Nanotechnology for Neuroscience: Promising Approaches for Diagnostics, Therapeutics and Brain Activity Mapping-Reference-Cited by-同舟云学术

Nanotechnology for Neuroscience: Promising Approaches for Diagnostics, Therapeutics and Brain Activity Mapping

Published:2017-08-14 Issue:39 Volume:27 Page:1700489
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv. Funct. Mater.

Author:

Kumar Anil¹²³,Tan Aaron⁴⁵,Wong Joanna⁶,Spagnoli Jonathan Clayton²,Lam James⁴⁷,Blevins Brianna Diane²,G Natasha⁴,Thorne Lewis⁸,Ashkan Keyoumars⁹,Xie Jin²,Liu Hong¹³

Affiliation:

1. State Key Laboratory of Crystal Materials; Shandong University; Jinan 250100 China

2. Department of Chemistry; Bio-Imaging Research Center; University of Georgia; Athens Georgia 30602 United States

3. Beijing Institute of Nanoenergy and Nanosystems; Chinese Academy of Sciences; Beijing China

4. UCL Medical School; University College London (UCL); London United Kingdom

5. Biomaterials and Advanced Drug Delivery Laboratory (BioADD); Stanford University School of Medicine; Stanford University; Palo Alto California United States

6. Imperial College School of Medicine; Imperial College London; London United Kingdom

7. Queens' College; University of Cambridge; Cambridge United Kingdom

8. Department of Neurosurgery; National Hospital for Neurology and Neurosurgery; Queen Square London United Kingdom

9. Department of Neurosurgery; King's College Hospital NHS Foundation Trust; King's College London; London United Kingdom

Funder

National Natural Science Foundation of China

Fundamental Research Funds of Shandong University

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference280 articles.

1. The Brain Activity Map Project and the Challenge of Functional Connectomics

2. From the connectome to brain function

3. Neuroscience nanotechnology: progress, opportunities and challenges

4. Nanotools for Neuroscience and Brain Activity Mapping

5. Exploring the network dynamics underlying brain activity during rest

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