Neuronal and behavioral effects of multi-day brain stimulation and memory training

Antonenko, Daria; Külzow, Nadine; Sousa, Angélica Vieira Cavalcanti de; Prehn, Kristin; Grittner, Ulrike; Flöel, Agnes

doi:10.1016/j.neurobiolaging.2017.09.017

Cited by 63 publications

(99 citation statements)

References 85 publications

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“…However, both particularly would affect DMN functioning at rest as well as during WM performance. In fact, the DMN is known to be highly susceptible to alterations by means of transcranial stimulation (i.e., Antonenko et al, 2018). This is crucial given that this network supports basic cognitive processes (Buckner et al, 2008).…”

Section: Resultsmentioning

confidence: 99%

Differential tDCS and tACS Effects on Working Memory-Related Neural Activity and Resting-State Connectivity

et al. 2020

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Section: Resultsmentioning

confidence: 99%

Differential tDCS and tACS Effects on Working Memory-Related Neural Activity and Resting-State Connectivity

et al. 2020

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“…Studies targeting the temporo-parietal cortex, a key region of the DMN, reported relatively consistent changes within this network. Increased FC within the DMN was observed after 3 atDCS sessions targeting the right temporo-parietal cortex, and these changes were associated with better memory recall performance [55]. Similarly, Clemens et al [57] reported increased FC within the anterior DMN after a single atDCS targeting the right angular gyrus, although divergent effects were reported for DMN posterior hubs [56, 57].…”

Section: Local and Distal Connectivity Effects Of Nibsmentioning

confidence: 99%

“…According to the study by Antonenko et al [55] in healthy older subjects, atDCS targeting the temporo-parietal cortex resulted in better memory, and this improvement was associated with increased DMN connectivity. Considering the role of DMN in supporting memory [15], it is conceivable that memory improvement following atDCS may be mediated by restoration of FC within the DMN.…”

Section: Nibs and Dementiamentioning

confidence: 99%

Non-Invasive Brain Stimulation in Dementia: A Complex Network Story

et al. 2018

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Non-invasive brain stimulation (NIBS) is emerging as a promising rehabilitation tool for a number of neurodegenerative diseases. However, the therapeutic mechanisms of NIBS are not completely understood. In this review, we will summarize NIBS results in the context of brain imaging studies of functional connectivity and metabolites to gain insight into the possible mechanisms underlying recovery. We will briefly discuss how the clinical manifestations of common neurodegenerative disorders may be related with aberrant connectivity within large-scale neural networks. We will then focus on recent studies combining resting-state functional magnetic resonance imaging with NIBS to delineate how stimulation of different brain regions induce complex network modifications, both at the local and distal level. Moreover, we will review studies combining magnetic resonance spectroscopy and NIBS to investigate how microscale changes are related to modifications of large-scale networks. Finally, we will re-examine previous NIBS studies in dementia in light of this network perspective. A better understanding of NIBS impact on the functionality of large-scale brain networks may be useful to design beneficial treatments for neurodegenerative disorders.

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“…These observations may have important future implications for the cognitive neuroscience of aging field, since many of the neural basis regarding cognitive functioning, longitudinal trajectories and inter-individual differences, including the development of theoretical models, have been mainly based on studies employing this imaging technology (Cabeza et al, 2018;Grady, 2012;Vaqué-Alcázar et al, 2020). Furthermore, fMRI changes can effectively track the positive impact of behavioral interventions aimed to ameliorate cognition in the elderly (Duda & Sweet, 2019), including its combined effects with NIBS (Antonenko et al, 2018). Therefore, and as opposed to the use of conventional tDCS montages, the possibility of a priori designing and modelling particular NIBS-based interventions incorporating individual information (i.e., baseline patterns of brain connectivity) that are predictive of regional-specific fMRI changes may offer a valuable and refined, individually-tailored, approach for studies intended to optimize brain functionality amongst older individuals, or to investigate the impact of interventions in clinical trials.…”

Section: Cárdenasmentioning

confidence: 99%

“…Non-invasive brain stimulation (NIBS) protocols have been used to modulate these cognitive systems in older adults (Abellaneda-Pérez et al, 2019a). The combination of NIBS with neuroimaging techniques in these populations has shed light into the network plasticity mechanisms underlying cognitive maintenance and reserve in the elderly (i.e., Abellaneda-Pérez et al, 2019b) as well as on the putative neurobiological mechanisms underlying NIBS-induced phenotypic improvements in aged samples (i.e., Antonenko et al, 2018;Holland et al, 2011;Meinzer et al, 2013;Nilakantan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Multifocal tDCS modulates resting-state functional connectivity in older adults depending on induced electric field and baseline connectivity

Abellaneda‐Pérez

Vaqué‐Alcázar

Perellón‐Alfonso

et al. 2020

Preprint

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Background. Advancing age affects the brain's resting-state functional networks. Combining non-invasive brain stimulation (NIBS) with neuroimaging is a promising approach to modulate activity across resting-state functional systems and explore their true contribution to cognitive function in aging. However, substantial individual variability in the response to NIBS has been reported and, hence, identifying the individual predictors of NIBS-induced modulatory effects is crucial if we are to harness their potential.Methods. Thirty-one cognitively healthy older adults (71.68 ± 2.5 years; 19 females) underwent two different multifocal real tDCS conditions (C1 and C2) and a sham condition in a crossover design during a resting-state functional magnetic resonance imaging (rs-fMRI) acquisition. The real tDCS conditions were designed to induce two distinct electric field distribution patterns either targeting generalized cortical overactivity or a dissociation between the frontal areas and the posteromedial cortex. Stimulation was delivered through an MRI-compatible device using 8 small circular electrodes. Each individuals' anatomical T1-weighted MRI was used to generate a finite element model to define the individual electric field generated by each tDCS condition.Results. The two tDCS conditions modulated resting-state connectivity differently. C1 increased the coactivation of numerous functional couplings as compared to sham, however, a smaller amount of connections increased in C1 as compared to C2, while no differences between C2 and sham were appreciated. At the group level, C1-induced modulations primarily included temporo-occipital areas and distinct cerebellar regions. This functional pattern was anatomically consistent with the estimated distribution of the induced electric field in the C1 condition. Finally, at the individual level, the extent of tDCS-induced rs-fMRI modulation in C1 was predicted by baseline resting-state connectivity and simulation-based electric field magnitude. Discussion.Our results highlighted that multifocal tDCS procedures can effectively change neural dynamics in the elderly consistently with the spatial distribution of the estimated electric fields on the brain. Furthermore, we showed that specific brain factors that have been revealed to explain part of the individual variability to NIBS in young samples are also relevant in older adults. In accordance, designing multifocal tDCS configurations based on specific fMRI patterns appears to be a valuable approach to precisely adjust those complex neural dynamics sustaining cognition that are affected as a function of age. Furthermore, these innovative NIBS-based interventions should be individually-tailored based on subject-specific structural and functional data to ultimately boost their potential in aged populations. KeywordsAging, electrical modeling, finite element method, multifocal transcranial direct current stimulation, resting-state functional magnetic resonance imaging.

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Neuronal and behavioral effects of multi-day brain stimulation and memory training

Cited by 63 publications

References 85 publications

Differential tDCS and tACS Effects on Working Memory-Related Neural Activity and Resting-State Connectivity

Differential tDCS and tACS Effects on Working Memory-Related Neural Activity and Resting-State Connectivity

Non-Invasive Brain Stimulation in Dementia: A Complex Network Story

Multifocal tDCS modulates resting-state functional connectivity in older adults depending on induced electric field and baseline connectivity

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