Alitto Henry J, Sanchez Alyssa N, Alexander Prescot C, Usrey W Martin
bioRxiv. 2025 Jul 13:2025.07.08.663741. doi: 10.1101/2025.07.08.663741.
Neuronal oscillations are a ubiquitous feature of thalamocortical networks and can be dynamically modulated across processing states, enabling thalamocortical communication to flexibly adapt to varying environmental and behavioral demands. The lateral geniculate nucleus (LGN), like all thalamic nuclei, engages in reciprocal synaptic interactions with the cortex, relaying retinal information to and receiving feedback input from primary visual cortex (V1). While retinal excitation is the primary driver of LGN activity, retinal synapses represent a minority of the total synaptic input onto LGN neurons, allowing for both retinogeniculate and geniculocortical signals to be influenced by nonretinal sources. To gain a holistic view of network processing in the geniculocortical pathway, we performed simultaneous extracellular recordings from the LGN and V1 of behaving macaque monkeys, measuring local field potentials (LFPs) and spiking activity. These recordings revealed prominent beta-band oscillations coherent between the LGN and V1 that influenced spike timing in the LGN and were statistically consistent with a feedforward process from the LGN to V1. These thalamocortical oscillations were suppressed by visual stimulation, spatial attention, and behavioral arousal, strongly suggesting that these oscillations are not a feature of active visual processing. Instead, they appear analogous to occipital lobe, alpha oscillations recorded in humans and may represent a signature of signal suppression that occurs during periods of low engagement or active distractor suppression.
Oscillations within thalamocortical networks in the awake state are generally believed to enhance communication between the thalamus and cortex, allowing circuits to flexibly respond to changes in sensory, behavioral, and cognitive demands. Here, we show that oscillations within and between the LGN and V1 are suppressed by increases in visual stimulation, increases in behavioral arousal, and shifts in covert spatial attention. We therefore conclude that these oscillations are not a mechanism to enhance the transmission of retinal information through the LGN to V1. Instead, we propose that they are a signature of signal suppression that occurs when network engagement is low or during active distractor suppression.
神经元振荡是丘脑皮质网络普遍存在的特征,并且可以在不同处理状态下动态调节,使丘脑皮质通信能够灵活适应不断变化的环境和行为需求。外侧膝状体核(LGN)与所有丘脑核一样,与皮质进行双向突触相互作用,将视网膜信息传递到初级视觉皮质(V1)并接收来自V1的反馈输入。虽然视网膜兴奋是LGN活动的主要驱动因素,但视网膜突触仅占LGN神经元总突触输入的一小部分,这使得视网膜膝状体信号和膝状体皮质信号都能受到非视网膜来源的影响。为了全面了解膝状体皮质通路中的网络处理过程,我们对行为猕猴的LGN和V1进行了同步细胞外记录,测量局部场电位(LFP)和尖峰活动。这些记录揭示了LGN和V1之间显著的β波段振荡,这种振荡影响了LGN中的尖峰时间,并且在统计学上与从LGN到V1的前馈过程一致。这些丘脑皮质振荡受到视觉刺激、空间注意力和行为唤醒的抑制,强烈表明这些振荡不是主动视觉处理的特征。相反,它们似乎类似于在人类中记录到的枕叶α振荡,可能代表了在参与度较低或主动抑制干扰物期间发生的信号抑制特征。
清醒状态下丘脑皮质网络内的振荡通常被认为可增强丘脑与皮质之间的通信,使神经回路能够灵活应对感觉、行为和认知需求的变化。在这里,我们表明,视觉刺激增加、行为唤醒增加和隐蔽空间注意力转移会抑制LGN和V1内部及之间的振荡。因此,我们得出结论,这些振荡不是增强视网膜信息从LGN传递到V1的机制。相反,我们提出它们是当网络参与度较低或在主动抑制干扰物期间发生的信号抑制特征。