@misc{bibcite_36,
  author = {Alexander White* and Yu Wang* and John Kochalka* and Yukun Hao and Chelsea Li and Melissa Hernandez and Nadya Andini and Ki Pyo and Wendy Wenderski and Anish Mitra and Barsin Gharagoz and Chandan Kadur and Surya Ganguli and Thomas Clandinin and Michael Lin and Karl Deisseroth},
  title = {Intrinsic space-time couplings governing multi-scale cortical dynamics},
  abstract = {<p>The neocortex covers a vast expanse of the mammalian brain and represents the principal target of clinical neuromodulation; however, the global principles of neocortical operation have been challenging to identify. In this regard, a limitation has been tracking activity with cortex-wide spatial coverage while maintaining access to the millisecond temporal resolution of neuronal firing{\textemdash} a crucial combination not achievable with existing recording technologies. Here we introduce and apply conformal immersion microscopy, enabling activity tracking across the entire dorsal cortex with millisecond temporal resolution and 100 μm spatial resolution (thus spanning five orders of magnitude in time and four in space), at sufficient sensitivity to resolve single-trial activity beyond 100 Hz. Drawing on physics-based frameworks, we apply multiscale analysis to identify a fundamental frequency-dependent coherence length that partitions the neocortex into discrete dynamical elements with well-defined propagation speeds, boundaries, and scale-invariant dynamics. These dynamical elements were found to be conserved from sub-threshold to suprathreshold (neuronal firing) regimes of neural activity, and were robust to diverse pharmacological, optogenetic, and genetic interventions. However, it was possible to identify and establish conditions allowing elemental boundaries to be selectively overridden, and to allow perturbation of specific elements even while conserving global dynamical architecture. Together, these findings enable measurement of intrinsic spatiotemporal parameters governing the dynamical organization of neocortex, which may provide a foundation for mechanistically-informed basic and translational understanding.</p>},
  year = {2026},
  publisher = {openRxiv},
  doi = {10.64898/2026.05.27.726038},
}