Literature DB >> 35705065

Enhanced magnetic transduction of neuronal activity by nanofabricated inductors quantified via finite element analysis.

Jack Phillips1,2, Mitchell Glodowski1, Yash Gokhale1, Matthew Dwyer1,3, Alireza Ashtiani1, Aviad Hai1,3,2.   

Abstract

Objective.Methods for the detection of neural signals involve a compromise between invasiveness, spatiotemporal resolution, and the number of neurons or brain regions recorded. Electrode-based probes provide excellent response but usually require transcranial wiring and capture activity from limited neuronal populations. Noninvasive methods such as electroencephalography and magnetoencephalography offer fast readouts of field potentials or biomagnetic signals, respectively, but have spatial constraints that prohibit recording from single neurons. A cell-sized device that enhances neurogenic magnetic fields can be used as anin situsensor for magnetic-based modalities and increase the ability to detect diverse signals across multiple brain regions.Approach.We designed and modeled a device capable of forming a tight electromagnetic junction with single neurons, thereby transducing changes in cellular potential to magnetic field perturbations by driving current through a nanofabricated inductor element.Main results.We present detailed quantification of the device performance using realistic finite element simulations with signals and geometries acquired from patch-clamped neuronsin vitroand demonstrate the capability of the device to produce magnetic signals readable via existing modalities. We compare the magnetic output of the device to intrinsic neuronal magnetic fields (NMFs) and show that the transduced magnetic field intensity from a single neuron is more than three-fold higher at its peak (1.62 nT vs 0.51 nT). Importantly, we report on a large spatial enhancement of the transduced magnetic field output within a typical voxel (40 × 40 × 10µm) over 250 times higher than the intrinsic NMF strength (0.64 nT vs 2.5 pT). We use this framework to perform optimizations of device performance based on nanofabrication constraints and material choices.Significance.Our quantifications institute a foundation for synthesizing and applying electromagnetic sensors for detecting brain activity and can serve as a general method for quantifying recording devices at the single cell level. Creative Commons Attribution license.

Entities:  

Keywords:  device; magnetic fields; methods; recording; signals; single neuron; transduction

Mesh:

Year:  2022        PMID: 35705065      PMCID: PMC9400688          DOI: 10.1088/1741-2552/ac7907

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.043


  43 in total

Review 1.  Signal processing in magnetoencephalography.

Authors:  J Vrba; S E Robinson
Journal:  Methods       Date:  2001-10       Impact factor: 3.608

Review 2.  What we can do and what we cannot do with fMRI.

Authors:  Nikos K Logothetis
Journal:  Nature       Date:  2008-06-12       Impact factor: 49.962

3.  Ephaptic coupling of cortical neurons.

Authors:  Costas A Anastassiou; Rodrigo Perin; Henry Markram; Christof Koch
Journal:  Nat Neurosci       Date:  2011-01-16       Impact factor: 24.884

4.  Direct MRI detection of neuronal magnetic fields in the brain: theoretical modeling.

Authors:  Yiqun Xue; Jia-Hong Gao; Jinhu Xiong
Journal:  Neuroimage       Date:  2006-02-28       Impact factor: 6.556

5.  Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.

Authors:  Saurav Z K Sajib; Munish Chauhan; Oh In Kwon; Rosalind J Sadleir
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

6.  Chip-NMR biosensor for detection and molecular analysis of cells.

Authors:  Hakho Lee; Eric Sun; Donhee Ham; Ralph Weissleder
Journal:  Nat Med       Date:  2008-07-06       Impact factor: 53.440

7.  Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo.

Authors:  Jonathan Viventi; Dae-Hyeong Kim; Leif Vigeland; Eric S Frechette; Justin A Blanco; Yun-Soung Kim; Andrew E Avrin; Vineet R Tiruvadi; Suk-Won Hwang; Ann C Vanleer; Drausin F Wulsin; Kathryn Davis; Casey E Gelber; Larry Palmer; Jan Van der Spiegel; Jian Wu; Jianliang Xiao; Yonggang Huang; Diego Contreras; John A Rogers; Brian Litt
Journal:  Nat Neurosci       Date:  2011-11-13       Impact factor: 24.884

8.  Modeling of inhomogeneous electromagnetic fields in the nervous system: a novel paradigm in understanding cell interactions, disease etiology and therapy.

Authors:  Jasmina Isakovic; Ian Dobbs-Dixon; Dipesh Chaudhury; Dinko Mitrecic
Journal:  Sci Rep       Date:  2018-08-27       Impact factor: 4.379

9.  Calcium-dependent molecular fMRI using a magnetic nanosensor.

Authors:  Satoshi Okada; Benjamin B Bartelle; Nan Li; Vincent Breton-Provencher; Jiyoung J Lee; Elisenda Rodriguez; James Melican; Mriganka Sur; Alan Jasanoff
Journal:  Nat Nanotechnol       Date:  2018-04-30       Impact factor: 39.213

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