Accumulated Source Imaging of Brain Activity with Both Low and High-frequency Neuromagnetic Signals

Jing Xiang; Qian Luo; Rupesh Kotecha; Abraham Korman; Fawen Zhang; Huan Luo; Hisako Fujiwara; Nat Hemasilpin; Douglas F. Rose

doi:10.3389/fninf.2014.00057

Accumulated Source Imaging of Brain Activity with Both Low and High-frequency Neuromagnetic Signals

Jing Xiang, Qian Luo, Rupesh Kotecha, Abraham Korman, Fawen Zhang, Huan Luo, Hisako Fujiwara, Nat Hemasilpin, Douglas F. Rose

Miami Cancer Institute

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

Original language	American English
Journal	Frontiers in Neuroinformatics
Volume	8
DOIs	https://doi.org/10.3389/fninf.2014.00057
State	Published - May 21 2014

Disciplines

Computer Sciences
Bioinformatics
Neuroscience and Neurobiology
Communication
Artificial Intelligence and Robotics

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10.3389/fninf.2014.00057License: Unspecified

Cite this

@article{b6b1374683004fa0b34fc1b8acd1cf1c,

title = "Accumulated Source Imaging of Brain Activity with Both Low and High-frequency Neuromagnetic Signals",

author = "Jing Xiang and Qian Luo and Rupesh Kotecha and Abraham Korman and Fawen Zhang and Huan Luo and Hisako Fujiwara and Nat Hemasilpin and Rose, \{Douglas F.\}",

note = "Recent studies have revealed the importance of high-frequency brain signals (>70 Hz). One challenge of high-frequency signal analysis is that the size of time-frequency representation of high-frequency brain signals could be larger than 1 terabytes (TB), which is beyond the upper limits of a typical computer workstation's memory (<196 GB).",

year = "2014",

month = may,

day = "21",

doi = "10.3389/fninf.2014.00057",

language = "American English",

volume = "8",

journal = "Frontiers in Neuroinformatics",

}

TY - JOUR

T1 - Accumulated Source Imaging of Brain Activity with Both Low and High-frequency Neuromagnetic Signals

AU - Xiang, Jing

AU - Luo, Qian

AU - Kotecha, Rupesh

AU - Korman, Abraham

AU - Zhang, Fawen

AU - Luo, Huan

AU - Fujiwara, Hisako

AU - Hemasilpin, Nat

AU - Rose, Douglas F.

N1 - Recent studies have revealed the importance of high-frequency brain signals (>70 Hz). One challenge of high-frequency signal analysis is that the size of time-frequency representation of high-frequency brain signals could be larger than 1 terabytes (TB), which is beyond the upper limits of a typical computer workstation's memory (<196 GB).

PY - 2014/5/21

Y1 - 2014/5/21

UR - https://www.frontiersin.org/articles/10.3389/fninf.2014.00057/full

U2 - 10.3389/fninf.2014.00057

DO - 10.3389/fninf.2014.00057

M3 - Article

VL - 8

JO - Frontiers in Neuroinformatics

JF - Frontiers in Neuroinformatics

ER -

Accumulated Source Imaging of Brain Activity with Both Low and High-frequency Neuromagnetic Signals

Disciplines

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