Evidence map›Paper›PMID 42771535›Full record

ArticleeLife2026

Retinotopic coding organizes the interaction between internally and externally oriented brain networks.

Adam Steel, Peter A Angeli, Caroline Robertson

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Adam Steel *Beckman Institute, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0001-8876-933X
Peter A Angeli *Department of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID https://orcid.org/0000-0002-0208-5808
Caroline RobertsonDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID https://orcid.org/0000-0002-1858-6594

Funding

How Visuospatial Memory Shapes Perception of Real-World EnvironmentsR01MH130529 · NIMH · DARTMOUTH COLLEGE · PI Caroline Elizabeth Robertson · 2023 to 2026
$1.7M
NIH HHS R01MH130529NIMH NIH HHS R01 MH130529
6 · The paper itself

Abstract

The human brain seamlessly integrates internally generated thoughts with incoming sensory information, yet the large-scale networks that support these functions - the internal default network (DN) and external dorsal attention network (dATN) - are traditionally viewed as functionally independent. This raises a crucial question: how does the brain integrate information across these seemingly noninteractive systems? Here, using densely sampled 7T fMRI, individualized resting-state parcellations, and voxel-wise population-receptive-field mapping, we show that these internal/external networks are more interlocked than previously thought. Spontaneous DN and dATN activity during rest is uncorrelated at the network level. However, voxel-scale functional coupling across networks is shaped by the latent visual field preferences of individual voxels in each network, as measured during independent retinotopic mapping. Voxels that share visual field preferences exhibit stronger spontaneous coupling than those with divergent preferences. These retinotopically specific interactions are bivalent: DN voxels with negative (suppressive) visual response amplitudes are anticorrelated with matched (positive) dATN voxels, while those DN voxels with positive response amplitudes are positively correlated. Thus, distinct subpopulations of visually tuned DN voxels participate in spatially specific interactions with the dATN. Further, retinotopic coding is intrinsic to the DN, persisting even during periods when the DN signal is elevated. These findings reveal a latent, voxel-level architecture of retinotopically grounded interactions between the DN and dATN. Taken together, our results suggest that retinotopic coding underpins the dynamic coordination of perception and thought in the human brain.

Indexed as

BrainNerve NetVisual PerceptionAdultAttentionBrain MappingFemaleHumansMagnetic Resonance ImagingMaleVisual PathwaysYoung Adulthumannetworksneuroscienceretinotopyvision

Identifiers

PMID42771535
PMCPMC13597088

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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.