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Record W4416355807 · doi:10.1093/brain/awaf319

Is multiple sclerosis-related depression different from depression in general? The data for and against

2025· article· en· W4416355807 on OpenAlexaff
Anthony Feinstein, Amit Bar-Or, Ralph H. B. Benedict, Massimo Filippi, David Freedman, Anne Kever, Cecilia Meza, Maria A. Rocca

Bibliographic record

VenueBrain · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsDepression (economics)Multiple sclerosisCognitionNeuroimagingPopulationConstruct (python library)Randomized controlled trial

Abstract

fetched live from OpenAlex

Depression in people with multiple sclerosis (MS) is two to three times more frequent than in demographically matched people without MS. The MS-depression literature is large and has expanded exponentially over the past few years. This increase in new knowledge is the impetus for assessing whether there is now sufficient evidence to differentiate depression linked to multiple sclerosis from depression alone. Establishing the validity of MS-depression as a distinct diagnosis is important because it would enhance our understanding of the pathogenesis of depression in general, shed light on a clinical course that might diverge from what is expected from depression without MS, and suggest management strategies that may differ from those followed for people with depression alone. A review of the MS-depression literature from January 2018 to December 2024 (generating 114 papers for inclusion in the manuscript) reveals no unique, distinct MS-depression phenomenology. The factors encompassing predictive validity, namely the course of depression, employment, suicide, cognitive impairment and quality of life, are similar in kind but not severity between depressed people with and without MS. The paucity of randomized controlled trial psychotropic data in MS-related depression means it is unclear whether medication plus psychotherapy is the best treatment option for people with MS who are depressed, as it is in general population samples. In terms of construct validity, the posited immune signature of MS depression, namely an increased frequency of circulating CD4+CCR7low central memory T cells with a Th1 predilection, does not appear to be distinct from depression in the general population. There is considerable neuroimaging commonality, particularly in limbic regional involvement. The potential importance of the dopamine-rich ventral tegmental area in a putative MS depression neural circuit suggests a degree of specificity, but the absence of direct comparison between depressed people with and without MS hinders a more definite conclusion. As for personality factors and socio-economic status in depressed people with MS, the findings essentially overlap with the depression literature in the general population. There are, however, a couple of standout constructs suggesting the possibility of two distinct disorders: the equivocal data pertaining to a specific MS genetic diathesis to depression and the absence of a clear sex difference in depressed people with MS. Until these conundrums are explained, one cannot conclude with certainty that depression in people with and without MS is the same disorder. Further research comparing depressed people with and without MS is needed to understand why this difference may exist.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.351
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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