Evidence map›Paper›PMID 40414967›Full record

ArticleScientific reports2025

The dynamics of stimulus selection in the nucleus isthmi pars magnocellularis of avian midbrain network.

Longlong Qian, Chongchong Jia, Jiangtao Wang, Li Shi, Zhizhong Wang, Songwei Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Longlong QianZhengzhou University, Zhengzhou, China.
Chongchong JiaZhengzhou University, Zhengzhou, China.
Jiangtao WangZhengzhou University, Zhengzhou, China.
Li ShiHenan Provincial Key Laboratory of Brain Science and Brain-Computer Interface, Zhengzhou University, Zhengzhou, China.
Zhizhong WangZhengzhou University, Zhengzhou, China.
Songwei WangZhengzhou University, Zhengzhou, China. wangsongwei_zzu@163.com.

Funding

China Postdoctoral Science Foundation 2024M752934
6 · The paper itself

Abstract

The nucleus isthmi pars magnocellularis (Imc) serves as a critical node in the avian midbrain network for encoding stimulus salience and selection. While reciprocal inhibitory projections among Imc neurons (inhibitory loop) are known to govern stimulus selection, existing studies have predominantly focused on stimulus selection under stimuli of constant relative intensity. However, animals typically encounter complex and changeable visual scenes. Thus, how Imc neurons represent stimulus selection under varying relative stimulus intensities remains unclear. Here, we examined the dynamics of stimulus selection by in vivo recording of Imc neurons' responses to spatiotemporally successive visual stimuli divided into two segments: the previous stimulus and the post stimulus. Our data demonstrate that Imc neurons can encode sensory memory of the previous stimulus, which modulates competition and salience representation in the post stimulus. This ​history-dependent modulation is also manifested in persistent neural activity after stimulus cessation. We identified, through neural tracing, focal inactivation, and computational modeling experiments, projections from the nucleus isthmi pars parvocellularis (Ipc) to "shepherd's crook" (Shc) neurons, which could be either direct or indirect. These projections enhance Imc neurons' responses and persistent neural activity after stimulus cessation. This connectivity supports ​a Shc-Ipc-Shc excitatory loop in the midbrain network. The coexistence of ​excitatory and inhibitory loops provides ​a neural substrate for ​continuous attractor network models, ​a proposed framework for neural information representation. This study also offers a potential explanation for how animals maintain short-term attention to targets in complex and changeable environments.

Indexed as

MesencephalonNerve NetAnimalsBirdsNeuronsPhotic StimulationAttractor networkDynamicsExcitatory loopSensory memoryStimulus competition

Identifiers

PMID40414967
PMCPMC12104471

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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.