ArticleScientific reports2019
Neurocognitive Signatures of Naturalistic Reading of Scientific Texts: A Fixation-Related fMRI Study.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
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- Distinct functional connectivity patterns during naturalistic learning by adolescent first versus second language speakers.Scientific reports · 2024Article
- Predicting the next sentence (not word) in large language models: What model-brain alignment tells us about discourse comprehension.Science advances · 2024Article
- The neural and cognitive basis of expository text comprehension.NPJ science of learning · 2024Article
- Onscreen presence of instructors in video lectures affects learners' neural synchrony and visual attention during multimedia learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Will you read how I will read? Naturalistic fMRI predictors of emergent reading.Neuropsychologia · 2024Article
- Semantic Representations during Language Comprehension Are Affected by Context.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- From eye movements to scanpath networks: A method for studying individual differences in expository text reading.Behavior research methods · 2023Article
- Reading digital- versus print-easy texts: a study with university students who prefer digital sources.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2022Article
- Neural Correlates of Fixated Low- and High-level Scene Properties during Active Scene Viewing.Journal of cognitive neuroscience · 2020Article
- Children's neurodevelopment of reading is affected by China's language input system in the information era.NPJ science of learning · 2020Article
- Behavioral imitation with artificial neural networks leads to personalized models of brain dynamics during videogame play.Imaging neuroscience (Cambridge, Mass.)Article
- Gamer in the scanner: Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How do students gain scientific knowledge while reading expository text? This study examines the underlying neurocognitive basis of textual knowledge structure and individual readers' cognitive differences and reading habits, including the influence of text and reader characteristics, on outcomes of scientific text comprehension. By combining fixation-related fMRI and multiband data acquisition, the study is among the first to consider self-paced naturalistic reading inside the MRI scanner. Our results revealed the underlying neurocognitive patterns associated with information integration of different time scales during text reading, and significant individual differences due to the interaction between text characteristics (e.g., optimality of the textual knowledge structure) and reader characteristics (e.g., electronic device use habits). Individual differences impacted the amount of neural resources deployed for multitasking and information integration for constructing the underlying scientific mental models based on the text being read. Our findings have significant implications for understanding science reading in a population that is increasingly dependent on electronic devices.
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Registered trials
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.