Evidence map›Paper›PMID 42311937›Full record

ReviewFrontiers in neuroanatomy2026

Intrinsic elaboration of prefrontal modularity: a dual-control model of axon bundling and synaptic docking.

Tetsuo Yamamori, Akiya Watakabe, Henrik Skibbe

Abstract readReview
In one paragraph

Review in Frontiers in neuroanatomy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

3 authors.

Tetsuo YamamoriDepartment of Biological Function and Regulation, CIEA (Central Institute for Experimental Medicine and Life Science), Kawasaki, Japan.
Akiya WatakabeLaboratory for Molecular Mechanisms of Brain Development, Center for Brain Science, RIKEN, Wako, Japan.
Henrik SkibbeFaculty of Informatics, Department of Informatics, Matsuyama University, Matsuyama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary expansion of the primate prefrontal cortex (PFC) presents a profound biological enigma: how does this region achieve a highly ordered, modular architecture in the absence of direct dense sensory templates that govern primary sensory areas? In this review, we synthesize classical neuroanatomical frameworks with recent advances in spatial transcriptomics and connectomics to delineate a model of intrinsic elaboration. We propose that PFC modularity emerges from a developmental program facilitated by expansion of the outer subventricular zone (OSVZ) and the legacy of whole-genome duplication (2R-WGD). Central to this proposal is a "Dual-Control Model" of circuit assembly, inferred by integrating anatomical tracer data with spatial and spatiotemporal transcriptomic datasets. This framework suggests that long-range connectivity is established through pre-target axon bundling (fasciculation), governed by a high-dimensional navigation code (e.g., ephrin/Eph, PCDH11X, PCDH17, ROBO2), while these bundles are anchored onto vertical columnar scaffolds through synaptic docking mechanisms (e.g., CBLN2, cadherins). By contrasting the PFC with the map-driven visual system, point-driven olfactory system, and layer-driven hippocampus, we argue that PFC uniqueness lies not in novel genes but in a combinatorial logic of a shared molecular toolkit, which can be understood as intrinsic elaboration. This framework may facilitate the emergence of a cognitive scaffold under relatively weak external sensory constraints. These molecular systems are considered to operate in concert with activity-dependent developmental refinement rather than independently of neural activity.

Indexed as

axon and dendrite developmentaxon bundlesaxon guidance cuecortical areasgradientprefrontal cortexretinoic acidsynaptogeneisis

Identifiers

PMID42311937
PMCPMC13269059

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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.