Spironelli Chiara, Marino Marco, Mantini Dante, Montalti Riccardo, Craven Alexander R, Ersland Lars, Angrilli Alessandro, Hugdahl Kenneth
Department of General Psychology, University of Padova, Padova, Italy.
Padova Neuroscience Center, University of Padova, Padova, Italy.
Schizophrenia (Heidelb). 2023 Oct 30;9(1):75. doi: 10.1038/s41537-023-00401-9.
Although schizophrenia (SZ) represents a complex multiform psychiatric disorder, one of its most striking symptoms are auditory verbal hallucinations (AVH). While the neurophysiological origin of this pervasive symptom has been extensively studied, there is so far no consensus conclusion on the neural correlates of the vulnerability to hallucinate. With a network-based fMRI approach, following the hypothesis of altered hemispheric dominance (Crow, 1997), we expected that LN alterations might result in self-other distinction impairments in SZ patients, and lead to the distressing subjective experiences of hearing voices. We used the independent component analysis of resting-state fMRI data, to first analyze LN connectivity in three groups of participants: SZ patients with and without hallucinations (AVH/D+ and AVH/D-, respectively), and a matched healthy control (HC) group. Then, we assessed the fMRI fluctuations using additional analyses based on fractional Amplitude of Low Frequency-Fluctuations (fALFF), both at the network- and region of interest (ROI)-level. Specific LN nodes were recruited in the right hemisphere (insula and Broca homologous area) for AVH/D+ , but not for HC and AVH/D-, consistent with a left hemisphere deficit in AVH patients. The fALFF analysis at the ROI level showed a negative correlation between fALFF Slow-4 and P1 Delusions PANSS subscale and a positive correlation between the fALFF Slow-5 and P3 Hallucination PANSS subscale for AVH/D+ only. These effects were not a consequence of structural differences between groups, as morphometric analysis did not evidence any group differences. Given the role of language as an emerging property resulting from the integration of many high-level cognitive processes and the underlying cortical areas, our results suggest that LN features from fMRI connectivity and fluctuations can be a marker of neurophysiological features characterizing SZ patients depending on their vulnerability to hallucinate.
尽管精神分裂症(SZ)是一种复杂的多形性精神障碍,但其最显著的症状之一是幻听(AVH)。虽然对这种普遍症状的神经生理学起源已进行了广泛研究,但迄今为止,关于易产生幻觉的神经关联尚无共识性结论。基于网络的功能磁共振成像(fMRI)方法,遵循半球优势改变的假说(Crow,1997),我们预期左颞叶(LN)改变可能导致SZ患者自我与他人区分受损,并引发令人痛苦的幻听主观体验。我们使用静息态fMRI数据的独立成分分析,首先分析三组参与者的LN连接性:有幻觉和无幻觉的SZ患者(分别为AVH/D+和AVH/D-),以及匹配的健康对照(HC)组。然后,我们基于低频振幅分数(fALFF)在网络和感兴趣区域(ROI)层面进行额外分析,评估fMRI波动情况。在右半球(岛叶和布罗卡同源区域),AVH/D+组而非HC组和AVH/D-组招募了特定的LN节点,这与AVH患者左半球缺陷一致。仅在AVH/D+组的ROI层面的fALFF分析显示,fALFF Slow-4与P1妄想PANSS分量表呈负相关,fALFF Slow-5与P3幻觉PANSS分量表呈正相关。这些效应并非组间结构差异的结果,因为形态测量分析未发现任何组间差异。鉴于语言作为由许多高级认知过程及其潜在皮质区域整合产生的新兴属性所起的作用,我们的结果表明,来自fMRI连接性和波动的LN特征可能是表征SZ患者神经生理特征的标志物,具体取决于他们产生幻觉的易感性。