東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Mechanochemical Modeling of Structural Plasticity in Synapses.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mechanochemical Modeling of Structural Plasticity in Synapses./
Author:	Bell, Miriam.
Description:	1 online resource (277 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29061829click for full text (PQDT)
ISBN:	9798834054108

Mechanochemical Modeling of Structural Plasticity in Synapses.
Bell, Miriam.

Mechanochemical Modeling of Structural Plasticity in Synapses. - 1 online resource (277 pages)

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2022.

Includes bibliographical references

The ability to adapt is a hallmark of the brain. Unlike most cells in the body, most neurons are not replaced as one ages. Therefore, neurons are highly plastic, modifying themselves biochemically and structurally across multiple lengthscales in a process called synaptic plasticity. The backbone of these modifications lies in a neuron's ability to modulate the strength of its synapses, the connections between neurons. Most excitatory synapses are housed in small subcompartments, ~ 0.1 femtoliter in volume, called dendritic spines. Dendritic spines have characteristic shapes and sizes that correlate to disease, learning, and aging. These spine shapes and sizes change during synaptic plasticity and more specifically structural plasticity. When a dendritic spine receives a signal, it triggers complex biochemical signaling networks that can modulate the synaptic strength of the dendritic spine, or its synapse, by modulating the number of receptors on its membrane, amongst other modifications. Therefore, there is a coupling and feedback between the biochemical signaling underlying synaptic plasticity and the morphology of dendritic spines.In this work, we utilize computational and mathematical models to investigate this structure-function relationship in dendritic spines, as well as in larger lengthscale components such as dendrites and neurons. We start with an example of extreme structural plasticity, where a biochemical signal can rupture connections between cells. We show that biochemical signaling can trigger mechanical forces to modulate cellular morphology and neural connections. Next, we investigate how neuronal morphology influences biochemical signaling more closely in the context of synaptic plasticity in dendritic spines. We consider different timescales of signaling starting with voltage propagation during spine activation, and calcium influx into dendritic spines of different morphologies. We find that spine morphology and ultrastructure can impact signaling dynamics even at these early timescales. Finally, we use both a compartmental model and a spatial model to consider the biochemistry underlying synaptic plasticity, and how signaling and receptor trafficking couple during synaptic plasticity. We find that model architecture filters the influence of upstream signaling on synaptic plasticity readouts and that spine morphology, in particular spine size, can act to regulate synaptic plasticity to prevent excessive receptor change. This work strives to emphasize the coupling between spine morphology and biochemical signaling networks that govern synaptic plasticity, creating a foundation for future work to investigate structural plasticity in more detail.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798834054108Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Morphology of dendritic spinesIndex Terms--Genre/Form:

542853
Electronic books.

Mechanochemical Modeling of Structural Plasticity in Synapses.
LDR:04017nmm a2200361K 4500 001 2354142
005 20230324111209.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798834054108
035 $a (MiAaPQ)AAI29061829
035 $a AAI29061829
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Bell, Miriam. $3 3694488
245 1 0 $a Mechanochemical Modeling of Structural Plasticity in Synapses.
264 0 $c 2022
300 $a 1 online resource (277 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 $a Advisor: Rangamani, Padmini.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2022.
504 $a Includes bibliographical references
520 $a The ability to adapt is a hallmark of the brain. Unlike most cells in the body, most neurons are not replaced as one ages. Therefore, neurons are highly plastic, modifying themselves biochemically and structurally across multiple lengthscales in a process called synaptic plasticity. The backbone of these modifications lies in a neuron's ability to modulate the strength of its synapses, the connections between neurons. Most excitatory synapses are housed in small subcompartments, ~ 0.1 femtoliter in volume, called dendritic spines. Dendritic spines have characteristic shapes and sizes that correlate to disease, learning, and aging. These spine shapes and sizes change during synaptic plasticity and more specifically structural plasticity. When a dendritic spine receives a signal, it triggers complex biochemical signaling networks that can modulate the synaptic strength of the dendritic spine, or its synapse, by modulating the number of receptors on its membrane, amongst other modifications. Therefore, there is a coupling and feedback between the biochemical signaling underlying synaptic plasticity and the morphology of dendritic spines.In this work, we utilize computational and mathematical models to investigate this structure-function relationship in dendritic spines, as well as in larger lengthscale components such as dendrites and neurons. We start with an example of extreme structural plasticity, where a biochemical signal can rupture connections between cells. We show that biochemical signaling can trigger mechanical forces to modulate cellular morphology and neural connections. Next, we investigate how neuronal morphology influences biochemical signaling more closely in the context of synaptic plasticity in dendritic spines. We consider different timescales of signaling starting with voltage propagation during spine activation, and calcium influx into dendritic spines of different morphologies. We find that spine morphology and ultrastructure can impact signaling dynamics even at these early timescales. Finally, we use both a compartmental model and a spatial model to consider the biochemistry underlying synaptic plasticity, and how signaling and receptor trafficking couple during synaptic plasticity. We find that model architecture filters the influence of upstream signaling on synaptic plasticity readouts and that spine morphology, in particular spine size, can act to regulate synaptic plasticity to prevent excessive receptor change. This work strives to emphasize the coupling between spine morphology and biochemical signaling networks that govern synaptic plasticity, creating a foundation for future work to investigate structural plasticity in more detail.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 649730
650 4 $a Bioengineering. $3 657580
653 $a Morphology of dendritic spines
653 $a Synaptic plasticity
653 $a Receptor change
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0548
690 $a 0202
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of California, San Diego. $b Mechanical and Aerospace Engineering. $3 2096513
773 0 $t Dissertations Abstracts International $g 84-01B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29061829 $z click for full text (PQDT)