Exploring the potential of combining transcranial magnetic stimulation and electroencephalography to investigate mild cognitive impairment and Alzheimer’s disease: a systematic review

• Published in: GeroScience Vol. 46; no. 4; pp. 3659 - 3693
• Main Authors: Hall, J. D., Green, Jacob M., Chen, Yu-Chin A., Liu, Yilin, Zhang, Hangbin, Sundman, Mark H., Chou, Ying-hui
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 15.02.2024; Springer Nature B.V
• Subjects: Age; Alzheimer's disease; Biomedical and Life Sciences; Cell Biology; Cognitive ability; EEG; Electroencephalography; Excitability; Geriatrics/Gerontology; Life Sciences; Magnetic fields; Molecular Medicine; Neural networks; Neural plasticity; Neurodegenerative diseases; Neuromodulation; Original; Original Article; Reviews; Transcranial magnetic stimulation; Biomarker; Electroencephalography; Transcranial magnetic stimulation; Alzheimer’s disease; Mild cognitive impairment
• ISSN: 2509-2723; 2509-2715; 2509-2723
• DOI: 10.1007/s11357-024-01075-6

Transcranial magnetic stimulation (TMS) and electroencephalography (EEG) are non-invasive techniques used for neuromodulation and recording brain electrical activity, respectively. The integration of TMS-EEG has emerged as a valuable tool for investigating the complex mechanisms involved in age-related disorders, such as mild cognitive impairment (MCI) and Alzheimer’s disease (AD). By systematically synthesizing TMS-EEG studies, this review aims to shed light on the neurophysiological mechanisms underlying MCI and AD, while also exploring the practical applications of TMS-EEG in clinical settings. PubMed, ScienceDirect, and PsychInfo were selected as the databases for this review. The 22 eligible studies included a total of 592 individuals with MCI or AD as well as 301 cognitively normal adults. TMS-EEG assessments unveiled specific patterns of corticospinal excitability, plasticity, and brain connectivity that distinguished individuals on the AD spectrum from cognitively normal older adults. Moreover, the TMS-induced EEG features were observed to be correlated with cognitive performance and the presence of AD pathological biomarkers. The comprehensive examination of the existing studies demonstrates that the combination of TMS and EEG has yielded valuable insights into the neurophysiology of MCI and AD. This integration shows great potential for early detection, monitoring disease progression, and anticipating response to treatment. Future research is of paramount importance to delve into the potential utilization of TMS-EEG for treatment optimization in individuals with MCI and AD.