001     154809
005     20230915092317.0
024 7 _ |a 10.1136/jnnp-2020-324106
|2 doi
024 7 _ |a pmid:33722819
|2 pmid
024 7 _ |a 0022-3050
|2 ISSN
024 7 _ |a 0266-8637
|2 ISSN
024 7 _ |a 0368-329X
|2 ISSN
024 7 _ |a 1468-330X
|2 ISSN
024 7 _ |a altmetric:101700147
|2 altmetric
037 _ _ |a DZNE-2021-00387
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Manera, Ana L
|0 0000-0003-1639-6858
|b 0
245 _ _ |a MRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia.
260 _ _ |a London
|c 2021
|b BMJ Publishing Group
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 1625840306_15373
|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 Structural brain imaging is paramount for the diagnosis of behavioural variant of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis.A total of 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used to perform voxel-wise morphometric analysis to identify regions with significant differences between bvFTD and controls. A random forest classifier was used to individually predict bvFTD from deformation-based morphometry differences in isolation and together with semantic fluency. Tenfold cross validation was used to assess the performance of the classifier within the training cohort. A second held-out cohort of genetically confirmed bvFTD cases was used for additional validation.Average 10-fold cross-validation accuracy was 89% (82% sensitivity, 93% specificity) using only MRI and 94% (89% sensitivity, 98% specificity) with the addition of semantic fluency. In the separate validation cohort of definite bvFTD, accuracy was 88% (81% sensitivity, 92% specificity) with MRI and 91% (79% sensitivity, 96% specificity) with added semantic fluency scores.Our results show that structural MRI and semantic fluency can accurately predict bvFTD at the individual subject level within a completely independent validation cohort coming from a different and independent database.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
700 1 _ |a Dadar, Mahsa
|0 0000-0003-4008-2672
|b 1
700 1 _ |a Van Swieten, John Cornelis
|0 0000-0001-6278-6844
|b 2
700 1 _ |a Borroni, Barbara
|0 0000-0001-9340-9814
|b 3
700 1 _ |a Sanchez-Valle, Raquel
|b 4
700 1 _ |a Moreno, Fermin
|b 5
700 1 _ |a Laforce, Robert
|b 6
700 1 _ |a Graff, Caroline
|b 7
700 1 _ |a Synofzik, Matthis
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Galimberti, Daniela
|0 0000-0002-9284-5953
|b 9
700 1 _ |a Rowe, James Benedict
|0 0000-0001-7216-8679
|b 10
700 1 _ |a Masellis, Mario
|b 11
700 1 _ |a Tartaglia, Maria Carmela
|b 12
700 1 _ |a Finger, Elizabeth
|0 0000-0003-4461-7427
|b 13
700 1 _ |a Vandenberghe, Rik
|b 14
700 1 _ |a de Mendonca, Alexandre
|b 15
700 1 _ |a Tagliavini, Fabrizio
|b 16
700 1 _ |a Santana, Isabel
|b 17
700 1 _ |a Butler, Christopher R
|b 18
700 1 _ |a Gerhard, Alex
|b 19
700 1 _ |a Danek, Adrian
|0 P:(DE-2719)2810712
|b 20
|u dzne
700 1 _ |a Levin, Johannes
|0 P:(DE-2719)2811659
|b 21
|u dzne
700 1 _ |a Otto, Markus
|0 0000-0002-6647-5944
|b 22
