Engagement of the speech motor system in challenging speech perception: Activation likelihood estimation meta-analyses

This project aimed to explore the shared neural activation patterns between speech production and challenging speech perception across three distinct listening conditions: speech in noise (SIN), spectrally degraded speech, and linguistically complex speech. To achieve this, we conducted Activation Likelihood Estimation (ALE) meta-analyses using GingerALE. The original coordinates used in these analyses, along with the resulting activation maps and peak coordinates, are presented here.本研究旨在探索三种不同聆听条件下，言语产生与挑战性言语感知之间共有的神经激活模式，具体包括噪声下言语（speech in noise, SIN）、频谱降质言语以及语言复杂度较高的言语。为达成该研究目标，我们采用GingerALE软件开展了激活似然估计（Activation Likelihood Estimation, ALE）元分析。本文一并呈现了此次分析所使用的原始坐标、所得激活图及峰值坐标。