Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

Background: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance and reversion to uncontrolled drug-resistant epilepsy and are often associated with significant adverse effects.

Activation of dominant hemisphere association cortex during naming as a function of cognitive performance in mild traumatic brain injury: Insights into mechanisms of lexical access.

Patients with a history of mild traumatic brain injury (mTBI) and objective cognitive deficits frequently experience word finding difficulties in normal conversation. We sought to improve our understanding of this phenomenon by determining if the scores on standardized cognitive testing are correlated with measures of brain activity evoked in a word retrieval task (confrontational picture naming). The study participants ( = 57) were military service members with a history of mTBI.

Statistical parameters of epileptiform brain activity differentiate frontal and temporal lobe patients.

Statistical properties of electromagnetic brain activity may increase the understanding of the human brain by providing precise numerical vales associated with neuronal activity. A statistical analysis was performed on frontal and temporal lobe patients to investigate possible differences between the two populations. Results were then compared to clinical results to confirm findings.

Hemispheric language dominance in magnetoencephalography: sensitivity, specificity, and data reduction techniques.

Understanding the areas involved in language functions not only enables investigators to understand neuroanatomical structures, but may be a promising technique in the presurgical evaluation of epilepsy. The predictive power of various data reduction techniques was tested on language data obtained by magnetoencephalography (MEG) of 16 patients and 12 control subjects. Words were presented aurally in two phases: the study phase and the recognition phase.