Classification of bipolar disorder using basal-ganglia-related functional connectivity in the resting state

Shin Teng, Chia-Feng Lu, Po-Shan Wang, Chih-I. Hung, Cheng-Ta Li, Pei-Chi Tu, Tung-Ping Su, Yu-Te Wu

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The emotional and cognitive symptoms of bipolar disorder (BD) are suggested to involve in a distributed neural network. The resting-state functional magnetic resonance imaging (fMRI) offers an important tool to investigate the alterations in brain network level of BD. The aim of this study was to discriminate BD patients from healthy controls using whole-brain resting-state functional connectivity patterns. The majority of most discriminating functional connectivities were between the basal ganglia and three core neurocognitive networks, including the default mode, executive control and salience networks. Using these resting-state functional connectivities between the basal ganglia and three core neurocognitive networks as the features, the clustering accuracy achieved 90%.
Original languageEnglish
Pages (from-to)1057-1060
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume2013
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Basal Ganglia
Bipolar Disorder
Neurobehavioral Manifestations
Executive Function
Brain
Cluster Analysis
Magnetic Resonance Imaging

Keywords

  • adult
  • article
  • basal ganglion
  • bipolar disorder
  • classification
  • cognition
  • female
  • human
  • male
  • nerve cell network
  • pathophysiology
  • physiology
  • rest
  • Adult
  • Basal Ganglia
  • Bipolar Disorder
  • Cognition
  • Female
  • Humans
  • Male
  • Nerve Net
  • Rest

Cite this

Classification of bipolar disorder using basal-ganglia-related functional connectivity in the resting state. / Teng, Shin; Lu, Chia-Feng; Wang, Po-Shan; Hung, Chih-I.; Li, Cheng-Ta; Tu, Pei-Chi; Su, Tung-Ping; Wu, Yu-Te.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2013, 2013, p. 1057-1060.

Research output: Contribution to journalArticle

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