Neuroplasticity and non-invasive brain stimulation in the developing brain

Bandeira, Igor D.; Lins-Silva, Daniel H.; Barouh, Judah L; Faria-Guimarães, Daniela; Dorea-Bandeira, Ingrid; Souza, Lucca S; Alves, Gustavo S; Brunoni, André R.; Nitsche, Michael A.; Fregni, Felipe; Lucena, Rita

doi:10.1016/bs.pbr.2021.04.003

Cited by 23 publications

(23 citation statements)

References 153 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A large body of literature has shown that age -and the related thickness of the skull, maturation of brain regions, hormonal disturbances, and neurotransmitter activity -is a determinant of neuroplasticity (Vergallito et al, 2022). Neural plasticity is one of the main mechanisms involved in the stimulation effects, which depends on the personal propensity to induce plasticity (Bandeira et al, 2021). This propensity tends to be more significant at a young age and decreases throughout life with a lower tendency to occur in later life (Ridding and Ziemann, 2010;Freitas et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Effects of a short and intensive transcranial direct current stimulation treatment in children and adolescents with developmental dyslexia: A crossover clinical trial

et al. 2022

View full text Add to dashboard Cite

Developmental Dyslexia (DD) significantly interferes with children’s academic, personal, social, and emotional functioning. Nevertheless, therapeutic options need to be further validated and tested in randomized controlled clinical trials. The use of transcranial direct current stimulation (tDCS) has been gaining ground in recent years as a new intervention option for DD. However, there are still open questions regarding the most suitable tDCS protocol for young people with DD. The current crossover study tested the effectiveness of a short and intensive tDCS protocol, including the long-term effects, as well as the influence of age and neuropsychological processes at baseline on reading improvements. Twenty-four children and adolescents with DD were randomly assigned to receive active tDCS during the first slot and sham tDCS during the second slot or vice versa. Five consecutive daily sessions of left anodal/right cathodal tDCS set at 1 mA for 20 min were administered over the parieto-occipital regions. Reading measures (text, high frequency word, low frequency word, and non-word lists) and neuropsychological measures (visual-spatial and verbal working memory, phoneme blending, and rapid automatized naming tasks) were collected before, immediately after, 1 week and 1 month later the treatment. Our results showed that only the active tDCS condition improved non-word reading speed immediately after and 1 month later the end of the treatment compared with baseline. In addition, the improvement in non-word reading speed was significantly correlated with age and with neuropsychological measures (verbal working memory and phoneme blending) at baseline but only in the active tDCS condition. The current crossover study contributed to enforce previous effects of tDCS, including long-term effects, on non-word reading speed and to understand the effect of age and neuropsychological processes on reading outcomes. Our findings showed that tDCS could be a low-cost and easy-to-implement treatment option with long-term effects for children and adolescents with DD.

show abstract

Section: Discussionmentioning

confidence: 99%

Effects of a short and intensive transcranial direct current stimulation treatment in children and adolescents with developmental dyslexia: A crossover clinical trial

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Non-invasive brain stimulation (NIBS) mainly regulates the excitability of the cerebral cortex through electric fields or magnetic fields, which has the advantages of non-invasive and easy operation and has a broad clinical application prospect (Godinho et al, 2017). Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are two typical methods of NIBS, each of which has its advantages (Bandeira et al, 2021). In the former, the timevarying magnetic field acts on the cerebral cortex to produce induced current, which changes the action potential of cortical neurons, thus affecting brain metabolism and neuroelectric activity (Fisicaro et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Non-invasive Brain Stimulation for Neuropathic Pain After Spinal Cord Injury: A Systematic Review and Network Meta-Analysis

Huang

Jia

et al. 2022

Front. Neurosci.

