磁刺激
痴呆
临床痴呆评级
评定量表
心理学
蒙特利尔认知评估
帕金森病
物理医学与康复
认知
听力学
医学
物理疗法
认知障碍
神经科学
疾病
刺激
内科学
发展心理学
作者
Eman M. Khedr,Khaled O. Mohamed,Asem Ali,Asmaa Hasan
出处
期刊:Restorative Neurology and Neuroscience
[IOS Press]
日期:2020-02-11
卷期号:38 (1): 55-66
被引量:19
摘要
Background:The exact mechanism of cognitive impairment in PD is not known. Repetitive transcranial magnetic stimulation (rTMS) has been proposed as a possible treatment for cognitive impairment and to treat the motor symptoms in Parkinson’s disease (PD) where its effects seem additive to those of d opaminergic medications. Objective:In this pilot study we investigated whether repeated sessions of rTMS have an effect on measures of cognitive impairment in patients with PD dementia. Methods:33 patients with PD dementia were randomly assigned sham or real rTMS (2000 pulses; 20 Hz; 90% RMT; 10 trains of 10 s with 25 s between each train) over the hand area of each motor cortex (5 min between hemispheres) for 10 days (5 days/week) followed by 5 booster sessions every month for 3 months. Assessments included the Unified Parkinson’s Disease Rating Scale part III (UPDRS), Montreal Cognitive Assessment (MoCA); Mini Mental State Examination (MMSE), Clinical Dementia Rating Scale (CDR); Memory and Executive Screening (MES) and Instrumental activity of Daily Living (IADL). Event related potentials (P300) and cortical excitability were measured before treatment and after the last session. Results:There were no significant differences in the effects of rTMS between groups. Although rTMS improved motor function in the active group it had only a minor effect on two of the dementia rating scores (the MMSE and MoCA) but not the others (CDR and MES). There was also a reduction in the latency of the P300 in the active group. Conclusions:rTMS over M1 is useful for motor function and may have a small positive effect on cognition. However, better approaches for the latter are necessary, may be require multisite rTMS to target both motor and frontal cortical region.
科研通智能强力驱动
Strongly Powered by AbleSci AI