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Xiaoli Li

State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.

5 papers in the library · 60 citations · publishing 2024-2025

Papers

Human high-order thalamic nuclei gate conscious perception through the thalamofrontal loop.

Science (New York, N.Y.) April 4, 2025 Zepeng Fang, Yuanyuan Dang, An'An Ping et al. 45 citations

The intralaminar and medial thalamic nuclei act as a gate to drive prefrontal cortex activity during the emergence of conscious perception. In patients with implanted electrodes performing a visual consciousness task, these nuclei showed earlier and stronger consciousness-related activity compared to ventral nuclei and prefrontal cortex. Transient thalamofrontal neural synchrony and cross-frequency coupling were driven by the θ phase of the intralaminar and medial nuclei during conscious perception.

State-related Electroencephalography Microstate Complexity during Propofol- and Esketamine-induced Unconsciousness.

Anesthesiology May 1, 2024 Zhenhu Liang, Bo Tang, Yu Chang et al. 13 citations

Two new measures of EEG microstate complexity—type I, quantifying randomness, and type II, quantifying fluctuation complexity—track anesthetic-induced unconsciousness independently of the drug used (propofol or esketamine). In 20 patients, type I complexity increased from wakefulness to unconsciousness and decreased upon recovery, while type II complexity showed the opposite pattern. Both measures changed significantly under both anesthetics, suggesting they reflect the state of consciousness rather than the specific drug. These complexity measures may serve as state-related neural correlates of consciousness during general anesthesia.

A practical measure of integrated information reveals alpha-band activity and the posterior cortex as neural correlates of arousal.

NeuroImage July 18, 2025 Xin Wen, Yu Chang, Sijie Li et al. 1 citation

A new measure called Φcopula, which uses a Gaussian copula approach to estimate integrated information, outperforms common estimators by maintaining the lowest bias and mean squared error even in non-Gaussian high-dimensional systems. Applied to electroencephalographic data across awake, propofol-induced unresponsive, and NREM sleep states, alpha-band Φcopula significantly decreased during both anesthesia and sleep. Φcopula-based classifiers distinguished arousal states more accurately than functional connectivity and network efficiency measures. The dorsal attention network and default mode network contributed most to Φcopula, with the cingulate and posterior cortices showing the greatest contributions. The posterior cortex, especially the posterior cingulate cortex, appears critical for arousal-related information integration and consciousness.

Intracranial neural representation of phenomenal and access consciousness in the human brain

bioRxiv April 8, 2024 Zepeng Fang, Yuanyuan Dang, Xiaoli Li et al. 1 citation preprint

Consciousness-related neural activity in the human brain can be separated into two processes: phenomenal consciousness (early, brief awareness) and access consciousness (later, reportable awareness). Using electrodes implanted in epilepsy patients, researchers found that visual awareness-related brain signals appeared at two distinct latencies—short and long—that originate from different brain regions, except in the lateral prefrontal cortex, where both types mix. Early activity was confined to the side of the brain opposite the visual stimulus, while late activity appeared on both sides. Information flowed from early to late sites, supporting a two-stage model of conscious perception and providing the first direct evidence from intracranial recordings for this division.

Distinct effects of global signal regression on brain activity during propofol and sevoflurane anesthesia.

Frontiers in neuroscience January 1, 2025 Fa Lu, Lunxu Li, Juan Wang et al.

Global signal regression (GSR), a common preprocessing step in fMRI analysis, affects brain activity patterns differently depending on the anesthetic agent used. Using fMRI data from patients under general anesthesia, the work shows that GSR alters specific network connections under propofol but broadly reduces connectivity differences under sevoflurane. Network topology analyses reveal that GSR minimally affects propofol-induced changes in graph theoretical measures but significantly diminishes sevoflurane-related network alterations. These findings indicate that GSR's impact on functional brain organization is anesthetic-specific, with sevoflurane-induced changes being particularly sensitive to global signal removal. The results suggest that GSR should be applied cautiously when comparing different anesthetic agents.