View full text Add to dashboard Cite

ObjectiveThis study aims to systematically evaluate the effect of non-invasive brain stimulation (NIBS) on neuropathic pain (NP) after spinal cord injury and compare the effects of two different NIBS.MethodsRandomized controlled trials (RCTs) about the effect of NIBS on NP after spinal cord injury (SCI) were retrieved from the databases of PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP, and CBM from inception to September 2021. The quality of the trials was assessed, and the data were extracted according to the Cochrane handbook of systematic review. Statistical analysis was conducted with Stata (version 16) and R software (version 4.0.2).ResultsA total of 17 studies involving 507 patients were included. The meta-analysis showed that NIBS could reduce the pain score (SMD = −0.84, 95% CI −1.27 −0.40, P = 0.00) and the pain score during follow-up (SMD = −0.32, 95%CI −0.57 −0.07, P = 0.02), and the depression score of the NIBS group was not statistically significant than that of the control group (SMD = −0.43, 95%CI −0.89–0.02, P = 0.06). The network meta-analysis showed that the best probabilistic ranking of the effects of two different NIBS on the pain score was repetitive transcranial magnetic stimulation (rTMS) (P = 0.62) > transcranial direct current stimulation (tDCS) (P = 0.38).ConclusionNIBS can relieve NP after SCI. The effect of rTMS on NP is superior to that of tDCS. We suggest that the rTMS parameters are 80–120% resting motion threshold and 5–20 Hz, while the tDCS parameters are 2 mA and 20 min. However, it is necessary to carry out more large-scale, multicenter, double-blind, high-quality RCT to explore the efficacy and mechanism of NIBS for NP after SCI.

show abstract

“…This therapy can be applied as an effective treatment option 13,14 , which is particularly interesting in the absence of alternative effective interventions. Its application in paediatric populations however has been limited due to initial concerns 15,16 . In children, stimulation parameters cannot be directly translated from studies in adult populations since electric fields generated in the brain during stimulation are affected by anatomical differences such as brain volume, skull thickness, white matter -gray matter ratio and cerebrospinal fluid (CSF) volume [17][18][19][20][21][22] .…”

Section: Introductionmentioning

confidence: 99%

Stratification of responses to tDCS intervention in a healthy paediatric population based on resting-state EEG profiles

Dagnino

Braboszcz

Kroupi

et al. 2022

Preprint

View full text Add to dashboard Cite

Transcranial Direct Current Stimulation (tDCS) is a non-invasive neuromodulation technique with a wide variety of applications in both the clinical and cognitive psychology domains. As increasingly acknowledged, its effectiveness is subject dependent, which may lead to timely and costly treatments with ineffective results if this variability is not taken into account. We propose the usage of electroencephalography (EEG) for the analysis and prediction of individual responses to tDCS. In this context the application of machine learning can be of enormous help. We analysed resting-state EEG activity to identify subgroups of participants with an homogeneous electrophysiological profile and their response to different tDCS interventions. The study described herein, which focuses on healthy controls, was conducted within a clinical trial for the development of treatments based on tDCS for age-matched children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD). We have studied a randomized, double-blind, sham-controlled tDCS intervention in 56 healthy children and adolescents aged 10-17, applied in 2 parallel groups over 2 target regions, namely left Dorsolateral Prefrontal Cortex (lDLPFC) and right Inferior Frontal Gyrus (rIFG). Cognitive behavioural tasks were used to both activate particular brain areas during the stimulation and to assess the impact of the intervention afterwards. We have implemented an unsupervised learning approach to stratify participants based on their resting-state EEG spectral features before the tDCS application. We have then applied a correlational analysis to identify EEG profiles associated with tDCS subject response to the specific stimulation sites and the presence or not of concurrent tasks during the intervention. In the results we found specific digital electrophysiological profiles that can be associated to a positive response, whereas subjects with other profiles respond negatively or do not respond to the intervention. Findings suggest that unsupervised machine learning procedures, when associated with proper visualization features, can be successfully used to interpret and eventually to predict responses of individuals to tDCS treatment.

show abstract

Neuroplasticity and non-invasive brain stimulation in the developing brain

Cited by 23 publications

References 153 publications

Effects of a short and intensive transcranial direct current stimulation treatment in children and adolescents with developmental dyslexia: A crossover clinical trial

Effects of a short and intensive transcranial direct current stimulation treatment in children and adolescents with developmental dyslexia: A crossover clinical trial

Non-invasive Brain Stimulation for Neuropathic Pain After Spinal Cord Injury: A Systematic Review and Network Meta-Analysis

Stratification of responses to tDCS intervention in a healthy paediatric population based on resting-state EEG profiles

Contact Info

Product

Resources

About