Time-resolved quantification of the dynamic extracellular space in the brain: study of cortical spreading depression.

Extracellular diffusion in the brain is customarily characterized by two parameters, the extracellular space (ECS) volume fraction α and the diffusion tortuosity λ. How these two parameters are temporarily modified and correlated in a physiological/pathological event remains unclear to date. Using tetramethylammonium (TMA) as an ECS ion tracer in a newly updated iontophoretic sinusoidal method, we studied in this work the dynamic α() and λ() in rat somatosensory cortex during spreading depression (SD). Temporal variations of α() and λ(), as evoked by SD, were obtained through analyses of the extracellular TMA diffusion waveform resulting from a sinusoidally modulated point source. Most of the time, cortical SD induced coordinated α() decreases and λ() increases. In rare occasions, SD induced sole decreases of α() with no changes in λ(). The independent modulation of α() and λ() was neither associated with cortical anatomy nor with the specific shape of the SD field potential wave. Changes of α() and λ() often took place acutely at the onset of SD, followed by a more transient modulation. Compared with the prior iontophoretic methods of TMA, the sinusoidal method provides time-resolved quantification of α() and λ() in relative terms but also raises a higher property requirement on the TMA-selective microelectrode. The sinusoidal method could become a valuable tool in the studies of the dynamic ECS response in various brain events. An iontophoretic sinusoidal method was applied to study the dynamic changes of two extracellular space parameters, the extracellular volume fraction α() and tortuosity λ(), in the brain during cortical spreading depression. Both parameters showed coordinated (most often) and independent (rarely) modulations in spreading depression. The sinusoidal method is equally applicable to other acute pathological events and a valuable tool to study the functional role of extracellular space in brain events.