Distinct effects of priming the brain using tDCS and observational practice: new evidence from brain effective connectivity.
McLeod, J.; Chavan, A.; Lee, H.; Sattari, S.; Kurry, S.; Wake, M.; Janmohamed, Z.; Hodges, N. H.; Virji-Babul, N.
Show abstract
Complex motor skills can be acquired while observing a model without physical practice. Transcranial direct-current stimulation (tDCS) applied to the primary motor cortex (M1) also facilitates motor learning. However, the effectiveness of observational practice for bimanual coordination skills is debated and there is little research on the effects of tDCS on acquiring bimanual skills and the underlying effective/causal brain connectivity. We compared the effect of primary motor cortex tDCS (M1-tDCS) to action-observation (AO) when acquiring a bimanual, two-ball juggling skill and characterized the brain causal connectivity patterns underlying each condition. Twenty healthy young adults with no juggling experience were randomly assigned to either video observation of a skilled juggler or anodal M1-tDCS. Thirty trials of juggling were performed and scored after the intervention. Resting-state EEG data were collected before and after the intervention. Information flow rate was applied to EEG source data to measure causal connectivity. Juggling scores were significantly higher in the AO group (p =.03). We found the strongest information exchange from (L) parietal to (R) parietal regions, strong bidirectional information exchange between (R) parietal and (R) occipital regions and an extensive network of activity that was (L) lateralized in the AO condition. In contrast, the M1-tDCS condition was characterized by bilateral long-range connections with the strongest information exchange from the (R) occipital region to the (R) temporal and (L) occipital regions. This study provides new results about the distinct network dynamics of priming the brain for skill acquisition using direct stimulation or indirect stimulation via action observation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- State-dependent effectiveness of cathodal transcranial direct current stimulation on cortical excitability 97%
- The phase of tACS-entrained pre-SMA beta oscillations modulates motor inhibition 96%
- Beneficial effects of cerebellar tDCS on motor learning are associated with altered putamen-cerebellar connectivity: a simultaneous tDCS-fMRI study 96%
Similar papers in this journal
- Deep Brain Stimulation for Parkinson's Disease Induces Spontaneous Cortical Hypersynchrony In Extended Motor and Cognitive Networks 96%
- Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study 95%
- Using occipital α-bursts to modulate behaviour in real-time 94%
Similar papers in this journal
- Spatio-Temporal Dynamics of Oscillatory Brain Activity during the Observation of Actions and Interactions between Point-light Agents 94%
- Can non-invasive brain stimulation modulate peak alpha frequency in the human brain? A systematic review and meta-analysis 94%
- Variance in cortical depth across the brain surface 94%
Similar papers in this journal
- Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS 96%
- Modulating brain networks with transcranial magnetic stimulation over the primary motor cortex: a concurrent TMS/fMRI study 95%
- Effects of transcranial direct current stimulation on brain networks related to creative thinking 95%
Similar papers in this journal
- Transcallosal generation of phase aligned beta-bursts underlies TMS-induced interhemispheric inhibition 96%
- Extracting Reproducible Components from Electroencephalographic Responses to Transcranial Magnetic Stimulation with Group Task-Related Component Analysis 94%
- Previous motor task performance impacts phase-based EEG resting-state connectivity states 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.