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Updated: May 24, 2026

Neuronavigation-guided Repetitive Transcranial Magnetic Stimulation for Aphasia
Published on: May 6, 2016
Automatic and intentional number processing both rely on intact right parietal cortex: a combined FMRI and
Roi Cohen Kadosh1, Nina Bien, Alexander T Sack
1Department of Experimental Psychology, University of Oxford Oxford, UK.
Disrupting the right parietal cortex causally impairs both automatic and intentional numerical processing. This suggests the right parietal lobe is crucial for both processing types, unlike the left parietal lobe.
Area of Science:
- Cognitive Neuroscience
- Neurobiology
Background:
- Performance improvement with practice often involves a shift towards automatic processing.
- The neural mechanisms underlying automatic versus intentional processing are debated, with conflicting evidence regarding shared or distinct brain regions.
- Previous correlational studies have yielded inconclusive results on the neural basis of automatic and intentional processing.
Purpose of the Study:
- To causally investigate the role of left and right parietal cortex in automatic and intentional numerical processing using transcranial magnetic stimulation (TMS).
- To determine if automatic and intentional numerical processing rely on the same or different neural mechanisms within the parietal cortex.
- To examine hemispheric lateralization in parietal cortex function for numerical tasks.
Main Methods:
- Utilized transcranial magnetic stimulation (TMS) to temporarily disrupt activity in the left and right parietal cortex.
- Assessed the impact of TMS on automatic numerical processing via the size congruity effect.
- Assessed the impact of TMS on intentional numerical processing via the numerical distance effect.
Main Results:
- Disruption of the right parietal cortex significantly impaired performance in both automatic and intentional numerical processing.
- Disruption of the left parietal cortex or sham stimulation did not affect performance in either processing type.
- Demonstrated a functional hemispheric asymmetry within the parietal cortex for numerical processing.
Conclusions:
- The right parietal cortex plays a causal role in both automatic and intentional numerical processing.
- Automatic and intentional numerical processing appear to rely on the same underlying hemispheric lateralization within the parietal cortex.
- These findings provide causal evidence for the functional relevance of the right parietal lobe in numerical cognition.
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