A Real-Time Functional Magnetic Resonance Imaging (fMRI) Neurofeedback System

Jason G. Parker; Matthew Sherwood; Jessica Kane

doi:10.3182/20130811-5-US-2037.00078

A Real-Time Functional Magnetic Resonance Imaging (fMRI) Neurofeedback System

Jason G. Parker, Matthew Sherwood, Jessica Kane

Wright State University

Research output: Contribution to journal › Article › peer-review

Abstract

In order to implement brain-computer interfaces (BCIs), the individual must be able to volitionally control brain function: a skill that can only be achieved through specialized training. Currently, this training is time-consuming and produces unreliable results. It is necessary to first understand the underlying neural mechanisms associated with this skill to develop effective, dependable training techniques. A real-time functional Magnetic Resonance Imaging (rtfMRI) system has been developed to research volitional control over neural activity and interpret the neural changes associated with increases in this skill. The developed system enables additional research such as the study of neuroplasticity and neural networks.

Original language	American English
Journal	IFAC Proceedings
Volume	12
DOIs	https://doi.org/10.3182/20130811-5-US-2037.00078
State	Published - Aug 1 2013

Keywords

Human Computer Interaction
Human Machine Systems

Disciplines

Biomedical Devices and Instrumentation
Biomedical Engineering and Bioengineering
Engineering

Access to Document

10.3182/20130811-5-US-2037.00078License: Unspecified

Cite this

@article{4a2112a7dd86462d9ba74b200cf619c4,

title = "A Real-Time Functional Magnetic Resonance Imaging (fMRI) Neurofeedback System",

abstract = " In order to implement brain-computer interfaces (BCIs), the individual must be able to volitionally control brain function: a skill that can only be achieved through specialized training. Currently, this training is time-consuming and produces unreliable results. It is necessary to first understand the underlying neural mechanisms associated with this skill to develop effective, dependable training techniques. A real-time functional Magnetic Resonance Imaging (rtfMRI) system has been developed to research volitional control over neural activity and interpret the neural changes associated with increases in this skill. The developed system enables additional research such as the study of neuroplasticity and neural networks.",

keywords = "Human Computer Interaction, Human Machine Systems",

author = "Parker, {Jason G.} and Matthew Sherwood and Jessica Kane",

year = "2013",

month = aug,

day = "1",

doi = "10.3182/20130811-5-US-2037.00078",

language = "American English",

volume = "12",

journal = "IFAC Proceedings",

}

TY - JOUR

T1 - A Real-Time Functional Magnetic Resonance Imaging (fMRI) Neurofeedback System

AU - Parker, Jason G.

AU - Sherwood, Matthew

AU - Kane, Jessica

PY - 2013/8/1

Y1 - 2013/8/1

N2 - In order to implement brain-computer interfaces (BCIs), the individual must be able to volitionally control brain function: a skill that can only be achieved through specialized training. Currently, this training is time-consuming and produces unreliable results. It is necessary to first understand the underlying neural mechanisms associated with this skill to develop effective, dependable training techniques. A real-time functional Magnetic Resonance Imaging (rtfMRI) system has been developed to research volitional control over neural activity and interpret the neural changes associated with increases in this skill. The developed system enables additional research such as the study of neuroplasticity and neural networks.

AB - In order to implement brain-computer interfaces (BCIs), the individual must be able to volitionally control brain function: a skill that can only be achieved through specialized training. Currently, this training is time-consuming and produces unreliable results. It is necessary to first understand the underlying neural mechanisms associated with this skill to develop effective, dependable training techniques. A real-time functional Magnetic Resonance Imaging (rtfMRI) system has been developed to research volitional control over neural activity and interpret the neural changes associated with increases in this skill. The developed system enables additional research such as the study of neuroplasticity and neural networks.

KW - Human Computer Interaction

KW - Human Machine Systems

UR - https://corescholar.libraries.wright.edu/wsri/9

U2 - 10.3182/20130811-5-US-2037.00078

DO - 10.3182/20130811-5-US-2037.00078

M3 - Article

VL - 12

JO - IFAC Proceedings

JF - IFAC Proceedings

ER -

A Real-Time Functional Magnetic Resonance Imaging (fMRI) Neurofeedback System

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Cite this