Group-average neural patterns in 160 of 300 cortical parcels contained decodable information about the three mechanical categories of the stimuli¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Support vector machine classification with leave-one-item-per-category-out cross-validation identified 160 parcels whose group-average accuracy exceeded a permuted null and a 41% criterion. → Cetron 2026

Evidence¶

Cetron 2026¶

Cetron, J.S., Hillis, M.E., Diamond, S.G., May, V.V. & Kraemer, D.J.M. (2026). Neural patterns reflect conceptual grasp of novice students following first class learning in physics. npj Science of Learning. https://doi.org/10.1038/s41539-025-00394-3

q2 · i? · associational · r2

Region-selection analysis: in each of 300 Schaefer atlas parcels, 1,000 iterations of SVM classification with iterative half-sample leave-one-item-per-category-out cross-validation were run on group-average dissimilarity matrices from 50 participants; the printed criteria were significance above the permuted null and accuracy above 41%. This result is a numerical classifier result, not a derivation.

"In total, 160 parcels met these criteria, shown in green in Figure 3. Subsequent analyses of individual performance were performed only on these parcels."

Discussion¶

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