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Cognitive Enhancement via Network-Targeted Cortico-cortical Associative Brain Stimulation
1Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy.
Cerebral Cortex (New York, N.Y. : 1991)
|November 1, 2019
Summary
This study shows that a novel brain stimulation technique, cortico-cortical paired associative stimulation (cc-PAS), can enhance fluid intelligence (gf). This method offers a new avenue for cognitive enhancement and understanding brain networks.
Area of Science:
- Cognitive Neuroscience
- Neuroscience
- Neuroimaging
Background:
- Fluid intelligence (gf) is vital for academic success, aging, and longevity.
- Enhancing gf is challenging, representing a key goal in cognitive neuroscience.
- Understanding the neural mechanisms of gf is crucial for developing effective interventions.
Purpose of the Study:
- To investigate the efficacy of a spike-timing-dependent plasticity (STDP)-inducing protocol, cortico-cortical paired associative stimulation (cc-PAS), for enhancing fluid intelligence (gf).
- To explore the causal role of frontoparietal network dynamics in supporting gf.
- To validate cognitive models of information processing using targeted brain stimulation.
Main Methods:
- Applied dual-coil transcranial magnetic stimulation (TMS) to deliver cc-PAS over frontoparietal nodes of the gf network in 29 healthy young adults.
- Utilized neuronavigated TMS pulses with a 10-ms interval, guided by individual functional magnetic resonance imaging (fMRI) data.
- Administered cc-PAS based on cognitive models of prefrontal and parietal lobe information processing.
Main Results:
- cc-PAS significantly enhanced accuracy in fluid intelligence (gf) tasks.
- Parieto-frontal stimulation improved logical reasoning.
- Fronto-parietal stimulation enhanced relational reasoning.
Conclusions:
- Spike-timing-dependent plasticity (STDP)-inducing TMS protocols, like cc-PAS, can be used to causally investigate cognitive functions.
- Targeted modulation of inter-regional temporal dynamics in frontoparietal networks can selectively enhance specific cognitive abilities.
- This approach offers a promising method for both cognitive enhancement and validating computational models of cognition.

