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[Abstract Title]. - Society for Neuroscience

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voxel-based statistical analysis. It is fully written in ITK (National Library of Medicine Insight<br />

Segmentation and Registration Toolkit) and presents a user-friendly interface.<br />

JULIDE is based on a four-step approach which includes: (1) an automated pre-processing to<br />

select the desired section, (2) a 3D reconstruction of autoradiographic volumes, (3) a spatial<br />

normalization to compensate all the differences in position, orientation and shape and finally (4)<br />

a 3D voxel-based statistical analysis based on t-test.<br />

Outputs of JULIDE are two 3D activation maps allowing to identify the significant differences<br />

(positive and negative) in CMRGlu between two groups. The comparison of CMRGlu between<br />

two groups is represented by color-coded statistical maps of p values defined by the user.<br />

We have applied this approach to the study of the regional variations in CMRGlu in mice<br />

undergoing a spatial learning task. Significant differences in the areas engaged during the<br />

behavioural task at day 1 vs day 9, when animals are highly per<strong>for</strong>ming, have been identified .<br />

Results obtained with JULIDE are comparable to those obtained manually by optical<br />

densitometry of pre-selected ROI such as the hippocampus, the most activated region at day 1.<br />

This metabolic activation is localized to the cingulate and retrosplenial cortices at day 9.<br />

Softwares such as JULIDE and other recently proposed (Dubois, A et al 2008) are likely to<br />

provide useful tools to exploit to its full extent the use of 2DG autoradiography to complement<br />

behavioural and pharmacological studies in laboratory animals.<br />

Disclosures: J. Parafita , None; F. Magara, None; R. Charrier, None; D. Ribes, None; J.<br />

Thiran, None; P. Magistretti, None.<br />

Poster<br />

296. Learning and Memory: Physiology and Imaging III<br />

Time: Sunday, November 16, 2008, 1:00 pm - 5:00 pm<br />

Program#/Poster#: 296.11/TT17<br />

Topic: F.02.i. Learning and memory: Physiology and imaging<br />

Support: NIMH Grant MH-072641<br />

Sigma Xi Grants-in-Aid of Research<br />

NASA GSRP Grant NNX06AH25H-S01<br />

<strong>Title</strong>: Hemodynamic and electrophysiological evidence of resting-state network activity in the<br />

primate

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