Integrative cognitive and affective modeling of deep brain stimulation

Seyed Sahand Mohammadi Ziabari*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper a computational model of Deep Brain Stimulation (DBS) therapy for post-traumatic stress disorder is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by using electrode which placed in a specific area in brain. Several areas in brain have been used to decrease the stress level, one of them is Amygdala. The presented temporal-causal network model aims at integrative modeling a Deep Brain Stimulation therapy where the relevant brain areas are modeled in a dynamic manner.

Original languageEnglish
Title of host publicationAdvances and Trends in Artificial Intelligence. From Theory to Practice
Subtitle of host publication32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings
EditorsGerhard Friedrich, Moonis Ali, Franz Wotawa, Ingo Pill, Roxane Koitz-Hristov
PublisherSpringer Verlag
Pages608-615
Number of pages8
ISBN (Electronic)9783030229993
ISBN (Print)9783030229986
DOIs
Publication statusPublished - 2019
Event32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019 - Graz, Austria
Duration: 9 Jul 201911 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11606 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019
CountryAustria
CityGraz
Period9/07/1911/07/19

Keywords

  • Amygdala
  • Deep Brain Stimulation
  • Network-Oriented Modeling
  • PTSD

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