Literature DB >> 31668624

Fear-Related Signals in the Primary Visual Cortex.

Zhihan Li1, An Yan1, Kun Guo2, Wu Li3.   

Abstract

Neuronal responses in the primary visual cortex (V1) are driven by simple stimuli, but these stimulus-evoked responses can be markedly modulated by non-sensory factors, such as attention and reward [1], and shaped by perceptual training [2]. In real-life situations, neutral visual stimuli can become emotionally tagged by experience, resulting in altered perceptual abilities to detect and discriminate these stimuli [3-5]. Human imaging [4] and electroencephalography (EEG) studies [6-9] have shown that visual fear learning (the acquisition of aversive emotion associated with a visual stimulus) affects the activities in visual cortical areas as early as in V1. However, it remains elusive as to whether the fear-related activities seen in the early visual cortex have to do with feedback influences from other cortical areas; it is also unclear whether and how the response properties of V1 cells are modified during the fear learning. In the current study, we addressed these issues by recording from V1 of awake monkeys implanted with an array of microelectrodes. We found that responses of V1 neurons were rapidly modified when a given orientation of grating stimulus was repeatedly associated with an aversive stimulus. The output visual signals from V1 cells conveyed, from their response outset, fear-related signals that were specific to the fear-associated grating orientation and visual-field location. The specific fear signals were independent of neurons' orientation preferences and were present even though the fear-associated stimuli were rendered invisible. Our findings suggest a bottom-up mechanism that allows for proactive labeling of visual inputs that are predictive of imminent danger.
Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  cortical plasticity; fear learning; macaques; orientation tuning; primary visual cortex; specificity

Mesh:

Year:  2019        PMID: 31668624     DOI: 10.1016/j.cub.2019.09.063

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  7 in total

1.  NMDAR-Dependent Emergence of Behavioral Representation in Primary Visual Cortex.

Authors:  Alicja Puścian; Hadas Benisty; Michael J Higley
Journal:  Cell Rep       Date:  2020-07-28       Impact factor: 9.423

2.  Contextual Fear Learning and Extinction in the Primary Visual Cortex of Mice.

Authors:  Xiaoke Xie; Shangyue Gong; Ning Sun; Jiazhu Zhu; Xiaobin Xu; Yongxian Xu; Xiaojing Li; Zhenhong Du; Xuanting Liu; Jianmin Zhang; Wei Gong; Ke Si
Journal:  Neurosci Bull       Date:  2022-06-15       Impact factor: 5.203

3.  Layer-specific, retinotopically-diffuse modulation in human visual cortex in response to viewing emotionally expressive faces.

Authors:  Tina T Liu; Jason Z Fu; Yuhui Chai; Shruti Japee; Gang Chen; Leslie G Ungerleider; Elisha P Merriam
Journal:  Nat Commun       Date:  2022-10-22       Impact factor: 17.694

4.  Human Sensory Cortex Contributes to the Long-Term Storage of Aversive Conditioning.

Authors:  Yuqi You; Joshua Brown; Wen Li
Journal:  J Neurosci       Date:  2021-02-23       Impact factor: 6.167

5.  Decoding Neural Representations of Affective Scenes in Retinotopic Visual Cortex.

Authors:  Ke Bo; Siyang Yin; Yuelu Liu; Zhenhong Hu; Sreenivasan Meyyappan; Sungkean Kim; Andreas Keil; Mingzhou Ding
Journal:  Cereb Cortex       Date:  2021-05-10       Impact factor: 5.357

6.  Aversive Conditioning of Spatial Position Sharpens Neural Population-Level Tuning in Visual Cortex and Selectively Alters Alpha-Band Activity.

Authors:  Wendel M Friedl; Andreas Keil
Journal:  J Neurosci       Date:  2021-05-25       Impact factor: 6.167

7.  Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex.

Authors:  Siyang Yin; Ke Bo; Yuelu Liu; Nina Thigpen; Andreas Keil; Mingzhou Ding
Journal:  Soc Cogn Affect Neurosci       Date:  2020-11-06       Impact factor: 3.436

  7 in total

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