TY - GEN
T1 - Dynamic Whole Brain Polarity Regimes Strongly Distinguish Controls from Schizophrenia Patients
AU - Miller, Robyn L.
AU - Calhoun, Vince D.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/31
Y1 - 2018/7/31
N2 - From a large clinical blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) study, we report several interrelated findings involving transient supra-network brainwide states (dynamic polarity regimes (dPRs)) of fMRI activation in which large proportions of voxels are simultaneously exhibiting intensities in the upper third or simultaneously exhibiting intensities in the lower third of their own activation profiles. The presence of highly polarized states, those in which many voxels are simultaneously at the high or low end of their own activation profiles, is shown to be significantly anti-correlated with diagnosed schizophrenia and significantly correlated with transient patterns of both strongly modularized network connectivity and diffuse hyperconnectivity between functional brain networks on multiple timescales. Conversely, the weak under-modularized network connectivity and the inhibitory connections between default mode (DMN) and other networks characteristic of schizophrenia patients correlates significantly with non-polarized, more heterogeneous brainwide voxel activation levels. Moreover, the spatial distribution of voxels most likely to contribute to highly polarized states (polarity participation maps (PPMs)) also differ with a high degree of statistical significance between schizophrenia patients and healthy controls. Our findings highlight a particular whole-brain spatiotemporal BOLD activation phenomenon that underpins distinct network connectivity pathologies associated with a serious clinical disorder.
AB - From a large clinical blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) study, we report several interrelated findings involving transient supra-network brainwide states (dynamic polarity regimes (dPRs)) of fMRI activation in which large proportions of voxels are simultaneously exhibiting intensities in the upper third or simultaneously exhibiting intensities in the lower third of their own activation profiles. The presence of highly polarized states, those in which many voxels are simultaneously at the high or low end of their own activation profiles, is shown to be significantly anti-correlated with diagnosed schizophrenia and significantly correlated with transient patterns of both strongly modularized network connectivity and diffuse hyperconnectivity between functional brain networks on multiple timescales. Conversely, the weak under-modularized network connectivity and the inhibitory connections between default mode (DMN) and other networks characteristic of schizophrenia patients correlates significantly with non-polarized, more heterogeneous brainwide voxel activation levels. Moreover, the spatial distribution of voxels most likely to contribute to highly polarized states (polarity participation maps (PPMs)) also differ with a high degree of statistical significance between schizophrenia patients and healthy controls. Our findings highlight a particular whole-brain spatiotemporal BOLD activation phenomenon that underpins distinct network connectivity pathologies associated with a serious clinical disorder.
KW - dynamic network connectivity
KW - fMRI
KW - schizophrenia
KW - spatial dynamics
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U2 - 10.1109/PRNI.2018.8423965
DO - 10.1109/PRNI.2018.8423965
M3 - Conference contribution
AN - SCOPUS:85051453956
SN - 9781538668597
T3 - 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018
BT - 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018
Y2 - 12 June 2018 through 14 June 2018
ER -