A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect: IAPS Subject 256 Image 9810

<p>Created by iimg_reconstruct_vols</p>

[](https://neurovault.org/images/7786)

### Collection description

<p>This dataset contains single trial responses to 30 images from the International Affective Picture Set from 182 subjects. These data were used to train the Picture Induced Negative Emotion Signature described in Chang et al., 2015 (http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002180). The details of the experiment can be seen in Gianaros et al., 2014 (doi: 10.1016/j.biopsych.2013.10.012)</p><p>Negative photographs (Pictures: 2053, 3051, 3102, 3120, 3350, 3500, 3550, 6831, 9040, 9050, 9252, 9300, 9400, 9810, 9921) depicted bodily illness and injury (10 photographs), acts of aggression (2 photographs), members of hate groups (1 photograph), transportation accidents (1 photograph) and human waste (1 photograph). Neutral photographs (Pictures: 5720, 5800, 7000, 7006, 7010, 7040, 7060, 7090, 7100,7130, 7150, 7217, 7490, 7500, 9210) depicted inanimate objects (10 photographs) or neutral scenes (5 photographs).</p>

###Subject species

homo sapiens

###Modality

fMRI-BOLD

### Analysis level

single-subject

### Cognitive paradigm (task)

International Affective Picture System

### Map type

U

<p>本数据集由iimg_reconstruct_vols创建。</p>

[](https://neurovault.org/images/7786)

### 数据集描述

<p>本数据集收录了182名受试者对国际情感图片集中的30张图片的单次试验反应。这些数据被用于训练Chang等人于2015年描述的《图片诱导的负面情绪特征》（http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002180）。实验的详细信息可参考Gianaros等人于2014年的研究（doi: 10.1016/j.biopsych.2013.10.012）。</p>

<p>负面图片（图片：2053, 3051, 3102, 3120, 3350, 3500, 3550, 6831, 9040, 9050, 9252, 9300, 9400, 9810, 9921）描绘了身体疾病和伤害（10张照片）、攻击行为（2张照片）、仇恨团体成员（1张照片）、交通事故（1张照片）以及人类废弃物（1张照片）。中性图片（图片：5720, 5800, 7000, 7006, 7010, 7040, 7060, 7090, 7100, 7130, 7150, 7217, 7490, 7500, 9210）描绘了非生命物体（10张照片）或中性场景（5张照片）。</p>

### 受试者物种

homo sapiens

### 数据采集方式

fMRI-BOLD

### 分析层次

单受试者

### 认知范式（任务）

国际情感图片系统

### 地图类型

U