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Normative models for neuroimaging markers: impact of model selection, sample size and evaluation criteria

Abstract:

Modelling population reference curves or normative modelling is increasingly used with the advent of large neuroimaging studies. In this paper we assess the performance of fitting methods from the perspective of clinical applications and investigate the influence of the sample size. Further, we evaluate linear and non-linear models for percentile curve estimation and highlight how the bias-variance trade-off manifests in typical neuroimaging data.

We created plausible ground truth d...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2023.119864

Authors


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Role:
Author
ORCID:
0000-0002-5986-5442
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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-0540-9353
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Role:
Author
ORCID:
0000-0002-5952-0516
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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0001-6043-0166
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Name:
Wellcome Trust
Grant:
203139/Z/16/Z
215573/Z/19/Z
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Name:
Alzheimer's Association
Grant:
AARF-21-846366
Publisher:
Elsevier
Journal:
NeuroImage More from this journal
Volume:
268
Article number:
119864
Publication date:
2023-01-05
Acceptance date:
2023-01-03
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Language:
English
Keywords:
Pubs id:
1318456
Local pid:
pubs:1318456
Deposit date:
2023-01-16

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