Badawy Mohamed, Kim Ian T, Amir Alon, Herzallah Mohammad M, Gomez-Alatorre Luisa F, Headley Drew B, Paré Denis
Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, 07102, USA.
Palestinian Neuroscience Initiative, Al-Quds University, Jerusalem, Palestine.
Sci Rep. 2025 Jan 13;15(1):1772. doi: 10.1038/s41598-025-85914-2.
In vitro studies have shown that a neuron's electroresponsive properties can predispose it to oscillate at specific frequencies. In contrast, network activity in vivo can entrain neurons to rhythms that their biophysical properties do not predispose them to favor. However, there is limited information on the comparative frequency profile of unit entrainment across brain regions. Therefore, this study aimed to characterize the frequency profile of unit entrainment in cortex, thalamus, striatum, and basolateral amygdala (BLA) in rats of either sex. Neurons recorded simultaneously in a given brain region and behavioral state generally had very similar frequency profiles of unit entrainment. While cortical, striatal, and thalamic neurons were more strongly entrained by low than high local field potential (LFP) frequencies, increases in the power of these oscillations were linked to decreased firing rates for low frequencies versus increased firing rates for high frequencies. Deviating from this general trend, BLA neurons were more strongly entrained by high gamma than all other frequency bands in all subjects and states. By contrast, neurons in other regions displayed marked inter-individual variability. That is, although neurons in some regions had exceptionally high entrainment values in particular frequency bands, these were not observed consistently across rats. Based on these findings, some might infer that oscillations play a minor role or that different oscillatory patterns can support the same functions. Alternatively, the oscillations critical to brain function could be those not investigated here, namely those arising transiently in response to specific task variables or contexts. Perhaps those are less susceptible to genetic variations. While our findings do not allow us to determine which explanation is correct, they do highlight the perils of averaging.
体外研究表明,神经元的电反应特性可使其倾向于以特定频率振荡。相比之下,体内的网络活动可使神经元被其生物物理特性并不倾向的节律所牵引。然而,关于不同脑区单位牵引的比较频率分布的信息有限。因此,本研究旨在描述雌雄大鼠大脑皮层、丘脑、纹状体和基底外侧杏仁核(BLA)中单位牵引的频率分布特征。在给定脑区和行为状态下同时记录的神经元通常具有非常相似的单位牵引频率分布。虽然皮层、纹状体和丘脑神经元被低局部场电位(LFP)频率牵引的程度高于高频率,但这些振荡功率的增加与低频时放电率降低以及高频时放电率增加有关。与这一总体趋势不同的是,在所有受试者和状态下,BLA神经元被高伽马频率牵引的程度高于所有其他频段。相比之下,其他区域的神经元表现出明显的个体间差异。也就是说,尽管某些区域的神经元在特定频段具有异常高的牵引值,但在不同大鼠中并未一致观察到这些情况。基于这些发现,一些人可能会推断振荡起的作用较小,或者不同的振荡模式可以支持相同的功能。或者,对脑功能至关重要的振荡可能是这里未研究的那些,即那些因特定任务变量或情境而短暂出现的振荡。也许那些振荡对基因变异不太敏感。虽然我们的发现无法让我们确定哪种解释是正确的,但它们确实凸显了平均化的风险。