Abstract
We investigated the neural connectivity induced by face presentation with different emotional valences in Parkinson’s disease (PD) patients and a control group of healthy, drug-free volunteers, using event-related fMRI in a parametric design. The focus of this work was applying Dynamic Causal Modelling (DCM), an approach that allows the assessment of effective connectivity within cortical networks [1], to the study of effective connectivity between maximally activated brain regions in response to passive viewing of facial stimuli. A connectivity model was built based on the literature and in our fMRI analyses, which included the fusiform gyrus (FG), the anterior cingulate cortex (ACG), the dorsolateral prefrontal cortex (DLPFC) and the dorso-medial pre-frontal cortex (DMPFC) areas. The results showed differences in connectivity between the PD group and the control group. We found that the intrinsic connectivities among DLPFC/DMPFC and FG, DLPFC/DMPFC and ACG, were higher in PD patients than in healthy subjects, while the effective connectivity among FG and ACG was lower in PD patients.
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References
Friston, K., Harrison, L., Penny, W.: Dynamic causal modeling. NeuroImage 19, 1273–1302 (2003)
Fairhall, S., Ishai, A.: Effective Connectivity within the Distributed Cortical Network for Face Perception. Cerebral Cortex 17(10), 2400–2406 (2007)
Haxby, J., Hoffman, E., Gobbini, M.: The distributed human neural system for face perception. Trends in Cognitive Sciences 4(6), 223–233 (2000)
Phillips, M., Drevets, W., Rauch, S., Lane, R.: Neurobiology of emotion perception I: The neural basis of normal emotion perception. Biological Psychiatry 54, 504–514 (2003)
Phillips, M., Drevets, W., Rauch, S., Lane, R.: Neurobiology of emotion perception II: Implications for major psychiatric disorders. Biological Psychiatry 54, 515–528 (2003)
Mechelli, A., Price, C., Friston, K., Ishai, A.: Where bottom-up meets top-down: neuronal interactions during perception and imagery. Cerebral Cortex 14, 1256–1265 (2004)
Rotshtein, P., Vuilleumier, P., Winston, J., Driver, J., Dolan, R.: Distinct and convergent visual processing of high and low spatial frequency information in faces. Cerebral Cortex 17, 2713–2724 (2007)
Cardoso, E., Fregni, F., Maia, F., Boggio, P., Myczkowski, M., Coracini, K., Vieira, A., Melo, L., Sato, J., Marcolin, M., Rigonatti, S., Cruz, A., Barbosa, E., Amaro, E.: rTMS treatment for depression in Parkinson’s disease increases BOLD responses in the left prefrontal cortex. International Journal of Neuropsychopharmacology 11(2), 173–183 (2007)
Cardoso, E.F., Maia, F.M., Fregni, F., Myczkowski, M.L., Melo, L.M., Sato, J.R., Marcolin, M.A., Rigonatti, S.P., Cruz Jr., A.C., Barbosa, E.R., Amaro Jr., E.: Depression in Parkinson’s disease: convergence from voxel-based morphometry and functional magnetic resonance imaging in the limbic thalamus. NeuroImage 47, 467–472 (2009)
Fu, C., Williams, S., Cleare, A., Brammer, M., Walsh, N., Kim, J., Andrew, C., Pich, E., Williams, P., Reed, L., et al.: Attenuation of the neural response to sad faces in major depression by antidepressant treatment: a prospective, event-related functional magnetic resonance imaging study. Archives of General Psychiatry 61, 877–889 (2004)
Maldjian, J., Laurienti, P., Burdette, J., Kraft, R.: An Automated Method for Neuroanatomic and Cytoarchitectonic Atlas-based Interrogation of fMRI Data Sets. NeuroImage 19, 1233–1239 (2003)
Maldjian, J., Laurienti, P., Burdette, J.: Precentral Gyrus Discrepancy in Electronic Versions of the Talairach Atlas. Neuroimage 21(1), 450–455 (2004)
Assogna, F., Pontieri, F., Caltagirone, C., Spalletta, G.: The recognition of facial emotion expressions in Parkinson’s disease. European Neuropsychopharmacology 18, 835–848 (2008)
Dujardin, K., Blairy, S., Defebvre, L., Duhemb, S., Noël, Y., Hess, U., Destée, A.: Deficits in decoding emotional facial expressions in Parkinson’s disease. Neuropsychologia 42, 239–250 (2004)
Sprengelmeyer, R., Young, A., Mahna, K., Schroeder, U., Woitalla, D., Büttner, T., Kuhn, W., Przuntek, H.: Facial expression recognition in people with medicated and unmedicated Parkinson’s disease. Neuropsychologia 41, 1047–1057 (2003)
Yip, J.T.H., Lee, T.M.C., Ho, S.L., Tsang, K., Li, L.S.W.: Emotion Recognition in Patients With Idiopathic Parkinson’s Disease. Movement Disorders 18, 1115–1122 (2003)
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da Silva, E.L., Castellano, G., Sato, J.R., Cardoso, E.F., Amaro, E. (2011). Emotional Face Perception in Healthy Subjects and Parkinson’s Disease: An Effective Connectivity Study. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2010. Communications in Computer and Information Science, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18472-7_22
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DOI: https://doi.org/10.1007/978-3-642-18472-7_22
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