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Molecular tools for recording and intervention of neuronal activity.
Eom, Kisang; Jung, Jinhwan; Kim, Byungsoo; Hyun, Jung Ho.
Affiliation
  • Eom K; Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
  • Jung J; Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
  • Kim B; Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
  • Hyun JH; Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea; Center for Synapse Diversity and Specificity, DGIST, Daegu 42988, Republic of Korea. Electronic address: jungho.hyun@dgist.ac.kr.
Mol Cells ; 47(4): 100048, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38521352
ABSTRACT
Observing the activity of neural networks is critical for the identification of learning and memory processes, as well as abnormal activities of neural circuits in disease, particularly for the purpose of tracking disease progression. Methodologies for describing the activity history of neural networks using molecular biology techniques first utilized genes expressed by active neurons, followed by the application of recently developed techniques including optogenetics and incorporation of insights garnered from other disciplines, including chemistry and physics. In this review, we will discuss ways in which molecular biological techniques used to describe the activity of neural networks have evolved along with the potential for future development.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Optogenetics / Neurons Limits: Animals / Humans Language: En Journal: Mol Cells Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Optogenetics / Neurons Limits: Animals / Humans Language: En Journal: Mol Cells Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article