Proof of concept Electrical Impedance Tomography (EIT) in rat sciatic nerve validated with histology data
Study Purpose: Understanding the coding of neural activity in nerve fascicles is a high priority in computational neuroscience, electroceutical autonomic nerve stimulation and functional electrical stimulation for treatment of paraplegia. Unfortunately, it has been little studied as no technique has yet been available to permit imaging of neuronal depolarization within fascicles in peripheral nerve. We report a novel method for achieving this, using a flexible cylindrical multi-electrode cuff placed around nerve and the new medical imaging technique of fast neural Electrical Impedance Tomography (EIT).
Data Collected: With this method, a temporal resolution of 0.3 ms and spatial resolution of less than 100 µm was achieved. The data set contains 115GB of raw recordings across all animals used in the study. Total of 3 animals, 8 recording EIT sessions each (4 tibial, marked T, and 4 peroneal, marked P).
Primary Conclusion: In rat sciatic nerve, it was possible to distinguish separate fascicles activated in response to direct electrical stimulation of the posterior tibial and common peroneal nerves. Reconstructed EIT images of fascicular activation corresponded with high spatial accuracy to the appropriate fascicles apparent in histology, as well as the inverse source analysis (ISA) of compound action potentials (CAP). The method presented here is a potential solution for imaging activity within peripheral nerves with high spatial accuracy. It also provides a basis for imaging and selective neuromodulation to be incorporated in a single implantable non-penetrating peri-neural device.
Experimental design: All three rats were subject to 8 sessions of stimulation and then were sacrificed for histological determination. Histology is not present in this proof of principle dataset.
Completeness: This dataset is part of a larger study, called "Imaging fast neural traffic at fascicular level with electrical impedance tomography". Related datasets are available.
Subjects & Samples: Three male Sprague-Dawley rats 12-15 months of age
Primary vs derivative data: The dataset contains raw binary eeg files, MATLAB files and text files for each subject. The raw eeg files can be read with the Brain Vision system.
Important notes: The protocol for this study is exceptionally informative and complete. As this is a proof of principle, the protocol is the most important portion of this dataset.
The paper published here, Kirill Aristovich et al 2018 J. Neural Eng. 15 056025, contains these subjects and five additional subjects.
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