ISSN 1671-3710
CN 11-4766/R

心理科学进展 ›› 2023, Vol. 31 ›› Issue (4): 608-621.doi: 10.3724/SP.J.1042.2023.00608

• 研究前沿 • 上一篇    下一篇


王勇丽1(), 葛胜男2, Lancy Lantin Huang3, 万勤1, 卢海丹1   

  1. 1华东师范大学教育学部康复科学系, 上海 200062
    2华东师范大学生命科学学院, 上海 200241
    3爽琅国际贸易有限公司, 上海 200131
  • 收稿日期:2022-06-14 出版日期:2023-04-15 发布日期:2022-12-30
  • 通讯作者: 王勇丽
  • 基金资助:

Neural mechanism of speech imagery

WANG Yongli1(), GE Shengnan2, Lancy Lantin Huang3, WAN Qin1, LU Haidan1   

  1. 1Department of Rehabilitation Sciences, Faculty of Education, East China Normal University, Shanghai 200062, China
    2School of Life Sciences, East China Normal University, Shanghai 200241, China
    3Bright Speech International Trade Co., Ltd. Shanghai 200131, China
  • Received:2022-06-14 Online:2023-04-15 Published:2022-12-30
  • Contact: WANG Yongli


言语想象不仅在大脑预处理机制方面起到重要的作用, 还是目前脑机接口领域研究的热点。与正常言语产生过程相比, 言语想象的理论模型、激活脑区、神经传导路径等均与其有较多相似之处。而言语障碍群体的言语想象、想象有意义的词语和句子时的脑神经机制与正常言语产生存在差异。鉴于人类言语系统的复杂性, 言语想象的神经机制研究还面临一系列挑战, 未来研究可在言语想象质量评价工具及神经解码范式、脑控制回路、激活通路、言语障碍群体的言语想象机制、词语和句子想象的脑神经信号等方面进一步探索, 为有效提高脑机接口的识别率提供依据, 为言语障碍群体的沟通提供便利。

关键词: 言语想象, 发音运动计划, 脑机接口, 神经机制


Speech imagery is an internal perceptual experience of one's own speech or others' speech. It not only plays an important role in the pre-processing mechanism of the brain, but it is also the latest technology in the field of brain-computer interface (BCI) research. Firstly, the theoretical model, activation of brain regions, and neural conduction pathways of speech imagery have many similarities with speech production, but there are still some controversies. Theoretical models of speech production, such as the Directions Into Velocities of Articulators (DIVA) model and the State Feedback Control (SFC) model, show that the process of speech imagery and speech production are highly overlapping in the motor planning of articulatory organs and the prediction of somatosensory and auditory results. The difference is that speech imagery does not activate the last step in speech production, that is, the execution of articulatory movement. There are many similarities between the brain regions activated by speech imagery and speech production, which are mainly reflected in the brain regions of the speech motor planning and auditory center. However, the signal strength of the brain regions activated by speech imagery is weaker. The neural pathways of speech imagery and speech production are also similar. However, current research is only limited to the connections between some brain regions, such as the connection and integration of auditory cortex and motor cortex. Whether or not there are direct or indirect conduction pathways in speech imagery consistent with speech production needs further study. Secondly, for people with speech disorders, the severity of speech imagery ability is not completely positively related to the severity of speech production impairment. For example, some patients with aphasia or stuttering have no limitation in their ability of speech imagery. Due to the similarities between neural mechanisms on speech imagery and speech production, speech imagery therapy is considered a new technology for the rehabilitation of people with speech impairments caused by brain injury. However, there is still a lack of mechanism and application of speech imagery for dysarthria caused by the damage to speech motor planning and auditory cortex and its neural conduction pathways. Thirdly, when imagining meaningful words and sentences, the EEG signals are different from those in speech production. The complexity, length, and meaning of the speech samples will affect the brain activation during speech imagery. Moreover, the identification of brain regions with weak signals, stimulation methods, and brain signal detection techniques will affect the identification of cranial nerve signals. The neural mechanism of speech imagery plays an important role in both the brain preprocessing mechanism and BCI technology. Given the complexity of the speech system, research on the neural mechanism of speech imagery still faces a series of challenges. Further research can focus on speech imagery quality evaluation tools, neural decoding paradigms, brain control circuits, activation pathways, and speech imagery mechanisms in speech disorders. Further exploration of the cranial nerve signals of word and sentence imagery will help provide a basis for effectively improving the recognition rate of BCI and to facilitate the communication for people with speech disorders.

Key words: speech imagery, speech motor planning, brain-computer interface, neural mechanism