@inproceedings{b28adde6fac8473da9141d510d2d1005,
title = "Altered functional complexity associated with structural features in schizophrenic brain: A resting-state fmri study",
abstract = "Power law scaling is a well-defined physical concept in complexity science that has been used to quantified the dynamic signals across temporal scales. In this research, we aim to investigate the power law scaling of resting-state fMRI signal in schizophrenic and healthy brain and to examine the potential structural properties that may correlate to the altered functional complexity. Brain imaging data of 200 schizophrenia patients and 200 age and sex-matched healthy Han Chinese was retrieved from Taiwan Aging and Mental Illness cohort. Power law scaling was extracted by Pwelch function. In schizophrenia, six brain regions with abnormal complexity were correlated to the regional structural network of grey matter volume (hub at right superior frontal gyrus) and white matter volume at right superior cerebellar peduncle and splenium of the corpus callosum. Moreover, the identified power law scaling was correlated with clinical symptom severity. Our findings suggest that a loss of scale-free brain signal dynamics affecting by brain morphometries proposed the reduced complex brain activity as one of the neurobiological mechanisms in schizophrenia. This research supports {"}the loss of brain complexity hypothesis{"} and {"}the dysconnectivity hypothesis of schizophrenia.{"}, laying potential impact in psychiatry.",
keywords = "1/f Signal, Neuroscience, Power Law Scaling, Resting-State fMRI, Schizophrenia",
author = "Lee, {Yi Ju} and Huang, {Su Yun} and Tsai, {Shih Jen} and Yang, {Albert C.}",
note = "Publisher Copyright: {\textcopyright} 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 5th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2020 ; Conference date: 08-05-2020 Through 09-05-2020",
year = "2020",
month = jan,
doi = "10.5220/0009572301200128",
language = "English",
series = "COMPLEXIS 2020 - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk",
publisher = "SciTePress",
pages = "120--128",
editor = "Reinhold Behringer and Victor Chang",
booktitle = "COMPLEXIS 2020 - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk",
}