Literature DB >> 33593730

MRI Compatible, Customizable, and 3D-Printable Microdrive for Neuroscience Research.

Eunha Baeg1,2, Raymond Doudlah3, Robert Swader4, Hyowon Lee5, Minjun Han2, Seong-Gi Kim1,2, Ari Rosenberg3, Byounghoon Kim6.   

Abstract

The effective connectivity of brain networks can be assessed using functional magnetic resonance imaging (fMRI) to quantify the effects of local electrical microstimulation (EM) on distributed neuronal activity. The delivery of EM to specific brain regions, particularly with layer specificity, requires MRI compatible equipment that provides fine control of a stimulating electrode's position within the brain while minimizing imaging artifacts. To this end, we developed a microdrive made entirely of MRI compatible materials. The microdrive uses an integrated penetration grid to guide electrodes and relies on a microdrilling technique to eliminate the need for large craniotomies, further reducing implant maintenance and image distortions. The penetration grid additionally serves as a built-in MRI marker, providing a visible fiducial reference for estimating probe trajectories. Following the initial implant procedure, these features allow for multiple electrodes to be inserted, removed, and repositioned with minimal effort, using a screw-type actuator. To validate the design of the microdrive, we conducted an EM-coupled fMRI study with a male macaque monkey. The results verified that the microdrive can be used to deliver EM during MRI procedures with minimal imaging artifacts, even within a 7 Tesla (7T) environment. Future applications of the microdrive include neuronal recordings and targeted drug delivery. We provide computer aided design (CAD) templates and a parts list for modifying and fabricating the microdrive for specific research needs. These designs provide a convenient, cost-effective approach to fabricating MRI compatible microdrives for neuroscience research.
Copyright © 2021 Baeg et al.

Entities:  

Keywords:  3D printing; MRI compatible; effective connectivity; electrical microstimulation; electrophysiology; microdrive

Mesh:

Year:  2021        PMID: 33593730      PMCID: PMC7986532          DOI: 10.1523/ENEURO.0495-20.2021

Source DB:  PubMed          Journal:  eNeuro        ISSN: 2373-2822


  45 in total

1.  A microelectrode drive for long term recording of neurons in freely moving and chaired monkeys.

Authors:  Fraser A W Wilson; Yuan-Ye Ma; Paul A Greenberg; Jae Wook Ryou; Byoung Hoon Kim
Journal:  J Neurosci Methods       Date:  2003-07-15       Impact factor: 2.390

Review 2.  Current and emerging applications of 3D printing in medicine.

Authors:  Chya-Yan Liaw; Murat Guvendiren
Journal:  Biofabrication       Date:  2017-06-07       Impact factor: 9.954

3.  One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.

Authors:  David B T McMahon; Igor V Bondar; Olusoji A T Afuwape; David C Ide; David A Leopold
Journal:  J Neurophysiol       Date:  2014-06-25       Impact factor: 2.714

4.  Effective Connectivity Reveals an Interconnected Inferotemporal Network for Three-Dimensional Structure Processing.

Authors:  Elsie Premereur; Peter Janssen
Journal:  J Neurosci       Date:  2020-10-07       Impact factor: 6.167

5.  Frequency- and State-Dependent Network Effects of Electrical Stimulation Targeting the Ventral Tegmental Area in Macaques.

Authors:  Sjoerd R Murris; John T Arsenault; Wim Vanduffel
Journal:  Cereb Cortex       Date:  2020-06-30       Impact factor: 5.357

6.  A method for localizing microelectrode trajectories in the macaque brain using MRI.

Authors:  Rishi M Kalwani; Luke Bloy; Mark A Elliott; Joshua I Gold
Journal:  J Neurosci Methods       Date:  2008-09-11       Impact factor: 2.390

7.  A Large-Scale Semi-Chronic Microdrive Recording System for Non-Human Primates.

Authors:  Nicholas M Dotson; Steven J Hoffman; Baldwin Goodell; Charles M Gray
Journal:  Neuron       Date:  2017-10-26       Impact factor: 17.173

8.  A frameless stereotaxic MRI technique for macaque neuroscience studies.

Authors:  David J Dubowitz; Miriam Scadeng
Journal:  Open Neuroimag J       Date:  2011-11-18

9.  Combinatorial Inputs to the Ventral Striatum from the Temporal Cortex, Frontal Cortex, and Amygdala: Implications for Segmenting the Striatum.

Authors:  Eun Young Choi; Song-Lin Ding; Suzanne N Haber
Journal:  eNeuro       Date:  2017-12-22
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