Tag: Brain Science

  • A Powerful Mouse Whole Brain Connectivity Atlas

    Figure 1. The authors hypothesize the above local circuit connections to and from the medial olfactory bulb (MOB) based on data they added to the whole brain connectivity atlas. From Figure 8 in “Comprehensive connectivity of the mouse main olfactory bulb: analysis and online digital atlas” (published August 7, 2012 in Frontiers in Neuroanatomy).

    The recent paper “Comprehensive connectivity of the mouse main olfactory bulb: analysis and online digital atlas” (published August 7, 2012 in Frontiers in Neuroanatomy) introduced the first olfactory (sense of smell) mouse brain connectivity data available as an open resource in the Mouse Connectome Project online database. And not from just any mouse, but from the C57BL/6J mouse. The C57 black 6 mouse (C57BL/6J) is the most common genetic strain of mouse used in biomedical research today.

    The Mouse Connectome Project’s publicly available whole brain connectivity atlas of the C57BL/6J mouse is being created to help provide data for generating testable ideas (hypotheses) about local brain circuits, brain function, behavior, and disease. The project provides data through the following link: http://www.mouseconnectome.org/iConnectome (see Figure 2 below).

    Figure 2. This webpage is the access point to the Mouse Connectome Project’s data repository. The page lists the data and data characteristics which are viewed through the iConnectome Viewer (see text below).

    There is no direct access to the raw data that I can find. Instead a tool named the iConnectome Viewer is provided. The user selects the data set they want to work with by checking the check box in the left-most column titled “Show” and then clicking on the “VIEW” button above.

    The paper includes several figures that display data which lead the authors to hypothesize connections to and from the medial olfactory bulb (MOB) shown above in Figure 1. The beauty of shared data access begins to become apparent on noticing the case numbers referencing the data included in each figure caption.

    Case numbers are listed in the Mouse Connectome Project data repository webpage in the column next to Show (see Figure 2 above). Type a case number into the Search box (under the “REFRESH” button at the far right and at the same level as the “VIEW” button) and the case list shrinks. I typed in case SW110403-01A from the paper’s Figure 7E-H into the search box, checked the check box next to the case number, and then clicked the “VIEW” button. An impressive looking viewer appeared, as shown in Figure 3 below.

    Figure 3. The iConnectome Viewer displays the data contained in the Mouse Connectome Project’s whole brain connectivity atlas.

    There are five main areas of the iConnectome Viewer. The navigation controls are grouped in upper left hand area. This area provides controls for zooming, panning, and refreshing the selected viewport (the viewer opens with one viewport but it may show up to four viewports at a time). Most navigation functions may also be accomplished through double-clicking, dragging, and other interface gestures. There is also a thumbnail view of the section in the currently selected viewport shown here. There is one set of navigation controls for all open viewports.

    The data set and layer controls appear in the upper right portion of each open viewport. The case number of the data displayed in the viewport is displayed above a list of data types that may be layered one upon the other. The base layer that displays a standard Nissl stained section is selected by default. Above the base layer is the atlas layer which shows the appropriate section and data from the Allen Reference Atlas (ARA). The Allen Reference Atlas has become the standard high-resolution anatomic reference atlas accompanied by a systematic, hierarchically organized taxonomy of mouse brain structures created by the Allen Institute for Brain Science. The other layers are for each type of label used in the case study. A lot of important information for each section is displayed when you mouse over the blue information button “i” to the left of the case study number including the section coordinates.

    The section controls are grouped along the bottom of the iConnectome Viewer. The sagittal view of the brain at bottom left has a yellow vertical bar you may drag right and left to show sections from different coronal planes. The data layer buttons above the brain are the same as the data layers provided in each viewport. To the right is an array of coronal sections with the particular section you selected using the vertical bar shown with a yellow outline. You may click on a different coronal section and it will be outlined in yellow and the yellow vertical bar in the sagittal section at left will reposition appropriately.

