@article{784506f83327475281f9325f9675ba29,
title = "Relationship between MEG global dynamic functional network connectivity measures and symptoms in schizophrenia",
abstract = "An investigation of differences in dynamic functional network connectivity (dFNC) of healthy controls (HC) versus that of schizophrenia patients (SP) was completed, using eyes-open resting state MEG data. The MEG analysis utilized a source-space activity estimate (MNE/dSPM) whose result was the input to a group spatial independent component analysis (ICA), on which the networks of our MEG dFNC analysis were based. We have previously reported that our MEG dFNC revealed that SP change between brain meta-states (repeating patterns of network correlations which are allowed to overlap in time) significantly more often and to states which are more different, relative to HC. Here, we extend our previous work to investigate the relationship between symptomology in SP and four meta-state metrics. We found a significant correlation between positive symptoms and the two meta-state metrics which showed significant differences between HC and SP. These two statistics quantified 1) how often individuals change state and 2) the total distance traveled within the state-space. We additionally found that a clustering of the meta-state metrics divides SP into groups which vary in symptomology. These results indicate specific relationships between symptomology and brain function for SP.",
keywords = "Functional connectivity, Magnetoencephalography, Resting state, Schizophrenia",
author = "L. Sanfratello and Houck, {J. M.} and Calhoun, {V. D.}",
note = "Funding Information: This work was supported by the National Institute on General Medical Sciences of the National Institutes of Health (grant number P20GM103472); National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health (grant number K01AA021431); and National Institute of Biomedical Imaging And Bioengineering of the National Institutes of Health (grant numbers R01EB006841, R01REB020407). Additional support was provided by the National Science Foundation (grant number 1539067). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the National Science Foundation. The Authors wish to thank The Mind Research Network. Funding Information: This work was supported by the National Institute on General Medical Sciences of the National Institutes of Health (grant number P20GM103472 ); National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health (grant number K01AA021431 ); and National Institute of Biomedical Imaging And Bioengineering of the National Institutes of Health (grant numbers R01EB006841 , R01REB020407 ). Additional support was provided by the National Science Foundation (grant number 1539067 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the National Science Foundation. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",
year = "2019",
month = jul,
doi = "10.1016/j.schres.2019.05.007",
language = "English (US)",
volume = "209",
pages = "129--134",
journal = "Schizophrenia Research",
issn = "0920-9964",
publisher = "Elsevier",
}