Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation

Sung Min Park; Tessa G. George; Chloe M. Sobolewski; Sophia R. McMorrow; Dalin Yang; Mary B. Nebel; Bahar Tunçgenç; René Vidal; Natasha Marrus; Stewart H. Mostofsky; Adam T. Eggebrecht

Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation

Sung Min Park, Tessa G. George, Chloe M. Sobolewski, Sophia R. McMorrow, Dalin Yang, Mary B. Nebel, Bahar Tunçgenç, René Vidal, Natasha Marrus, Stewart H. Mostofsky, Adam T. Eggebrecht

Research output: Contribution to conference › Paper › peer-review

Abstract

High-density diffuse optical tomography data was collected to assess neural activity during motor imitation. Independent component analysis revealed components exhibiting differential activity during observation and imitation. Changes in task-relatedness in components correlate with behavioral measures.

Original language	English
State	Published - 2023
Event	2023 Laser Science, LS 2023 - Tacoma, United States Duration: Oct 9 2023 → Oct 12 2023

Conference

Conference	2023 Laser Science, LS 2023
Country/Territory	United States
City	Tacoma
Period	10/9/23 → 10/12/23

Cite this

Park, S. M., George, T. G., Sobolewski, C. M., McMorrow, S. R., Yang, D., Nebel, M. B., Tunçgenç, B., Vidal, R., Marrus, N., Mostofsky, S. H., & Eggebrecht, A. T. (2023). Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation. Paper presented at 2023 Laser Science, LS 2023, Tacoma, United States.

@conference{52990411540346dcb744e3207f59761b,

title = "Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation",

abstract = "High-density diffuse optical tomography data was collected to assess neural activity during motor imitation. Independent component analysis revealed components exhibiting differential activity during observation and imitation. Changes in task-relatedness in components correlate with behavioral measures.",

author = "Park, \{Sung Min\} and George, \{Tessa G.\} and Sobolewski, \{Chloe M.\} and McMorrow, \{Sophia R.\} and Dalin Yang and Nebel, \{Mary B.\} and Bahar Tun{\c c}gen{\c c} and Ren{\'e} Vidal and Natasha Marrus and Mostofsky, \{Stewart H.\} and Eggebrecht, \{Adam T.\}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); 2023 Laser Science, LS 2023 ; Conference date: 09-10-2023 Through 12-10-2023",

year = "2023",

language = "English",

}

Park, SM, George, TG, Sobolewski, CM, McMorrow, SR, Yang, D, Nebel, MB, Tunçgenç, B, Vidal, R, Marrus, N, Mostofsky, SH & Eggebrecht, AT 2023, 'Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation', Paper presented at 2023 Laser Science, LS 2023, Tacoma, United States, 10/9/23 - 10/12/23.

Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation. / Park, Sung Min; George, Tessa G.; Sobolewski, Chloe M. et al.
2023. Paper presented at 2023 Laser Science, LS 2023, Tacoma, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation

AU - Park, Sung Min

AU - George, Tessa G.

AU - Sobolewski, Chloe M.

AU - McMorrow, Sophia R.

AU - Yang, Dalin

AU - Nebel, Mary B.

AU - Tunçgenç, Bahar

AU - Vidal, René

AU - Marrus, Natasha

AU - Mostofsky, Stewart H.

AU - Eggebrecht, Adam T.

PY - 2023

Y1 - 2023

N2 - High-density diffuse optical tomography data was collected to assess neural activity during motor imitation. Independent component analysis revealed components exhibiting differential activity during observation and imitation. Changes in task-relatedness in components correlate with behavioral measures.

AB - High-density diffuse optical tomography data was collected to assess neural activity during motor imitation. Independent component analysis revealed components exhibiting differential activity during observation and imitation. Changes in task-relatedness in components correlate with behavioral measures.

UR - https://www.scopus.com/pages/publications/85215523723

M3 - Paper

AN - SCOPUS:85215523723

T2 - 2023 Laser Science, LS 2023

Y2 - 9 October 2023 through 12 October 2023

ER -

Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation

Abstract

Conference

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