Evidence map›Paper›PMID 38339788›Full record

ArticleHuman brain mapping2024

Phase-encoded fMRI tracks down brainstorms of natural language processing with subsecond precision.

Victoria Lai Cheng Lei, Teng Ieng Leong, Cheok Teng Leong, Lili Liu, Chi Un Choi, Martin I Sereno, Defeng Li, Ruey-Song Huang

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Victoria Lai Cheng LeiCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Teng Ieng LeongCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Cheok Teng LeongCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Lili LiuCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Chi Un ChoiCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Martin I SerenoDepartment of Psychology, San Diego State University, San Diego, California, USA.
Defeng LiCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
Ruey-Song HuangCentre for Cognitive and Brain Sciences, University of Macau, Taipa, China.
University of Macau · MOSan Diego State University · US

Funding

Cognitive functions of multisensory cortical mapsR01MH081990 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SERENO, MARTIN IRENAEUS · 2009 to 2013
$1.8M
NIH HHS R01 MH081990NIMH NIH HHS R01 MH081990
6 · The paper itself

Abstract

Natural language processing unfolds information overtime as spatially separated, multimodal, and interconnected neural processes. Existing noninvasive subtraction-based neuroimaging techniques cannot simultaneously achieve the spatial and temporal resolutions required to visualize ongoing information flows across the whole brain. Here we have developed rapid phase-encoded designs to fully exploit the temporal information latent in functional magnetic resonance imaging data, as well as overcoming scanner noise and head-motion challenges during overt language tasks. We captured real-time information flows as coherent hemodynamic waves traveling over the cortical surface during listening, reading aloud, reciting, and oral cross-language interpreting tasks. We were able to observe the timing, location, direction, and surge of traveling waves in all language tasks, which were visualized as "brainstorms" on brain "weather" maps. The paths of hemodynamic traveling waves provide direct evidence for dual-stream models of the visual and auditory systems as well as logistics models for crossmodal and cross-language processing. Specifically, we have tracked down the step-by-step processing of written or spoken sentences first being received and processed by the visual or auditory streams, carried across language and domain-general cognitive regions, and finally delivered as overt speeches monitored through the auditory cortex, which gives a complete picture of information flows across the brain during natural language functioning. PRACTITIONER POINTS: Phase-encoded fMRI enables simultaneous imaging of high spatial and temporal resolution, capturing continuous spatiotemporal dynamics of the entire brain during real-time overt natural language tasks. Spatiotemporal traveling wave patterns provide direct evidence for constructing comprehensive and explicit models of human information processing. This study unlocks the potential of applying rapid phase-encoded fMRI to indirectly track the underlying neural information flows of sequential sensory, motor, and high-order cognitive processes.

Indexed as

Magnetic Resonance ImagingNatural Language ProcessingBrainBrain MappingHumansLanguagebrainstormsdual-stream modelshemodynamic traveling wavesinformation flowslogistics models

Identifiers

PMID38339788
PMCPMC10858339
OpenAlexW4391723268

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.