Evidence map›Paper›PMID 38293679›Full record

ArticleIBRO neuroscience reports2024

Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study.

Sondos Ayyash, Andrew D Davis, Gésine L Alders, Glenda MacQueen, Stephen C Strother, Stefanie Hassel, Mojdeh Zamyadi, Stephen R Arnott, Jacqueline K Harris, Raymond W Lam and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IBRO neuroscience reports, 2024. 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. Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    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

18 authors.

Sondos AyyashSchool of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
Andrew D DavisDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Gésine L AldersNeuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada.
Glenda MacQueenHotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Stephen C StrotherRotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Stefanie HasselHotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mojdeh ZamyadiRotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Stephen R ArnottRotman Research Institute, Baycrest, Toronto, Ontario, Canada.
Jacqueline K HarrisDepartment of Computer Science, University of Alberta, Edmonton, Alberta, Canada.
Raymond W LamDepartment of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Roumen MilevDepartments of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, Ontario, Canada.
Daniel J MüllerCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Sidney H KennedyInstitute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Susan RotzingerDepartment of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Luciano MinuzziDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Geoffrey B HallSchool of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
CAN-BIND Investigator Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural network-level changes underlying symptom remission in major depressive disorder (MDD) are often studied from a single perspective. Multimodal approaches to assess neuropsychiatric disorders are evolving, as they offer richer information about brain networks. A

Indexed as

Data fusionFunctional connectivityMajor depressive disorderNeuroimagingResting brain networksStructural connectivityToolbox

Identifiers

PMID38293679
PMCPMC10826332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.