Network analysis of functional brain connectivity in borderline personality disorder using resting-state fMRI

Tingting Xu, Kathryn R Cullen, Bryon A Mueller, Mindy W. Schreiner, Kelvin O Lim, S. Charles Schulz, Keshab K Parhi

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Borderline personality disorder (BPD) is associated with symptoms such as affect dysregulation, impaired sense of self, and self-harm behaviors. Neuroimaging research on BPD has revealed structural and functional abnormalities in specific brain regions and connections. However, little is known about the topological organizations of brain networks in BPD. We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 patients with BPD and 10 healthy controls, and constructed frequency-specific functional brain networks by correlating wavelet-filtered fMRI signals from 82 cortical and subcortical regions. We employed graph-theory based complex network analysis to investigate the topological properties of the brain networks, and employed network-based statistic to identify functional dysconnections in patients. In the 0.03-0.06 Hz frequency band, compared to controls, patients with BPD showed significantly larger measures of global network topology, including the size of largest connected graph component, clustering coefficient, small-worldness, and local efficiency, indicating increased local cliquishness of the functional brain network. Compared to controls, patients showed lower nodal centrality at several hub nodes but greater centrality at several non-hub nodes in the network. Furthermore, an interconnected subnetwork in 0.03-0.06 Hz frequency band was identified that showed significantly lower connectivity in patients. The links in the subnetwork were mainly long-distance connections between regions located at different lobes; and the mean connectivity of this subnetwork was negatively correlated with the increased global topology measures. Lastly, the key network measures showed high correlations with several clinical symptom scores, and classified BPD patients against healthy controls with high accuracy based on linear discriminant analysis. The abnormal topological properties and connectivity found in this study may add new knowledge to the current understanding of functional brain networks in BPD. However, due to limitation of small sample sizes, the results of the current study should be viewed as exploratory and need to be validated on large samples in future works.

Original languageEnglish (US)
Pages (from-to)302-315
Number of pages14
JournalNeuroImage: Clinical
Volume11
DOIs
StatePublished - Jan 1 2016

Fingerprint

Borderline Personality Disorder
Magnetic Resonance Imaging
Brain
Discriminant Analysis
Neuroimaging
Sample Size
Cluster Analysis
Research

Keywords

  • Borderline personality disorder (BPD)
  • Functional brain connectivity
  • Functional magnetic resonance imaging (fMRI)
  • Graph theory
  • Network analysis
  • Resting-state

Cite this

Network analysis of functional brain connectivity in borderline personality disorder using resting-state fMRI. / Xu, Tingting; Cullen, Kathryn R; Mueller, Bryon A; Schreiner, Mindy W.; Lim, Kelvin O; Schulz, S. Charles; Parhi, Keshab K.

In: NeuroImage: Clinical, Vol. 11, 01.01.2016, p. 302-315.

Research output: Contribution to journalArticle

@article{67e8ab91b7d84a0482f92ed09ad74786,
title = "Network analysis of functional brain connectivity in borderline personality disorder using resting-state fMRI",
abstract = "Borderline personality disorder (BPD) is associated with symptoms such as affect dysregulation, impaired sense of self, and self-harm behaviors. Neuroimaging research on BPD has revealed structural and functional abnormalities in specific brain regions and connections. However, little is known about the topological organizations of brain networks in BPD. We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 patients with BPD and 10 healthy controls, and constructed frequency-specific functional brain networks by correlating wavelet-filtered fMRI signals from 82 cortical and subcortical regions. We employed graph-theory based complex network analysis to investigate the topological properties of the brain networks, and employed network-based statistic to identify functional dysconnections in patients. In the 0.03-0.06 Hz frequency band, compared to controls, patients with BPD showed significantly larger measures of global network topology, including the size of largest connected graph component, clustering coefficient, small-worldness, and local efficiency, indicating increased local cliquishness of the functional brain network. Compared to controls, patients showed lower nodal centrality at several hub nodes but greater centrality at several non-hub nodes in the network. Furthermore, an interconnected subnetwork in 0.03-0.06 Hz frequency band was identified that showed significantly lower connectivity in patients. The links in the subnetwork were mainly long-distance connections between regions located at different lobes; and the mean connectivity of this subnetwork was negatively correlated with the increased global topology measures. Lastly, the key network measures showed high correlations with several clinical symptom scores, and classified BPD patients against healthy controls with high accuracy based on linear discriminant analysis. The abnormal topological properties and connectivity found in this study may add new knowledge to the current understanding of functional brain networks in BPD. However, due to limitation of small sample sizes, the results of the current study should be viewed as exploratory and need to be validated on large samples in future works.",
keywords = "Borderline personality disorder (BPD), Functional brain connectivity, Functional magnetic resonance imaging (fMRI), Graph theory, Network analysis, Resting-state",
author = "Tingting Xu and Cullen, {Kathryn R} and Mueller, {Bryon A} and Schreiner, {Mindy W.} and Lim, {Kelvin O} and Schulz, {S. Charles} and Parhi, {Keshab K}",
year = "2016",
month = "1",
day = "1",
doi = "10.1016/j.nicl.2016.02.006",
language = "English (US)",
volume = "11",
pages = "302--315",
journal = "NeuroImage: Clinical",
issn = "2213-1582",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Network analysis of functional brain connectivity in borderline personality disorder using resting-state fMRI

