Targeting Default Mode Network Dysfunction in Persons at Risk of Alzheimer’s Disease with Transcranial Magnetic Stimulation (NEST4AD): Rationale and Study Design

2021 ◽  
Vol 83 (4) ◽  
pp. 1877-1889
Author(s):  
Michela Pievani ◽  
Anna Mega ◽  
Giulia Quattrini ◽  
Giacomo Guidali ◽  
Clarissa Ferrari ◽  
...  

Background: Default mode network (DMN) dysfunction is well established in Alzheimer’s disease (AD) and documented in both preclinical stages and at-risk subjects, thus representing a potential disease target. Multi-sessions of repetitive transcranial magnetic stimulation (rTMS) seem capable of modulating DMN dynamics and memory in healthy individuals and AD patients; however, the potential of this approach in at-risk subjects has yet to be tested. Objective: This study will test the effect of rTMS on the DMN in healthy older individuals carrying the strongest genetic risk factor for AD, the Apolipoprotein E (APOE) ɛ4 allele. Methods: We will recruit 64 older participants without cognitive deficits, 32 APOE ɛ4 allele carriers and 32 non-carriers as a reference group. Participants will undergo four rTMS sessions of active (high frequency) or sham DMN stimulation. Multimodal imaging exam (including structural, resting-state, and task functional MRI, and diffusion tensor imaging), TMS with concurrent electroencephalography (TMS-EEG), and cognitive assessment will be performed at baseline and after the stimulation sessions. Results: We will assess changes in DMN connectivity with resting-state functional MRI and TMS-EEG, as well as changes in memory performance in APOE ɛ4 carriers. We will also investigate the mechanisms underlying DMN modulation through the assessment of correlations with measures of neuronal activity, excitability, and structural connectivity with multimodal imaging. Conclusion: The results of this study will inform on the physiological and cognitive outcomes of DMN stimulation in subjects at risk for AD and on the possible mechanisms. These results may outline the design of future non-pharmacological preventive interventions for AD.

2016 ◽  
Vol 12 ◽  
pp. P930-P930
Author(s):  
Hanne Struyfs ◽  
Vasilis Terzopoulos ◽  
Frank De Belder ◽  
Paul M. Parizel ◽  
Wim Van Hecke ◽  
...  

2015 ◽  
Vol 11 (7S_Part_19) ◽  
pp. P876-P876
Author(s):  
Hanne Struyfs ◽  
Dirk Smeets ◽  
Vasilis Terzopoulos ◽  
Sylvie Slaets ◽  
Laura Wuyts ◽  
...  

Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  

AbstractWe conduct an imaging genetics study to explore how effective brain connectivity in the default mode network (DMN) may be related to genetics within the context of Alzheimer’s disease and mild cognitive impairment. We develop an analysis of longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) and genetic data obtained from a sample of 111 subjects with a total of 319 rs-fMRI scans from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. A Dynamic Causal Model (DCM) is fit to the rs-fMRI scans to estimate effective brain connectivity within the DMN and related to a set of single nucleotide polymorphisms (SNPs) contained in an empirical disease-constrained set which is obtained out-of-sample from 663 ADNI subjects having only genome-wide data. We relate longitudinal effective brain connectivity estimated using spectral DCM to SNPs using both linear mixed effect (LME) models as well as function-on-scalar regression (FSR). In both cases we implement a parametric bootstrap for testing SNP coefficients and make comparisons with p-values obtained from asymptotic null distributions. In both networks at an initial q-value threshold of 0.1 no effects are found. We report on exploratory patterns of associations with relatively high ranks that exhibit stability to the differing assumptions made by both FSR and LME.


2015 ◽  
Vol 8 (5) ◽  
pp. 937-944 ◽  
Author(s):  
Dídac Vidal-Piñeiro ◽  
Pablo Martín-Trias ◽  
Carles Falcón ◽  
Núria Bargalló ◽  
Imma C. Clemente ◽  
...  

2014 ◽  
Vol 76 (7) ◽  
pp. 517-526 ◽  
Author(s):  
Conor Liston ◽  
Ashley C. Chen ◽  
Benjamin D. Zebley ◽  
Andrew T. Drysdale ◽  
Rebecca Gordon ◽  
...  

2017 ◽  
Vol 23 (5) ◽  
pp. 395-404 ◽  
Author(s):  
Qing Ye ◽  
Fan Su ◽  
Hao Shu ◽  
Liang Gong ◽  
Chun-Ming Xie ◽  
...  

2009 ◽  
Vol 21 (1-2) ◽  
pp. 77-91 ◽  
Author(s):  
Maija Pihlajamäki ◽  
Reisa A. Sperling

Alzheimer’s disease (AD) is the most common form of dementia in old age, and is characterized by prominent impairment of episodic memory. Recent functional imaging studies in AD have demonstrated alterations in a distributed network of brain regions supporting memory function, including regions of the default mode network. Previous positron emission tomography studies of older individuals at risk for AD have revealed hypometabolism of association cortical regions similar to the metabolic abnormalities seen in AD patients. In recent functional magnetic resonance imaging (fMRI) studies of AD, corresponding brain default mode regions have also been found to demonstrate an abnormal fMRI task-induced deactivation response pattern. That is, the relative decreases in fMRI signal normally observed in the default mode regions in healthy subjects performing a cognitive task are not seen in AD patients, or may even be reversed to a paradoxical activation response. Our recent studies have revealed alterations in the pattern of deactivation also in elderly individuals at risk for AD by virtue of their APOE e4 genotype, or evidence of mild cognitive impairment (MCI). In agreement with recent reports from other groups, these studies demonstrate that the pattern of fMRI task-induced deactivation is progressively disrupted along the continuum from normal aging to MCI and to clinical AD and more impaired in e4 carriers compared to non-carriers. These findings will be discussed in the context of current literature regarding functional imaging of the default network in AD and at-risk populations.


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