Manippa Valerio, Scaramuzzi Giorgia Francesca, Scianatico Gaetano, Cornacchia Ester, Spina Anna Concetta, Taurisano Paolo, Logroscino Giancarlo, Rivolta Davide
Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy.
Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Cardinale G. Panico", Lecce, Italy.
Cogn Neurodyn. 2025 Dec;19(1):138. doi: 10.1007/s11571-025-10313-2. Epub 2025 Aug 26.
Resting-state EEG (rsEEG) provides insights into neural mechanisms underlying memory by reflecting intrinsic brain activity. This study tested whether rsEEG spectral power and theta-gamma phase-amplitude coupling (PAC) can predict memory performance in healthy adults.
Twenty-four healthy adults participated in two rsEEG recording sessions, followed by memory tests assessing multimodal Working Memory (WM), Immediate Recall (IR), and Delayed Recall (DR). The predictive value of rsEEG spectral power across frequency bands and theta-gamma PAC was analyzed in relation to memory performance.
High-gamma (h-γ, 51-100 Hz) power significantly predicted IR and DR, accounting for over 43% of the variance. Temporal and frontal h-γ power positively correlated with memory performance, while posterior h-γ power showed a negative correlation. Temporal low-gamma (30-49 Hz) power positively predicted DR, and posterior and frontal theta power was significantly linked to IR. Other frequency bands showed marginal associations, and theta-gamma PAC had limited predictive value.
Spontaneous gamma activity emerged as a key predictor of memory performance in healthy adults, highlighting the role of brain networks in encoding and retrieval processes.
The online version contains supplementary material available at 10.1007/s11571-025-10313-2.
静息态脑电图（rsEEG）通过反映大脑内在活动，为探究记忆背后的神经机制提供了线索。本研究旨在测试rsEEG频谱功率和θ-γ相位-幅度耦合（PAC）是否能够预测健康成年人的记忆表现。
24名健康成年人参加了两次rsEEG记录实验，随后进行了记忆测试，评估多模态工作记忆（WM）、即时回忆（IR）和延迟回忆（DR）。分析了rsEEG跨频段频谱功率和θ-γ PAC与记忆表现之间的预测价值。
高伽马（h-γ，51-100Hz）功率显著预测了IR和DR，解释了超过43%的方差。颞叶和额叶的h-γ功率与记忆表现呈正相关，而后部h-γ功率呈负相关。颞叶低伽马（30-49Hz）功率正向预测DR，后部和额叶的θ功率与IR显著相关。其他频段显示出边缘关联，且θ-γ PAC的预测价值有限。
自发伽马活动是健康成年人记忆表现的关键预测指标，突出了脑网络在编码和检索过程中的作用。
在线版本包含可在10.1007/s11571-025-10313-2获取的补充材料。
