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首页> 外文期刊>Neuropsychologia >Functional connectivity in the dorsal stream and between bilateral auditory-related cortical areas differentially contribute to speech decoding depending on spectro-temporal signal integrity and performance
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Functional connectivity in the dorsal stream and between bilateral auditory-related cortical areas differentially contribute to speech decoding depending on spectro-temporal signal integrity and performance

机译：背部流中的功能连接以及双边听觉相关的皮质区域之间的功能差异地贡献了语音解码，这取决于光谱 - 时间信号完整性和性能

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摘要

Speech processing relies on the interdependence between auditory perception, sensorimotor integration, and verbal memory functions. Functional and structural connectivity between bilateral auditory-related cortical areas (ARCAs) facilitates spectro-temporal analyses, whereas the dynamic interplay between ARCAs and Broca's area (i.e., dorsal pathway) contributes to verbal memory functions, articulation, and sound-to-motor mapping. However, it remains unclear whether these two neural circuits are preferentially driven by spectral or temporal acoustic information, and whether their recruitment is predictive of speech perception performance and learning. Therefore, we evaluated EEG-based intracranial (eLORETA) functional connectivity (lagged coherence) in both pathways (i.e., between bilateral ARCAs and in the dorsal stream) while good- (GPs, N = 12) and poor performers (PPs, N = 13) learned to decode natural pseudowords (CLEAN) or comparable items (speech-noise chimeras) manipulated in the envelope (ENV) or in the fine-structure (FS). Learning to decode degraded speech was generally associated with increased functional connectivity in the theta, alpha, and beta frequency range in both circuits. Furthermore, GPs exhibited increased connectivity in the left dorsal stream compared to PPs, but only during the FS condition and in the theta frequency band. These results suggest that both pathways contribute to the decoding of spectro-temporal degraded speech by increasing the communication between brain regions involved in perceptual analyses and verbal memory functions. Otherwise, the left-hemispheric recruitment of the dorsal stream in GPs during the FS condition points to a contribution of this pathway to articulatory based memory processes that are dependent on the temporal integrity of the speech signal. These results enable to better comprehend the neural circuits underlying word-learning as a function of temporal and spectral signal integrity and performance.
机译：语音处理依赖于听觉感知，传感器集成和口头记忆功能之间的相互依存。双边听觉相关皮质区域（Arcas）之间的功能和结构连接有助于光谱 - 时间分析，而ArcAs和Broca区域（即背部途径）之间的动态相互作用有助于口头记忆功能，铰接和声音到电机映射。然而，它仍然不清楚这两个神经电路是否优先由光谱或时间声学信息驱动，以及他们的招聘是预测语音感知性能和学习。因此，我们在途径（即，双边Arcas和背部流之间）中评估了基于EEG的颅内（ELORETA）功能连接（滞后的相干性），同时良好 - （GPS，N = 12）和差的表演者（PPS，N = 13）学习以解码在信封（ENV）或细结构（FS）中操纵的自然伪波（清洁）或类似物品（语音噪音嵌合体）。学习解码降级的语音通常与两个电路中的θ，alpha和beta频率范围的功能连接增加相关。此外，与PPS相比，GPS在左背部流中表现出增加的连接，但仅在FS条件和θ频带中相比。这些结果表明，通过增加感知分析和口头记忆功能的大脑区域之间的通信，这两个途径都有助于解码光谱 - 时间降级的语音。否则，在FS条件期间GPS中的左半球招募在GPS中的左半球招募到该途径对镶嵌基于剖视的内存过程的贡献，这些内存过程取决于语音信号的时间完整性。这些结果能够更好地理解神经电路，作为时间和光谱信号完整性和性能的函数。

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