Overview: Development and Plasticity of the Central Auditory System

Hair cell loss in the mammalian cochlea is irreversible and results in permanent hearing loss. Math1, the basic helix-loop-helix transcription factor homolog of the Drosophila atonal gene, is a positive regulator of hair cell differentiation during cochlear development. Developing hair cells express Math1, and nonsensory cells do not. We set out to determine the outcome of overexpression of Math1 in nonsensory cells of the cochlea on the phenotype of these cells. We demonstrate that in vivo inoculation of adenovirus with the Math1 gene insert into the endolymph of the mature guinea pig cochlea results in Math1 overexpression in nonsensory cochlear cells, as evident from the presence of Math1 protein in supporting cells of the organ of Corti and in adjacent nonsensory epithelial cells. Math1 overexpression leads to the appearance of immature hair cells in the organ of Corti and new hair cells adjacent to the organ of Corti in the interdental cell, inner sulcus, and Hensen cell regions. Axons are extended from the bundle of auditory nerve toward some of the new hair cells, suggesting that the new cells attract auditory neurons. We conclude that nonsensory cells in the mature cochlea retain the competence to generate new hair cells after overexpression of Math1 in vivo and that Math1 is necessary and sufficient to direct hair cell differentiation in these mature nonsensory cells.

Mechanosensory hair cells of the cochlea must serve as both transducers and presynaptic terminals, precisely releasing neurotransmitter to encode acoustic signals for the postsynaptic afferent neuron. Remarkably, each inner hair cell serves as the sole input for 10-30 individual afferent neurons, which requires extraordinary precision and reliability from the synaptic ribbons that marshal vesicular release onto each afferent. Recent studies of hair cell membrane capacitance and postsynaptic currents suggest that the synaptic ribbon may operate by simultaneous multi-vesicular release. This mechanism could serve to ensure the accurate timing of transmission, and further challenges our understanding of this synaptic nano-machine.

As long as 150 years ago, when Fritz and Hitzig demonstrated the electrical excitability of the motor cortex, scientists and fiction writers were considering the possibility of interfacing a machine with the human brain. Modern attempts have been driven by concrete technological and clinical goals. The most advanced of these has brought the perception of sound to thousands of deaf individuals by means of electrodes implanted in the cochlea. Similar attempts are underway to provide images to the visual cortex and to allow the brains of paralyzed patients to re-establish control of the external environment via recording electrodes. This review focuses on two challenges: (1) establishing a 'closed loop' between sensory input and motor output and (2) controlling neural plasticity to achieve the desired behavior of the brain-machine system. Meeting these challenges is the key to extending the impact of the brain-machine interface.