Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (753 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The act or fact of grasping the meaning, nature, or importance of; understanding. (American Heritage Dictionary, 4th ed) Includes understanding by a patient or research subject of information disclosed orally or in writing.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Understanding; Readability.
Where it fits in the MeSH classification
- Broader topics
- Cognition
- See also
- Mental Recall; Mental Competency
Research landscape
PubMed indexes 20,435 records tagged with the MeSH heading “Comprehension” (counts retrieved 2026-10-31). 5,896 of them (28.9%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 10,420 records.
Reviews account for 1,436 records (7.0%) and meta-analyses for 129. Randomized controlled trials number 792 (3.9%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 766 |
| 2000-2009 | 3,353 |
| 2010-2019 | 10,420 |
| 2020 onward | 5,896 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 1,436 | 7.0% |
| Meta-analyses | 129 | 0.6% |
| Randomized controlled trials | 792 | 3.9% |
Method: PubMed query "Comprehension"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in psychiatry and psychology
Research on mental health and behaviour relies on questionnaires, interviews and rating scales rather than physical measurements, so how a condition was defined and measured shapes every result. Many studies are observational or small, placebo responses can be large, and findings in one group or culture may not carry over to another. Nothing on this page is advice about diagnosis or treatment; anyone worried about their mental health should talk to a qualified clinician. Check how outcomes were measured, who took part and how long they were followed.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Hierarchical dynamic coding coordinates speech comprehension in the human brain | 2025 | Research article Design not recorded in structured metadata | 20 | cc by PMID 41105708 · DOI · PMC12557530 |
| Theory of Mind and the brain substrates of direct and indirect communicative action understanding | 2025 | Review article Design not recorded in structured metadata | 8 | cc by PMID 40808453 · DOI · PMC12351308 |
| Eye movements during free viewing to maximize scene understanding | 2025 | Research article Design not recorded in structured metadata | 8 | cc by PMID 41423692 · DOI · PMC12830957 |
| Sensory sharpening and semantic prediction errors unify competing models of predictive processing in human speech comprehension | 2026 | Research article Design not recorded in structured metadata | 3 | cc by PMID 41512013 · DOI · PMC12788694 |
Hierarchical dynamic coding coordinates speech comprehension in the human brain [1]
Abstract reading summary — source excerpts
- Opening excerpt
- Speech comprehension involves transforming an acoustic waveform into meaning.
- Closing excerpt
- Overall, HDC reveals how the human brain maintains and updates the continuously unfolding language hierarchy during natural speech comprehension, thereby anchoring linguistic theories to their biological implementations.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (225 words)
Speech comprehension involves transforming an acoustic waveform into meaning. To do so, the human brain generates a hierarchy of features that converts the sensory input into increasingly abstract language properties. However, little is known about how rapid incoming sequences of hierarchical features are continuously coordinated. Here, we propose that each language feature is supported by a dynamic neural code, which represents the sequence history of hierarchical features in parallel. To test this "hierarchical dynamic coding" (HDC) hypothesis, we use time-resolved decoding of brain activity to track the construction, maintenance, and update of a comprehensive hierarchy of language features spanning phonetic, word form, lexical-syntactic, syntactic, and semantic representations. For this, we recorded 21 native English participants with magnetoencephalography (MEG), while they listened to two hours of short stories in English. Our analyses reveal three main findings. First, the brain represents and simultaneously maintains a sequence of hierarchical features. Second, the duration of these representations depends on their level in the language hierarchy. Third, each representation is maintained by a dynamic neural code, which evolves at a speed commensurate with its corresponding linguistic level. This HDC preserves the maintenance of information over time while limiting destructive interference between successive features. Overall, HDC reveals how the human brain maintains and updates the continuously unfolding language hierarchy during natural speech comprehension, thereby anchoring linguistic theories to their biological implementations.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41105708 · DOI · PMC12557530
Theory of Mind and the brain substrates of direct and indirect communicative action understanding [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Grasping the speaker's communicative intention based on the verbal utterance and its context is one of the key aspects of human interaction.
- Closing excerpt
- This article is part of the theme issue 'At the heart of human communication: new views on the complex relationship between pragmatics and Theory of Mind'.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (216 words)
Grasping the speaker's communicative intention based on the verbal utterance and its context is one of the key aspects of human interaction. This ability relies on theory of mind (ToM), that is, the cognitive processing of mental states, beliefs and desires of others. We review evidence showing that brain regions ypically engaged in ToM processing, particularly the medial prefrontal cortex and bilateral temporo-parietal junction, are activated when listeners interpret indirect speech acts. However, other studies show a degree of variability of these 'ToM area activations' during indirect communication, while yet others demonstrate that the same areas are activated for specific communicative functions, such as requests, promises or questions per se, even when expressed directly. Furthermore, we show that studies on indirectness of communication raise questions about the role of different communicative function types in drawing upon 'ToM regions'. We attempt to relate cortical area activations to the commitments, assumptions and intentions that the interlocutors commit to when processing specific communicative function types. In essence, all communicative actions, including both direct and indirect ones, have in common that relevant knowledge about others' intentions and beliefs needs to be processed by the interlocutors.This article is part of the theme issue 'At the heart of human communication: new views on the complex relationship between pragmatics and Theory of Mind'.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40808453 · DOI · PMC12351308
Eye movements during free viewing to maximize scene understanding [3]
Abstract reading summary — source excerpts
- Opening excerpt
- What humans look at and do when freely viewing a scene is not well understood.
