Evidence map›Paper›PMID 37643801›Full record

ArticleJournal of psychiatry & neuroscience : JPN

Classifying youth with bipolar disorder versus healthy youth using cerebral blood flow patterns.

Nicholas J Luciw, Anahit Grigorian, Mikaela K Dimick, Guocheng Jiang, J Jean Chen, Simon J Graham, Benjamin I Goldstein, Bradley J MacIntosh

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

8 authors at 4 institutions in 2 countries.

Nicholas J LuciwFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Anahit GrigorianFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Mikaela K DimickFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Guocheng JiangFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
J Jean ChenFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Simon J GrahamFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Benjamin I GoldsteinFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh).
Bradley J MacIntoshFrom Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ont. (Luciw, Jiang, Graham, MacIntosh); the Department of Medical Biophysics, University of Toronto, Toronto, Ont. (Luciw, Jiang, Chen, Graham, MacIntosh); the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ont. (Grigorian, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ont. (Dimick, Goldstein); the Rotman Research Institute, Baycrest Health Sciences, Toronto, Ont. (Chen); the Institute of Biomedical Engineering, University of Toronto, Toronto, Ont. (Chen); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Goldstein); the Sandra Black Centre for Brain Resilience & Recovery, Toronto, Ont. (MacIntosh); the Computational Radiology & Artificial Intelligence Unit, Oslo University Hospital, Norway (MacIntosh) brad.macintosh@utoronto.ca.
Oslo University Hospital · NOCentre for Addiction and Mental Health · CASunnybrook Research InstituteBaycrest Hospital · CA

Funding

CIHR 136947
6 · The paper itself

Abstract

backgroundClinical neuroimaging studies often investigate group differences between patients and controls, yet multivariate imaging features may enable individual-level classification. This study aims to classify youth with bipolar disorder (BD) versus healthy youth using grey matter cerebral blood flow (CBF) data analyzed with logistic regressions.

methodsUsing a 3 Tesla magnetic resonance imaging (MRI) system, we collected pseudo-continuous, arterial spin-labelling, resting-state functional MRI (rfMRI) and

resultsThe study included 46 patients with BD (mean age 17 yr, standard deviation [SD] 1 yr; 25 females) and 49 healthy controls (mean age 16 yr, SD 2 yr; 24 females). Global mean CBF and multivariate quantitative CBF offered similar classification performance that was above chance. The association between CBF images and the feature map was not significantly different between groups ( LIMITATIONS: We cannot comment on which CBF principal component is most relevant to the classification. Participants may have had various mood states, comorbidities, demographics and medication records.

conclusionBrain CBF features can classify youth with BD versus healthy controls with above-chance accuracy using logistic regression. A global CBF feature may offer similar classification performance to distinct multivariate CBF features.

Indexed as

Bipolar DisorderAdolescentBrainCerebral CortexCerebrovascular CirculationFemaleGray MatterHumans

Identifiers

PMID37643801
PMCPMC10473037
OpenAlexW4386251235

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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.