Dysfunction in early auditory processing in major depressive disorder revealed by combined MEG and EEG
Bibliographic record
Abstract
BACKGROUND: Patients with major depressive disorder (MDD) show impairments in cognitive functions. However, neural mechanisms underlying these disturbances are poorly understood. We investigated whether MDD affects neural mechanisms of involuntary attention studied by auditory evoked potentials (AEPs) and auditory evoked magnetic fields (AEFs). METHODS: AEPs and AEFs were studied in a passive odd-ball paradigm in 13 drug-free patients with unipolar MDD during an acute episode and 12 age-and sex-matched healthy subjects. Auditory responses to monaurally presented frequent "standard" tones, infrequent "deviant" tones (10% and 20% frequency change) and occasional "novel" sounds (complex sounds) were simultaneously recorded with whole-head magnetoencephalography (MEG) and electroencephalography (EEG). RESULTS: P1 and P1m latencies were decreased in patients with MDD, compared with those in healthy subjects. Further, the mismatch negativity amplitude to the 10% frequency deviance in the EEG, but not in the MEG, was increased in MDD. We observed no differences in N1/N1m and P3a responses in the MEG and EEG. The magnitude of decrease in P1/P1m latency correlated negatively with the severity of depression in the patients. CONCLUSIONS: Early auditory processing is impaired in patients with MDD during an acute episode, probably reflecting dysfunctional frontotemporal neural circuits. These dysfunctions may contribute to the cognitive disturbances observed in people with MDD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".