Evidence map›Paper›PMID 37030007›Full record

ArticleSchizophrenia bulletin2023

Quantitative Susceptibility Mapping MRI in Deep-Brain Nuclei in First-Episode Psychosis.

Marisleydis García Saborit, Alejandro Jara, Néstor Muñoz, Carlos Milovic, Angeles Tepper, Luz María Alliende, Carlos Mena, Bárbara Iruretagoyena, Juan Pablo Ramirez-Mahaluf, Camila Diaz and 6 more

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Marisleydis García SaboritDepartment of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Alejandro JaraDepartment of Statistics, Mathematics Faculty, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Néstor MuñozDepartment of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Carlos MilovicSchool of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile.
Angeles TepperMillennium Institute for Intelligent Healthcare Engineering, Santiago, Chile.ORCID 0000-0001-9506-1305
Luz María AlliendeDepartment of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Carlos MenaDepartment of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Bárbara IruretagoyenaDepartment of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Juan Pablo Ramirez-MahalufDepartment of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Camila DiazPharmacovigilance, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago, Chile.
Ruben NacharPharmacovigilance, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago, Chile.
Carmen Paz CastañedaPharmacovigilance, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago, Chile.
Alfonso GonzálezEarly Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile.
Juan UndurragaEarly Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile.ORCID 0000-0001-6958-2369
Nicolas CrossleyBiomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile.ORCID 0000-0002-3060-656X
Cristian TejosDepartment of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Pontificia Universidad Católica de Chile · CLFinis Terrae University · CLPontificia Universidad Católica de Valparaíso · CLUniversidad del Desarrollo · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosis is related to neurochemical changes in deep-brain nuclei, particularly suggesting dopamine dysfunctions. We used an magnetic resonance imaging-based technique called quantitative susceptibility mapping (QSM) to study these regions in psychosis. QSM quantifies magnetic susceptibility in the brain, which is associated with iron concentrations. Since iron is a cofactor in dopamine pathways and co-localizes with inhibitory neurons, differences in QSM could reflect changes in these processes.

methodsWe scanned 83 patients with first-episode psychosis and 64 healthy subjects. We reassessed 22 patients and 21 control subjects after 3 months. Mean susceptibility was measured in 6 deep-brain nuclei. Using linear mixed models, we analyzed the effect of case-control differences, region, age, gender, volume, framewise displacement (FD), treatment duration, dose, laterality, session, and psychotic symptoms on QSM.

resultsPatients showed a significant susceptibility reduction in the putamen and globus pallidus externa (GPe). Patients also showed a significant R2* reduction in GPe. Age, gender, FD, session, group, and region are significant predictor variables for QSM. Dose, treatment duration, and volume were not predictor variables of QSM.

conclusionsReduction in QSM and R2* suggests a decreased iron concentration in the GPe of patients. Susceptibility reduction in putamen cannot be associated with iron changes. Since changes observed in putamen and GPe were not associated with symptoms, dose, and treatment duration, we hypothesize that susceptibility may be a trait marker rather than a state marker, but this must be verified with long-term studies.

Indexed as

DopaminePsychotic DisordersBrainBrain MappingHumansIronMagnetic Resonance ImagingDopamineIrondopaminemagnetic susceptibilityneuromelaninQSMR2* rates

Identifiers

PMID37030007
PMCPMC10483330
OpenAlexW4362716445

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.