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Cognitive and emotional impairment in patients with migraine and signs of leukoencephalopathy during preventive therapy

2020· article· en· W3112264740 on OpenAlexaboutno aff
K. A. Pozhidaev, В. А. Парфенов

Bibliographic record

VenueNeurology neuropsychiatry Psychosomatics · 2020
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStroop effectLeukoencephalopathyMedicineMigraineTrail Making TestMemory spanBeck Depression InventoryBoston Naming TestNeuropsychologyToronto Alexithymia ScaleMontreal Cognitive AssessmentPsychologyAnxietyPsychiatryPediatricsCognitionInternal medicineCognitive impairmentWorking memoryDisease

Abstract

fetched live from OpenAlex

Patients with migraine and signs of leukoencephalopathy are frequently found to have cognitive impairment (CI), the pathogenesis of which is not entirely clear. The dynamics of CI in these patients during preventive therapy has been little studied. Patients and methods . A six-month follow-up study was conducted in 50 patients (8 men and 42 women; mean age, 41.9±11.9 years) with migraine (mainly chronic one) and signs of cerebral leukoencephalopathy according to magnetic resonance imaging (MRI). A control group consisted of 40 healthy individuals (13 males and 27 females) aged 20 to 64 years (mean age, 42.6±12.0 years). Neuropsychological examinations (the 12-word recall test; the test of literal and categorical associations; the Benton visual retention test, the Munsterberg test; the Montreal Cognitive Assessment (MoCA), the trail making test; the forward and backward digit recall test; the digit-symbol coding test; and the Stroop color test) and studies of emotional disorders (the Beck Depression Inventory (BDI), the Center for Epidemiological Studies Depression Scale (CES-D); the Hospital Anxiety and Depression Scale (HADS), and the Spielberger-Khanin Scale) were performed at baseline, and at 3 and 6 months of preventive therapy for migraine. Results and discussion . The patients with migraine versus the control group were observed to have lower scores of the MoCA (p=0.004), the 12- word recall test (p=0.0003), and the tests of literal (p=0.001) and categorical (p=0.0002) associations. No significant relationship was found between the volume of MRI cerebral white matter lesions and the severity of CI. There was a moderate inverse correlation (correlation coefficient R=-0.41) between the number of headache (HA) days per month and the MoCA score (p<0.05). The patients with migraine were found to have the signs of depression on the Hospital Depression Scale (p=0.04), the BDI (p=0.003), and the CES-D Scale (p=0.0001) and increased anxiety on the HADS (p=0. 0001) and the Spielberger–Khanin Scale (p=0.0001). There was a significant association between the degree of depression and the MoCA score (p=0.007). During 6-month preventive therapy, there was a decline in the incidence of HA from 19.4±2.9 to 12.6±4.4 days per month (p<0.05), a significant reduction in the severity of emotional disorders, and an improvement in cognitive functions by most neuropsychological tests (the MoCA, the 12-word recall test, the Munsterberg test, and the trail making test Part B) compared to the baseline data. Conclusion . During preventive treatment for migraine, there was a reduction in the frequency of HA attacks and in the severity of emotional and cognitive impairment. The preventive treatment of migraine and related emotional disorders seems to be the most effective way to improve cognitive functions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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 teacher head, 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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Citations1
Published2020
Admission routes1
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