Skip to content
PaperFren

Does the brain predict when a story character will come back?

Open paper intelligence

When a sentence structure made a character's return more predictable, the brain's response to that return was dampened in dorsal-stream regions, as predictive coding expects.

Source

Predicting "When" in Discourse Engages the Human Dorsal Auditory Stream: An fMRI Study Using Naturalistic Stories

Kandylaki KD, Nagels A, Tune S, et al. · The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016

doi.org/10.1523/jneurosci.4100-15.2016Read the full paper ↗15 citationscc by

Study at a glance

Design
Human experiment — Within-subject 2 x 2 fMRI design embedded in spoken German stories: voice of the context sentence (active vs passive) crossed with verb causality (high vs low), measured at the later re-mention of the same character.
N
N=20 · 20 analysed right-handed native German speakers (22 scanned, 2 excluded for movement); a separate online pretest of the stories collected ratings from 177 people.
Population
Young adult monolingual German speakers recruited at the University of Marburg
Outcome
BOLD response to the re-mentioned referent across the whole brain

Structured fields used in claim comparison tables when every cited study has a complete layer.

What they did

Participants listened to 20 two-minute German stories in the scanner. Inside each story, a character was introduced either in an active sentence or in a passive one (passives make the character likely to be mentioned again), and with either a highly causal verb like 'push' or a low-causality one like 'hold in high esteem'. The team measured brain responses at the moment the same character was mentioned again two sentences later, keeping the actual words of that re-mention identical across conditions.

What they found

Listeners answered 90% of comprehension questions correctly, showing they were attending. Characters introduced with a passive sentence produced weaker, below-baseline responses at re-mention in regions including the right inferior parietal lobule, frontal gyri, cingulate cortex and cerebellum, consistent with predicted input being suppressed. Causality had separate effects: higher responses after high-causality events in left occipital, fusiform and right insula regions, but the reverse in the middle temporal gyrus. An interaction appeared only in the supplementary motor area, in the opposite direction to an attention-based account.

The limits

What it doesn't show

The sample is small and the whole-brain threshold used a voxel level of p = 0.005 with cluster correction, which is relatively lenient. Naturalistic speech could not be fully matched for prosody; passive sentences were longer and subtle pitch differences may have contributed to the signal, as the authors acknowledge. There was no behavioural measure of prediction itself, so the 'when' versus 'what' interpretation is inferred from brain patterns, and some causality findings (e.g., in visual-stream areas) were explained only after the fact.

Key terms

Predictive coding
The idea that the brain constantly predicts incoming input and mainly signals the mismatch (prediction error), so predicted input produces smaller responses.
Dorsal auditory stream
A pathway from auditory cortex through parietal and premotor areas to the inferior frontal cortex, thought to handle sequences and timing in speech.
Referent
The person or thing that a phrase refers to in a text, such as 'the engineer'.
Sensory attenuation
A reduced neural response to input that was expected.
Temporal receptive window
The span of time over which a brain region integrates information, from sounds to whole narratives.

Flashcards

1 / 10

0 of 10 answers reviewed

Research intelligence for this paper

See its role on concept claims, tensions it is part of, placement history, and related discoveries.

Open paper intelligence

Quiz yourself

1 / 5

Which manipulation was meant to make a character's re-mention more predictable?

Common questions

Why would a passive sentence make a character more predictable?

Language studies show that the grammatical subject of a passive sentence is especially likely to be talked about again, so listeners can expect that character to return, often at the start of a new sentence.

Why keep the re-mention exactly the same across conditions?

So any brain difference comes from the preceding context rather than from different words or sounds at the measured moment.

What is the difference between predicting 'when' and 'what'?

Voice changes whether and when a character is likely to reappear, whereas causality changes how salient the character is and so what form (e.g., a pronoun) a re-mention should take.

More on Predictive coding