Evidence map›Paper›PMID 36193115›Full record

ArticleMethodsX2022

A detailed manual segmentation procedure for the hypothalamus for 3T T1-weighted MRI.

Mohammad Ali, Jee Su Suh, Milita Ramonas, Stefanie Hassel, Stephen R Arnott, Stephen C Strother, Luciano Minuzzi, Roberto B Sassi, Raymond W Lam, Roumen Milev and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2022. 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
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.

  1. Article
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

15 authors.

Mohammad AliNeuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Jee Su SuhMood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Milita RamonasJuravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, ON, Canada.
Stefanie HasselDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Stephen R ArnottRotman Research Institute, Baycrest, Toronto, ON, Canada.
Stephen C StrotherRotman Research Institute, Baycrest, Toronto, ON, Canada.
Luciano MinuzziMood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Roberto B SassiDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Raymond W LamDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Roumen MilevDepartments of Psychiatry and Psychology, Queen's University, and Providence Care Hospital, Kingston, ON, Canada.
Daniel J MüllerDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Valerie H TaylorDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sidney H KennedyCentre for Depression and Suicide Studies, St. Michael's Hospital, Toronto ON, Canada.
Benicio N FreyMood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
CAN-BIND Investigator Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hypothalamus is a small grey matter structure which plays a crucial role in many physiological functions. Some studies have found an association between hypothalamic volume and psychopathology, which stresses the need for a standardized method to maximize segmentation accuracy. Here, we provide a detailed step-by-step method outlining the procedures to manually segment the hypothalamus using anatomical T1w images from 3T scanners, which many neuroimaging studies collect as a standard anatomical reference image. We compared volumes generated by manual segmentation and those generated by an automatic algorithm, observing a significant difference between automatically and manually segmented hypothalamus volumes on both sides (left: U = 222842, p-value < 2.2e-16; right: U = 218520, p- value < 2.2e-16).•Significant difference exists between existing automatic segmentation methods and the manual segmentation procedure.•We discuss potential drift effects, segmentation quality issues, and suggestions on how to mitigate them.•We demonstrate that the present manual segmentation procedure using standard T1-weighted MRI may be significantly more accurate than automatic segmentation outputs.

Indexed as

AlgorithmHypothalamus segmentationMRI

Identifiers

PMID36193115
PMCPMC9526169

What OpenQuestion holds

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Read underepoch 390

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.