Brain Movies
Brain Movies - Related Videos
14:21
Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
0 Views •
Cited by 15 •
2013
We present a novel PET imaging approach for capturing dopamine fluctuations induced by cigarette smoking. Subjects smoke in the PET scanner. Dynamic PET images are modeled voxel-by-voxel in time by lp-ntPET, which includes a time-varying dopamine term. The results are 'movies' of dopamine fluctuations in the striatum during smoking.
17:01
Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
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Cited by 4 •
2013
We present a simple protocol to obtain fluorescence microscopy movies of growing yeast cells, and a GUI-based software package to extract single-cell time series data. The analysis includes automated lineage and division time assignment integrated with visual inspection and manual curation of tracked data.
09:03
Post-Movie Subliminal Measurement (PMSM), for Investigating Implicit Social Bias
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2020
This protocol describes the use of movies to investigate brain mechanisms underlying implicit social biases during functional magnetic resonance imaging. When the face of a protagonist is presented after a movie subliminally, it evokes an implicit response based on knowledge of the protagonist gained during the movie.
17:41
Focal Ca2+ Transient Detection in Smooth Muscle
0 Views •
2009
Details methods for high-resolution Ca2+ imaging of smooth muscle within isolated organs, including: preparation of the tissue, image acquisition and data analysis.
06:28
Isolating Immune Cells from Mouse Brain and Skull
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Cited by 1 •
2024
To investigate the immune response to brain disorders, one common approach is to analyze changes in immune cells. Here, two simple and effective protocols are provided for isolating immune cells from murine brain tissue and skull bone marrow.
FAQs
They organize several dimensions of neural information into a time-resolved visual sequence. Changes across time can be shown through motion, locations can preserve anatomical relationships, and signal differences can be represented with color. This arrangement helps viewers compare neural patterns and follow relationships that may be difficult to recognize when the same data are presented separately or as static measurements.
Each visual feature can communicate a different property of the data. Color can distinguish signal values or experimental conditions, motion can show change over time, and spatial mapping can connect activity with anatomical location. Used together, these features allow a Brain Movie to preserve both when a neural event occurs and where it occurs within a brain system.
Different source types contribute complementary views of neural organization and activity. Neuroimaging can provide mapped information across brain regions, microscopy can reveal neural structures, and electrophysiological recordings can represent neural signals. A Brain Movie may combine these sources or use computer-generated animation to present relationships among anatomy, activity, and time in a common visual framework.
Time-resolved visualization allows researchers to follow changing relationships among brain regions or neural systems. By comparing activity patterns as they develop, they can examine functional connectivity and observe neural dynamics rather than relying only on isolated measurements. The same approach can also support comparisons involving development, stimulation, or disease when those conditions are represented in the underlying data.
A practical workflow begins by selecting the relevant structural or activity data and identifying the dimensions that must remain visible, such as time, location, or experimental condition. The data can then be organized into a spatial map and translated into visual changes using color, motion, or animation. The resulting sequence is reviewed to support comparison and interpretation.
They are particularly useful when a dataset contains changing signals, multiple brain locations, or relationships between structure and activity. Students can use the visual sequence to interpret neural processes, while researchers can use it to discuss functional connectivity, development, stimulation responses, or disease-related changes. Brain Movies also help collaborators from different disciplines share a common view of complex results.