Repetitive transcranial magnetic stimulation (rTMS) is emerging as a non-invasive therapeutic strategy in the battle against Alzheimer’s disease. Alzheimer’s disease patients primarily show alterations of the default mode network for which the precuneus is a key node. Here, we hypothesized that targeting the precuneus with TMS represents a promising strategy to slow down cognitive and functional decline in Alzheimer’s disease patients. We performed a randomized, double-blind, sham-controlled, phase 2, 24-week trial to determine the safety and efficacy of precuneus stimulation in patients with mild-to-moderate Alzheimer’s disease. Fifty Alzheimer’s disease patients were randomly assigned in a 1:1 ratio to either receive precuneus or sham rTMS (mean age 73.7 years; 52% female). The trial included a 24-week treatment, with a 2-week intensive course in which rTMS (or sham) was applied daily five times per week, followed by a 22-week maintenance phase in which stimulation was applied once weekly. The Clinical Dementia Rating Scale–Sum of Boxes was selected as the primary outcome measure, in which post-treatment scores were compared to baseline. Secondary outcomes included score changes in the Alzheimer’s Disease Assessment Scale–Cognitive Subscale, Mini-Mental State Examination and Alzheimer’s Disease Cooperative Study–Activities of Daily Living scale. Moreover, single-pulse TMS in combination with EEG was used to assess neurophysiological changes in precuneus cortical excitability and oscillatory activity. Our findings show that patients that received precuneus repetitive magnetic stimulation presented a stable performance of the Clinical Dementia Rating Scale–Sum of Boxes score, whereas patients treated with sham showed a worsening of their score. Compared with the sham stimulation, patients in the precuneus stimulation group also showed also significantly better performances for the secondary outcome measures, including the Alzheimer’s Disease Assessment Scale–Cognitive Subscale, Mini-Mental State Examination and Alzheimer’s Disease Cooperative Study–Activities of Daily Living scale. Neurophysiological results showed that precuneus cortical excitability remained unchanged after 24 weeks in the precuneus stimulation group, whereas it was significantly reduced in the sham group. Finally, we found an enhancement of local gamma oscillations in the group treated with precuneus stimulation but not in patients treated with sham. We conclude that 24 weeks of precuneus rTMS may slow down cognitive and functional decline in Alzheimer’s disease. Repetitive TMS targeting the default mode network could represent a novel therapeutic approach in Alzheimer’s disease patients.

ObjectiveTo determine the ability of transcranial magnetic stimulation (TMS) in detecting synaptic impairment in patients with Alzheimer’s disease (AD) and predicting cognitive decline since the early phases of the disease.MethodsWe used TMS-based parameters to evaluate long-term potentiation (LTP)-like cortical plasticity and cholinergic activity as measured by short afferent inhibition (SAI) in 60 newly diagnosed patients with AD and 30 healthy age-matched subjects (HS). Receiver operating characteristic (ROC) curves were used to assess TMS ability in discriminating patients with AD from HS. Regression analyses examined the association between TMS-based parameters and cognitive decline. Multivariable regression model revealed the best parameters able to predict disease progression.ResultsArea under the ROC curve was 0.90 for LTP-like cortical plasticity, indicating an excellent accuracy of this parameter in detecting AD pathology. In contrast, area under the curve was only 0.64 for SAI, indicating a poor diagnostic accuracy. Notably, LTP-like cortical plasticity was a significant predictor of disease progression (p=0.02), while no other neurophysiological, neuropsychological and demographic parameters were associated with cognitive decline. Multivariable analysis then promoted LTP-like cortical plasticity as the best significant predictor of cognitive decline (p=0.01). Finally, LTP-like cortical plasticity was found to be strongly associated with the probability of rapid cognitive decline (delta Mini-Mental State Examination score ≤−4 points at 18 months) (p=0.04); patients with AD with lower LTP-like cortical plasticity values showed faster disease progression.ConclusionsTMS-based assessment of LTP-like cortical plasticity could be a viable biomarker to assess synaptic impairment and predict subsequent cognitive decline progression in patients with ADs.

Objective In Alzheimer disease (AD) animal models, synaptic dysfunction has recently been linked to a disorder of high‐frequency neuronal activity. In patients, a clear relation between AD and oscillatory activity remains elusive. Here, we attempt to shed light on this relation by using a novel approach combining transcranial magnetic stimulation and electroencephalography (TMS‐EEG) to probe oscillatory activity in specific hubs of the frontoparietal network in a sample of 60 mild‐to‐moderate AD patients. Methods Sixty mild‐to‐moderate AD patients and 21 age‐matched healthy volunteers (HVs) underwent 3 TMS‐EEG sessions to assess cortical oscillations over the left dorsolateral prefrontal cortex, the precuneus, and the left posterior parietal cortex. To investigate the relations between oscillatory activity, cortical plasticity, and cognitive decline, AD patients underwent a TMS‐based neurophysiological characterization and a cognitive evaluation at baseline. The latter was repeated after 24 weeks to monitor clinical evolution. Results AD patients showed a significant reduction of frontal gamma activity as compared to age‐matched HVs. In addition, AD patients with a more prominent decrease of frontal gamma activity showed a stronger impairment of long‐term potentiation–like plasticity and a more pronounced cognitive decline at subsequent follow‐up evaluation at 24 weeks. Interpretation Our data provide novel evidence that frontal lobe gamma activity is dampened in AD patients. The current results point to the TMS‐EEG approach as a promising technique to measure individual frontal gamma activity in patients with AD. This index could represent a useful biomarker to predict disease progression and to evaluate response to novel pharmacological therapies. ANN NEUROL 2022;92:464–475