Predicting visual working memory with multimodal magnetic resonance imaging-Reference-Cited by-同舟云学术

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Predicting visual working memory with multimodal magnetic resonance imaging

Published:2020-12-05 Issue:5 Volume:42 Page:1446-1462
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Xiao Yu¹,Lin Ying¹,Ma Junji¹,Qian Jiehui¹,Ke Zijun¹,Li Liangfang¹,Yi Yangyang¹,Zhang Jinbo¹,Dai Zhengjia¹^ORCID,

Affiliation:

1. Department of Psychology Sun Yat‐sen University Guangzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Biotechnology and Biological Sciences Research Council

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25305

Reference111 articles.

1. The Capacity of Visual Short-Term Memory is Set Both by Visual Information Load and by Number of Objects

2. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals

3. N-acetylaspartate concentration in corpus callosum is positively correlated with intelligence in adolescents

4. Dynamic Shifts of Limited Working Memory Resources in Human Vision

5. Cerebellar networks with the cerebral cortex and basal ganglia

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