Understanding How Our Brains Process Speech Rhythm
A study on brain activity while listening to natural speech reveals complex interactions.
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Table of Contents
When we listen to someone talk, our brains are busy processing a lot of information at once. Natural Speech creates a sound pattern that helps us understand language. Researchers have studied how our brains respond to speech for many years. One important finding is that our brains react to sounds in a rhythmic way, which helps us focus on what is being said. However, it is not clear whether this rhythm comes from the speech itself or if our brains follow their own internal rhythm while listening.
Syllables and Rhythm in Speech
Syllables in speech happen at a specific time, around every 200 milliseconds. This timing links to how the loudness of speech changes, which occurs around five times per second. It is thought that our brains match this timing with a rhythm in the brain that works at a similar speed, known as theta rhythm (4-7 Hz). But when we look at larger groups of words, it is harder to see this match. A good example of this is how phrases in speech can have rhythms that last about one second. These phrases might be tracked by a slower rhythm in the brain called delta rhythm (below 2 Hz).
The Role of Prosody
We have seen in other studies that our brains can track these rhythmic phrases in the delta range. However, some research suggests that this delta rhythm might also reflect our brain's efforts to break down sentences and piece together meanings from multiple words. For instance, the rhythm in our brains can predict when a group of words will end, even without clear pauses in speech. Yet, prosody, which refers to the patterns of stress and intonation in speech, plays an essential role in how we interpret language.
Experiment Design
In this study, we wanted to understand how these different processes work together when we listen to natural speech. We looked at how our brain's rhythm interacts with the acoustic features of speech-like pauses and changes in sound-while also considering the meaning of phrases composed of multiple words.
To do this, we asked participants to listen to a story while we recorded their brain activity. During the experiment, we altered the natural pauses in the story. In one part, we kept the story as it was, and in the other part, we randomly changed the length of the pauses while leaving the overall structure intact. This way, we could see how changes in the rhythm of speech influenced the brain's response.
Analyzing Brain Activity
Our goal was to determine how the brain processes acoustic signals related to speech sounds and the Context in which these sounds occur. During the experiment, we focused on how brain activity in the delta and gamma frequency ranges changed based on the listening conditions.
After listening to the story, we looked closely at how different areas of the brain responded to speech sounds. We found that when the natural rhythm of speech was disrupted, the brain's ability to sync with the speech in the delta range decreased. In contrast, as the delta alignment dropped, we saw an increase in gamma activity, suggesting a shift in how the brain processes the incoming speech.
Delta and Gamma Activity
We observed that when speech was predictable, the brain displayed strong alignment in the delta rhythm. When the speech became unpredictable, the delta alignment weakened, yet the gamma coherence increased. This relationship suggests that when our brain predicts something and it does not happen, it reacts by increasing gamma activity, which may help process the unexpected information.
Processing Word Groups
We also wanted to check if the brain's delta alignment was evident at the boundaries of multi-word phrases. Typically, these phrases are thought to help integrate meanings from groups of words. We identified these multi-word chunks using a specific algorithm, which helped us analyze the relationship between chunks of words and the brain activity that corresponds with them.
In our results, we found that there was still delta alignment for chunk onsets that did not have a clear pause. This means that our brains can pick up on contextually-driven signals even when there are no clear pauses in speech.
Contextual Processing of Chunks
Next, we examined whether recognizing chunks of words in speech improved the accuracy of our models that predicted brain activity. We created two models: one that included the chunks and another that did not. The model that included chunks performed better, indicating that our brains utilize context to understand speech.
To further ensure these results were reliable, we analyzed how the delta phase activity related to the performance of our models. We discovered a significant link between the model's accuracy and the presence of delta alignment at chunk onsets that lacked pauses. This suggests that recognizing multi-word chunks is related to how well the brain aligns with slow rhythmic activity.
Interactions Between Processes
The findings indicate that our brain processes speech in a layered manner. The bottom-up processing focuses on sounds and rhythms, while top-down processing relies on context and expectations. Both processing types are important in helping us understand speech better.
When the natural structure of speech is disturbed, like with our pause changes, it leads to a reduction in predictability. This change forces the brain to adapt, causing a shift in the balance between these two processing types.
Summary of Findings
To sum it up, our research shows that our brains work to process the rhythmic aspects of speech while also incorporating contextual information. The delta rhythm seems to be more aligned with how we expect phrases to unfold, while gamma activity reflects how our brains react to unexpected information.
By manipulating the structure of the story's speech, we found that changes in timing affect how the brain synchronizes its activity with the spoken words. The two rhythms operate in parallel, allowing the brain to blend sensory input with knowledge and experiences to understand speech better.
Conclusion
The way we process spoken language is complex and involves many interacting systems. Our findings reveal that both the rhythmic patterns in speech and the contextual information play essential roles in how we comprehend language. As our understanding of these processes continues to grow, it may lead to new approaches in helping people with language difficulties or improving communication technologies.
Understanding how these elements work together could provide insights into the nuances of speech processing and the importance of rhythm and context in our daily interactions.
Title: Dissociating endogenous and exogenous delta activity during natural speech comprehension
Abstract: Decoding human speech requires the brain to segment the incoming acoustic signal into meaningful linguistic units, ranging from syllables and words to phrases. Integrating these linguistic constituents into a coherent percept sets the root of compositional meaning and hence understanding. One important cue for segmentation in natural speech are prosodic cues, such as pauses, but their interplay with higher-level linguistic processing is still unknown. Here we dissociate the neural tracking of prosodic pauses from the segmentation of multi-word chunks using magnetoencephalography (MEG). We find that manipulating the regularity of pauses disrupts slow speech-brain tracking bilaterally in auditory areas (below 2 Hz) and in turn increases left-lateralized coherence of higher frequency auditory activity at speech onsets (around 25 - 45 Hz). Critically, we also find that multi-word chunks--defined as short, coherent bundles of inter-word dependencies--are processed through the rhythmic fluctuations of low frequency activity (below 2 Hz) bilaterally and independently of prosodic cues. Importantly, low-frequency alignment at chunk onsets increases the accuracy of an encoding model in bilateral auditory and frontal areas, while controlling for the effect of acoustics. Our findings provide novel insights into the neural basis of speech perception, demonstrating that both acoustic features (prosodic cues) and abstract processing at the multi-word timescale are underpinned independently by low-frequency electrophysiological brain activity.
Authors: Nikos Chalas, L. Meyer, C.-W. Lo, H. Park, D. S. Kluger, O. Abbasi, C. Kayser, R. Nitsch, J. Gross
Last Update: 2024-02-01 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.02.01.578181
Source PDF: https://www.biorxiv.org/content/10.1101/2024.02.01.578181.full.pdf
Licence: https://creativecommons.org/licenses/by-nc/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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