Lioumis Pantelis, Roine Timo, Granö Ida, Aydogan Dogu Baran, Ukharova Elena, Souza Victor H, Kičić Dubravko, Ilmoniemi Risto J, Makris Nikos
Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
BioMag Laboratory, HUS Medical Imaging Center, Aalto University, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Front Neurosci. 2025 Jan 29;19:1517228. doi: 10.3389/fnins.2025.1517228. eCollection 2025.
Neuromodulation is based on the principle that brain stimulation produces plastic changes in cerebral circuitry. Given the intersubject structural and functional variability, neuromodulation has a personalized effect in the brain. Moreover, because of cerebral dominance and interhemispheric functional and structural differences in the same individual, the characterization of specific brain circuitries involved is currently not feasible. This notion is extremely important for neuromodulation treatments applied in neuropsychiatry. Specifically, the efficacy of the neuromodulation treatments is critically dependent on the anatomical precision of the brain target and the circuitry which has been affected by the TMS intervention. Furthermore, for a complete understanding of how the brain behaves under stimulation, the characterization of its neurophysiological response is necessary as well. This goal can be achieved with TMS-EEG guided by current multimodal neuroimaging techniques in real time, namely MRI-based anatomical segmentation and diffusion MRI-based tractographic analysis.
神经调节基于这样一个原理,即大脑刺激会在脑回路中产生可塑性变化。鉴于个体间的结构和功能差异,神经调节在大脑中具有个性化效应。此外,由于同一受试者大脑半球的优势以及半球间功能和结构的差异,目前要确定所涉及的特定脑回路特征是不可行的。这一概念对于应用于神经精神病学的神经调节治疗极为重要。具体而言,神经调节治疗的疗效关键取决于脑靶点的解剖学精度以及经颅磁刺激(TMS)干预所影响的脑回路。此外,为了全面理解大脑在刺激下的行为表现,还需要对其神经生理反应进行特征描述。通过当前的多模态神经成像技术实时引导的TMS-脑电图(EEG),即基于磁共振成像(MRI)的解剖分割和基于扩散MRI的纤维束成像分析,可以实现这一目标。