Department of Anesthesiology, University of Wisconsin, Madison, WI, USA.
Department of Psychology, University of Wisconsin, Madison, WI, USA.
Br J Anaesth. 2022 Jun;128(6):1006-1018. doi: 10.1016/j.bja.2022.01.010. Epub 2022 Feb 9.
How conscious experience becomes disconnected from the environment, or disappears, across arousal states is unknown. We sought to identify the neural correlates of sensory disconnection and unconsciousness using a novel serial awakening paradigm.
Volunteers were recruited for sedation with dexmedetomidine i.v., propofol i.v., or natural sleep with high-density EEG monitoring and serial awakenings to establish whether subjects were in states of disconnected consciousness or unconsciousness in the preceding 20 s. The primary outcome was classification of conscious states by occipital delta power (0.5-4 Hz). Secondary analyses included derivation (dexmedetomidine) and validation (sleep/propofol) studies of EEG signatures of conscious states.
Occipital delta power differentiated disconnected and unconscious states for dexmedetomidine (area under the curve [AUC] for receiver operating characteristic 0.605 [95% confidence interval {CI}: 0.516; 0.694]) but not for sleep/propofol (AUC 0.512 [95% CI: 0.380; 0.645]). Distinct source localised signatures of sensory disconnection (AUC 0.999 [95% CI: 0.9954; 1.0000]) and unconsciousness (AUC 0.972 [95% CI: 0.9507; 0.9879]) were identified using support vector machine classification of dexmedetomidine data. These findings generalised to sleep/propofol (validation data set: sensory disconnection [AUC 0.743 {95% CI: 0.6784; 0.8050}]) and unconsciousness (AUC 0.622 [95% CI: 0.5176; 0.7238]). We identified that sensory disconnection was associated with broad spatial and spectral changes. In contrast, unconsciousness was associated with focal decreases in activity in anterior and posterior cingulate cortices.
These findings may enable novel monitors of the anaesthetic state that can distinguish sensory disconnection and unconsciousness, and these may provide novel insights into the biology of arousal.
NCT03284307.
在觉醒状态下,意识体验如何与环境脱节或消失尚不清楚。我们试图使用一种新的连续唤醒范式来确定感觉分离和无意识的神经相关性。
通过静脉注射右美托咪定、异丙酚或自然睡眠,招募志愿者进行镇静,同时进行高密度脑电图监测和连续唤醒,以确定受试者在前 20 秒内是否处于意识分离或无意识状态。主要结局是通过枕部δ功率(0.5-4 Hz)对意识状态进行分类。次要分析包括意识状态脑电图特征的推导(右美托咪定)和验证(睡眠/异丙酚)研究。
枕部δ功率可区分右美托咪定的意识分离和无意识状态(受试者工作特征曲线下面积[AUC]为 0.605 [95%置信区间{CI}:0.516;0.694]),但不能区分睡眠/异丙酚(AUC 0.512 [95% CI:0.380;0.645])。使用右美托咪定数据的支持向量机分类,确定了感觉分离(AUC 0.999 [95% CI:0.9954;1.0000])和无意识(AUC 0.972 [95% CI:0.9507;0.9879])的独特源定位特征。这些发现可推广至睡眠/异丙酚(验证数据集:感觉分离[AUC 0.743 {95% CI:0.6784;0.8050}])和无意识(AUC 0.622 [95% CI:0.5176;0.7238])。我们发现感觉分离与广泛的空间和频谱变化有关。相比之下,无意识与前扣带和后扣带皮质的局部活动减少有关。
这些发现可能为能够区分感觉分离和无意识的麻醉状态提供新型监测手段,为觉醒的生物学提供新的见解。
NCT03284307。