Nano Focus

Nanotools for Neuroscience and Brain Activity Mapping

Department of Chemistry, University of California, Berkeley, California 94720, and Lawrence Berkeley Laboratory, Berkeley, California 94720-1460
California NanoSystems Institute and §Department of Psychiatry, and Semel Institute for Neuroscience & Human Behavior, Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, California 90095
Media Laboratory, Department of Biological Engineering, Brain and Cognitive Sciences, and McGovern Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
The Kavli Foundation, Oxnard, California 93030
# Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, Wyss Institute for Biologically Inspired Engineering and Biophysics Program, Harvard University, Boston, Massachusetts 02115
Howard Hughes Medical Institute and Departments of Bioengineering and Psychiatry, Stanford University, Stanford California 94305
Department of Neuroscience, Division of Engineering, Department of Computer Science, Brown University, Providence, Rhode Island 02912
Departments of Biological Sciences, Biomedical Engineering, Physiology and Biophysics, Stem Cell Biology and Regenerative Medicine, and Pediatrics, Radiology and Ophthalmology, University of Southern California, Los Angeles, California 90089
Cell Biology and Metabolism Program, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892
Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia 20147
Department of Neurobiology, University of California, Los Angeles, California 90095
Department of Physics, Laboratory of Atomic and Solid State Physics, and Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, New York 14853
Department of Physics and Division of Engineering, Brown University, Providence, Rhode Island 02912
Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, Massachusetts 02138
Howard Hughes Medical Institute and Department of Biological Sciences, Columbia University, New York, New York 10027
†† Allen Institute for Brain Science, Seattle, Washington 98103
‡‡Kavli Nanoscience Institute, §§Departments of Physics, Applied Physics, and Bioengineering, and ⊥⊥Departments of Electrical Engineering, Applied Physics, and Physics, California Institute of Technology, MC 149-33, Pasadena, California 91125
∥∥ Departments of Applied Physics and Biology, James H. Clark Center, Stanford University, Stanford, California 94305
▲▲ Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute, La Jolla, California 92037, and Division of Biological Sciences, University of California, San Diego, La Jolla, California 92093
## Department of Electrical Engineering, Columbia University, New York, New York 10027
¶¶ Division of Biology, California Institute of Technology, Pasadena, California 91125
□□ Department of Biology and Center for Complex Systems, Brandeis University, Waltham, Massachusetts 02254
■■ Department of Chemistry & Biochemistry, Department of Materials Science & Engineering, University of California, Los Angeles, California 90095
○○ School of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853
●● Kavli Institute for Brain Science, Columbia University, New York, New York 10027
△△ Howard Hughes Medical Institute, Departments of Chemistry and Chemical Biology and Physics, Harvard University, Cambridge, Massachusetts 02138
ACS Nano, 2013, 7 (3), pp 1850–1866
DOI: 10.1021/nn4012847
Publication Date (Web): March 20, 2013
Copyright © 2013 American Chemical Society

Abstract

Abstract Image

Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations in current methodologies. Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters. Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate functional states. Brains function at the nanoscale, so tools to study brains must ultimately operate at this scale, as well. Nanoscience and nanotechnology are poised to provide a rich toolkit of novel methods to explore brain function by enabling simultaneous measurement and manipulation of activity of thousands or even millions of neurons. We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. These approaches represent exciting areas of technical development and research. Moreover, unique opportunities exist for nanoscientists, nanotechnologists, and other physical scientists and engineers to contribute to tackling the challenging problems involved in understanding the fundamentals of brain function.

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Published online 20 March 2013
Published in print 26 March 2013
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