MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1111/cns.14251

Медицинская библиотека · CNS neuroscience & therapeutics · 2023

Drooling disrupts the brain functional connectivity network in Parkinson's disease.

Huang Ting, Tang Li-Li, Zhao Jin-Ying, Shang Song An, Chen Yu-Chen, Tian You-Yong, Zhang Ying-Dong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

AIMS: This study aimed to investigate the causal interaction between significant sensorimotor network (SMN) regions and other brain regions in Parkinson's disease patients with drooling (droolers).

METHODS

Twenty-one droolers, 22 PD patients without drooling (non-droolers), and 22 matched healthy controls underwent 3T-MRI resting-state scans. We performed independent component analysis and Granger causality analysis to determine whether significant SMN regions help predict other brain areas. Pearson's correlation was computed between imaging characteristics and clinical characteristics. ROC curves were plotted to assess the diagnostic performance of effective connectivity (EC).

RESULTS

Compared with non-droolers and healthy controls, droolers showed abnormal EC of the right caudate nucleus (CAU.R) and right postcentral gyrus to extensive brain regions. In droolers, increased EC from the CAU.R to the right middle temporal gyrus was positively correlated with MDS-UPDRS, MDS-UPDRS II, NMSS, and HAMD scores; increased EC from the right inferior parietal lobe to CAU.R was positively correlated with MDS-UPDRS score. ROC curve analysis showed that these abnormal ECs are of great significance in diagnosing drooling in PD.

CONCLUSION

This study identified that PD patients with drooling have abnormal EC in the cortico-limbic-striatal-cerebellar and cortio-cortical networks, which could be potential biomarkers for drooling in PD.

Для цитирования: Huang Ting, Tang Li-Li, Zhao Jin-Ying, Shang Song An, Chen Yu-Chen, Tian You-Yong, Zhang Ying-Dong. Drooling disrupts the brain functional connectivity network in Parkinson's disease.. CNS neuroscience & therapeutics. 2023. DOI: 10.1111/cns.14251.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.