[Abstract Title]. - Society for Neuroscience

Authors: *M. S. SCULLY 1,3 , B. ANDERSON 1 , T. LANE 1 , H. J. BOCKHOLT 3 , V. P.
CLARK 3,2 , V. CALHOUN 3,2 , R. GOLLUB 4 , B. HO 5 , J. LAURIELLO 2 , T. WHITE 6 , R. JUNG 3,2 ;
1 Computer Sci., 2 Univ. New Mexico, Albuquerque, NM; 3 The Mind Res. Network,
Albuquerque, NM; 4 Massachusetts Gen. Hosp., Boston, MA; 5 Unniversity of Iowa, Iowa City,
IA; 6 Univ. Minnesota, Minneapolis, MN
Abstract: Purpose: To evaluate the parietal-frontal integration theory (P-FIT) proposed by
Jung, Hair et al (Behav Brain Sci. 2007 Apr), using a dynamic Bayesian network analysis of
brain function data collected during a neurocognitive task.
Methods: fMRI scans obtained during four runs of the auditory oddball task. This task used rare
pure tone target (9% of stimuli, 1500 Hz, requiring a button press), frequent standard (1000Hz,
92%) and rare novel stimuli (9%, random computer generated sounds) presented for 200 ms
each, with ISIs varied from 550 to 2050 ms. Data were collected from 94 healthy normal human
subjects (47 males, 47 females, matched on generalized intelligence/g score). The g score was
calculated as the unrotated first component of the principle component analysis of a general
neuropsychological battery. The subjects were split into low (17 subjects), medium (47 subjects),
and high (30 subjects) groups based on their g score, and a region-based analysis was performed
using the AAL atlas. SBNet (http://www.cs.unm.edu/~lawnguy/sbnet/index.html) was then used
to extract the dynamic Bayesian networks representing the functional network of activity present
in each group. The functional networks extracted were then compared between groups by
analyzing network level differences and the nonlinear models represented by the conditional
probability tables (CPTs) at each region.
Results:Many differences exist between groups at both the network and CPT level. Initial
findings indicate a functional network consistent with the structural network identified in the P-
FIT model.
Conclusions: We found that different parts of the P-FIT network have different levels of
influence depending on whether the subject falls into the low, mid, or high g group. Specifically,
Broca's region was found to be statistically significant in the high g group, but not the low g
group, and Wernicke's region was found to be statistically significant in the low g group, but not
the high g group.
Disclosures: M.S. Scully , None; B. Anderson, None; T. Lane, None; H.J. Bockholt,
None; V.P. Clark, None; V. Calhoun, None; R. Gollub, None; B. Ho, None; J. Lauriello,
None; T. White, None; R. Jung, None.
Poster
290. Animal Cognition and Behavior: Learning and Memory: Pharmacology I
Time: Sunday, November 16, 2008, 1:00 pm - 5:00 pm
Program#/Poster#: 290.1/RR52