    The viewport and menu tool bar display along the top of the iConnectome Viewer. At left, above the navigation controls, are the buttons that control the layout of the viewports. From left to right they are the single, double, 2×2, and tab viewport layout. The button to the right of the four viewport buttons is very important. It’s the synchronize viewports button. When synchronize is activated, any navigation action performed in one viewport is mirrored in the others.

    Figure 4. The Mouse Connectome Project’s data repository paired with the iConnectome Viewer provide a powerful mouse brain atlas for the 21st century.

    It’s time for you to take a test drive.

    • Click on the Dual View button in the viewport tool bar at top left.
    • Now click on the Link Viewports button.
    • Move the vertical yellow line to the right in the sagittal brain section at bottom left. The sections in the left and right viewports synchronize. In fact, they’re exactly the same because the data layers are both set to base.
    • To make this more interesting, in the right viewport click on the base button in the data set and layer controls area. The section should disappear.
    • Click on the atlas button. Now the right viewport should display the exact same part of the brain displayed in the left viewport except the section at right is from the Allen Reference Atlas and it includes a diagram with structure names.
    • Zoom in to take a closer look by double clicking in the viewport or by using the slider in the navigation area.
    • Make this even more interesting by selecting the fg (Fluorogold) data set in the left viewport.

    Your iConnectome Viewer should look similar to the one pictured in Figure 4 above. The Mouse Connectome Project’s whole brain connectivity atlas and iConnectome Viewer combine to provide a powerful mouse brain atlas for the 21st century. The main shortfall that I see is the apparent inability for public access of the raw data in the repository. Access to the raw data is essential for investigators to be able to go beyond the atlas and to using machine processing to quantitatively analyze mouse brain connectivity.

  • Understanding How the Brain is Wired Using Graph Theory

    Figure 1. The graphs show the balance between path length economy (y-axis) and wire length economy (x-axis) in cerebral cortical spiny cells (left) and basket cells (right). Full path length optimization results in the star tree morphology (bright green). Full wire length optimization results in the minimal spanning tree morphology (blue). Reconstructed axons were found to have a bias towards wire length optimization (red). From Figure 4 in “Communication and wiring in the cortical connectome” (published October 16, 2012 in Frontiers in Neuroanatomy).

    Understanding how the brain is wired is fundamental to understanding how the brain works. Graph Theory, used extensively in analyses of computer network related data, is one of the more recent mathematical tools applied to trying to understand how the brain is wired.

    A paper published last month asks if brain wiring is optimized to balance the amount of material used to create a biological “wire” and the time it takes for a signal to go from one place to another. The authors of “Communication and wiring in the cortical connectome” (published October 16, 2012 in Frontiers in Neuroanatomy) apply graph theory to answer the question.

    The authors address three different levels of structural brain organization:

    • the single cell
    • the local neural circuit
    • fiber tracts connecting cortical regions

    The authors found that sufficient quantitative neuron morphology data and inter-regional cerebral cortical connectivity data exist to provide insight at these levels. However, they found that quantitative data were severely lacking for local cortical neuron circuits and they were unable to provide insight using their graph theory techniques at this level.

    The investigation pointed to an optimization between the path length from one node to another and the length of the wire between the two nodes. There seems to be a bias towards wire length optimization (see Figure 1 above). These data suggest that recently developed tracing techniques (see Other related blog posts below) may provide the morphologically detailed data that will enable the discovery of general principles behind how the brain is wired.


    Other related blog posts:

    Peering into the Structure and Function of Brain Micro-Circuitry

    The Connectome: Automated Submicron Reconstruction of Brain Circuitry

    The Connectome: Video Journey Through Brain Microcircuitry

  • Aircraft that Flap their Wings: Hardware Inspired by Biology

    The Nano Hummingbird built by Aerovironment Inc.

    Recently there has been an outpouring of bio-mimetic flying devices (hardware mimicking bird, insect, and the flight of other living systems). Here are two examples shown in video. The device above was inspired by hummingbirds and the one below by seagulls.

    The SmartBird inspired by seagulls and built by Festo.

    We should expect some unprecedented autonomous machines as these kinds of bio-mimetic hardware are combined with control systems inspired by how the nervous system works.