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View article: The ENIGMA-Neuromodulation working group – A mission statement
The ENIGMA-Neuromodulation working group – A mission statement Open
View article: Building tDCS Digital Twins: AI-Powered Prediction of Personalized Electrical Field Maps from MRI
Building tDCS Digital Twins: AI-Powered Prediction of Personalized Electrical Field Maps from MRI Open
View article: Baseline Clinical Markers and Machine Learning-Based Prediction of tDCS Treatment Outcomes in Anxiety Disorders
Baseline Clinical Markers and Machine Learning-Based Prediction of tDCS Treatment Outcomes in Anxiety Disorders Open
View article: Practical considerations in modeling tDCS in older adults
Practical considerations in modeling tDCS in older adults Open
View article: Effect of transcranial direct current stimulation with cognitive training on executive functions in healthy older adults: a secondary analysis from the ACT trial
Effect of transcranial direct current stimulation with cognitive training on executive functions in healthy older adults: a secondary analysis from the ACT trial Open
View article: Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression
Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression Open
View article: Facilitation of working memory capacity by transcranial direct current stimulation: a secondary analysis from the augmenting cognitive training in older adults (ACT) study
Facilitation of working memory capacity by transcranial direct current stimulation: a secondary analysis from the augmenting cognitive training in older adults (ACT) study Open
View article: The ENIGMA Neuromodulation Working Group: Goals, Challenges, and Opportunities for the Field
The ENIGMA Neuromodulation Working Group: Goals, Challenges, and Opportunities for the Field Open
Since 2009, the ENIGMA Consortium has brought together neuroimaging researchers from over 45 countries to perform some of the largest international studies of over 30 major brain disorders. The ENIGMA working groups tackle the growing chal…
View article: Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning
Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning Open
Whole-head segmentation from Magnetic Resonance Images (MRI) establishes the foundation for individualized computational models using finite element method (FEM). This foundation paves the path for computer-aided solutions in fields such a…
View article: The impact of a tDCS and cognitive training intervention on task-based functional connectivity
The impact of a tDCS and cognitive training intervention on task-based functional connectivity Open
View article: Impact of electrode selection on modeling tDCS in the aging brain
Impact of electrode selection on modeling tDCS in the aging brain Open
Background Person-specific computational models can estimate transcranial direct current stimulation (tDCS) current dose delivered to the brain and predict treatment response. Artificially created electrode models derived from virtual 10–2…
View article: DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability Open
Out-of-distribution (OOD) generalization poses a serious challenge for modern deep learning (DL). OOD data consists of test data that is significantly different from the model's training data. DL models that perform well on in-domain test …
View article: Machine-learning defined precision tDCS for improving cognitive function
Machine-learning defined precision tDCS for improving cognitive function Open
The results of this study serve as a foundation for a custom dose optimization strategy towards precision medicine in tDCS to improve outcomes in cognitive decline remediation for older adults.
View article: The importance of accurately representing electrode position in transcranial direct current stimulation computational models
The importance of accurately representing electrode position in transcranial direct current stimulation computational models Open
View article: DOMINO: Domain-aware loss for deep learning calibration
DOMINO: Domain-aware loss for deep learning calibration Open
Deep learning has achieved the state-of-the-art performance across medical imaging tasks; however, model calibration is often not considered. Uncalibrated models are potentially dangerous in high-risk applications since the user does not k…
View article: DOMINO: Domain-aware Loss for Deep Learning Calibration
DOMINO: Domain-aware Loss for Deep Learning Calibration Open
Deep learning has achieved the state-of-the-art performance across medical imaging tasks; however, model calibration is often not considered. Uncalibrated models are potentially dangerous in high-risk applications since the user does not k…
View article: Effects of inter-individual variation on transcranial electrical stimulation in the aging brain
Effects of inter-individual variation on transcranial electrical stimulation in the aging brain Open
overnight sleep deprivation vs overnight sufficient sleep affects (a) cortical excitability, measured by transcranial magnetic stimulation, (b) inducibility of LTP/LTD-like plasticity via tDCS, and (c) motor learning.We found a significant…
View article: Augmenting cognitive training in older adults with transcranial direct current stimulation: Initial results from the Phase III ACT trial and new directions
Augmenting cognitive training in older adults with transcranial direct current stimulation: Initial results from the Phase III ACT trial and new directions Open
Background Effective non‐pharmacological interventions to remediate age‐related cognitive decline and alter trajectories toward dementia are limited. The Augmenting Cognitive Training in Older Adults trial (ACT) was the first phase III ran…
View article: DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation Open
Model calibration measures the agreement between the predicted probability estimates and the true correctness likelihood. Proper model calibration is vital for high-risk applications. Unfortunately, modern deep neural networks are poorly c…
View article: High fidelity finite element models to predict changes in functional connectivity of the working memory networks in older adults
High fidelity finite element models to predict changes in functional connectivity of the working memory networks in older adults Open
View article: Impact of Transcranial Direct Current Stimulation and Cognitive Training on Frontal Lobe Neurotransmitter Concentrations
Impact of Transcranial Direct Current Stimulation and Cognitive Training on Frontal Lobe Neurotransmitter Concentrations Open
Objective: This study examines the impact of transcranial direct current stimulation (tDCS) combined with cognitive training on neurotransmitter concentrations in the prefrontal cortex. Materials and Methods: Twenty-three older adults were…
View article: Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults
Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults Open
View article: A Systematic Review and Meta-Analysis of Transcranial Direct Current Stimulation to Remediate Age-Related Cognitive Decline in Healthy Older Adults
A Systematic Review and Meta-Analysis of Transcranial Direct Current Stimulation to Remediate Age-Related Cognitive Decline in Healthy Older Adults Open
While observed outcomes varied, overall findings indicated promising effects of tDCS to remediate cognitive aging and thus deserves further exploration. Future characterization of inter-individual variability in tDCS dose response and appl…
View article: White matter hyperintensities affect transcranial electrical stimulation in the aging brain
White matter hyperintensities affect transcranial electrical stimulation in the aging brain Open
View article: Machine learning and individual variability in electric field characteristics predict tDCS treatment response
Machine learning and individual variability in electric field characteristics predict tDCS treatment response Open
View article: Modeling transcranial electrical stimulation in the aging brain
Modeling transcranial electrical stimulation in the aging brain Open
View article: Effects of Transcranial Direct Current Stimulation Paired With Cognitive Training on Functional Connectivity of the Working Memory Network in Older Adults
Effects of Transcranial Direct Current Stimulation Paired With Cognitive Training on Functional Connectivity of the Working Memory Network in Older Adults Open
www.ClinicalTrials.gov, identifier NCT02137122.
View article: Effects of in-Scanner Bilateral Frontal tDCS on Functional Connectivity of the Working Memory Network in Older Adults
Effects of in-Scanner Bilateral Frontal tDCS on Functional Connectivity of the Working Memory Network in Older Adults Open
Working memory is an executive memory process essential for everyday decision-making and problem solving that declines with advanced age. Transcranial direct current stimulation (tDCS) is a non-invasive form of brain stimulation that has d…
View article: Benchmarking transcranial electrical stimulation finite element models: a comparison study
Benchmarking transcranial electrical stimulation finite element models: a comparison study Open
Apparently equivalent boundary settings may affect predicted current density outcomes and care must be taken in their specification. Smoothing FE model compartments may not be necessary, and directly translated, voxellated tissue boundarie…
View article: Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects
Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects Open
Background . Phosphene generation is an objective physical measure of potential transcranial alternating current stimulation (tACS) biological side effects. Interpretations from phosphene analysis can serve as a first step in understanding…