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Increased electro-convulsive therapy stimulus intensity and cognitive functioning in manic patients

2021· article· en· W3167805382 on OpenAlexaboutno aff
Anvita Gopal, Dinesh Rathor, S. Mohanty

Bibliographic record

VenueInternational Journal of Research in Medical Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMedicineStimulus (psychology)AudiologyMontreal Cognitive AssessmentPsychopathologyPsychiatryClinical psychologyCognitive impairmentPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

Background: Temporary changes in cognitive functions after electro-convulsive therapy (ECT) have been documented. The researchers are exploring if increasing the stimulus intensity of ECT produce better recovery from psychopathology also trying to map effects of increased stimulus intensity on side effects profile including cognitive functions. In the present study, we are reporting effects of increased stimulus intensity of ECT on cognitive functions in manic patients.Methods: The present study is a prospective analytical case control study conducted in the department of psychiatry, Institute of Mental Health and Hospital, Agra, after getting clearance from hospital ethical committee. The study included 60 patients with the diagnosis of manic psychopathologyfrom May 2018 to September 2019. Sample was divided into two groups: 1.5 times of threshold and 2.0 times of threshold. The ECT was delivered as per specified protocol of the study. The scores on Montreal cognitive assessment (MoCA) were compared both within and between groups at baseline and follow up.Results: The results suggested that both level of stimulus intensity produced mild level of disruptions in cognitive functioning at follow ups and the higher stimulus intensity i.e. 2.0 times of threshold resulted in more impairment in cognitive functions.Conclusions: The impact of ECT by increasing its current intensity for two times, on cognitive functions as seen clinically, suggested no serious adverse effects on any of the patients included in the sample.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.078
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.063
GPT teacher head0.425
Teacher spread0.362 · 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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Citations0
Published2021
Admission routes1
Has abstractyes

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