Toward a multiscale modeling framework for understanding serotonergic function

KongFatt Wong-Lin, Da-Hui Wang, Ahmed A Moustafa, Jeremiah Y Cohen, Kae Nakamura

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin.
LanguageEnglish
JournalJournal of Psychopharmacology
Early online date18 Apr 2017
DOIs
Publication statusE-pub ahead of print - 18 Apr 2017

Fingerprint

Serotonin
Emotions
Brain

Keywords

  • Serotonin 5-HT
  • midbrain raphe nucleus
  • multiscale computational model
  • neural circuit

Cite this

Wong-Lin, KongFatt ; Wang, Da-Hui ; Moustafa, Ahmed A ; Cohen, Jeremiah Y ; Nakamura, Kae. / Toward a multiscale modeling framework for understanding serotonergic function. In: Journal of Psychopharmacology. 2017.
@article{ac1e2b7912f34842ad3280a2adb19214,
title = "Toward a multiscale modeling framework for understanding serotonergic function",
abstract = "Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin.",
keywords = "Serotonin 5-HT, midbrain raphe nucleus, multiscale computational model, neural circuit",
author = "KongFatt Wong-Lin and Da-Hui Wang and Moustafa, {Ahmed A} and Cohen, {Jeremiah Y} and Kae Nakamura",
year = "2017",
month = "4",
day = "18",
doi = "10.1177/0269881117699612",
language = "English",
journal = "Journal of Psychopharmacology",
issn = "0269-8811",

}

Toward a multiscale modeling framework for understanding serotonergic function. / Wong-Lin, KongFatt; Wang, Da-Hui; Moustafa, Ahmed A; Cohen, Jeremiah Y; Nakamura, Kae.

In: Journal of Psychopharmacology, 18.04.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Toward a multiscale modeling framework for understanding serotonergic function

AU - Wong-Lin, KongFatt

AU - Wang, Da-Hui

AU - Moustafa, Ahmed A

AU - Cohen, Jeremiah Y

AU - Nakamura, Kae

PY - 2017/4/18

Y1 - 2017/4/18

N2 - Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin.

AB - Despite its importance in regulating emotion and mental wellbeing, the complex structure and function of the serotonergic system present formidable challenges toward understanding its mechanisms. In this paper, we review studies investigating the interactions between serotonergic and related brain systems and their behavior at multiple scales, with a focus on biologically-based computational modeling. We first discuss serotonergic intracellular signaling and neuronal excitability, followed by neuronal circuit and systems levels. At each level of organization, we will discuss the experimental work accompanied by related computational modeling work. We then suggest that a multiscale modeling approach that integrates the various levels of neurobiological organization could potentially transform the way we understand the complex functions associated with serotonin.

KW - Serotonin 5-HT

KW - midbrain raphe nucleus

KW - multiscale computational model

KW - neural circuit

U2 - 10.1177/0269881117699612

DO - 10.1177/0269881117699612

M3 - Article

JO - Journal of Psychopharmacology

T2 - Journal of Psychopharmacology

JF - Journal of Psychopharmacology

SN - 0269-8811

ER -