Posterior cingulate cortex-related co-activation patterns

A resting state fMRI study in propofol-induced loss of consciousness

Enrico Amico, Francisco Gomez, Carol Di Perri, Audrey Vanhaudenhuyse, Damien Lesenfants, Pierre Boveroux, Vincent Bonhomme, Jean François Brichant, Daniele Marinazzo, Steven Laureys

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Background: Recent studies have been shown that functional connectivity of cerebral areas is not a static phenomenon, but exhibits spontaneous fluctuations over time. There is evidence that fluctuating connectivity is an intrinsic phenomenon of brain dynamics that persists during anesthesia. Lately, point process analysis applied on functional data has revealed that much of the information regarding brain connectivity is contained in a fraction of critical time points of a resting state dataset. In the present study we want to extend this methodology for the investigation of resting state fMRI spatial pattern changes during propofol-induced modulation of consciousness, with the aim of extracting new insights on brain networks consciousness-dependent fluctuations. Methods: Resting-state fMRI volumes on 18 healthy subjects were acquired in four clinical states during propofol injection: wakefulness, sedation, unconsciousness, and recovery. The dataset was reduced to a spatio-temporal point process by selecting time points in the Posterior Cingulate Cortex (PCC) at which the signal is higher than a given threshold (i.e., BOLD intensity above 1 standard deviation). Spatial clustering on the PCC time frames extracted was then performed (number of clusters = 8), to obtain 8 different PCC co-activation patterns (CAPs) for each level of consciousness. Results: The current analysis shows that the core of the PCC-CAPs throughout consciousness modulation seems to be preserved. Nonetheless, this methodology enables to differentiate region-specific propofol-induced reductions in PCC-CAPs, some of them already present in the functional connectivity literature (e.g., disconnections of the prefrontal cortex, thalamus, auditory cortex), some others new (e.g., reduced co-activation in motor cortex and visual area). Conclusion: In conclusion, our results indicate that the employed methodology can help in improving and refining the characterization of local functional changes in the brain associated to propofol-induced modulation of consciousness.

Original languageEnglish
Article numbere100012
JournalPLoS One
Volume9
Issue number6
DOIs
Publication statusPublished - Jun 30 2014

Fingerprint

Unconsciousness
Gyrus Cinguli
consciousness
Propofol
Consciousness
Brain
cortex
Chemical activation
Magnetic Resonance Imaging
Modulation
brain
Auditory Cortex
unconsciousness
Wakefulness
Refining
Motor Cortex
Prefrontal Cortex
Thalamus
thalamus
refining

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Amico, E., Gomez, F., Di Perri, C., Vanhaudenhuyse, A., Lesenfants, D., Boveroux, P., ... Laureys, S. (2014). Posterior cingulate cortex-related co-activation patterns: A resting state fMRI study in propofol-induced loss of consciousness. PLoS One, 9(6), [e100012]. https://doi.org/10.1371/journal.pone.0100012

Posterior cingulate cortex-related co-activation patterns : A resting state fMRI study in propofol-induced loss of consciousness. / Amico, Enrico; Gomez, Francisco; Di Perri, Carol; Vanhaudenhuyse, Audrey; Lesenfants, Damien; Boveroux, Pierre; Bonhomme, Vincent; Brichant, Jean François; Marinazzo, Daniele; Laureys, Steven.

In: PLoS One, Vol. 9, No. 6, e100012, 30.06.2014.

Research output: Contribution to journalArticle

Amico, E, Gomez, F, Di Perri, C, Vanhaudenhuyse, A, Lesenfants, D, Boveroux, P, Bonhomme, V, Brichant, JF, Marinazzo, D & Laureys, S 2014, 'Posterior cingulate cortex-related co-activation patterns: A resting state fMRI study in propofol-induced loss of consciousness', PLoS One, vol. 9, no. 6, e100012. https://doi.org/10.1371/journal.pone.0100012
Amico, Enrico ; Gomez, Francisco ; Di Perri, Carol ; Vanhaudenhuyse, Audrey ; Lesenfants, Damien ; Boveroux, Pierre ; Bonhomme, Vincent ; Brichant, Jean François ; Marinazzo, Daniele ; Laureys, Steven. / Posterior cingulate cortex-related co-activation patterns : A resting state fMRI study in propofol-induced loss of consciousness. In: PLoS One. 2014 ; Vol. 9, No. 6.
@article{22095ac620454e5caa30de138d7675e0,
title = "Posterior cingulate cortex-related co-activation patterns: A resting state fMRI study in propofol-induced loss of consciousness",
abstract = "Background: Recent studies have been shown that functional connectivity of cerebral areas is not a static phenomenon, but exhibits spontaneous fluctuations over time. There is evidence that fluctuating connectivity is an intrinsic phenomenon of brain dynamics that persists during anesthesia. Lately, point process analysis applied on functional data has revealed that much of the information regarding brain connectivity is contained in a fraction of critical time points of a resting state dataset. In the present study we want to extend this methodology for the investigation of resting state fMRI spatial pattern changes during propofol-induced modulation of consciousness, with the aim of extracting new insights on brain networks consciousness-dependent fluctuations. Methods: Resting-state fMRI volumes on 18 healthy subjects were acquired in four clinical states during propofol injection: wakefulness, sedation, unconsciousness, and recovery. The dataset was reduced to a spatio-temporal point process by selecting time points in the Posterior Cingulate Cortex (PCC) at which the signal is higher than a given threshold (i.e., BOLD intensity above 1 standard deviation). Spatial clustering on the PCC time frames extracted was then performed (number of clusters = 8), to obtain 8 different PCC co-activation patterns (CAPs) for each level of consciousness. Results: The current analysis shows that the core of the PCC-CAPs throughout consciousness modulation seems to be preserved. Nonetheless, this methodology enables to differentiate region-specific propofol-induced reductions in PCC-CAPs, some of them already present in the functional connectivity literature (e.g., disconnections of the prefrontal cortex, thalamus, auditory cortex), some others new (e.g., reduced co-activation in motor cortex and visual area). Conclusion: In conclusion, our results indicate that the employed methodology can help in improving and refining the characterization of local functional changes in the brain associated to propofol-induced modulation of consciousness.",
author = "Enrico Amico and Francisco Gomez and {Di Perri}, Carol and Audrey Vanhaudenhuyse and Damien Lesenfants and Pierre Boveroux and Vincent Bonhomme and Brichant, {Jean Fran{\cc}ois} and Daniele Marinazzo and Steven Laureys",
year = "2014",
month = "6",
day = "30",
doi = "10.1371/journal.pone.0100012",
language = "English",
volume = "9",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "6",

