東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Shaping Affect Regulation: From Trai...

Wright, Rachael Nadine,

FindBook

Google Book

Amazon

博客來

Shaping Affect Regulation: From Trait Influences to Learning Experiences /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Shaping Affect Regulation: From Trait Influences to Learning Experiences // Rachael Nadine Wright.
作者:	Wright, Rachael Nadine,
面頁冊數:	1 electronic resource (241 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
標題:	Cognitive psychology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993337
ISBN:	9798382729206

Shaping Affect Regulation: From Trait Influences to Learning Experiences /
Wright, Rachael Nadine,

Shaping Affect Regulation: From Trait Influences to Learning Experiences /Rachael Nadine Wright. - 1 electronic resource (241 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

The ability to influence how we feel - affect regulation - is a fundamental psychological process essential for everyday functioning and maintaining well-being. To ultimately develop interventions for improving affect regulation abilities, research investigating the diverse influences that determine individual variability in affect regulation are needed. I focus on two forms of affect regulation of particular importance for mental health outcomes and goal-driven behavior - the downregulation of negative affect and the upregulation of motivation. I approach this challenge by examining how trait factors predict affect regulation outcomes and how affect relation may be learned over time. More specifically, in Chapter 2 I investigate how beliefs about motivation relate to goal-oriented behavior, reward experiences, and motivation regulation through the development of a novel self-report questionnaire. In Chapter 3, I demonstrate that individuals can learn to use motivation regulation strategies to engage brain activity in the VTA (a region critically involved in motivated behavior), when presented with real-time fMRI neurofeedback, and characterize a functional brain network that underlies this process. In Chapter 4, I investigate how trait intolerance of uncertainty influences situational appraisals and coping behaviors to predict anxiety about the COVID-19 pandemic. And lastly in Chapter 5, I reviewed evidence for learning in emotion regulation and proposed a novel conceptual model for investigating how specific learning processes may support components of the emotion regulation process to produce learned changes in regulatory behavior. Collectively, this body of work demonstrates specific ways that affect regulation is shaped through trait characteristics and learning experiences.

English

ISBN: 9798382729206Subjects--Topical Terms:

523881
Cognitive psychology.
Subjects--Index Terms:

Affect regulation

Shaping Affect Regulation: From Trait Influences to Learning Experiences /
LDR:03341nmm a22004573i 4500 001 2438191
005 20251210113942.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798382729206
035 $a (MiAaPQD)AAI30993337
035 $a AAI30993337
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Wright, Rachael Nadine, $e author. $3 3829420
245 1 0 $a Shaping Affect Regulation: From Trait Influences to Learning Experiences / $c Rachael Nadine Wright.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (241 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: 85-11, Section: B.
500 $a Advisors: Adcock, R. Alison; LaBar, Kevin S. Committee members: Strauman, Timothy J.; Samanez-Larkin, Gregory R.
502 $b Ph.D. $c Duke University $d 2024.
520 $a The ability to influence how we feel - affect regulation - is a fundamental psychological process essential for everyday functioning and maintaining well-being. To ultimately develop interventions for improving affect regulation abilities, research investigating the diverse influences that determine individual variability in affect regulation are needed. I focus on two forms of affect regulation of particular importance for mental health outcomes and goal-driven behavior - the downregulation of negative affect and the upregulation of motivation. I approach this challenge by examining how trait factors predict affect regulation outcomes and how affect relation may be learned over time. More specifically, in Chapter 2 I investigate how beliefs about motivation relate to goal-oriented behavior, reward experiences, and motivation regulation through the development of a novel self-report questionnaire. In Chapter 3, I demonstrate that individuals can learn to use motivation regulation strategies to engage brain activity in the VTA (a region critically involved in motivated behavior), when presented with real-time fMRI neurofeedback, and characterize a functional brain network that underlies this process. In Chapter 4, I investigate how trait intolerance of uncertainty influences situational appraisals and coping behaviors to predict anxiety about the COVID-19 pandemic. And lastly in Chapter 5, I reviewed evidence for learning in emotion regulation and proposed a novel conceptual model for investigating how specific learning processes may support components of the emotion regulation process to produce learned changes in regulatory behavior. Collectively, this body of work demonstrates specific ways that affect regulation is shaped through trait characteristics and learning experiences.
546 $a English
590 $a School code: 0066
650 4 $a Cognitive psychology. $3 523881
650 4 $a Neurosciences. $3 588700
650 4 $a Behavioral sciences. $3 529833
650 4 $a Clinical psychology. $3 524863
653 $a Affect regulation
653 $a Emotion regulation
653 $a Motivation
653 $a Neuroimaging
653 $a Learning experiences
690 $a 0633
690 $a 0317
690 $a 0602
690 $a 0622
710 2 $a Duke University. $b Psychology and Neuroscience. $e degree granting institution. $3 3829421
720 1 $a Adcock, R. Alison $e degree supervisor.
720 1 $a LaBar, Kevin S. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-11B.
790 $a 0066
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993337