A neural network model of Borderline Personality Disorder

Neural Netw. 2010 Mar;23(2):177-88. doi: 10.1016/j.neunet.2009.10.007. Epub 2009 Nov 10.


The etiology of Borderline Personality Disorder (BPD) is unknown. This paper develops an etiological hypothesis by constructing a neural network with constraints from neuroanatomy, neurophysiology, and behavior. The neural network ascribes roles to the brainstem's periaqueductal gray, the amygdala, and the anterior cingulate/ventromedial prefrontal cortex (ACC/vmPFC). Neural network simulations show how these brain structures might interact during BPD behavior. The simulations suggest that long term depression (LTD) in ACC/vmPFC may explain several BPD symptoms. The network makes testable suggestions. The current work is the first-ever neural network simulation of BPD.

MeSH terms

  • Algorithms
  • Borderline Personality Disorder / physiopathology*
  • Brain / physiopathology*
  • Computer Simulation*
  • Fear / physiology
  • Humans
  • Long-Term Synaptic Depression / physiology
  • Models, Neurological*
  • Neural Networks, Computer*
  • Neural Pathways / physiopathology