}

TY - JOUR

T1 - Posterior cingulate cortex-related co-activation patterns

T2 - A resting state fMRI study in propofol-induced loss of consciousness

AU - Amico, Enrico

AU - Gomez, Francisco

AU - Di Perri, Carol

AU - Vanhaudenhuyse, Audrey

AU - Lesenfants, Damien

AU - Boveroux, Pierre

AU - Bonhomme, Vincent

AU - Brichant, Jean François

AU - Marinazzo, Daniele

AU - Laureys, Steven

PY - 2014/6/30

Y1 - 2014/6/30

N2 - Background: Recent studies have been shown that functional connectivity of cerebral areas is not a static phenomenon, but exhibits spontaneous fluctuations over time. There is evidence that fluctuating connectivity is an intrinsic phenomenon of brain dynamics that persists during anesthesia. Lately, point process analysis applied on functional data has revealed that much of the information regarding brain connectivity is contained in a fraction of critical time points of a resting state dataset. In the present study we want to extend this methodology for the investigation of resting state fMRI spatial pattern changes during propofol-induced modulation of consciousness, with the aim of extracting new insights on brain networks consciousness-dependent fluctuations. Methods: Resting-state fMRI volumes on 18 healthy subjects were acquired in four clinical states during propofol injection: wakefulness, sedation, unconsciousness, and recovery. The dataset was reduced to a spatio-temporal point process by selecting time points in the Posterior Cingulate Cortex (PCC) at which the signal is higher than a given threshold (i.e., BOLD intensity above 1 standard deviation). Spatial clustering on the PCC time frames extracted was then performed (number of clusters = 8), to obtain 8 different PCC co-activation patterns (CAPs) for each level of consciousness. Results: The current analysis shows that the core of the PCC-CAPs throughout consciousness modulation seems to be preserved. Nonetheless, this methodology enables to differentiate region-specific propofol-induced reductions in PCC-CAPs, some of them already present in the functional connectivity literature (e.g., disconnections of the prefrontal cortex, thalamus, auditory cortex), some others new (e.g., reduced co-activation in motor cortex and visual area). Conclusion: In conclusion, our results indicate that the employed methodology can help in improving and refining the characterization of local functional changes in the brain associated to propofol-induced modulation of consciousness.

AB - Background: Recent studies have been shown that functional connectivity of cerebral areas is not a static phenomenon, but exhibits spontaneous fluctuations over time. There is evidence that fluctuating connectivity is an intrinsic phenomenon of brain dynamics that persists during anesthesia. Lately, point process analysis applied on functional data has revealed that much of the information regarding brain connectivity is contained in a fraction of critical time points of a resting state dataset. In the present study we want to extend this methodology for the investigation of resting state fMRI spatial pattern changes during propofol-induced modulation of consciousness, with the aim of extracting new insights on brain networks consciousness-dependent fluctuations. Methods: Resting-state fMRI volumes on 18 healthy subjects were acquired in four clinical states during propofol injection: wakefulness, sedation, unconsciousness, and recovery. The dataset was reduced to a spatio-temporal point process by selecting time points in the Posterior Cingulate Cortex (PCC) at which the signal is higher than a given threshold (i.e., BOLD intensity above 1 standard deviation). Spatial clustering on the PCC time frames extracted was then performed (number of clusters = 8), to obtain 8 different PCC co-activation patterns (CAPs) for each level of consciousness. Results: The current analysis shows that the core of the PCC-CAPs throughout consciousness modulation seems to be preserved. Nonetheless, this methodology enables to differentiate region-specific propofol-induced reductions in PCC-CAPs, some of them already present in the functional connectivity literature (e.g., disconnections of the prefrontal cortex, thalamus, auditory cortex), some others new (e.g., reduced co-activation in motor cortex and visual area). Conclusion: In conclusion, our results indicate that the employed methodology can help in improving and refining the characterization of local functional changes in the brain associated to propofol-induced modulation of consciousness.

UR - http://www.scopus.com/inward/record.url?scp=84903649480&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903649480&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0100012

DO - 10.1371/journal.pone.0100012

M3 - Article

VL - 9

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 6

M1 - e100012

ER -