Disconnection Syndrome
A set of unusual symptoms that can occur when the corpus callosum is severed or absent, causing the brain's two hemispheres to process information with reduced coordination.
Split-brain syndrome describes the pattern of symptoms that can occur when the corpus callosum - the brain's main bridge between the left and right hemispheres - is severed or fails to develop. Historically, this most often occurred deliberately, via a surgical corpus callosotomy performed as a last-resort treatment for severe, medication-resistant epilepsy, to stop seizures from spreading between hemispheres. It can also occur when the corpus callosum is absent from birth (agenesis of the corpus callosum), a rarer condition often accompanied by other developmental differences.
By definition, split-brain syndrome centres entirely on the corpus callosum. With it disconnected, the two hemispheres can no longer directly share the information they'd normally exchange constantly. Because the left hemisphere is typically dominant for language in most people, information reaching only the right hemisphere (for example, an object felt only by the left hand) may not be verbally nameable by the patient, even though the right hemisphere clearly processed it - a striking demonstration of hemispheric specialisation.
Foundational split-brain research by Roger Sperry and Michael Gazzaniga from the 1960s onward, described in more detail on our corpus callosum page, remains a touchstone for understanding hemispheric specialisation and the neural basis of unified conscious experience. Modern research continues to study patients who have undergone corpus callosotomy (now typically a partial rather than complete procedure, to reduce disconnection effects) and to compare outcomes with less invasive epilepsy treatments, such as responsive neurostimulation, as options have expanded.
This article is for general education and isn't a substitute for professional medical advice or diagnosis.
Explore the regions involved in split-brain syndrome in more depth: