Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-26T15:45:41.177Z Has data issue: false hasContentIssue false

IQ and the Fronto-temporal Cortex in Bipolar Disorder

Published online by Cambridge University Press:  23 January 2012

Leticia Gutiérrez-Galve*
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom Hospital Clínico Universitario and Universidad de Zaragoza. Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM). Ministerio de Ciencia e Innovación, Hospital Gregorio Marañón, Pabellón de Gobierno, Madrid, Spain
Stefania Bruno
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom
Claudia A.M. Wheeler-Kingshott
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom
Mary Summers
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom
Lisa Cipolotti
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom
Maria A. Ron
Affiliation:
UCL Institute of Neurology, Queen Square, London, United Kingdom
*
Correspondence and reprint requests to: Leticia Gutierrez-Galve, Box 112 National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK. E-mail: [email protected]

Abstract

Cognitive changes are documented in bipolar disorder (BP). Cortical volume loss, especially in prefrontal regions, has also been reported, but associations between cognition and cortical abnormalities have not been fully documented. This study explores associations between cognitive performance and cortical parameters (area, thickness and volume) of the fronto-temporal cortex in 36 BP patients (25 BPI and 11 BPII). T1-weighted volumetric MRI images were obtained using a 1.5 Tesla scanner. Cortical parameters were measured using surface-based morphometry and their associations with estimated premorbid, current IQ, visual memory, and executive function explored. Premorbid IQ was associated with frontal cortical area and volume, but no such associations were present for current cognitive performance. Cortical parameters were not different in BPI and BPII patients, but the association between current IQ and temporal cortical area was stronger in BPII patients. The pattern of cortico-cognitive associations in BPI and BPII patients merits further consideration. (JINS, 2012, 18, 370–374)

Type
Brief Communications
Copyright
Copyright © The International Neuropsychological Society 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Beasley, C.L., Cotter, D.R., Everall, I.P. (2002). Density and distribution of white matter neurons in schizophrenia, bipolar disorder and major depressive disorder: no evidence for abnormalities of neuronal migration. Molecular Psychiatry, 7, 564570.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., Pantelis, C. (2009). Cognitive functioning in schizophrenia, schizoaffective disorder and affective psychoses: Meta-analytic study. The British Journal of Psychiatry, 195, 475482.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., Pantelis, C. (2010). Cognitive impairment in affective psychoses: A meta-analysis. Schizophrenia Bulletin, 36, 112125.CrossRefGoogle ScholarPubMed
Bruno, S.D., Barker, G.J., Cercignani, M., Symms, M., Ron, M.A. (2004). A study of bipolar disorder using magnetization transfer imaging and voxel-based morphometry. Brain, 127, 24332440.CrossRefGoogle ScholarPubMed
Bruno, S., Cercignani, M., Ron, M.A. (2008). White matter abnormalities in bipolar disorder: A voxel-based diffusion tensor imaging study. Bipolar Disorders, 10, 460468.CrossRefGoogle ScholarPubMed
Bruno, S.D., Papadopoulou, K., Cercignani, M., Cipolotti, L., Ron, M.A. (2006). Structural brain correlates of IQ changes in bipolar disorder. Psychological Medicine, 36, 609618.CrossRefGoogle ScholarPubMed
Du, A.T., Schuff, N., Kramer, J.H., Rosen, H.J., Gorno-Tempini, M.L., Rankin, K., Weiner, M.W. (2007) Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. Brain, 130, 11591166.CrossRefGoogle ScholarPubMed
Fischl, B., Dale, A.M. (2000). Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceedings of the National Academy of Sciences of the United States of America, 97, 1105011055.CrossRefGoogle ScholarPubMed
Fornito, A., Malhi, G.S., Lagopoulos, J., Ivanovski, B., Wood, S.J., Velakoulis, D., Yucel, M. (2007) In vivo evidence for early neurodevelopmental anomaly of the anterior cingulate cortex in bipolar disorder. Acta Psychiatrica Scandinavica, 116, 467472.CrossRefGoogle ScholarPubMed
Gutierrez-Galve, L., Wheeler-Kingshott, C.A., Altmann, D.R., Price, G., Chu, E.M., Leeson, V.C., Ron, M.A. (2010). Changes in the frontotemporal cortex and cognitive correlates in first-episode psychosis. Biological Psychiatry, 68, 5160.CrossRefGoogle ScholarPubMed
Ha, T.H., Ha, K., Kim, J.H., Choi, J.E. (2009). Regional brain gray matter abnormalities in patients with bipolar II disorder: A comparison study with bipolar I patients and healthy controls. Neuroscience Letters, 456, 4448.CrossRefGoogle ScholarPubMed
Lopez-Jaramillo, C., Lopera-Vasquez, J., Ospina-Duque, J., Garcia, J., Gallo, A., Cortez, V., Vieta, E. (2010). Lithium treatment effects on the neuropsychological functioning of patients with bipolar I disorder. Journal of Clinical Psychiatry, 71, 10551060.CrossRefGoogle ScholarPubMed
Lyoo, I.K., Sung, Y.H., Dager, S.R., Friedman, S.D., Lee, J.Y., Kim, S.J., Renshaw, P.F. (2006). Regional cerebral cortical thinning in bipolar disorder. Bipolar Disorders, 8, 6574.CrossRefGoogle ScholarPubMed
McIntosh, A.M., Moorhead, T.W., McKirdy, J., Hall, J., Sussmann, J.E., Stanfield, A.C., Lawrie, S.M. (2009). Prefrontal gyral folding and its cognitive correlates in bipolar disorder and schizophrenia. Acta Psychiatrica Scandinavica, 119, 192198.CrossRefGoogle Scholar
Moskvina, V., Craddock, N., Holmans, P., Nikolov, I., Pahwa, J.S., Green, E., O'Donovan, M.C. (2009). Gene-wide analyses of genome-wide association data sets: Evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk. Molecular Psychiatry, 14, 252260.CrossRefGoogle ScholarPubMed
Nelson, H., Willson, J. (1991). The Revised National Adult Reading Test (NART)-Test Manual. NFER-Nelson. Windsor: Oxford University Press.Google Scholar
Panizzon, M.S., Fennema-Notestine, C., Eyler, L.T., Jernigan, T.L., Prom-Wormley, E., Neale, M., Kremen, W.S. (2009). Distinct genetic influences on cortical surface area and cortical thickness. Cerebral Cortex, 19, 27282735.CrossRefGoogle ScholarPubMed
Penttila, J., Cachia, A., Martinot, J.L., Ringuenet, D., Wessa, M., Houenou, J., Paillere-Martinot, M.L. (2009). Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder. Bipolar Disorders, 11, 361370.CrossRefGoogle ScholarPubMed
Rimol, L.M., Hartberg, C.B., Nesvag, R., Fennema-Notestine, C., Hagler, D.J. Jr., Pung, C.J., Agartz, I. (2010). Cortical thickness and subcortical volumes in schizophrenia and bipolar disorder. Biological Psychiatry, 68, 4150.CrossRefGoogle ScholarPubMed
Summers, M., Papadopoulou, K., Bruno, S., Cipolotti, L., Ron, M.A. (2006). Bipolar I and bipolar II disorder: Cognition and emotion processing. Psychological Medicine, 36, 17991809.CrossRefGoogle ScholarPubMed