± 6.0) were enrolled from the German Frontotemporal Lobar Degeneration Consortium. Changes in functional connectivity and structure were respectively assessed with eigenvector centrality mapping complemented by seed-based analysis and with voxel-based morphometry. In addition to mass-univariate statistics, multivariate support vector machine (SVM) classification tested the potential of multimodal MRI to differentiate patients and controls. External validity of SVM was assessed on independent CBS data from the 4RTNI database.
Results

A decrease in brain interconnectedness was observed in the right central operculum, middle temporal gyrus and posterior insula, while widespread connectivity increases were found in the anterior cingulum, medial superior-frontal gyrus and in the bilateral caudate nuclei. Severe and diffuse gray matter volume reduction, especially in the bilateral insula, putamen and thalamus, characterized CBS. SVM classification revealed that both connectivity (area under the curve 0.81) and structural abnormalities (0.80) distinguished CBS from controls, while their combination led to statistically non-significant improvement in discrimination power, questioning the additional value of functional connectivity over atrophy. SVM analyses based on structural MRI generalized moderately well to new data, which was decisively improved when guided by meta-analytically derived disease-specific regions-of-interest.
Conclusions

Our data-driven results show impairment of functional connectivity and brain structure in CBS and explore their potential as imaging biomarkers.

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Sprache(n): eng - English
 Datum: 2019-11-272019-08-092019-12-012019-12-022020
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.nicl.2019.102112
Anderer: Epub ahead of print
PMID: 31821953
 Art des Abschluß: -

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Projektinformation

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Projektname : -
Grant ID : O1GI1007A
Förderprogramm : German Consortium for Frontotemporal Lobar Degeneration
Förderorganisation : German Federal Ministry of Education and Research (BMBF)
Projektname : -
Grant ID : PDF-IRG-1307
Förderprogramm : -
Förderorganisation : Parkinson's Disease Foundation
Projektname : -
Grant ID : 11362
Förderprogramm : -
Förderorganisation : Michael Fox Foundation
Projektname : -
Grant ID : SCHR 774/5-1
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)
Projektname : -
Grant ID : 16-13323
Förderprogramm : -
Förderorganisation : Czech Science Foundation GAČR
Projektname : Czech Republic Progres Q27/LF1
Grant ID : -
Förderprogramm : -
Förderorganisation : Charles University
Projektname : -
Grant ID : R01 AG038791
Förderprogramm : National Institutes of Health Grant
Förderorganisation : 4-Repeat Tauopathy Neuroimaging Initiative
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Tau Research Consortium

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Titel: NeuroImage: Clinical
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Elsevier
Seiten: - Band / Heft: 25 Artikelnummer: 102112 Start- / Endseite: - Identifikator: ISSN: 2213-1582
CoNE: https://pure.mpg.de/cone/journals/resource/2213-1582