Evidence map›Paper›PMID 40754177›Full record

ArticleBiological psychiatry2026

Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis.

Ramona Cirstian, Natalie J Forde, Hui Zhang, Gerhard S Hellemann, Christian F Beckmann, Nina V Kraguljac, Andre F Marquand

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Article in Biological psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ramona CirstianDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands. Electronic address: ramona.cirstian@donders.ru.nl.
Natalie J FordeDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands.
Hui ZhangDepartment of Computer Science, University College London, London, United Kingdom.
Gerhard S HellemannDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.
Christian F BeckmannDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, Oxford, United Kingdom.
Nina V KraguljacDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama.
Andre F MarquandDonders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study presents large-scale normative models of white matter (WM) organization across the lifespan, using diffusion magnetic resonance imaging data from over 25,000 healthy individuals ages 0 to 100 years from multiple cohorts including the Human Connectome Project (HCP) Lifespan and UK Biobank. These models capture lifespan trajectories and interindividual variation in fractional anisotropy (FA), a marker of WM integrity.

methodsBy addressing non-Gaussian data distributions, self-reported race, and site effects, the models offer reference baselines across diverse ages and scanning conditions. We applied these FA models to the HCP Early Psychosis cohort and performed a multivariate analysis to map symptoms onto deviations from multimodal normative models using multiview sparse canonical correlation analysis.

resultsOur results reveal extensive WM heterogeneity in psychosis, which is not captured by group-level analyses, with key regions identified, including the right uncinate fasciculus and thalami.

conclusionsThese normative models offer valuable tools for individualized WM deviation identification, improving precision in psychiatric assessments. All models are publicly available for community use.

Indexed as

BrainPsychotic DisordersWhite MatterAdolescentAdultAgedAged, 80 and overAnisotropyChildChild, PreschoolConnectomeDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansInfantDiffusion MRILifespan trajectoriesNormative modelsPrecision medicinePsychosisWhite matter integrity

Identifiers

PMID40754177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.