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Magnetoencephalographic analysis of cortical activity in adults with and without Down syndrome

2007· article· en· W2037453181 on OpenAlexaff
Naznin Virji‐Babul, Teresa Cheung, Daniel J. Weeks, Anthony T. Herdman, Douglas Cheyne

Bibliographic record

VenueJournal of Intellectual Disability Research · 2007
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoDown Syndrome Research FoundationSimon Fraser University
Fundersnot available
KeywordsMagnetoencephalographyPsychologyNeuroscienceDown syndromeDevelopmental psychologyMedicineAudiologyPsychiatryElectroencephalography

Abstract

fetched live from OpenAlex

BACKGROUND: This preliminary study served as a pilot for an ongoing analysis of spectral power in adults with Down syndrome (DS) using a 151 channel whole head magnetoencephalography (MEG). The present study is the first step for examining and comparing cortical responses during spontaneous and task related activity in DS. METHOD: Cortical responses were recorded with a 151 channel whole head MEG system in three adults with DS and three age-matched adults without DS. MEG data were obtained at rest with eyes open and during observation of point-light displays of human motion and object motion. Data from both groups were evaluated by spectral analysis. RESULTS: The preliminary results showed greater alpha (8-14 Hz) power particularly in the occipital and parietal areas during the eyes open condition in the adults with DS in relation to a normal comparison group. The visual task had little effect on alpha power in the comparison group. Engaging in the visual task reduced power in alpha across all regions in the DS group to the level observed in comparisons. In the gamma band (30-50 Hz), power values were similar across both groups for the eyes open condition. In the comparison group, large reductions in gamma were observed in the occipital and bilateral temporal areas during the visual task. This change was not observed in the DS group. CONCLUSIONS: The results from this pilot study suggest that MEG may be useful in characterizing task-specific changes in cortical activity in individuals with DS. Future studies with a larger group of individuals will further contribute to our understanding of the neurophysiology of Down syndrome.

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)0.011
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.007
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.391
Teacher spread0.335 · 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.

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".

Quick stats

Citations11
Published2007
Admission routes1
Has abstractyes

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