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A Systematic Study of Zebrafish Thermoregulation
A Systematic Study of Zebrafish Thermoregulation
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105635
- ISBN
- 9798297962835
- DDC
- 616
- 서명/저자
- A Systematic Study of Zebrafish Thermoregulation
- 발행사항
- [Sl] : The Ohio State University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 201 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: B.
- 주기사항
- Advisor: Haesemeyer, Martin.
- 학위논문주기
- Thesis (Ph.D.)--The Ohio State University, 2025.
- 초록/해제
- 요약A central goal of neuroscience is to study the relation between neural activity and behavior. Model organisms offer a novel approach to uncovering neural circuits that control behavior due to their conserved brain structures with humans, quantifiable behaviors with well defined goals and unprecedented access to the brain through large scale neural recording techniques. A critical feature for all organisms is to maintain homeostasis through various mechanisms, which includes thermoregulation. Ectotherms, such as zebrafish, lack physiological mechanisms to modulate their body temperature and explicitly rely on behavioral mechanisms for thermoregulation. This makes them an excellent model for investigating how organisms integrate external stimuli to generate behavioral responses. In this thesis, we set out to uncover neural circuits that underlie thermoregulation. First we develop a tool to gain insight from large scale neuronal recordings, using convolutional neural networks and applying explainable machine learning approaches to classify and characterize neuronal response types. We validate this approach on published cortical mouse widefield imaging datasets, as well as on experiments designed to probe thermoregulatory circuits in larval zebrafish. Our approach identifies the same set of neurons that were previously discovered using more systematic approaches like linear regression, while also generalizing to unseen inputs to identify novel sets of neurons. Subsequently, we use this approach to identify neuronal correlates for thermoregulation in larval zebrafish. We combined behavioral recording, modeling and functional calcium imaging in larval zebrafish to gain insight into how vertebrates seek out preferred temperatures through the interaction of two competing drives: the avoidance of hot and cold temperatures. A key insight was the characterization of behavior over longer timescales as strings of bouts that make up a trajectory. Using Markov models, we identified three distinct swim modes-reversal, persistent, and general-and quantified state transitions in response to temperature stimuli. This description shows a significant improvement over existing models of navigation based on individual bout parameters. Additionally, two-photon calcium imaging of the zebrafish medulla revealed neurons encoding hot and cold temperatures, forming a 'place code'-like representation of thermal stimuli. Our findings provide a foundational description of larval zebrafish thermoregulatory behavior, linking neural activity to navigational strategies that accurately predict observed behavior.
- 일반주제명
- Neurosciences
- 일반주제명
- Biophysics
- 일반주제명
- Immunology
- 키워드
- Zebrafish
- 키워드
- Thermoregulation
- 키워드
- Neural encoding
- 키워드
- Neural networks
- 키워드
- Machine learning
- 기타저자
- The Ohio State University Biophysics
- 기본자료저록
- Dissertations Abstracts International. 87-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798297962835
■035 ▼a(MiAaPQ)AAI32384449
■035 ▼a(MiAaPQ)OhioLINKosu1752814659816457
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aBalakrishnan, Kaarthik Abhinav.
■24512▼aA Systematic Study of Zebrafish Thermoregulation
■260 ▼a[Sl]▼bThe Ohio State University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a201 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: B.
■500 ▼aAdvisor: Haesemeyer, Martin.
■5021 ▼aThesis (Ph.D.)--The Ohio State University, 2025.
■520 ▼aA central goal of neuroscience is to study the relation between neural activity and behavior. Model organisms offer a novel approach to uncovering neural circuits that control behavior due to their conserved brain structures with humans, quantifiable behaviors with well defined goals and unprecedented access to the brain through large scale neural recording techniques. A critical feature for all organisms is to maintain homeostasis through various mechanisms, which includes thermoregulation. Ectotherms, such as zebrafish, lack physiological mechanisms to modulate their body temperature and explicitly rely on behavioral mechanisms for thermoregulation. This makes them an excellent model for investigating how organisms integrate external stimuli to generate behavioral responses. In this thesis, we set out to uncover neural circuits that underlie thermoregulation. First we develop a tool to gain insight from large scale neuronal recordings, using convolutional neural networks and applying explainable machine learning approaches to classify and characterize neuronal response types. We validate this approach on published cortical mouse widefield imaging datasets, as well as on experiments designed to probe thermoregulatory circuits in larval zebrafish. Our approach identifies the same set of neurons that were previously discovered using more systematic approaches like linear regression, while also generalizing to unseen inputs to identify novel sets of neurons. Subsequently, we use this approach to identify neuronal correlates for thermoregulation in larval zebrafish. We combined behavioral recording, modeling and functional calcium imaging in larval zebrafish to gain insight into how vertebrates seek out preferred temperatures through the interaction of two competing drives: the avoidance of hot and cold temperatures. A key insight was the characterization of behavior over longer timescales as strings of bouts that make up a trajectory. Using Markov models, we identified three distinct swim modes-reversal, persistent, and general-and quantified state transitions in response to temperature stimuli. This description shows a significant improvement over existing models of navigation based on individual bout parameters. Additionally, two-photon calcium imaging of the zebrafish medulla revealed neurons encoding hot and cold temperatures, forming a 'place code'-like representation of thermal stimuli. Our findings provide a foundational description of larval zebrafish thermoregulatory behavior, linking neural activity to navigational strategies that accurately predict observed behavior.
■590 ▼aSchool code: 0168.
■650 4▼aNeurosciences
■650 4▼aBiophysics
■650 4▼aImmunology
■653 ▼aZebrafish
■653 ▼aThermoregulation
■653 ▼aNeural encoding
■653 ▼aNeural networks
■653 ▼aMachine learning
■653 ▼aTwo-photon calcium imaging
■690 ▼a0317
■690 ▼a0786
■690 ▼a0982
■71020▼aThe Ohio State University▼bBiophysics.
■7730 ▼tDissertations Abstracts International▼g87-05B.
■790 ▼a0168
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360902▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
