Adolfo Cotter,MD

Brain-Mind Interface


Dr. Cotter practices Telemedicine in Primary Care. Conducts a competent, highly responsive Telemedicine practice since 2012, treating a variety of medical conditions from simple to very complex. Proficient with electronic medical records using a wide range of software packages and other forms of computing. Dr. Cotter also practiced Medicine doing Home Care, Urgent Care and Hospital Work.

Dr. Cotter has medical licenses in the states of Michigan, Indiana, and telehealth registration in the states of Minnesota and Florida. The links to the states medical boards are: Florida, http://www.flhealthsource.gov/telehealth/ Minnesota, https://mn.gov/boards/medical-practice/ Indiana, https://mylicense.in.gov/everification/ Michigan, https://www.michigan.gov/lara/0,4601,7-154-89334_72600_85566—,00.html

Dr. Adolfo Cotter founded Cognimetrix in 2007, motivated by a tremendous personal interest in the use of brain imaging data in the development of bionic based software to enhance creativity and intelligence.

Throughout his career, Dr. Cotter has performed brain imaging research in academic institutions such as Unversity of Toronto, University of Pennsylvania, and Emory University. He has also conducted brain imaging research for commercial companies such as at Cerebral Diagnostics.

Dr. Cotter has given lectures in Brain Imaging and attended numerous Brain Imaging meetings where he has presented his research projects. He has experience in brain imaging data acquisition and analysis for technologies such as PET, SPECT, MRI, fMRI and EEG. During his brain imaging analysis work, he has done biostatistics using a variety of software programs.

EEG and fMRI Fusion

EIt has been shown that when evaluating for the time sequence of brain events, either EEG or fMRI can be inadequate. EEG is known for its high temporal resolution. fMRI is known for its high spatial resolution when compared to EEG. EEG will provide the electrical activity information and fMRI the hemodynamic information. It would make sense that fusing and combining the data available from each technology would give more robust information of the localization of the time sequence of events. A study performed by Daunizeau etal. “Symmetrical Event-related EEG/FMRI information fusion in a variational Bayesian framework” shows that this could be the case. Their results also show that a) the”localization of the time sequence of events vary between EEG and fMRI, ” b) there”is a significant finding of areas that are active on EEG and not so on fMRI. In their study they propose a model for this fusion.  They used the model on an epilepsy study and they showed that the fusion proved to be beneficial and robust. The results were validated with intracranial EEG measurements. This fusion should give better results than LORETA for source localization using EEG. I want to end this paragraph by wishing you a very successful and happy 2010!

Adolfo Cotter, MD

Jan 04/2010



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