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What is a Sparse Synapse Resolution Brain Connectivity (SSRBC) Atlas?

Why is an SSRBC Atlas Needed?

What Neuroanatomical Facts can be Derived Using an SSRBC Atlas?

Is an SSRBC Atlas Feasible?

Links to the "Extreme Neuroanatomy" Research Community

35 Steps in the Creation and Use of a Single Brain Physical Slice Library (SBPSL) (SLIDE SHOW)

What Types of Experiments can be Performed by Remote Researchers Using a SBPSL?

Slice Time vs. Imaging Time

Automated Taping Lathe-Microtome Prototype Development (SLIDE SHOW)

Movies of Lathe Microtome cutting and tape collection in action!

   20 Second *.AVI file (7 Mbytes)

   3 Minute *.AVI file (55 Mbytes)

Software Development (SLIDE SHOW)

SBPSL Proposal Paper (PDF Document)

SBPSL Full PowerPoint Presentation (Warning large file! *.ppt file is 29Mbytes)

SpinalSeries7um.zip (12 *.bmp files)

Movie: Piloting down a virtual neuron's dendritic tree using "Dendritic Explorer" test program  (49 Second *.avi file, 22 Mbytes)

Dendritic Explorer test program overview slide

Contacts

 

 

Is a Sparse Synapse-Resolution Brain Connectivity (SSRBC) Atlas Feasible?

    There is no doubt that creating a Synapse-Resolution Brain Connectivity Atlas (even a very sparse one which maps 0.01% of the volume of a mouse brain) would require a significant and difficult advancement over the current state-of-the-art atlas imaging protocols. This goal will certainly not be achieved using current, essentially manual, microtomy procedures, nor will it be achieved using the current manual TEM loading mechanisms and “by hand” photomicrograph process-tracing procedures.

    Nonetheless, we believe that the creation of a Mouse SSRBC Atlas is achievable in this decade with a moderate level of project funding using a few specialized engineering, microscopy, and neuroanatomy research laboratories (both academic and private) working in close collaboration. We speculate further that given an initial success of a mouse SSRBC Atlas, and its associated advancement of mass-scale slicing, imaging, and tracing technologies, a larger scale project aimed at creating a macaque monkey SSRBC Atlas (crucial for direct comparison with vast amounts of past and ongoing cell recording experiments) and a human SSRBC Atlas would be warranted and vigorously pursued soon thereafter.

    Our core argument for the feasibility of a SSRBC Atlas is that one has already been successfully created for the nematode worm C. Elegans. Not only has synapse-resolution electron micrographs been taken of the entire volume of this small animal, in addition this raw image data has been successfully used to determine all neurons (precisely 302 in the hermaphrodite), and virtually all chemical synapses (~5000), neuromuscular junctions (~2000) and electrical gap junctions (~600). Further, these identified neurons and synapses have allowed the determination of a set of complete circuit diagrams of all the major neuronal controlling networks in the worm. This tour de force of neuroanatomical mapping has produced the most intimate view of a complete nervous system’s structural connectivity to date, yet even this masterpiece only provides a provocative glimpse at what levels of understanding could be reached if such omniscient structural knowledge was available for an animal model more amenable to parallel electrophysiological recording experiments as would be the case for the mouse model. 

    The SSRBC Atlas for C. Elegans stands as proof that all the basic slicing, staining, imaging, and process tracing steps exist today at least in a semi-manual form. In addition, this work stands as proof that such structure-only data can be enormously useful in the elucidation of neural control mechanisms underlying behavioral responses. Other research groups have performed serial reconstruction on small volumes of neural tissue from animals as complex as mammals, and have successfully provided 3D reconstructions of intricately branched and interconnected neuropil complete with identification of synapse location and ultrastructure [Synapse Web]. 

    Importantly however, the success the synapse-resolution mapping project for C. Elegans rested heavily on the fact that C. Elegans (approximately 1mm long and 100mm in diameter) has only 1x10-5 times as much volume as a mouse brain and 1x10-8 times as much volume as a human brain. Thus the overwhelming obstacle to the creation of a mammalian SSRBC Atlas is the shear volume of slices and photomicrographs relative to previous work. After a careful review of the major manual bottlenecks in the C. Elegans atlas (and other) protocols we have identified the following as necessary (and hopefully sufficient) process changes needed to increase the effective synapse-resolution imaged volume by the several orders of magnitude needed.

Technological and Process Changes Needed to Make an SSRBC Atlas Feasible:

Only 1/10,000 of the total volume need be imaged [1] - A mammalian brain has highly repetitive neural circuitry (compared to C. Elegans) and only a tiny fraction of a mammalian brain’s neurons and connections would need to be traced in order to elucidate the full statistics of its regions, pathways, and synaptic circuits. Unfortunately, this volume is relatively evenly distributed across the brain’s total volume and so demands full-volume slicing and a sparse-directed imaging protocol.

