Low frequency transcranial magnetic stimulation of right posterior parietal cortex reduces reaction time to perithreshold low spatial frequency visual stimuli

EEG cortical network reveals the temporo-spatial mechanism of visual search

This study aims to explore a method based on brain networks for implicit attention by using wavelet coherence as feature to identify individual targets in the visual field, find the optimal classification rhythm and time window, and investigate the relationship between the optimal rhythm and N2pc event-related potential. The study uses a weighted minimum norm estimate to locate the sources of the scalp EEG and reconstructs the source time series. The functional connectivity between brain areas during the visual search process is evaluated using wavelet coherence analysis, and a lateral difference network is constructed based on the difference in coherence values between the left and right visual fields. A support vector machine classifier is trained based on the wavelet coherence network features to identify the target in the left or right visual field. We also extract N2pc from the source activity data of the parieto-occipital brain region and record the time period in which N2pc occurred. The study finds that the best classification performance is achieved in the theta rhythm from 200 to 400 ms and achieved an average classification accuracy of 87% (chance level: 51.07%) in a serial search task. And this time window corresponds to the time period when N2pc appeared. The results show that the use of wavelet coherence analysis to evaluate the functional connectivity between brain areas during the visual search process provides a new approach for analyzing brain activity. The study's findings regarding the relationship between the N2pc and theta rhythm and the effectiveness of using wavelet coherence network features based on the theta rhythm for visual search classification contribute to the understanding of the neural mechanisms underlying visual search.

Update Research Advances in the Application of Transcranial Magnetic Stimulation in the Treatment of Schizophrenia

Schizophrenia presents a chronic progressive course and requires long-term treatment. The current treatment of schizophrenia is mainly based on antipsychotic drugs, but drugs are ineffective for the negative symptoms and cognitive dysfunction of schizophrenia, and long-term medication may increase the burden on the endocrine and circulatory systems of patients. Repetitive transcranial magnetic stimulation is a noninvasive, painless, safe, efficacious, and economical physical therapy measure that has achieved good results in the treatment of schizophrenia. This paper reviews the progress of research on the clinical application of transcranial magnetic stimulation in the treatment of schizophrenia.

The Effects of Low-Intensity Multimodal Proprioceptive Exercise on Cognitive Function in Older Adults

BACKGROUND

Physical activity provides a number of physical and psychological benefits. Multimodal proprioceptive exercise represents a useful balance-based exercise with the potential to reduce falls in older adults. Previous research has also indicated cognitive benefits following multimodal proprioceptive exercise in young and older adults. This study aimed to assess cognition and mood following 2 types of physical activity (multimodal proprioception vs yoga) compared with control (classroom-based) in healthy older adults.

METHOD

Nineteen older adults (Mage = 65, sex = 9 males) participated in this randomized controlled crossover trial. Participants completed a 20-minute multimodal proprioceptive exercise class, 20-minute yoga session, and 20-minute classroom-based control. Numeric working memory and mood were assessed before and immediately following each of the interventions.

RESULTS

The multimodal proprioceptive intervention significantly reduced numeric working memory reaction time versus the yoga (P = .043) and control (P = .023) group. There were no differences found for accuracy or mood.

CONCLUSIONS

These results indicate that multimodal proprioceptive exercise is worthy of further investigation as an alternative mode of exercise alongside the more traditional aerobic and strength-based exercise for healthy older adults.