Zahra M. Aghajan

This study uses TD-fNIRS to map cognitive brain dynamics across the lifespan, identifying age-related neural dedifferentiation and compensatory strategies in high performers.

This paper develops a transformer model to decode specific memories from human neuronal activity before and after sleep, finding differential contributions from brain regions.

This paper presents a whole-head time-domain diffuse optical tomography (TD-DOT) system, characterizes its performance, and demonstrates its ability to retrieve cortical activation maps during various tasks.

This study evaluates the test-retest reliability of brain metrics from a TD-fNIRS system across different tasks and headsets, finding high reliability in resting state and task-related features.

The paper reports on temporally periodic neuronal firing in the human entorhinal cortex during continuous audiovisual experiences, showing invariance across different playback speeds.

This study uses TD-fNIRS to examine acute ketamine effects on brain dynamics and physiology in humans, finding changes in consciousness, brain connectivity, and potential biomarkers for mystical experiences and depression.

This study shows that alcohol dose affects brain asymmetry and inhibitory control, with metrics of lateralization providing additional insights beyond BAC.

The paper decodes human identity from neuronal activity using computer vision and deep learning, finding that tens of neurons in brain regions beyond MTL can robustly represent concepts.

The paper investigates how neurons in the human brain represent time and space concurrently during navigation tasks, finding dissociable temporal and spatial codes.

This paper develops a wireless platform for intracranial EEG recording and deep brain stimulation integrated with wearable technologies in freely moving humans.

This study examines theta oscillations in the human medial temporal lobe during spatial navigation and memory, finding their prevalence correlates with memory performance and movement direction.

This study identifies high-frequency theta oscillations (6-12Hz) in the human medial temporal lobe during real-world ambulation, supporting conserved mechanisms for spatial navigation.