■痴呆和轻度认知障碍的特征是认知功能下降的症状,通常使用神经心理学评估(NPAs)进行评估,如迷你精神状态检查(MMSE)和正面评估电池(FAB)。脑磁图(MEG)是一种新颖的临床评估技术,可测量大脑活动(总结为振荡参数)。与认知障碍的症状有关。然而,尚未使用临床数据集检查MEG和使用单光子发射计算机断层扫描(SPECT)获得的局部脑血流量(rCBF)数据之间的相关性.因此,本研究旨在探讨MEG振荡参数之间的关系,从rCBF计算的临床验证的生物标志物,和NPA使用从医院记录中检索的门诊数据。
■检索并分析了64名具有混合病理背景的个体的临床数据。MEG振荡参数,包括从δ到高伽马带的相对功率(RP),平均频率,个体阿尔法频率,和香农的谱熵,为每个皮质区域计算。对于SPECT数据,三个病理参数-“严重性”,\'范围\',和“比率”-使用简易z评分成像系统(eZIS)计算。至于NPA,检索MMSE和FAB评分.
■MEG振荡参数与eZIS参数相关。与阿尔茨海默病病理相关的eZIS参数反映在θ功率增加和α峰的较慢位移中。此外,发现MEG振荡参数反映了NPAs。与MMSE和FAB评分相关的神经振荡成分的全球减缓和多样性丧失,而eZIS参数和NPA之间的关联是稀疏的。
■MEG振荡参数与SPECT(即eZIS)参数和NPA相关,支持MEG振荡参数作为病理和症状指标的临床有效性。研究结果表明,MEG振荡特征的各种成分可以提供有价值的病理和症状信息,使MEG数据成为认知障碍患者临床检查的丰富资源。SPECT(即eZIS)参数显示与NPAs无相关性。结果有助于更好地了解认知障碍患者的电生理和病理检查特点,这将有助于促进它们在临床应用中的共同使用,从而改善患者护理。
UNASSIGNED: Dementia and mild cognitive impairment are characterised by symptoms of cognitive decline, which are typically assessed using neuropsychological assessments (NPAs), such as the Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB). Magnetoencephalography (MEG) is a novel clinical assessment technique that measures brain activities (summarised as oscillatory parameters), which are associated with symptoms of cognitive impairment. However, the relevance of MEG and regional cerebral blood flow (rCBF) data obtained using single-photon emission computed tomography (SPECT) has not been examined using clinical datasets. Therefore, this study aimed to investigate the relationships among MEG oscillatory parameters, clinically validated biomarkers computed from rCBF, and NPAs using outpatient data retrieved from hospital records.
UNASSIGNED: Clinical data from 64 individuals with mixed pathological backgrounds were retrieved and analysed. MEG oscillatory parameters, including relative power (RP) from delta to high gamma bands, mean frequency, individual alpha frequency, and Shannon\'s spectral entropy, were computed for each cortical region. For SPECT data, three pathological parameters-\'severity\', \'extent\', and \'ratio\'-were computed using an easy z-score imaging system (eZIS). As for NPAs, the MMSE and FAB scores were retrieved.
UNASSIGNED: MEG oscillatory parameters were correlated with eZIS parameters. The eZIS parameters associated with Alzheimer\'s disease pathology were reflected in theta power augmentation and slower shift of the alpha peak. Moreover, MEG oscillatory parameters were found to reflect NPAs. Global slowing and loss of diversity in neural oscillatory components correlated with MMSE and FAB scores, whereas the associations between eZIS parameters and NPAs were sparse.
UNASSIGNED: MEG oscillatory parameters correlated with both SPECT (i.e. eZIS) parameters and NPAs, supporting the clinical validity of MEG oscillatory parameters as pathological and symptomatic indicators. The findings indicate that various components of MEG oscillatory characteristics can provide valuable pathological and symptomatic information, making MEG data a rich resource for clinical examinations of patients with cognitive impairments. SPECT (i.e. eZIS) parameters showed no correlations with NPAs. The results contributed to a better understanding of the characteristics of electrophysiological and pathological examinations for patients with cognitive impairments, which will help to facilitate their co-use in clinical application, thereby improving patient care.