AU - Xu, Tingting

AU - Cullen, Kathryn R

AU - Mueller, Bryon A

AU - Schreiner, Mindy W.

AU - Lim, Kelvin O

AU - Schulz, S. Charles

AU - Parhi, Keshab K

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Borderline personality disorder (BPD) is associated with symptoms such as affect dysregulation, impaired sense of self, and self-harm behaviors. Neuroimaging research on BPD has revealed structural and functional abnormalities in specific brain regions and connections. However, little is known about the topological organizations of brain networks in BPD. We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 patients with BPD and 10 healthy controls, and constructed frequency-specific functional brain networks by correlating wavelet-filtered fMRI signals from 82 cortical and subcortical regions. We employed graph-theory based complex network analysis to investigate the topological properties of the brain networks, and employed network-based statistic to identify functional dysconnections in patients. In the 0.03-0.06 Hz frequency band, compared to controls, patients with BPD showed significantly larger measures of global network topology, including the size of largest connected graph component, clustering coefficient, small-worldness, and local efficiency, indicating increased local cliquishness of the functional brain network. Compared to controls, patients showed lower nodal centrality at several hub nodes but greater centrality at several non-hub nodes in the network. Furthermore, an interconnected subnetwork in 0.03-0.06 Hz frequency band was identified that showed significantly lower connectivity in patients. The links in the subnetwork were mainly long-distance connections between regions located at different lobes; and the mean connectivity of this subnetwork was negatively correlated with the increased global topology measures. Lastly, the key network measures showed high correlations with several clinical symptom scores, and classified BPD patients against healthy controls with high accuracy based on linear discriminant analysis. The abnormal topological properties and connectivity found in this study may add new knowledge to the current understanding of functional brain networks in BPD. However, due to limitation of small sample sizes, the results of the current study should be viewed as exploratory and need to be validated on large samples in future works.

AB - Borderline personality disorder (BPD) is associated with symptoms such as affect dysregulation, impaired sense of self, and self-harm behaviors. Neuroimaging research on BPD has revealed structural and functional abnormalities in specific brain regions and connections. However, little is known about the topological organizations of brain networks in BPD. We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 patients with BPD and 10 healthy controls, and constructed frequency-specific functional brain networks by correlating wavelet-filtered fMRI signals from 82 cortical and subcortical regions. We employed graph-theory based complex network analysis to investigate the topological properties of the brain networks, and employed network-based statistic to identify functional dysconnections in patients. In the 0.03-0.06 Hz frequency band, compared to controls, patients with BPD showed significantly larger measures of global network topology, including the size of largest connected graph component, clustering coefficient, small-worldness, and local efficiency, indicating increased local cliquishness of the functional brain network. Compared to controls, patients showed lower nodal centrality at several hub nodes but greater centrality at several non-hub nodes in the network. Furthermore, an interconnected subnetwork in 0.03-0.06 Hz frequency band was identified that showed significantly lower connectivity in patients. The links in the subnetwork were mainly long-distance connections between regions located at different lobes; and the mean connectivity of this subnetwork was negatively correlated with the increased global topology measures. Lastly, the key network measures showed high correlations with several clinical symptom scores, and classified BPD patients against healthy controls with high accuracy based on linear discriminant analysis. The abnormal topological properties and connectivity found in this study may add new knowledge to the current understanding of functional brain networks in BPD. However, due to limitation of small sample sizes, the results of the current study should be viewed as exploratory and need to be validated on large samples in future works.

KW - Borderline personality disorder (BPD)

KW - Functional brain connectivity

KW - Functional magnetic resonance imaging (fMRI)

KW - Graph theory

KW - Network analysis

KW - Resting-state

UR - http://www.scopus.com/inward/record.url?scp=84959519224&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959519224&partnerID=8YFLogxK

U2 - 10.1016/j.nicl.2016.02.006

DO - 10.1016/j.nicl.2016.02.006

M3 - Article

VL - 11

SP - 302

EP - 315

JO - NeuroImage: Clinical

JF - NeuroImage: Clinical

SN - 2213-1582

ER -