700 1 _ |a Frisoni, Giovanni
|b 23
700 1 _ |a Ghidoni, Roberta
|b 24
700 1 _ |a Sorbi, Sandro
|b 25
700 1 _ |a Rohrer, Jonathan Daniel
|0 0000-0002-6155-8417
|b 26
700 1 _ |a Ducharme, Simon
|0 0000-0002-7309-1113
|b 27
700 1 _ |a Collins, D Louis
|b 28
700 1 _ |a investigators, FTLDNI
|b 29
|e Collaboration Author
700 1 _ |a Consortium, GENFI
|b 30
|e Collaboration Author
700 1 _ |a Rosen, Howard
|b 31
700 1 _ |a Dickerson, Bradford C
|b 32
700 1 _ |a Domoto-Reilly, Kimoko
|b 33
700 1 _ |a Knopman, David
|0 P:(DE-HGF)0
|b 34
700 1 _ |a Boeve, Bradley F
|b 35
700 1 _ |a Boxer, Adam L
|b 36
700 1 _ |a Kornak, John
|b 37
700 1 _ |a Miller, Bruce L
|b 38
700 1 _ |a Seeley, William W
|b 39
700 1 _ |a Gorno-Tempini, Maria-Luisa
|b 40
700 1 _ |a McGinnis, Scott
|b 41
700 1 _ |a Mandelli, Maria Luisa
|b 42
700 1 _ |a Afonso, Sónia
|b 43
700 1 _ |a Almeida, Maria Rosario
|b 44
700 1 _ |a Anderl-Straub, Sarah
|b 45
700 1 _ |a Andersson, Christin
|b 46
700 1 _ |a Antonell, Anna
|b 47
700 1 _ |a Archetti, Silvana
|b 48
700 1 _ |a Arighi, Andrea
|b 49
700 1 _ |a Balasa, Mircea
|b 50
700 1 _ |a Barandiaran, Myriam
|b 51
700 1 _ |a Bargalló, Nuria
|b 52
700 1 _ |a Bartha, Robart
|b 53
700 1 _ |a Bender, Benjamin
|b 54
700 1 _ |a Benussi, Alberto
|b 55
700 1 _ |a Benussi, Luisa
|b 56
700 1 _ |a Bessi, Valentina
|b 57
700 1 _ |a Binetti, Giuliano
|b 58
700 1 _ |a Black, Sandra
|b 59
700 1 _ |a Bocchetta, Martina
|b 60
700 1 _ |a Borrego-Ecija, Sergi
|b 61
700 1 _ |a Bras, Jose
|b 62
700 1 _ |a Bruffaerts, Rose
|b 63
700 1 _ |a Caroppo, Paola
|b 64
700 1 _ |a Cash, David
|b 65
700 1 _ |a Castelo-Branco, Miguel
|b 66
700 1 _ |a Convery, Rhian
|b 67
700 1 _ |a Cope, Thomas
|b 68
700 1 _ |a Cosseddu, Maura
|b 69
700 1 _ |a Arriba, María de
|b 70
700 1 _ |a Fede, Giuseppe Di
|b 71
700 1 _ |a Díaz, Zigor
|b 72
700 1 _ |a Duro, Diana
|b 73
700 1 _ |a Fenoglio, Chiara
|b 74
700 1 _ |a Ferrari, Camilla
|b 75
700 1 _ |a Ferreira, Carlos
|b 76
700 1 _ |a Ferreira, Catarina B
|b 77
700 1 _ |a Flanagan, Toby
|b 78
700 1 _ |a Fox, Nick
|b 79
700 1 _ |a Freedman, Morris
|b 80
700 1 _ |a Fumagalli, Giorgio
|b 81
700 1 _ |a Gabilondo, Alazne
|b 82
700 1 _ |a Gasparotti, Roberto
|b 83
700 1 _ |a Gauthier, Serge
|b 84
700 1 _ |a Gazzina, Stefano
|b 85
700 1 _ |a Giaccone, Giorgio
|b 86
700 1 _ |a Gorostidi, Ana
|b 87
700 1 _ |a Greaves, Caroline
|b 88
700 1 _ |a Guerreiro, Rita
|b 89
700 1 _ |a Heller, Carolin
|b 90
700 1 _ |a Hoegen, Tobias
|b 91
700 1 _ |a Indakoetxea, Begoña
|b 92
700 1 _ |a Jelic, Vesna
|b 93
700 1 _ |a Jiskoot, Lize
|b 94
700 1 _ |a Karnath, Hans-Otto
|0 P:(DE-HGF)0
|b 95
700 1 _ |a Keren, Ron
|b 96
700 1 _ |a Leitão, Maria João
|b 97
700 1 _ |a Lladó, Albert
|b 98
700 1 _ |a Lombardi, Gemma
|b 99
700 1 _ |a Loosli, Sandra
|b 100
700 1 _ |a Maruta, Carolina
|b 101
700 1 _ |a Mead, Simon
|b 102
700 1 _ |a Meeter, Lieke
|b 103
700 1 _ |a Miltenberger, Gabriel
|b 104
700 1 _ |a Minkelen, Rick van
|b 105
700 1 _ |a Mitchell, Sara
|b 106
700 1 _ |a Moore, Katrina M
|b 107
