Whole brain cellular-level activity mapping in a second

It is now possible to map the activity of nearly all the neurons in a vertebrate brain at cellular resolution in just over a second. What does this mean for neuroscience research and projects like the Brain Activity Map proposal?

In an Article that just went live in Nature Methods, Misha Ahrens and Philipp Keller from HHMI’s Janelia Farm Research Campus used high-speed light sheet microscopy to image the activity of 80% of the neurons in the brain of a fish larva at speeds of a whole brain every 1.3 seconds. This represents—to our knowledge—the first technology that achieves whole brain imaging of a vertebrate brain at cellular resolution with speeds that approximate neural activity patterns and behavior.

Click on the image to view the video.

Brain activity imaging of a whole zebrafish brain at single-cell resolution. Click on image to view video [20 MB].

Interestingly, the paper comes out at a time when much is being discussed and written about mapping brain activity at the cellular level. This is one of the main proposals of the Brain Activity Map—a project that is being discussed at the White House and could be NIH’s next ‘big science’ project for the next 10-15 years. [Just for clarity, the authors of this work are not formally associated with the BAM proposal].

The details of BAM’s exact goals and a clear roadmap and timeline to achieve them have yet to be presented, but from what its proponents have described in a recent Science paper the main aspiration of the project is to improve our understanding of how whole neuronal circuits work at the cellular level. The project seeks to monitor the activity of whole circuits as well as manipulate them to study their functional role. To reach these goals, first and foremost one must have technology capable of measuring the activity of individual neurons throughout the entire brain in a way that can discriminate individual circuits. The most obvious way to do this is by imaging the activity as it is occurring.

With improvements in the speed and resolution of existing microscopy setups and in the probes for monitoring activity, exhaustive imaging of neuronal function across a small transparent organism was bound to be possible—as this study has now shown.

The study has also made interesting discoveries. The authors saw correlated activity patterns measured at the cellular level that spanned large areas of the brain—pointing to the existence of broadly distributed functional circuits. The next steps will be to determine the causal role that these circuits play in behavior—something that will require improvements in the methods for 3D optogenetics. Obtaining the detailed anatomical map of these circuits will also be key to understand the brain’s organization at its deepest level.

These are some of the types of experiments described in the BAM proposal and they are clearly within reach in the next 10 years–whether through a centralized initiative or through normal lab competition and peer review. While it is expected that in mice, too, functional circuits will span large brain areas, performing these types of experiments in mice will require more methodological imagination. It will not be possible to place a living mouse brain within the microscope system used by Ahrens and Keller to image the zebrafish brain. The mouse brain is significantly bigger, is largely impenetrable to visible light and is surrounded by a skull. Realistically, we may not see methods that enable whole brain activity mapping in mammals at the cellular level for quite a while.

But there is much worth learning about brain function in smaller organisms such as the zebrafish and drosophila, and microscopy systems such as this will be capable of providing important fundamental insights into brain function that are relevant to our understanding of the human brain.

Whether it will be through BAM or not, the neuroscience community has important challenges to tackle ahead. At Nature Methods, we have been actively involved in supporting technology development in the neurosciences from the very beginning and we look forward with enthusiasm to doing so during this exciting period in neuroscience research.

Update: We just published an Editorial on this topic in our May issue.

Building a better mouse test

September’s Editorial praises the new research that more genetic rodent models will enable. However, manipulating important genes in a mouse is not enough. Experimental techniques are also needed. Perhaps nowhere is this more important—and more difficult—than using animals to assess neuropsychiatric diseases. While much can be learned on the level of brain and cell physiology, behavioral tests are important to assess which aspects of physiology are most likely to matter. It’s the behavioral symptoms, not the cell-based ones, that directly affect people’s lives. How useful would a drug be if it cleared away the telltale plaques of Alzheimer’s patients but did nothing to preserve their memories?

To make the most of the ever increasing numbers of rodent genetic models, researchers will need better assays and better ways of assessing their validity for human disease.

Please share your thoughts on how best to assess whether an animal model is relevant for studying neuropsychiatric disease.

Resurgent rats

Although rats are detested, or at least tolerated, by the majority of people, some individuals find much to admire in them. Among these people are researchers who rely on the rat as an excellent animal model for biological research. The Editorial in the June issue of Nature Methods describes how genetic technologies are opening up new possibilities for research using rats and how researches could benefit by considering rats for their own study. Below is a limited selection of rat resources for those wishing to find out more about this indespensible laboratory animal.

Recent Articles

The knockout rat pack – 2010 News piece in Nature Medicine

The genome sequence of the spontaneously hypertensive rat: Analysis and functional significance – 2010 research article in Genome Research

National BioResource Project-Rat and Related Activities – 2009 Review article in Experimental Animals

Rats! – Editorial in Disease Models & Mechanisms

Return of the rat – 2009 story at Nature News

Selected Web Resources

Rat Genome Database – Repository of rat genetic and genomic data. Provides tools to search, mine, and analyze this data as well as information on genomic mapping strains and rat physiology.

Rat Resource and Research Center – Archiving and distribution of high quality, well characterized inbred, hybrid and mutant rats to investigators. [Note: A new and improved website is just weeks away.]

National BioResource Project for the Rat in Japan – Archiving and distribution of rat strains as well as phenotypic and genetic characterization of strains. All information provided in a publicly accessible database.

Rat Genome Project – Genome of the Brown Norway rat (Rattus norvegicus) produced by the Rat Genome Sequencing Consortium (RGSC).

Consortiums

EURATRANS: European large-scale functional genomics in the rat for translational research

The European Rat Tools for Functional Genomics (EURATools) consortium

Knock Out Rat Consortium (KORC)

Geneticist seeks engineer: must like flies and worms

For geneticists working on model organisms, the job is all about linking genotype and phenotype. But nowadays, these researchers are facing a historical reversal in terms of experimental limitations. As more microarrays and other genomic tools become available—and hopefully increasingly affordable—the genotyping part of the problem, which traditionally has been most time-consuming, is not that complicated anymore. The real bottleneck is now phenotyping.

In an Editorial in Nature Methods June issue, we argue that this realization should be a call to arms for engineers.

While we think there is a crucial need to mobilize engineers to help develop assays and instrumentation for high-throughput phenotyping of model organisms, this task is not without obstacles. The Editorial starts exploring ways to make this work. What do geneticists and engineers among you think?