Département Neuroscience et Sciences Cognitives, Institut de Recherche Biomédicale des Armées, Brétigny sur Orge, France.
ISAE-SUPAERO, Université de Toulouse, Toulouse, France.
PLoS One. 2022 Dec 1;17(12):e0277801. doi: 10.1371/journal.pone.0277801. eCollection 2022.
The human brain networks responsible for selectively listening to a voice amid other talkers remain to be clarified. The present study aimed to investigate relationships between cortical activity and performance in a speech-in-speech task, before (Experiment I) and after training-induced improvements (Experiment II). In Experiment I, 74 participants performed a speech-in-speech task while their cortical activity was measured using a functional near infrared spectroscopy (fNIRS) device. One target talker and one masker talker were simultaneously presented at three different target-to-masker ratios (TMRs): adverse, intermediate and favorable. Behavioral results show that performance may increase monotonically with TMR in some participants and failed to decrease, or even improved, in the adverse-TMR condition for others. On the neural level, an extensive brain network including the frontal (left prefrontal cortex, right dorsolateral prefrontal cortex and bilateral inferior frontal gyri) and temporal (bilateral auditory cortex) regions was more solicited by the intermediate condition than the two others. Additionally, bilateral frontal gyri and left auditory cortex activities were found to be positively correlated with behavioral performance in the adverse-TMR condition. In Experiment II, 27 participants, whose performance was the poorest in the adverse-TMR condition of Experiment I, were trained to improve performance in that condition. Results show significant performance improvements along with decreased activity in bilateral inferior frontal gyri, the right dorsolateral prefrontal cortex, the left inferior parietal cortex and the right auditory cortex in the adverse-TMR condition after training. Arguably, lower neural activity reflects higher efficiency in processing masker inhibition after speech-in-speech training. As speech-in-noise tasks also imply frontal and temporal regions, we suggest that regardless of the type of masking (speech or noise) the complexity of the task will prompt the implication of a similar brain network. Furthermore, the initial significant cognitive recruitment will be reduced following a training leading to an economy of cognitive resources.
负责选择性地在其他说话者中聆听声音的人类大脑网络仍需阐明。本研究旨在探讨语音干扰任务中皮质活动与表现之间的关系,包括在训练诱导的改善之前(实验 I)和之后(实验 II)。在实验 I 中,74 名参与者在执行语音干扰任务时,使用功能近红外光谱 (fNIRS) 设备测量他们的皮质活动。一个目标说话者和一个掩蔽说话者同时以三个不同的目标与掩蔽比 (TMR) 呈现:不利、中等和有利。行为结果表明,在某些参与者中,表现可能随 TMR 单调增加,而在其他参与者中,不利 TMR 条件下的表现未能降低,甚至有所提高。在神经水平上,一个广泛的大脑网络,包括额(左前额叶皮层、右背外侧前额叶皮层和双侧下额回)和颞(双侧听觉皮层)区域,在中等条件下比其他两个条件更受刺激。此外,在不利 TMR 条件下,双侧额叶回和左侧听觉皮层的活动与行为表现呈正相关。在实验 II 中,27 名参与者在实验 I 的不利 TMR 条件下表现最差,他们接受了训练以提高该条件下的表现。结果表明,在训练后,不利 TMR 条件下的双侧下额回、右背外侧前额叶皮层、左下顶叶皮层和右听觉皮层的活动减少,表现显著提高。可以说,较低的神经活动反映了语音干扰训练后掩蔽抑制处理效率的提高。由于语音干扰噪声任务也涉及额叶和颞叶区域,我们认为,无论掩蔽类型(语音或噪声)如何,任务的复杂性将促使类似的大脑网络参与进来。此外,在导致认知资源节约的训练之后,初始的显著认知招募将减少。