700 1 _ |a Nacmias, Benedetta
|b 108
700 1 _ |a Neason, Mollie
|b 109
700 1 _ |a Nicholas, Jennifer
|b 110
700 1 _ |a Öijerstedt, Linn
|b 111
700 1 _ |a Olives, Jaume
|b 112
700 1 _ |a Ourselin, Sebastien
|b 113
700 1 _ |a Padovani, Alessandro
|b 114
700 1 _ |a Panman, Jessica
|b 115
700 1 _ |a Papma, Janne
|b 116
700 1 _ |a Peakman, Georgia
|b 117
700 1 _ |a Piaceri, Irene
|b 118
700 1 _ |a Pievani, Michela
|b 119
700 1 _ |a Pijnenburg, Yolande
|b 120
700 1 _ |a Polito, Cristina
|b 121
700 1 _ |a Premi, Enrico
|b 122
700 1 _ |a Prioni, Sara
|b 123
700 1 _ |a Prix, Catharina
|b 124
700 1 _ |a Rademakers, Rosa
|b 125
700 1 _ |a Redaelli, Veronica
|b 126
700 1 _ |a Rittman, Tim
|b 127
700 1 _ |a Rogaeva, Ekaterina
|b 128
700 1 _ |a Rosa-Neto, Pedro
|b 129
700 1 _ |a Rossi, Giacomina
|b 130
700 1 _ |a Rossor, Martin
|b 131
700 1 _ |a Santiago, Beatriz
|b 132
700 1 _ |a Scarpini, Elio
|b 133
700 1 _ |a Schönecker, Sonja
|b 134
700 1 _ |a Semler, Elisa
|b 135
700 1 _ |a Shafei, Rachelle
|b 136
700 1 _ |a Shoesmith, Christen
|b 137
700 1 _ |a Tábuas-Pereira, Miguel
|b 138
700 1 _ |a Tainta, Mikel
|b 139
700 1 _ |a Taipa, Ricardo
|b 140
700 1 _ |a Tang-Wai, David
|b 141
700 1 _ |a Thomas, David L
|b 142
700 1 _ |a Thonberg, Hakan
|b 143
700 1 _ |a Timberlake, Carolyn
|b 144
700 1 _ |a Tiraboschi, Pietro
|b 145
700 1 _ |a Todd, Emily
|b 146
700 1 _ |a Vandamme, Philip
|b 147
700 1 _ |a Vandenbulcke, Mathieu
|b 148
700 1 _ |a Veldsman, Michele
|b 149
700 1 _ |a Verdelho, Ana
|b 150
700 1 _ |a Villanua, Jorge
|b 151
700 1 _ |a Warren, Jason
|b 152
700 1 _ |a Wilke, Carlo
|0 P:(DE-HGF)0
|b 153
700 1 _ |a Woollacott, Ione
|b 154
700 1 _ |a Wlasich, Elisabeth
|b 155
700 1 _ |a Zetterberg, Henrik
|b 156
700 1 _ |a Zulaica, Miren
|b 157
773 _ _ |a 10.1136/jnnp-2020-324106
|g Vol. 92, no. 6, p. 608 - 616
|0 PERI:(DE-600)1480429-3
|n 6
|p 608 - 616
|t Journal of neurology, neurosurgery, and psychiatry
|v 92
|y 2021
|x 1468-330X
909 C O |o oai:pub.dzne.de:154809
|p VDB
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 20
|6 P:(DE-2719)2810712
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 21
|6 P:(DE-2719)2811659
913 0 _ |a DE-HGF
|b Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-344
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-27
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-27
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
|d 2022-11-23
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-23
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J NEUROL NEUROSUR PS : 2021
|d 2022-11-23
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-23
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-23
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b J NEUROL NEUROSUR PS : 2021
|d 2022-11-23
920 _ _ |l yes
920 1 _ |0 I:(DE-2719)1111016
|k Clinical Dementia Research München
|l Clinical Dementia Research München
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-2719)1111016
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21