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Object recognition
  • Introduction

Activity atlas for object recognition (category specific representations), including face-selective regions (FSR), scene-selective regions (SSR) and object-selective regions (OSR)

  • Data acquisition

Blocked design, passive view of dynamic movie clip, 4 conditions (faces, places, tools and scramble objects), 3 runs, 2 blocks per condition per run(18s each), 6 clips per run, 3 fixation block per run(18s), 3T scanner, TR =2sec, 99 volumes per run.

  • Contrast of interest

Faces vs. objects for FSR, scenes vs. objects for SSR, objects vs. scramble objects for OSR and motion vs. fixation for MSR;

  • References and Citation

FSR atlas:Zhen, Z., Yang, Z., Huang, L., Kong, X.-z., Wang, X., Dang, X., Huang, Y., Song, Y., Liu, J. (2015) Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas. NeuroImage, 113:13-25.

SSR atlas: Zonglei Zhen, Xiang-zhen Kong ,Zetian Yang, Lijie Huang, Xu Wang, Xiaobin Dang , Yangyue Huang , Yiying Song & Jia Liu, : Quantifying the Variability of Scene-selective Regions: Interindividual, Interhemispheric and Sex Differences. Human Brain Mapping, 38:2260-2275.

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Motion Perception
  • Introduction

Activity atlas for motion perception, including motion-selective regions (MSR).

  • Data acquisition

Blocked design,passive view of concentric rings with either moving or stationary, 2 conditions (static and motion), 1 run, 2 blocks per condition per run (16s each), 11 blocks for static, 10 blocks for motion, 3T scanner, TR =2sec, 168 volumes per run.

  • Contrast of interest

Motion vs. static for MSR;

  • References and Citation

MSR atlas: Huang T, Chen X, Jiang J, Zhen Z, Liu J. A probabilistic atlas of the human motion complex built from large-scale functional localizer data. Hum Brain Mapp. 2019;113.

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Working Memory
  • Introduction

Activity atlas for working memory, including bilateral superior parietal lobule (SPL), precuneus (PCUN), frontal eye field (FEF), middle frontal gyrus (MFG), anterior cingulate cortex (ACC), insular (INS), and frontal pole (FP).

  • Data acquisition

Block design, 2 conditions (1-back and 2-back), 2 runs (336s), 2 blocks per condition per run, 3T scanner, TR = 2 second, 168 volumes per run.

  • Contrast of interest

2-back vs. 1-back.

  • Reference and Citation

Chen Chen, Ying Zhang, Zonglei Zhen, Yiying Song, Siyuan Hu, Jia Liu. (in preparation) Quantifying the Variability of Neural Activation in Working Memory: A Functional Probabilistic Atlas.

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Related News
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