The identified brain regions have been previously shown to participate in the reinforcing, mood-elevating, and cognitive properties of other abused drugs such as cocaine, amphetamine, and opiates, suggesting that nicotine acts similarly in the human brain to produce its reinforcing and dependence properties.

As the applications of functional magnetic resonance imaging (fMRI) expand, there is a need for the development of new strategies for data extraction and analysis that do not require the presentation of stimuli in a repeated on/off pattern. A description and evaluation of a method and computer algorithm for the detection and analysis of brain activation patterns following acute drug administration using fMRI are presented. A waveform analysis protocol (WAP) input function has been developed that is based upon the single-dose pharmacokinetics of a drug of interest. As a result of this analysis, regional brain activation can be characterized by its localization and intensity of activation, onset of action, time to peak effect, and duration of action. A global statistical test for significant drug effects based upon the probability of a voxel being activated by a saline vehicle injection is applied to grouped data on a voxel by voxel basis. Representative data are presented using nicotine as a prototypical agent. Using this method, statistically significant drug-induced brain activation has been identified in several key cortical and subcortical brain regions.

Epidural cortical stimulation of the left dorsolateral prefrontal cortex appears to be a safe and potentially efficacious neuromodulation approach for treatment-refractory major depressive disorder.

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