Evidence map›Paper›PMID 38826298›Full record

ArticlebioRxiv : the preprint server for biology2024

Intrinsic Dynamics and Neural Implementation of a Hypothalamic Line Attractor Encoding an Internal Behavioral State.

Amit Vinograd, Aditya Nair, Scott W Linderman, David J Anderson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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

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

4 authors.

Amit VinogradDivision of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA.ORCID 0000-0002-2604-9828
Aditya NairDivision of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA.ORCID 0000-0001-5242-5527
Scott W LindermanDepartment of Statistics, Stanford University, Stanford, USA.ORCID 0000-0002-3878-9073
David J AndersonDivision of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA.ORCID 0000-0001-6175-3872

Funding

Region-Specific, Inducible Axonal Tract-Tracing in the BrainR01MH070053 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI David J Anderson · 2004 to 2026
$9.7M
Circuit basis of social behavior decision-making in a subcortical networkR01NS123916 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSON, DAVID J · 2021 to 2025
$2.9M
Multimodal and Supramodal processing of threatening emotional stimuliR01MH112593 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSON, DAVID J · 2017 to 2021
$2.8M
Multimodal, integrated analysis of neural activity and naturalistic social behavior in freely moving miceR01MH123612 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSON, DAVID J, PERONA, PIETRO · 2020 to 2024
$2.1M
NIMH NIH HHS R01 MH070053NIMH NIH HHS R01 MH112593NIMH NIH HHS R01 MH123612NINDS NIH HHS R01 NS123916
6 · The paper itself

Abstract

Line attractors are emergent population dynamics hypothesized to encode continuous variables such as head direction and internal states. In mammals, direct evidence of neural implementation of a line attractor has been hindered by the challenge of targeting perturbations to specific neurons within contributing ensembles. Estrogen receptor type 1 (Esr1)-expressing neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvl) show line attractor dynamics in male mice during fighting. We hypothesized that these dynamics may encode continuous variation in the intensity of an internal aggressive state. Here, we report that these neurons also show line attractor dynamics in head-fixed mice observing aggression. We exploit this finding to identify and perturb line attractor-contributing neurons using 2-photon calcium imaging and holographic optogenetic perturbations. On-manifold perturbations demonstrate that integration and persistent activity are intrinsic properties of these neurons which drive the system along the line attractor, while transient off-manifold perturbations reveal rapid relaxation back into the attractor. Furthermore, stimulation and imaging reveal selective functional connectivity among attractor-contributing neurons. Intriguingly, individual differences among mice in line attractor stability were correlated with the degree of functional connectivity among contributing neurons. Mechanistic modelling indicates that dense subnetwork connectivity and slow neurotransmission are required to explain our empirical findings. Our work bridges circuit and manifold paradigms, shedding light on the intrinsic and operational dynamics of a behaviorally relevant mammalian line attractor.

Identifiers

PMID38826298
PMCPMC11142118

What OpenQuestion holds

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Registered trials

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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.