This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project is aimed at developing optimal methods for visualizing spatial and temporal features of complex brain activity. The hybrid nature of brain networks (i.e. combinations of serial, parallel, local independent operations and hierarchical dependencies within a network) is expected to result in very complicated spatial?temporal patterns of activity underlying mental processes. Anatomical studies have demonstrated modular organization in the brain with extensive interconnectivity consistent with network structures. Neurophysiological studies have uncovered the tremendous range of temporal activity patterns possible in ensembles of neurons within a brain area and modeling studies suggest that such patterns can encode a variety of functions (e.g. Steriade et al., 1996; Samsonovich & McNaughton, 1997). An even larger range of temporal patterns can be expected when one considers activity across brain areas. Explorations of temporal patterns between small numbers of neurons (e.g. 2 or 3), or brain areas, have shown interesting correlations in activity (e.g. McClurkin & Optican, 1996; Engel et al., 1997). It is likely that much more will be revealed as we look at the spatial temporal patterns between all the interconnected areas underlying a given mental process (Simpson et al., 1995). Methods that examine correlations between activation in different brain regions have been applied initially to PET and fMRI data (Friston et al., 1996). Our group will expand upon this approach by taking advantage of the high resolution temporal patterns within and between active regions provided by our integrated multimodal imaging techniques. However, the spatial temporal patterns will be an order of magnitude more complex than those currently being studied with other methods, requiring the new tools provided by this Center for visualization and analysis.
| Green, Shulamite A; Hernandez, Leanna M; Bowman, Hilary C et al. (2018) Sensory over-responsivity and social cognition in ASD: Effects of aversive sensory stimuli and attentional modulation on neural responses to social cues. Dev Cogn Neurosci 29:127-139 |
| Yang, Yaling; Joshi, Shantanu H; Jahanshad, Neda et al. (2017) Neural correlates of proactive and reactive aggression in adolescent twins. Aggress Behav 43:230-240 |
| Dennis, Emily L; Rashid, Faisal; Faskowitz, Josh et al. (2017) MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. Proc IEEE Int Symp Biomed Imaging 2017:101-104 |
| Walsh, Christine M; Ruoff, Leslie; Walker, Kathleen et al. (2017) Sleepless Night and Day, the Plight of Progressive Supranuclear Palsy. Sleep 40: |
| Green, Shulamite A; Hernandez, Leanna; Bookheimer, Susan Y et al. (2017) Reduced modulation of thalamocortical connectivity during exposure to sensory stimuli in ASD. Autism Res 10:801-809 |
| Agis, Daniel; Goggins, Maria B; Oishi, Kumiko et al. (2016) Picturing the Size and Site of Stroke With an Expanded National Institutes of Health Stroke Scale. Stroke 47:1459-65 |
| Levine, Andrew J; Soontornniyomkij, Virawudh; Achim, Cristian L et al. (2016) Multilevel analysis of neuropathogenesis of neurocognitive impairment in HIV. J Neurovirol 22:431-41 |
| Flournoy, John C; Pfeifer, Jennifer H; Moore, William E et al. (2016) Neural Reactivity to Emotional Faces May Mediate the Relationship Between Childhood Empathy and Adolescent Prosocial Behavior. Child Dev 87:1691-1702 |
| Joshi, Shantanu H; Vizueta, Nathalie; Foland-Ross, Lara et al. (2016) Relationships Between Altered Functional Magnetic Resonance Imaging Activation and Cortical Thickness in Patients With Euthymic Bipolar I Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 1:507-517 |
| Ordóñez, Anna E; Loeb, Frances F; Zhou, Xueping et al. (2016) Lack of Gender-Related Differences in Childhood-Onset Schizophrenia. J Am Acad Child Adolesc Psychiatry 55:792-9 |
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