ReviewACS nano2013
Nanotools for neuroscience and brain activity mapping.
Review in ACS nano, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
122 citing papers in PubMed.
- Ethical Precision in Nanoscale Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine Learning for Neurotransmitter Monitoring by Fast Voltammetry: Current and Future Prospects.ACS chemical neuroscience · 2026Review
- An Implantable, Ultralow Distortion Bioelectronic Interface Integrating Light-Emitting Diodes and Graphene Field-Effect Transistors.ACS nano · 2025Article
- Integrating multimodal data to understand cortical circuit architecture and function.Nature neuroscience · 2025Review
- Review
- Nanographene-Based Polymeric Nanoparticles as Near-Infrared Emissive Neuronal Tracers.ACS nano · 2024Article
- Optical Approaches for Investigating Neuromodulation and G Protein-Coupled Receptor Signaling.Pharmacological reviews · 2023Review
- Advocating for neurodata privacy and neurotechnology regulation.Nature protocols · 2023Review
- Diversity of dynamic voltage patterns in neuronal dendrites revealed by nanopipette electrophysiology.Nanoscale · 2023Article
- Technology Roadmap for Flexible Sensors.ACS nano · 2023Review
- Article
- Nano- and Microsensors for In Vivo Real-Time Electrochemical Analysis: Present and Future Perspectives.Nanomaterials (Basel, Switzerland) · 2022Review
- Epitaxial Self-Assembly of Interfaces of 2D Metal-Organic Frameworks for Electroanalytical Detection of Neurotransmitters.ACS nano · 2022Article
- New Era of Electroceuticals: Clinically Driven Smart Implantable Electronic Devices Moving towards Precision Therapy.Micromachines · 2022Review
- Implantable aptamer-field-effect transistor neuroprobes for in vivo neurotransmitter monitoring.Science advances · 2021Article
- FARCI: Fast and Robust Connectome Inference.Brain sciences · 2021Article
- Framework for automated sorting of neural spikes from Neuralynx-acquired tetrode recordings in freely-moving mice.Bioelectronic medicine · 2021Article
- Time for NanoNeuro.Nature methods · 2021Review
- Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression.Analytical and bioanalytical chemistry · 2021Article
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
62 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.