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Yasmeen Nahas

2 papers in the library · 2 citations · publishing 2023-2026

Papers

Cognitive control and semantic thought variability across sleep and wakefulness

March 14, 2023 Remington Mallett, Yasmeen Nahas, Kalina Christoff et al. 2 citations preprint

The flow of thought is persistent and sometimes unpredictable, and understanding what influences how thoughts shift from moment to moment has implications for disorders like schizophrenia and recurrent nightmares. This study examined whether cognitive control limits moment-to-moment content shifts across sleep and wakefulness. Thought variability was measured as semantic incoherence between sequential thought phrases in dreaming and waking reports. During wakefulness, on-task conditions showed reduced thought variability compared to off-task conditions, and thought variability was greater when thoughts wandered freely. During sleep, lucid dreams, which involve higher cognitive control, showed reduced thought variability compared to non-lucid dreams. These results suggest that cognitive control may limit thought variability across the 24-hour cycle of thought generation, consistent with the Dynamic Framework of Thought.

Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.

Journal of neuroscience methods July 4, 2026 Parsa Seyfourian, Lydia C Marks, Leslie D Claar et al.

Pupil diameter is a non-invasive biomarker of brain state, correlating with arousal, attention, cognitive processing, and consciousness. Existing pupillometry software often lacks scalability and robustness across diverse experimental conditions and species. Pupil-DLC is an open-source, offline, DeepLabCut-based pipeline for scalable, marker-less pupil tracking, primarily designed for mice. Trained on 21,909 manually annotated frames from over 140 videos of head-fixed mice spanning wakefulness and drug-induced states, including psychedelics and anesthesia, the dataset was deliberately selected to maximize pupil size variability and model generalization.