Mingchuan Wang , Shiya Lv , Yu Wang , Zhaojie Xu , Peiyao Jiao , Yu Liu , Siyu Zhang , Yirong Wu , Mixia Wang , Jinping Luo , Shi Yan , Zhimei Qi , Yilin Song , Juntao Liu , Xinxia Cai
{"title":"Advances in neural information detection sensors for spatial cognition research: A review","authors":"Mingchuan Wang , Shiya Lv , Yu Wang , Zhaojie Xu , Peiyao Jiao , Yu Liu , Siyu Zhang , Yirong Wu , Mixia Wang , Jinping Luo , Shi Yan , Zhimei Qi , Yilin Song , Juntao Liu , Xinxia Cai","doi":"10.1016/j.snr.2024.100274","DOIUrl":null,"url":null,"abstract":"<div><div>Spatial cognition is crucial for animal survival and reflects higher-order cognitive processes achieved through the coordination of neurons, local networks, and the brain's overall structure. Neural biosensors reliably detect signals in the brain at multiple levels, including neuronal action potentials (spikes), local field potentials (LFP), and blood-oxygen-level-dependent (BOLD) signals, which are interconnected yet distinct. These signals have significantly contributed to spatial cognition research. However, a comprehensive analysis across these levels is lacking, limiting full understanding of neural encoding and decoding mechanisms. This review introduces biosensor methods for detecting neural signals at various levels and discusses their applications in spatial cognition. It aims to inspire future research by promoting multi-modal, multi-level approaches for comprehensive decoding of neural mechanisms.</div></div>","PeriodicalId":426,"journal":{"name":"Sensors and Actuators Reports","volume":"9 ","pages":"Article 100274"},"PeriodicalIF":6.5000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666053924000900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Spatial cognition is crucial for animal survival and reflects higher-order cognitive processes achieved through the coordination of neurons, local networks, and the brain's overall structure. Neural biosensors reliably detect signals in the brain at multiple levels, including neuronal action potentials (spikes), local field potentials (LFP), and blood-oxygen-level-dependent (BOLD) signals, which are interconnected yet distinct. These signals have significantly contributed to spatial cognition research. However, a comprehensive analysis across these levels is lacking, limiting full understanding of neural encoding and decoding mechanisms. This review introduces biosensor methods for detecting neural signals at various levels and discusses their applications in spatial cognition. It aims to inspire future research by promoting multi-modal, multi-level approaches for comprehensive decoding of neural mechanisms.
期刊介绍:
Sensors and Actuators Reports is a peer-reviewed open access journal launched out from the Sensors and Actuators journal family. Sensors and Actuators Reports is dedicated to publishing new and original works in the field of all type of sensors and actuators, including bio-, chemical-, physical-, and nano- sensors and actuators, which demonstrates significant progress beyond the current state of the art. The journal regularly publishes original research papers, reviews, and short communications.
For research papers and short communications, the journal aims to publish the new and original work supported by experimental results and as such purely theoretical works are not accepted.