Evidence map›Paper›PMID 41677447›Full record

ArticleJournal of sleep research2026

Lucid Dreaming Frequency Associated With Grey-White Matter Networks: An Exploratory Multimodal MRI Study.

Nicola De Pisapia, Erdem Taskiran, Stefano Mastino, Gabriele Penazzi, Alessandro Grecucci

Abstract read
In one paragraph

Article in Journal of sleep research, 2026. 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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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nicola De PisapiaDepartment of Psychology and Cognitive Science, University of Trento, Trento, Italy.
Erdem TaskiranDepartment of Psychology and Cognitive Science, University of Trento, Trento, Italy.
Stefano MastinoDepartment of Psychology and Cognitive Science, University of Trento, Trento, Italy.
Gabriele PenazziDepartment of Psychology and Cognitive Science, University of Trento, Trento, Italy.ORCID 0000-0001-9700-5227
Alessandro GrecucciDepartment of Education, Psychology, and Communication Sciences, University of Bari, Bari, Italy.ORCID 0000-0001-6043-2196

Funding

Universita degli Studi di Trento
6 · The paper itself

Abstract

Lucid dreaming, defined as the experience of becoming aware of dreaming while dreaming, offers a unique window into a state of consciousness characterised by a blending of the sensory vividness of REM sleep with the self-awareness of wakefulness. While past functional imaging has shed light on the neural activity supporting lucid dreaming, the structural brain correlates of lucid dream frequency as an individual trait varying in the normal population, remain largely unexplored. Moreover, the possibility of separating ordinary dreams from lucid dreaming has been only partially explored. In this exploratory study, we employed a data-driven, multimodal neuroimaging approach known as mCCA + jICA, to identify joint and modality-specific grey matter (GM) and white matter (WM) morphometric features associated with the individual differences in lucid and non-lucid dream recall measured by a validated self-report measure. Results revealed that lucid dreaming frequency was associated with one joint GM-WM component, encompassing frontal, temporal, parietal, and cerebellar regions implicated in metacognition, imagery, and volitional control, as well as one GM-specific component involving visual and attentional areas including the cuneus. In contrast, ordinary dream recall frequency was associated exclusively with two WM-specific components, showing no overlap with those linked to lucid dreaming. These findings suggest that the tendency to experience lucid dreams is rooted in distributed, structurally covarying brain systems, distinct from those underlying general dream recall. The presence of joint components supports the view that lucid dreaming depends on the integration of cortical and subcortical systems mediating self-awareness and internal simulation.

Indexed as

BrainDreamsGray MatterWhite MatterAdultAwarenessBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMental RecallMultimodal ImagingYoung Adultconsciousnessdream recalllucid dreamingmCCA + jICAmetacognitionmultimodal MRIstructural brain networks

Identifiers

PMID41677447
PMCPMC13357955

What Socratic holds

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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 Socratic graph.