Cortical excitability and plasticity in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis of transcranial magnetic stimulation studies

Chou, Ying-hui; Sundmana, Mark; That, Viet Ton; Greena, Jacob; Trapani, Chrisopher

doi:10.1016/j.arr.2022.101660

Cited by 35 publications

(14 citation statements)

References 186 publications

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“…In a meta-analysis of the value of transcranial magnetic stimulation–derived excitability and plasticity measures to distinguish AD, MCI, and normal cognition, 61 studies (n=2728 participants) included 1454 patients with AD, 163 patients with MCI, and 1111 cognitively normal individuals. 164 Patients with AD had significantly lower resting motor threshold (Cohen d=1.05 [ P <0.0001]), lower active motor threshold (Cohen d=0.77 [ P <0.0001]), lower short latency afferent inhibition (Cohen d=1.89 [ P <0.0001]), lower short-latency intracortical inhibition (Cohen d=0.68 [ P <0.01]), and lower long-term potentiation-like plasticity (Cohen d=1.20 [ P <0.0001]) compared with cognitively normal individuals. Patients with MCI had lower resting motor threshold (Cohen d=0.39 [ P <0.005]) and lower long-term potentiation-like plasticity (Cohen d=0.86 [ P <0.05]) compared with cognitively normal individuals.…”

Section: Brain Healthmentioning

confidence: 99%

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Martin,

Aday,

Almarzooq

et al. 2024

Circulation

476

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BACKGROUND: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS: The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year’s worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year’s edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

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Section: Brain Healthmentioning

confidence: 99%

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Martin,

Aday,

Almarzooq

et al. 2024

Circulation

476

View full text Add to dashboard Cite

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“…TMS stimulation led to pronounced excitability in the DLPFC [73], a crucial element in cortical plasticity and cognitive function [74]. The findings suggest that rTMS holds promise as an efficacious intervention for AD by augmenting cortical excitability [19,[75][76][77] and enduring neuroplasticity alterations [51,78,79]. Furthermore, some studies indicated that post-TMS treatment, neural activity in the anterior cingulate cortex was enhanced, brain oscillations in the beta band intensified, and functional connections between the anterior cingulate cortex and medial frontal lobe region of the default mode network (DMN) were transformed [80].…”

Section: Discussionmentioning

confidence: 96%

Unlocking the Potential of Repetitive Transcranial Magnetic Stimulation in Alzheimer’s Disease: A Meta-Analysis of Randomized Clinical Trials to Optimize Intervention Strategies

Li,

Lan,

Liu

et al. 2024

JAD

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Background: Repetitive transcranial magnetic stimulation (rTMS) is an advanced and noninvasive technology that uses pulse stimulation to treat cognitive impairment. However, its specific effects have always been mixed with those of cognitive training, and the optimal parameter for Alzheimer’s disease (AD) intervention is still ambiguous. Objective: This study aimed to summarize the therapeutic effects of pure rTMS on AD, excluding the influence of cognitive training, and to develop a preliminary rTMS treatment plan. Methods: Between 1 January 2010 and 28 February 2023, we screened randomized controlled clinical trials from five databases (PubMed, Web of Science, Embase, Cochrane, and ClinicalTrials. gov). We conducted a meta-analysis and systematic review of treatment outcomes and rTMS treatment parameters. Result: A total of 4,606 articles were retrieved. After applying the inclusion and exclusion criteria, 16 articles, comprising 655 participants (308 males and 337 females), were included in the final analysis. The findings revealed that rTMS significantly enhances both global cognitive ability (p = 0.0002, SMD = 0.43, 95% CI = 0.20–0.66) and memory (p = 0.009, SMD = 0.37, 95% CI = 0.09–0.65). Based on follow-up periods of at least 6 weeks, the following stimulation protocols have demonstrated efficacy for AD: stimulation sites (single or multiple targets), frequency (20 Hz), stimulation time (1–2 s), interval (20–30 s), single pulses (≤2500), total pulses (>20000), duration (≥3 weeks), and sessions (≥20). Conclusions: This study suggests that rTMS may be an effective treatment option for patients with AD, and its potential therapeutic capabilities should be further developed in the future.

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“…Based on a study using transcranial magnetic stimulation, cortical inhibition is weakened in AD patients, and the cortical excitability is significantly higher than that of elderly individuals with normal cognition. Lower cognitive performance is significantly associated with higher cortical excitability and lower inhibition ( Spires-Jones and Knafo, 2012 ; Chou et al, 2022 ). These results are consistent with the findings from our study that the stability of major states in the network associated with cognitive function is disrupted in patients with AD compared with normal subjects, and the patient’s brain is unable to easily suppress this active abnormal activity.…”

Section: Discussionmentioning

confidence: 99%

Triple-network analysis of Alzheimer’s disease based on the energy landscape

Li¹,

An²,

Zhou³

et al. 2023

Front. Neurosci.

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IntroductionResearch on the brain activity during resting state has found that brain activation is centered around three networks, including the default mode network (DMN), the salient network (SN), and the central executive network (CEN), and switches between multiple modes. As a common disease in the elderly, Alzheimer’s disease (AD) affects the state transitions of functional networks in the resting state.MethodsEnergy landscape, as a new method, can intuitively and quickly grasp the statistical distribution of system states and information related to state transition mechanisms. Therefore, this study mainly uses the energy landscape method to study the changes of the triple-network brain dynamics in AD patients in the resting state.ResultsAD brain activity patterns are in an abnormal state, and the dynamics of patients with AD tend to be unstable, with an unusually high flexibility in switching between states. Also , the subjects’ dynamic features are correlated with clinical index.DiscussionThe atypical balance of large-scale brain systems in patients with AD is associated with abnormally active brain dynamics. Our study are helpful for further understanding the intrinsic dynamic characteristics and pathological mechanism of the resting-state brain in AD patients.

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Cortical excitability and plasticity in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis of transcranial magnetic stimulation studies

Cited by 35 publications

References 186 publications

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

Unlocking the Potential of Repetitive Transcranial Magnetic Stimulation in Alzheimer’s Disease: A Meta-Analysis of Randomized Clinical Trials to Optimize Intervention Strategies

Triple-network analysis of Alzheimer’s disease based on the energy landscape

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