Literature DB >> 18761038

An open-source hardware and software system for acquisition and real-time processing of electrophysiology during high field MRI.

Patrick L Purdon1, Hernan Millan, Peter L Fuller, Giorgio Bonmassar.   

Abstract

Simultaneous recording of electrophysiology and functional magnetic resonance imaging (fMRI) is a technique of growing importance in neuroscience. Rapidly evolving clinical and scientific requirements have created a need for hardware and software that can be customized for specific applications. Hardware may require customization to enable a variety of recording types (e.g., electroencephalogram, local field potentials, or multi-unit activity) while meeting the stringent and costly requirements of MRI safety and compatibility. Real-time signal processing tools are an enabling technology for studies of learning, attention, sleep, epilepsy, neurofeedback, and neuropharmacology, yet real-time signal processing tools are difficult to develop. We describe an open-source system for simultaneous electrophysiology and fMRI featuring low-noise (<0.6microV p-p input noise), electromagnetic compatibility for MRI (tested up to 7T), and user-programmable real-time signal processing. The hardware distribution provides the complete specifications required to build an MRI-compatible electrophysiological data acquisition system, including circuit schematics, print circuit board (PCB) layouts, Gerber files for PCB fabrication and robotic assembly, a bill of materials with part numbers, data sheets, and vendor information, and test procedures. The software facilitates rapid implementation of real-time signal processing algorithms. This system has been used in human EEG/fMRI studies at 3 and 7T examining the auditory system, visual system, sleep physiology, and anesthesia, as well as in intracranial electrophysiological studies of the non-human primate visual system during 3T fMRI, and in human hyperbaric physiology studies at depths of up to 300 feet below sea level.

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Year:  2008        PMID: 18761038      PMCID: PMC2855223          DOI: 10.1016/j.jneumeth.2008.07.017

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  50 in total

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Journal:  J Clin Neurophysiol       Date:  2000-01       Impact factor: 2.177

2.  Auditory processing across the sleep-wake cycle: simultaneous EEG and fMRI monitoring in humans.

Authors:  C M Portas; K Krakow; P Allen; O Josephs; J L Armony; C D Frith
Journal:  Neuron       Date:  2000-12       Impact factor: 17.173

Review 3.  Biopotentials as command and feedback signals in functional electrical stimulation systems.

Authors:  Thomas Sinkjaer; Morten Haugland; Andreas Inmann; Morten Hansen; Kim D Nielsen
Journal:  Med Eng Phys       Date:  2003-01       Impact factor: 2.242

4.  Stepping stone sampling for retrieving artifact-free electroencephalogram during functional magnetic resonance imaging.

Authors:  Kimitaka Anami; Takeyuki Mori; Fumiko Tanaka; Yusuke Kawagoe; Jun Okamoto; Masaru Yarita; Takashi Ohnishi; Masato Yumoto; Hiroshi Matsuda; Osamu Saitoh
Journal:  Neuroimage       Date:  2003-06       Impact factor: 6.556

5.  Removal of FMRI environment artifacts from EEG data using optimal basis sets.

Authors:  R K Niazy; C F Beckmann; G D Iannetti; J M Brady; S M Smith
Journal:  Neuroimage       Date:  2005-09-16       Impact factor: 6.556

6.  Eight-channel phased array coil and detunable TEM volume coil for 7 T brain imaging.

Authors:  G C Wiggins; A Potthast; C Triantafyllou; C J Wiggins; L L Wald
Journal:  Magn Reson Med       Date:  2005-07       Impact factor: 4.668

7.  Sleep staging automaton based on the theory of evidence.

Authors:  J C Principe; S K Gala; T G Chang
Journal:  IEEE Trans Biomed Eng       Date:  1989-05       Impact factor: 4.538

Review 8.  Biofeedback in rehabilitation: a review of principles and practices.

Authors:  J V Basmajian
Journal:  Arch Phys Med Rehabil       Date:  1981-10       Impact factor: 3.966

9.  Real-time display of artifact-free electroencephalography during functional magnetic resonance imaging and magnetic resonance spectroscopy in an animal model of epilepsy.

Authors:  Seyed M Mirsattari; John R Ives; Frank Bihari; L Stan Leung; Ravi S Menon; Robert Bartha
Journal:  Magn Reson Med       Date:  2005-02       Impact factor: 4.668

10.  EEG quantitation of narcotic effect: the comparative pharmacodynamics of fentanyl and alfentanil.

Authors:  J C Scott; K V Ponganis; D R Stanski
Journal:  Anesthesiology       Date:  1985-03       Impact factor: 7.892

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  6 in total

1.  Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression.

Authors:  Pavitra Krishnaswamy; Giorgio Bonmassar; Catherine Poulsen; Eric T Pierce; Patrick L Purdon; Emery N Brown
Journal:  Neuroimage       Date:  2015-07-05       Impact factor: 6.556

2.  Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality.

Authors:  Catherine Poulsen; Daniel G Wakeman; Seyed Reza Atefi; Phan Luu; Amy Konyn; Giorgio Bonmassar
Journal:  Magn Reson Med       Date:  2016-02-15       Impact factor: 4.668

3.  Unified Open Hardware Platform for Digital X-Ray Devices; its Conceptual Model and First Implementation.

Authors:  F Aytac Durmaz; Altay Brusan; Cengizhan Ozturk
Journal:  IEEE J Transl Eng Health Med       Date:  2020-06-04       Impact factor: 3.316

4.  Simultaneous electroencephalography and functional magnetic resonance imaging of general anesthesia.

Authors:  Patrick L Purdon; Eric T Pierce; Giorgio Bonmassar; John Walsh; P Grace Harrell; Jean Kwo; Daniel Deschler; Margaret Barlow; Rebecca C Merhar; Camilo Lamus; Catherine M Mullaly; Mary Sullivan; Sharon Maginnis; Debra Skoniecki; Helen-Anne Higgins; Emery N Brown
Journal:  Ann N Y Acad Sci       Date:  2009-03       Impact factor: 5.691

5.  PTFOS: flexible and absorbable intracranial electrodes for magnetic resonance imaging.

Authors:  Giorgio Bonmassar; Kyoko Fujimoto; Alexandra J Golby
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

6.  A highly versatile and easily configurable system for plant electrophysiology.

Authors:  Benet Gunsé; Charlotte Poschenrieder; Simone Rankl; Peter Schröeder; Ana Rodrigo-Moreno; Juan Barceló
Journal:  MethodsX       Date:  2016-05-25
  6 in total

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