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HBM2010 - Organization for Human Brain Mapping

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SCIENTIFIC PROGRAM<br />

9:00 – 10:15<br />

H1 & 2 (Level -1)<br />

MORNING WORKSHOP<br />

Retinotopic <strong>Mapping</strong>: Techniques, Current Concepts<br />

and Research Trends<br />

Chairs: Mark M. Schira, Prince of Wales Medical Research<br />

Institute, Sydney, Australia and<br />

Serge O. Dumoulin, Utrecht University, Utrecht,<br />

The Netherlands<br />

A key property of visual cortex is the existence of multiple<br />

retinotopic maps. These maps are not simply an anatomical<br />

property, but a key principle in the functional organization<br />

of in<strong>for</strong>mation processing. Reconstructing these maps in vivo,<br />

Retinotopic mapping provides insight into cortical<br />

organization, but also are a prerequisite <strong>for</strong> many<br />

investigations of the visual system. Retinotopic maps further<br />

serve as a model to elucidate more general principles of brain<br />

function, such as plasticity and interspecies comparisons.<br />

In this symposium we will introduce recent developments of<br />

retinotopic mapping techniques such as i) high resolution,<br />

ii) 7T and iii) model-based pRF techniques. We will discuss<br />

current concepts and interspecies differences of retinotopic<br />

cortex in humans and non-human primates including the<br />

foveal confluence. Finally, we will highlight some recent<br />

insights on clinical manifestations and cortical plasticity<br />

based on current retinotopic concepts.<br />

Learning Objectives<br />

Having completed this workshop, participants will be<br />

able to:<br />

1. Understand techniques and methods used in<br />

contemporary retinotopic mapping;<br />

2. Learn the implications of the visual field maps<br />

organization on general brain functions;<br />

3. Discuss the comparisons between human and<br />

non-human visual cortex; and<br />

4. Understand some of the clinical implications of<br />

retinotopic mapping<br />

The Foveal Confluence, <strong>Organization</strong>, Algebraic Modeling<br />

Functions, Simple <strong>Mapping</strong> Techniques<br />

Mark M. Schira, Prince of Wales Medical Research Institute,<br />

Sydney, Australia<br />

Visual Cortex Reorganization After Injury: Lessons from<br />

Primate fMRI<br />

Stelios M. Smirnakis, Baylor College of Medicine,<br />

Houston, TX, USA<br />

Retinopic <strong>Mapping</strong> at 7 Tesla Magnetic Field Strength<br />

Michael B. Hoffmann, University Magdeburg, Magdeburg,<br />

Germany<br />

Measuring Population Receptive Field Properties using fMRI:<br />

Methods and Applications<br />

Serge O. Dumoulin, Utrecht University, Utrecht,<br />

The Netherlands<br />

9:00 – 10:15<br />

J & H3 (Level -1)<br />

MORNING WORKSHOP<br />

<strong>Human</strong> Intra-Cranial Electrophysiology (ICE) in<br />

Mind/<strong>Brain</strong> <strong>Mapping</strong> – Linking Levels of Analysis from<br />

Cells to Psychology<br />

Chair: Ned T. Sahin, University of Cali<strong>for</strong>nia-San Diego,<br />

La Jolla, CA, USA<br />

Description<br />

This session will overview advantages of Intra-cranial<br />

Electrophysiology (ICE) and highlight results in four cognitive<br />

domains that were uniquely achievable with ICE. The study of<br />

human cognition is severely limited by current methods.<br />

Neuroimaging has trans<strong>for</strong>med our gamut of addressable<br />

questions yet still imposes limitations of temporal, spatial,<br />

and physiological resolution. These translate into a limitation<br />

on ‘algorithmic resolution’ or the types of computation that<br />

we can observe in the brain. While direct recordings from<br />

brain tissue are generally not possible in humans, and<br />

aspects of cognition (e.g. language) have no useful animal<br />

model, patients with electrodes implanted in their brains <strong>for</strong><br />

surgery (and who have normal cognitive abilities) provide a<br />

unique opportunity to Link the Levels of inquiry. ICE allows<br />

measurements from single unit activity (SUA) up to local-field<br />

and brain-surface potentials (ICE ERPs). In conjunction with<br />

non-invasive methods, it also allows us to ask what level(s)<br />

actually best reveal mechanisms of cognition – since more<br />

resolution is not always better. Finally, fine-scale ICE results<br />

can in<strong>for</strong>m non-invasive methods. For instance, if disparate<br />

mental functions are traced to the same neural circuit, but<br />

are compartmentalized in time rather than space, paradigms<br />

<strong>for</strong> fMRI can and must be designed to manipulate those<br />

functions temporally.<br />

28 | HBM 2010 Program

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