Mihai Felicia, Tofan Laurentiu, Barborica Andrei, Oane Irina, Zagrean Ana-Maria, Lentoiu Camelia, Ghita Cristina, Mindruta Ioana
Physics Department, University of Bucharest, Bucharest, Romania.
Neurology Department, Bucharest University Emergency Hospital, Bucharest, Romania; Physiology - Neuroscience Division, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Brain Stimul. 2025 Jul-Aug;18(4):1141-1149. doi: 10.1016/j.brs.2025.05.138. Epub 2025 May 31.
Visual hallucinations are a common symptom in patients with epilepsy. To the best of our knowledge, there are no studies evidencing the functional and effective networks responsible for different characteristics of these manifestations.
OBJECTIVE/HYPOTHESIS: In this study we aim to perform a multi-modal characterization of the networks underlying visual hallucinations that could be used for clinical purposes.
Patients suffering from drug-resistant epilepsy in whom visual hallucinations were elicited by alternating polarity high frequency stimulation (AP-HFS) during stereo-EEG were included. The responses were further classified in 14 clinical categories. We used three methods to characterize functional (FC) and effective connectivity (EC) underlying these clinical responses: non-linear regression analysis using h correlation coefficient (FC), magnitude of evoked responses (high-frequency activation - HFA) and phase-locking value (PLV) during stimulation (EC).
We selected 64 consecutive patients in which we applied the AP-HFS and in 22 patients we elicited 130 visual hallucinations. The majority of visual hallucinations were elementary (n = 112), plus (n = 111), static (n = 82), continuous (n = 83) and non-color (n = 74). HFA method shows the highest magnitude of evoked responses in the primary visual cortex and lingual gyrus. PLV analysis reveals a posterior-anterior gradient of connectivity involving both dorsal and ventral stream. The h FC highlights the remote prefrontal networks involved in cognitive processing of visual information.
We evidenced the networks underlying visual hallucinations with different clinical characteristics. These networks are particularly important for planning stereo-EEG explorations in patients with drug-resistant epilepsy and for functional prognosis in posterior acquired lesions and after surgical resections.
视幻觉是癫痫患者的常见症状。据我们所知,尚无研究证明负责这些表现不同特征的功能和有效网络。
目的/假设:在本研究中,我们旨在对视幻觉背后的网络进行多模态特征描述,以用于临床目的。
纳入在立体脑电图检查期间通过交替极性高频刺激(AP-HFS)诱发视幻觉的耐药性癫痫患者。反应进一步分为14种临床类别。我们使用三种方法来表征这些临床反应背后的功能连接(FC)和有效连接(EC):使用h相关系数的非线性回归分析(FC)、诱发反应的幅度(高频激活-HFA)和刺激期间的锁相值(PLV)(EC)。
我们选择了64例连续应用AP-HFS的患者,其中在22例患者中诱发了130次视幻觉。大多数视幻觉为基本型(n = 112)、加号型(n = 111)、静态(n = 82)、连续(n = 83)和非彩色(n = 74)。HFA方法显示初级视觉皮层和舌回中诱发反应的幅度最高。PLV分析揭示了涉及背侧和腹侧流的后-前连接梯度。h FC突出了参与视觉信息认知处理的远程前额叶网络。
我们证明了具有不同临床特征的视幻觉背后的网络。这些网络对于耐药性癫痫患者的立体脑电图探索规划以及后天性后部病变和手术切除后的功能预后尤为重要。