@article{THESIS,
      recid = {11868},
      author = {Song, Hayoung},
      title = {Brain-Wide Dynamics Supporting Human Cognitive  Experiences},
      publisher = {University of Chicago},
      school = {Ph.D.},
      address = {2024-08},
      number = {THESIS},
      abstract = {Our mind and the brain are fascinatingly rich and complex,  constantly changing over time in response to the situations  we are in. This thesis asks how large-scale neural dynamics  give rise to higher-order cognitive processes that we  experience in the real world, including event perception  and comprehension, attentional engagement, and episodic  memory. Moving beyond a focus on local brain areas, the  work investigates how activity and interaction of the whole  brain areas and networks reconfigure in relation to  cognitive dynamics. Part 1 introduces three empirical  chapters that use functional magnetic resonance imaging  with naturalistic behavioral experiments in humans. Results  demonstrate that attentional engagement is predicted by  dynamic patterns of whole-brain functional connectivity,  brain-wide state dynamics in a low-dimensional manifold  reflect cognitive and attentional state dynamics, and the  process of narrative comprehension guided by memory  integration is characterized by changes in neural  representation patterns. Part 2 introduces three  theoretical chapters that review important literature and  elaborate my opinion on how the field should study the  brain to understand the mind and behavior. The work argues  for the need to characterize neural dynamics in relation to  cognitive dynamics, test for generalizability of  brain-behavior relationship across contexts, use  naturalistic and complex behavioral paradigms to complement  targeted experiments, probe neural processes at multiple  spatiotemporal scales and dimensionalities, and integrate  findings across neuroscience subfields that use different  model species and techniques. Together, this thesis  demonstrates that the mechanisms of complex cognitive  experiences in humans can be understood by looking at the  biological and computational operations of the large-scale  neural system.},
      url = {http://knowledge.uchicago.edu/record/11868},
      doi = {https://doi.org/10.6082/uchicago.11868},
}