3rd International Conference on Applications of Neuroimaging to Alcoholism (ICANA-3)

THE 3rd INTERNATIONAL CONFERENCE ON APPLICATIONS OF NEUROIMAGING TO ALCOHOLISM (ICANA-3) will be held on the Medical Campus of Yale University in New Haven, CT, USA, on February 15-18, 2013. ICANA is supported by the NIAAA Center for the Translational Neuroscience of Alcoholism (CTNA). Cutting edge functional and molecular neuroimaging and clinical correlates will be highlighted. Sessions will combine focus on neuroimaging methodology and applications to alcoholism.

The ICANA-3 will foster interest and research in this expanding technological area. As in the past, the conference will bring together leading investigators with expertise in diverse imaging techniques to consider methodological applications to alcoholism, and foster collaboration. The conference will provide an opportunity to shape and fertilize neuroimaging research in alcoholism by convening leading imaging investigators to collaboratively focus on neuroimaging applications in alcoholism.

The conference will bring together neuroimagers with diverse technical and clinical expertise to consider methodological applications to alcoholism. A distinctive feature of the design of this meeting is its focus on multi-modality imaging (sMRI, DTI, fMRI, MRS, PET, SPECT), promoting interdisciplinary crosstalk. As with past conferences, ICANA-3 highlights “hot” issues in the field for special focus and emerging technologies within each neuroimaging modality.

The specific goals and learning objectives of the symposium are:

• Participants will learn about the four broad areas of neuroimaging methodology
  • MRS
  • fMRI/MEG/EEG
  • Imaging Genomics
  • PET/SPECT
• Participants will learn about progress that has been made in applying neuroimaging technologies to study alcohol intoxication, dependence, and the vulnerability to alcoholism.
• Participants will learn about the complementary nature of different imaging modalities and opportunities arising from multimodal neuroimaging.