Elevated Activity in Left Homologous Music Circuits is Maladaptive for Music Perception but Mediated by Decoupled Structure and Function
Bibliographic record
Abstract
Abstract Music is inherent in human life and is a significant topic of cognitive neuroscience. Previous studies focused on amusia suggested that two frontotemporal circuits engage in music processing. Structure-function coupling is an important feature of human brain, which is associated with cognition and allows for a more sensitive investigation of brain-behavior association. However, we still have limited knowledge about the relation between structure-function coupling, music processing and other regional neural profiles. We recruited 106 participants (43 subjects were diagnosed with congenital amusia) and measured their music perception by Montreal Battery of Evaluation of Amusia (MBEA). Then we utilized support vector regression algorithm and mediation analysis, and employed amplitude of low frequency fluctuation (ALFF), structural/functional degree centrality (DC) and structure-function coupling to explore their relation with global averaged MBEA score. We found structure-function coupling of widespread brain regions in both hemispheres, rather than ALFF or DC, contributed to predict MBEA score. Left middle frontal gyrus, bilateral inferior temporal gyrus and right insula were most predictive regions, and these regions were involved in memory and cognitive control according to meta-analysis. Further, coupling of left middle frontal gyrus, a region that is homologous to and is connected with typical music circuits, fully mediated the negative relation between ALFF and MBEA score. Our findings provide further understanding for the neural basis of music, and have implications for neural plasticity, neuromodulation therapy and cognitive causes of amusia. Highlights Our study first applies structure-function coupling to investigate the neural correlates of music perception, and predicting modeling indicate structure-function coupling is more effective than regional activity and connectivity. Elevated activity of contralateral homologous of music circuits might be maladaptive rather than compensatory. Elevated spontaneous regional activity disrupts their connections, which might be a specific expression of neural plasticity for certain regions. Our findings have implications for cognitive causes (abnormal memory and/or cognitive control to music salients) of amusia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".