Microstimulation reveals anesthetic state-dependent effective connectivity of neurons in cerebral cortex.
Frontiers in neuroscience January 1, 2024 DOI: 10.3389/fnins.2024.1387098 via PubMed
Summary
AI-generated from the abstractIntracortical microstimulation in rat visual cortex reveals that anesthesia dramatically reduces the density and complexity of effective connectivity among neurons compared to wakefulness. Stimulation caused an early increase in spiking followed by a prolonged decrease. Excitatory neurons' early responses decayed rapidly with distance under all conditions. Network motifs, especially higher-order ones, increased substantially as anesthesia was withdrawn, indicating a large increase in network connectivity as animals woke up. The findings illuminate how anesthesia impacts the functional integrity of local cortical circuits, affecting the state of consciousness.
Study at a glance
| Characteristics | In vivo electrophysiology with microstimulation across anesthetic states Peer reviewed |
|---|---|
| Population | Rat visual cortex neurons in layers 5/6 |
| Keywords | Anesthesia Connectivity Consciousness Cortex Microstimulation |
| Key finding | Effective connectivity among neurons is dense in wakefulness and sparse under anesthesia, with higher-order network motifs increasing rapidly as anesthesia is withdrawn. |
Abstract
Complex neuronal interactions underlie cortical information processing that can be compromised in altered states of consciousness. Here intracortical microstimulation was applied to investigate anesthetic state-dependent effective connectivity of neurons in rat visual cortex in vivo. Extracellular activity was recorded at 32 sites in layers 5/6 while stimulating with charge-balanced discrete pulses at each electrode in random order. The same stimulation pattern was applied at three levels of anesthesia with desflurane and in wakefulness. Spikes were sorted and classified by their waveform features as putative excitatory and inhibitory neurons. Network motifs were identified in graphs of effective connectivity constructed from monosynaptic cross-correlograms. Microstimulation caused early (<10 ms) increase followed by prolonged (11-100 ms) decrease in spiking of all neurons throughout the electrode array. The early response of excitatory but not inhibitory neurons decayed rapidly with distance from the stimulation site over 1 mm. Effective connectivity of neurons with significant stimulus response was dense in wakefulness and sparse under anesthesia. The number of network motifs, especially those of higher order, increased rapidly as the anesthesia was withdrawn indicating a substantial increase in network connectivity as the animals woke up. The results illuminate the impact of anesthesia on functional integrity of local cortical circuits affecting the state of consciousness.