Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks

Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince Daniel Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1517-1520
Number of pages4
ISBN (Print)9781424479290
DOIs
StatePublished - Nov 2 2014
Externally publishedYes
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

Fingerprint

Biomarkers
Bipolar Disorder
Psychotic Disorders
Brain
Schizophrenia
Independent component analysis
Parietal Lobe
Cerebral Cortex
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering

Cite this

Du, Y., Liu, J., Sui, J., He, H., Pearlson, G. D., & Calhoun, V. D. (2014). Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 1517-1520). [6943890] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6943890

Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. / Du, Yuhui; Liu, Jingyu; Sui, Jing; He, Hao; Pearlson, Godfrey D.; Calhoun, Vince Daniel.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1517-1520 6943890.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Du, Y, Liu, J, Sui, J, He, H, Pearlson, GD & Calhoun, VD 2014, Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6943890, Institute of Electrical and Electronics Engineers Inc., pp. 1517-1520, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 8/26/14. https://doi.org/10.1109/EMBC.2014.6943890
Du Y, Liu J, Sui J, He H, Pearlson GD, Calhoun VD. Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1517-1520. 6943890 https://doi.org/10.1109/EMBC.2014.6943890
Du, Yuhui ; Liu, Jingyu ; Sui, Jing ; He, Hao ; Pearlson, Godfrey D. ; Calhoun, Vince Daniel. / Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1517-1520
@inproceedings{e7f91858ef054483912ff61137506145,
title = "Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks",
abstract = "Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.",
author = "Yuhui Du and Jingyu Liu and Jing Sui and Hao He and Pearlson, {Godfrey D.} and Calhoun, {Vince Daniel}",
year = "2014",
month = "11",
day = "2",
doi = "10.1109/EMBC.2014.6943890",
language = "English (US)",
isbn = "9781424479290",
pages = "1517--1520",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks

AU - Du, Yuhui

AU - Liu, Jingyu

AU - Sui, Jing

AU - He, Hao

AU - Pearlson, Godfrey D.

AU - Calhoun, Vince Daniel

PY - 2014/11/2

Y1 - 2014/11/2

N2 - Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.

AB - Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.

UR - http://www.scopus.com/inward/record.url?scp=84929494139&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929494139&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2014.6943890

DO - 10.1109/EMBC.2014.6943890

M3 - Conference contribution

C2 - 25570258

AN - SCOPUS:84929494139

SN - 9781424479290

SP - 1517

EP - 1520

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -