Evidence map›Paper›PMID 40085502›Full record

ArticlePsyCh journal2025

Structural Cerebral Correlates of Perplexity: Exploring a Linguistic Marker in Cognitive Aging.

Xingsong Wang, Christina J Herold, Claudia Frankenberg, Ayimnisagul Ablimit, Tanja Schultz, Li Kong, Johannes Schröder

Abstract read
In one paragraph

Article in PsyCh journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xingsong WangSchool of Psychology, Shanghai Normal University, Shanghai, China.
Christina J HeroldSection of Geriatric Psychiatry, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany.
Claudia FrankenbergSection of Geriatric Psychiatry, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany.
Ayimnisagul AblimitCognitive Systems Lab, Bremen University, Bremen, Germany.
Tanja SchultzCognitive Systems Lab, Bremen University, Bremen, Germany.
Li KongSchool of Psychology, Shanghai Normal University, Shanghai, China.ORCID https://orcid.org/0000-0002-8035-9421
Johannes SchröderSection of Geriatric Psychiatry, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany.

Funding

Deutsche Forschungsgemeinschaft SCHR 471/5_1Deutsche Forschungsgemeinschaft SCHU 2452/11_1Natural Science Foundation of China 82071501
6 · The paper itself

Abstract

Language changes are among the earliest indicators of cognitive decline in aging. Perplexity, a linguistic measure derived from information theory that quantifies speech predictability, has emerged as a potential marker for detecting early cognitive changes. However, its underlying neural substrates remain unclear. This study investigated the structural brain correlates of perplexity in 38 elderly participants (26 cognitively healthy, 12 with mild cognitive impairment) using magnetic resonance imaging (MRI). Perplexity was computed automatically from autobiographical interviews using single-word (1-g) and word-pair (2-g) models. Voxel-based morphometry analyses, adjusted for total intracranial volume, sex, and education, revealed distinct associations between perplexity measures and regional gray matter volume. Region-of-interest analyses confirmed significant positive correlations between 1-g perplexity and left middle temporal gyrus volume as well as between 2-g perplexity and left precuneus. These findings suggest that perplexity reflects both linguistic processing and autobiographical memory, as evidenced by its associations with language-relevant temporal regions and memory-related precuneus. This study provides initial insights into the neural basis of perplexity as a measure that captures both linguistic and content-related aspects of language production in cognitive aging.

Indexed as

BrainCognitive AgingCognitive DysfunctionAgedAged, 80 and overFemaleGray MatterHumansLanguageLinguisticsMagnetic Resonance ImagingMaleMemory, EpisodicMiddle Agedcognitive aginglinguisticmild cognitive impairmentMRIperplexity

Identifiers

PMID40085502
PMCPMC12133234

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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.