Emily P. Stephen

This paper shows that common assumptions in spectral decomposition of neural voltage data lead to estimation errors and introduces a corrected method that improves accuracy in analyzing brain state changes.

The paper introduces a stochastic modeling framework to capture both rhythmic and broadband spectral effects in neural recordings and demonstrates its ability to interpret power spectra and cross-frequency coupling.

The paper shows that hemodynamic responses in the cortex are influenced by neuromodulators like norepinephrine, with distinct impulse response functions for different neuromodulatory signals.

This study reports that CT-DBS in awake mice can induce SWDs at low currents during titration, highlighting the need for EEG monitoring.

This study shows propofol disrupts sensory signal progression through the cortical hierarchy by affecting both Up and Down states, with persistent responses only in auditory cortex.

The paper shows that neural activity in auditory cortex encodes temporal context in speech through low-dimensional latent states, with timing cues capturing more variance than phonetic features.

The paper shows propofol causes alpha rhythms to shift from posterior to anterior in two distinct thalamocortical networks, disrupting sensory and cognitive function during loss of consciousness.

This paper introduces a state space model for phase amplitude coupling analysis that improves statistical efficiency and reduces errors from frequency band selection and signal non-linearities.

The paper investigates broadband slow-wave modulation in posterior and anterior cortex during propofol-induced unconsciousness, finding distinct brain state shifts associated with different depths of anesthesia.