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In Vivo Delineation of Body-Part-Specific Cortical Topographies
In Vivo Delineation of Body-Part-Specific Cortical Topographies
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103614
- ISBN
- 9798286499250
- DDC
- 616
- 저자명
- Xu, Weihao.
- 서명/저자
- In Vivo Delineation of Body-Part-Specific Cortical Topographies
- 발행사항
- [Sl] : Columbia University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 204 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Hillman, Elizabeth.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2025.
- 초록/해제
- 요약The mammalian primary sensory cortex (S1) is well-known for its precise topographic representation of body parts, yet the detailed organizational structure of motor cortices, particularly the primary (M1) and secondary motor cortex (M2), remains challenging to discern. Traditional mapping techniques, such as cytoarchitectural analysis and invasive intracranial stimulation, have yielded only coarse and imprecise representations of motor cortical organization.To address these challenges, we utilized high-speed, multi-spectral wide-field optical mapping (WFOM) integrated with simultaneous behavioral monitoring and advanced tracking. This approach enabled real-time analysis of cortex-wide neuronal activity and whole-body behaviors in awake, spontaneously moving Thy1-jRGECO mice. By observing the dynamic and collective behavior of cortical circuits and networks over extended periods, we derived two detailed topographical maps of M1 and M2, based solely on the cortex's intrinsic activity.We first characterized cortical representations during resting states, where we identified structured, spontaneous fluctuations that were rapidly changing, bilaterally symmetric, and spatially heterogeneous. These distinct fluctuation patterns were highly informative of motor organization, despite their suppression during locomotion.Using resting-state functional connectivity (RSFC) mapping, we discovered body-part-specific relationships between each S1 region and distinct areas of the medial frontal cortex, revealing a detailed M2 topography.To map M1, we conducted retrograde tracing from the spinal cord to decorate corticospinal neurons (CSNs) with GCaMP. Real-time activity of these CSNs during locomotion provided precise evidence of forelimb and hindlimb M1 locations. Additionally, M1 regions can be consistently identified by an increase in coherence at lower frequencies (0-1.5 Hz) with S1 during transitions from rest to movement, allowing us to generalize M1 topography mapping in Thy1-jRGECO mice.Within these mapped regions, we used the constrained least squares (CLS) method to "functionalize" the topographies of S1, M1, and M2. This allowed us to spatiotemporally unmix their unique contributions to cortical neural activity and afforded us the opportunity to investigate their distinct functional roles and dynamic interplay in generating a wide range of spontaneous behaviors. Through this investigation, we found M2's anatomical activation became prominent only during complex and integrated movements, underscoring its critical role in higher-order motor control.
- 일반주제명
- Neurosciences
- 일반주제명
- Engineering
- 일반주제명
- Biomedical engineering
- 일반주제명
- Medical imaging
- 키워드
- Neural decoding
- 키워드
- Neural imaging
- 기타저자
- Columbia University Biomedical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798286499250
■035 ▼a(MiAaPQ)AAI32044046
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aXu, Weihao.
■24510▼aIn Vivo Delineation of Body-Part-Specific Cortical Topographies
■260 ▼a[Sl]▼bColumbia University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a204 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-01, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Hillman, Elizabeth.
■5021 ▼aThesis (Ph.D.)--Columbia University, 2025.
■520 ▼aThe mammalian primary sensory cortex (S1) is well-known for its precise topographic representation of body parts, yet the detailed organizational structure of motor cortices, particularly the primary (M1) and secondary motor cortex (M2), remains challenging to discern. Traditional mapping techniques, such as cytoarchitectural analysis and invasive intracranial stimulation, have yielded only coarse and imprecise representations of motor cortical organization.To address these challenges, we utilized high-speed, multi-spectral wide-field optical mapping (WFOM) integrated with simultaneous behavioral monitoring and advanced tracking. This approach enabled real-time analysis of cortex-wide neuronal activity and whole-body behaviors in awake, spontaneously moving Thy1-jRGECO mice. By observing the dynamic and collective behavior of cortical circuits and networks over extended periods, we derived two detailed topographical maps of M1 and M2, based solely on the cortex's intrinsic activity.We first characterized cortical representations during resting states, where we identified structured, spontaneous fluctuations that were rapidly changing, bilaterally symmetric, and spatially heterogeneous. These distinct fluctuation patterns were highly informative of motor organization, despite their suppression during locomotion.Using resting-state functional connectivity (RSFC) mapping, we discovered body-part-specific relationships between each S1 region and distinct areas of the medial frontal cortex, revealing a detailed M2 topography.To map M1, we conducted retrograde tracing from the spinal cord to decorate corticospinal neurons (CSNs) with GCaMP. Real-time activity of these CSNs during locomotion provided precise evidence of forelimb and hindlimb M1 locations. Additionally, M1 regions can be consistently identified by an increase in coherence at lower frequencies (0-1.5 Hz) with S1 during transitions from rest to movement, allowing us to generalize M1 topography mapping in Thy1-jRGECO mice.Within these mapped regions, we used the constrained least squares (CLS) method to "functionalize" the topographies of S1, M1, and M2. This allowed us to spatiotemporally unmix their unique contributions to cortical neural activity and afforded us the opportunity to investigate their distinct functional roles and dynamic interplay in generating a wide range of spontaneous behaviors. Through this investigation, we found M2's anatomical activation became prominent only during complex and integrated movements, underscoring its critical role in higher-order motor control.
■590 ▼aSchool code: 0054.
■650 4▼aNeurosciences
■650 4▼aEngineering
■650 4▼aBiomedical engineering
■650 4▼aMedical imaging
■653 ▼aCortical dynamics
■653 ▼aMotor cortex topography
■653 ▼aNeural decoding
■653 ▼aNeural imaging
■653 ▼aSensorimotor integration
■690 ▼a0317
■690 ▼a0537
■690 ▼a0541
■690 ▼a0574
■71020▼aColumbia University▼bBiomedical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-01B.
■790 ▼a0054
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357890▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
