Connectomics Research
Connectomics Research - Related Videos
09:40
A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping
0 Views •
2026
We introduced a novel imaging technique called Optical Multilayer Interference Tomography (OMLIT), which enables unbiased imaging of all cells in brain specimens at the mesoscale and can be seamlessly integrated into the imaging workflow of tape-based serial scanning electron microscopy on the same sample.
08:04
Cytotoxic Efficacy of Photodynamic Therapy in Osteosarcoma Cells In Vitro
0 Views •
Cited by 8 •
2014
The protocol reported here allows the evaluation of the efficacy of photodynamic therapy (PDT) in cell lines and the optimization of the PDT settings before applying the therapy in animal models.
16:23
Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
0 Views •
Cited by 32 •
2017
The purpose of this study is to show each step of the fiber dissection technique on human cadaveric brains, the 3D documentation of these dissections, and the diffusion tensor imaging of the anatomically dissected fiber pathways.
10:01
Structure-Guided Design and Development of Novel Cyclophilin A Inhibitors and Ganoderiol-F Derivatives: An In-Silico Approach
0 Views •
2026
Here, we present a protocol for the structure-guided design of protein-ligand binding interaction between Sanglifehrin A and Cyclophilin A/Ganoderiol-F, essential in discovering new drugs. The stability of the ligand-receptor complex was evaluated using molecular dynamics simulation.
10:45
Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
0 Views •
Cited by 40 •
2017
This manuscript details the fabrication of micro-tissue engineered neural networks: three-dimensional micron-sized constructs comprised of long aligned axonal tracts spanning aggregated neuronal population(s) encased in a tubular hydrogel. These living scaffolds can serve as functional relays to reconstruct or modulate neural circuitry or as biofidelic test-beds mimicking gray-white matter neuroanatomy.
FAQs
Connectomics Research links circuit architecture with functional questions by examining how connections among neurons and brain regions may support perception, behavior, and learning. Analyses can focus on individual cells, local circuits, or whole-brain networks, allowing scientists to compare organization across scales. This multiscale perspective helps generate testable models rather than treating brain activity as independent from anatomical structure.
Different scales reveal different features of neural organization. Individual-cell analyses can clarify neuronal wiring and synaptic relationships, whereas regional and whole-brain network analyses show how larger pathways are organized. Combining these levels helps researchers connect detailed circuit structure with broader brain functions and prevents conclusions about local connections from being separated entirely from systems-level organization.
Comparing connectivity across development, species, or neurological conditions can expose stable organizational features as well as altered circuits. Developmental comparisons address how wiring changes over time, while species comparisons identify similarities and differences in brain organization. Disease-related comparisons can highlight disrupted pathways, providing evidence for models that connect circuit changes with neurological symptoms or altered function.
The work combines anatomical methods, imaging, and computational analysis. Anatomical approaches contribute information about physical organization, imaging captures connectivity-related structures, and computational methods organize, quantify, and analyze the resulting data. Used together, these approaches support tracing neural pathways, assessing synapses, and representing connections as networks at scales ranging from single cells to entire brains.
A connectomics dataset can describe which neurons or brain regions are connected, how pathways are arranged, and how synaptic relationships are distributed. When organized computationally, these observations become network representations that can be examined across scales or compared between groups. The resulting patterns provide structural evidence for interpreting perception, behavior, learning, development, and neurological disease.
It is especially useful when researchers need to relate circuit organization to a biological function or condition. Studies may examine how network architecture supports perception, behavior, or learning, or investigate whether neurological disease disrupts particular circuits. The approach also supports cross-species and developmental comparisons, helping researchers formulate and test explanations for how brain wiring contributes to function.