Identifying areas of the brain by examining the neuronal signals
The present invention relates to a method of identifying a region of the brain by measuring neuronal firing and/or local field potentials by recording discharges from at least one implanted electrode and analyzing the recording of the discharges within the beta frequency band range to determine an area of beta oscillatory activity. Once the region of the brain is identified, this region may be stimulated to disrupt the beta oscillatory activity thereby treating a movement disorder.
1. A method of identifying a region of the brain comprising the steps of:
measuring neuronal firing and local field potential by recording electrical signals in the brain using at least a first electrode and a second electrode;
detecting neuronal spiking activity that is oscillatory within a beta frequency band between 15 Hz and 30 Hz using at least the first electrode, wherein the detecting comprises determining a peak frequency within the beta frequency band range having a largest power spectrum peak and determining a power value within a predetermined frequency range about the peak frequency to represent beta oscillatory activity of the patient;
comparing occurrence of the detected neuronal spiking activity with activity within the beta frequency band of the local field potential measured by at least the second electrode;
determining counts of neurons exhibiting neuronal spiking activity occurring within the beta frequency band in relation to movement of the first electrode along an electrode track; and
analyzing the counts of neurons exhibiting neuronal spiking activity along the electrode track to distinguish between a dorsal portion of the subthalamic nucleus and a ventral portion of subthalamic nucleus to identify the region of the brain.
2. The method of claim 1 , wherein the comparing includes detecting whether neuronal spiking activity and the measured local field potential are synchronized.
3. The method of claim 1 further comprising the step of stimulating the identified brain region to disrupt the discharges thereby treating a disease.
4. The method of claim 3 , wherein the disease is a movement disorder.
5. The method of claim 4 , wherein the movement disorder is Parkinson's disease.
6. The method of claim 1 further comprising:
detecting synchronized spiking activity in two respective neurons.
7. The method of claim 1 wherein the comparing further comprising:
calculating a coherence metric between neuronal spiking activity with activity within the beta frequency band of the local field potential while the first electrode and the second electrode are separated by at least 1 mm.
8. The method of claim 1 further comprising:
calculating a first power metric for activity within the dorsal portion of the subthalamic nucleus; and
calculating a second power metric for activity within the ventral portion of the subthalamic nucleus.
9. The method of claim 1 further comprising:
determining a frequency of peak power for activity within the beta frequency band of the local field potential.