Evidence map›Paper›PMID 38839931›Full record

ArticleCommunications biology2024

Normative modelling of molecular-based functional circuits captures clinical heterogeneity transdiagnostically in psychiatric patients.

Timothy Lawn, Alessio Giacomel, Daniel Martins, Mattia Veronese, Matthew Howard, Federico E Turkheimer, Ottavia Dipasquale

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Timothy LawnDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. timothy.lawn@kcl.ac.uk.ORCID 0000-0002-1643-5987
Alessio GiacomelDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-7784-2041
Daniel MartinsDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-0239-8206
Mattia VeroneseDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0003-3562-0683
Matthew HowardDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-9359-3057
Federico E TurkheimerDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-3766-3815
Ottavia DipasqualeDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. ottavia.dipasquale@olea-medical.com.ORCID 0000-0002-2867-8222

Funding

Medical Research Council MR/N026969/1Wellcome Trust
6 · The paper itself

Abstract

Advanced methods such as REACT have allowed the integration of fMRI with the brain's receptor landscape, providing novel insights transcending the multiscale organisation of the brain. Similarly, normative modelling has allowed translational neuroscience to move beyond group-average differences and characterise deviations from health at an individual level. Here, we bring these methods together for the first time. We used REACT to create functional networks enriched with the main modulatory, inhibitory, and excitatory neurotransmitter systems and generated normative models of these networks to capture functional connectivity deviations in patients with schizophrenia, bipolar disorder (BPD), and ADHD. Substantial overlap was seen in symptomatology and deviations from normality across groups, but these could be mapped into a common space linking constellations of symptoms through to underlying neurobiology transdiagnostically. This work provides impetus for developing novel biomarkers that characterise molecular- and systems-level dysfunction at the individual level, facilitating the transition towards mechanistically targeted treatments.

Indexed as

Magnetic Resonance ImagingSchizophreniaAdultAttention Deficit Disorder with HyperactivityBipolar DisorderBrainFemaleHumansMaleMental DisordersMiddle AgedModels, NeurologicalNerve NetYoung Adult

Identifiers

PMID38839931
PMCPMC11153627

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Registered trials

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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.