Reduce total number of slices needing to be cut and handled by cutting thicker slices (100nm to 1mm) and imaging using electron tomography – A major hurdle to synapse-resolution imaging is the fragileness (and shear numbers) of ultrathin tissue slices. Electron tomography (often using higher voltages than standard 100kV TEM’s) tilts the tissue relative to the electron beam in order to gain information about the structures of the tissue perpendicular to the slice. This can allow 10x better z-resolution than the slice thickness, thus reducing the total number of slices. In addition, thicker slices are more robust to handling and easier to cut. 

Automate microtome slice cutting via lathe-like spiral cutting and block-face taping – Traditional microtomes disengage and reengage the block for each successive slice. A lathe-microtome can cut a continual spiral of tissue in one smooth, continuous motion. Block-face taping is a technique in microtomy in which an adhesive tape is bonded to the tissue block face before cutting. This has the effect making a thin slice as robust as a thicker slice would be, and at the same time provides a holding mechanism for the newly sliced tissue. Note: Adhesives interfere with TEM imaging so more specific modifications to standard block-face taping must be made (along with significant process development research) to make this technique viable.

Automate microtome slice retrieval by collecting cut slices on a tape during continuous cutting procedure – Standard microtomy work involves the collection of newly cut tissue slices from a water bath surrounding the knife. This is an intrinsically manual process. Using a tape (like the block-face tape above) to collect the slices nicely automates this collection process and provides a medium for tissue storage and random access imaging.

Automate TEM loading of multiple samples (and allow random access) using tape cassette of tissue slices – TEM’s are high vacuum instruments. In order to load a new sample for imaging requires the breaking of vacuum and subsequent pump-down. This is incredibly time consuming. A “tape cassette” like device can prevent the need for breaking vacuum and can allow fast random access to any slice on a single tissue tape. The tape is feed through the TEM such that it passes through the path of the electron beam.  

Use complete MRI and LM (light microscope) atlases of same brain to complement and help register TEM sparse atlas – All cell bodies and myelinated axons can be imaged directly using only a 1um resolution LM atlas. TEM imaging need only be performed on dendritic processes and axonal arbors where synapses occur. This further reduces the total amount of TEM images that must be performed to map out a particular neural circuit, and it allows the precise slice needing to be imaged to be determined in the LM atlas before TEM loading and imaging begins, obviating the need for scanning large areas in the TEM.

Use voxel-based automatic neural tracing algorithms on the LM and TEM images to preclude hand-tracing and to automatically steer TEM imaging – Automating the 3D reconstruction process is a difficult proposition and significant research has been put toward this goal in the past with some success. Automating tracing is even more important when using sparse-directed imaging since some experiments require steering the TEM imaging, in order to follow a particular neural process, without the need for human intervention. (see Types of Experiments that can be performed using a Single Brain Physical Slice Library)  

Use the Single Brain Physical Slice Library (SBPSL) paradigm to invite collaboration (and cost sharing) of neuroanatomical specialists in an online collective brain mapping experiment – A significant barrier to the successful creation and use of a mammalian SSRBC Atlas is the need for many neuroanatomical specialists (who are experts in the know neural circuitry of particular brain regions) to collaborate together in order to intelligently guide the sparse imaging process. Given the technological slicing, imaging, and tracing infrastructure described above, the whole process could be made available online for remote operation (a SBPSL). This would allow researchers with specific brain connectivity questions to logon and create batch-imaging jobs specific to their questions. The most exciting prospect is that one researcher could follow up a previous researcher’s mapping experiment by imaging and tracing processes connected to the exact same neurons as the previous study.

    In light of these new slicing, imaging, and tracing technologies, as well as the realization that sparse-directed imaging can reduce the total imaging load by many orders of magnitude, we believe that the creation of a mouse SSRBC Atlas may be feasible in the near future. Given its enormous potential to advance neuroscientific understanding, such an endeavor should certainly be looked at and considered carefully. 

[1] This estimate of 1/10,000 is by necessity very crude, but is meant to be conservative (i.e. imaging an even smaller fraction of a highly redundant mammalian brain using sparse-directed imaging should provide the statistics of all regions, pathways, and local neuronal circuits). Back-of-the-envelope calculation for a human brain:

If we assume the human brain contains on the order of 1000 distinct processing regions, and the equivalent of 100 full neurons needs to be imaged in each of these regions in order to completely determine the statistical connectivity of synaptic circuits and pathways, then only 100,000 of the human brain’s 100 billion neurons would need to be imaged in order to generate a complete neural connectivity database. Assume that the directed (process-following) imaging of a neuron is only 1% efficient (i.e. that 99% of the volume imaged while following a neural process does not belong to that neuronal process itself). This would mean that a volume equivalent of 10 million neurons would need to be imaged to complete this task. By this very crude estimate, only 0.01% of the human brain’s volume would need to be imaged. This is an approximate volume of only 140mm3 or about the size of a frog’s brain. It is this four-order-of-magnitude reduction in imaging volume that makes the prospect of mapping a human brain’s connectivity at the ultrastructure level feasible in time and cost. Similar estimates can be computed for a mouse brain with slightly reduced advantage. See Types of Experiments that can be performed using a Single Brain Physical Slice Library for fuller explanation of sparse-directed imaging protocol.

Last Updated:  11/09/2003