A cognitive temporal-causal network model of hormone therapy

S. Sahand Mohammadi Ziabari*

*Corresponding author for this work

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

Abstract

In this paper, the effect of using sex hormones such as estrogen and producing this hormone in the body using cognitive, biological temporal-causal network model is presented. Reviewing neuroscience pieces of literature about hormone therapy shows the effect of estrogen on some brain components such as basolateral Amygdala, ventromedial Prefrontal Cortex, Hippocampus and resulting in decreasing the extreme emotion. This finding shows that for postnatal depression transdermal estrogen is an effective treatment. Moreover, the presented model integrates the cognitive, biological and effective principle of neuroscience.

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publication11th International Conference, ICCCI 2019 Hendaye, France, September 4–6, 2019, Proceedings - Part I
EditorsNgoc Thanh Nguyen, Richard Chbeir, Ernesto Exposito, Philippe Aniorté, Bogdan Trawinski, Ngoc Thanh Nguyen
PublisherSpringer Verlag
Pages650-660
Number of pages11
Volume1
ISBN (Electronic)9783030283773
ISBN (Print)9783030283766
DOIs
Publication statusPublished - 2019
Event11th International Conference on Computational Collective Intelligence, ICCCI 2019 - Hendaye, France
Duration: 4 Sep 20196 Sep 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Computational Collective Intelligence, ICCCI 2019
CountryFrance
CityHendaye
Period4/09/196/09/19

Keywords

  • Cognitive temporal-causal network model
  • Extreme emotion
  • Hebbian learning
  • Hormone therapy

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