2010). Additionally, the CMI method quantifies information transmitted from one electrode to another, and it is good at assessing the strength of synchronization among areas that reflected precisely the coupling of these areas by corticocortical connections (Singer 1999; Jeong et al. 2001; Jin et al. 2010). Broadband filtered data have been used to calculate the CMI in the multichannel EEG recordings of participants. In previous Inhibitors,research,lifescience,medical studies, theta (θ) and beta (β) frequency bands were analyzed to (+)-JQ1 explore the differences between healthy participants and patients with MCI (Kowalski et al. 2001; Pijnenburga et al. 2004; Jelles et al. 2008). However, the use of delta (δ) and alpha (α) frequency

bands to investigate the changes Inhibitors,research,lifescience,medical between MCI and normal aging is still under debate (Kowalski et al. 2001; Babiloni et al. 2006). Kowalski et al. (2001) demonstrated that there is no relationship between the presence of δ waves and the level of cognitive impairment. On the contrary, Babiloni et al. (2006) implied that δ waves may be correlated with MCI disease-related features. Therefore, this study aimed to clarify which frequency bands and corticocortical connections of task-related brain oscillations reflect the age- and MCI disease-related changes using CMI analysis. The past study of spontaneous brain oscillatory activity in a resting state has provided useful information for aging- and disease-related selleckbio research, yet a more comprehensive Inhibitors,research,lifescience,medical explanation of real-life evocation

of brain oscillations is needed in ERP studies (Basar and Guntekin 2008). Greater attention is being paid to evoke oscillatory activity in the brain while performing cognitive tasks in healthy aging people and people with disease-related changes (Phillips and Andrés 2010). Hence, this Inhibitors,research,lifescience,medical study focuses

on task-related brain oscillations to investigate the age- and disease-related features. We hypothesized that task-related brain oscillations and corticocortical connections Inhibitors,research,lifescience,medical are affected by age- and disease-related changes, which can be reflected with the CMI analysis. To our knowledge, this study represents the first study of brain oscillation in participants with age- and disease-related changes using the CMI analysis of task-related brain oscillations. Materials and Methods Participants This study recruited three groups of participants: one consisting of 16 younger individuals Cilengitide (mean age ± SD: 22.5 ± 2.7 years; 6 female and 10 male), another of 15 elderly people (mean age ± SD: 70.1 ± 8.5 years; 5 female and 10 male), and the other of 16 MCI patients (mean age ± SD: 79.3 ± 8.5 years; 6 female and 10 male). All participants underwent the Chinese version of the Mini-Mental Status Examination (MMSE) (Folstein et al. 1975). The MCI group had a mean MMSE score of 25.4 ± 2.1 (possible range 0–30), while the elderly group had a mean MMSE score of 29.2 ± 0.7 with a score of 30 for the younger group. The MCI patients were diagnosed at the Kaohsiung Veterans General Hospital, Taiwan.