- Closing excerpt
- Thus, an important human default task of free viewing eye movements is to comprehend scenes.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (164 words)
What humans look at and do when freely viewing a scene is not well understood. We measure observer eye movements under different instructions while participants view a customized set of image pairs containing small visual alterations that greatly change scene interpretation (Winograd images). We show that free-viewing fixations resemble those of observers describing scenes but differ from those of observers counting or searching for objects. Fixations are more often directed toward people and objects whose removal most alters scene interpretation, rather than toward the most salient or meaningfully judged regions (meaning maps), or objects perceived to be grasped or gazed at. Small image changes that modify scene understanding (Winograd images), but not salience or meaning maps, alter fixation patterns. By instructing observers to describe scenes while fixating on objects either relevant or irrelevant to scene understanding, we demonstrate that free-viewing eye movements are functionally important for accurate scene comprehension. Thus, an important human default task of free viewing eye movements is to comprehend scenes.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41423692 · DOI · PMC12830957
Sensory sharpening and semantic prediction errors unify competing models of predictive processing in human speech comprehension [4]
Abstract reading summary — source excerpts
- Opening excerpt
- The human brain makes abundant predictions in speech comprehension that, in real-world conversations, depend on conversational partners.
- Closing excerpt
- These findings support a unified model of predictive processing, wherein sharpening and prediction errors coexist at distinct hierarchical levels to facilitate both robust perception and adaptive world models.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (148 words)
The human brain makes abundant predictions in speech comprehension that, in real-world conversations, depend on conversational partners. Yet, tested models of predictive processing diverge on how such predictions are integrated with incoming speech: The brain may emphasise either expected information through sharpening or unexpected information through prediction error. We reconcile these views through direct neural evidence from electroencephalography showing that both mechanisms operate at different hierarchical levels during speech perception. Across multiple experiments, participants heard identical ambiguous speech in different speaker contexts. Using speech decoding, we show that listeners learn speaker-specific semantic priors, which sharpen sensory representations by pulling them toward expected acoustic signals. In contrast, encoding models leveraging pretrained transformers reveal that prediction errors emerge at higher linguistic levels. These findings support a unified model of predictive processing, wherein sharpening and prediction errors coexist at distinct hierarchical levels to facilitate both robust perception and adaptive world models.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41512013 · DOI · PMC12788694
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article The neural and computational bases of semantic cognition [5]
- Research article The false hope of current approaches to explainable artificial intelligence in health care [6]
- Research article Language and theory of mind: meta-analysis of the relation between language ability and false-belief understanding [7]
- Research article Understanding idiopathic intracranial hypertension: mechanisms, management, and future directions [8]
- Research article Getting real about semantic illusions: rethinking the functional role of the P600 in language comprehension [9]
- Research article The honeybee as a model for understanding the basis of cognition [10]
Full-text reviews on EvidenceLib
Open-access review articles about this topic, reproduced in full with authors, licence and references.
Neonates at Risk: Understanding the Impact of High-Risk Pregnancies on Neonatal Health
Rozeta Sokou, Alexandra Lianou, Maria Lampridou et al. · Medicina 2025 · CC BY 4.0
Current understanding of the molecular mechanisms of chemotherapy-induced peripheral neuropathy
Xinyu Chen, Yumeng Gan, Ngan Pan Bennett Au et al. · Frontiers in Molecular Neuroscience 2024 · CC BY 4.0
Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
Xue Zhu, Qi Yao, Pengshuo Yang et al. · Frontiers in Pharmacology 2022 · CC BY 4.0
Understanding the Enablers and Barriers to Appropriate Infants and Young Child Feeding Practices in India: A Systematic Review
Mansi Vijaybhai Dhami, Felix Akpojene Ogbo, Blessing Jaka Akombi-Inyang et al. · Nutrients 2021 · CC BY 4.0
Finding Solutions for Fibrosis: Understanding the Innate Mechanisms Used by Super‐Regenerator Vertebrates to Combat Scarring
Fallon Durant, Jessica L Whited · Advanced Science 2021 · CC BY 4.0
References
- Gwilliams L, Marantz A, Poeppel D, King JR. Hierarchical dynamic coding coordinates speech comprehension in the human brain. . 2025. PMID 41105708 · DOI · PMC12557530
- Tomasello R, Boux I, Pulvermüller F. Theory of Mind and the brain substrates of direct and indirect communicative action understanding. . 2025. PMID 40808453 · DOI · PMC12351308
- Murlidaran S, Eckstein MP. Eye movements during free viewing to maximize scene understanding. . 2025. PMID 41423692 · DOI · PMC12830957
- Schneider F, Blank H. Sensory sharpening and semantic prediction errors unify competing models of predictive processing in human speech comprehension. . 2026. PMID 41512013 · DOI · PMC12788694
- Ralph MA, Jefferies E, Patterson K, Rogers TT. The neural and computational bases of semantic cognition. Nat Rev Neurosci. 2017. PMID 27881854 · DOI
- Ghassemi M, Oakden-Rayner L, Beam AL. The false hope of current approaches to explainable artificial intelligence in health care. Lancet Digit Health. 2021. PMID 34711379 · DOI
- Milligan K, Astington JW, Dack LA. Language and theory of mind: meta-analysis of the relation between language ability and false-belief understanding. Child Dev. 2007. PMID 17381794 · DOI
- Markey KA, Mollan SP, Jensen RH, Sinclair AJ. Understanding idiopathic intracranial hypertension: mechanisms, management, and future directions. Lancet Neurol. 2016. PMID 26700907 · DOI
- Brouwer H, Fitz H, Hoeks J. Getting real about semantic illusions: rethinking the functional role of the P600 in language comprehension. Brain Res. 2012. PMID 22361114 · DOI
- Menzel R. The honeybee as a model for understanding the basis of cognition. Nat Rev Neurosci. 2012. PMID 23080415 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-11-04.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.