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Volume of the Human Septal Forebrain Region Is a Predictor of Source Memory Accuracy

Published online by Cambridge University Press:  09 December 2011

Tracy Butler*
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Karen Blackmon
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Laszlo Zaborszky
Affiliation:
Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, New Jersey
Xiuyuan Wang
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Jonathan DuBois
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Chad Carlson
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
William B. Barr
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Jacqueline French
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Orrin Devinsky
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Ruben Kuzniecky
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York
Eric Halgren
Affiliation:
Multimodal Imaging Laboratory, University of California, San Diego, California
Thomas Thesen
Affiliation:
Comprehensive Epilepsy Center, Department of Neurology, New York University Medical Center, New York, New York Multimodal Imaging Laboratory, University of California, San Diego, California
*
Correspondence and reprint requests to: Tracy Butler, NYU Comprehensive Epilepsy Center, Department of Neurology, 223 East 34th Street New York, New York 10016. E-mail: [email protected]

Abstract

Septal nuclei, components of basal forebrain, are strongly and reciprocally connected with hippocampus, and have been shown in animals to play a critical role in memory. In humans, the septal forebrain has received little attention. To examine the role of human septal forebrain in memory, we acquired high-resolution magnetic resonance imaging scans from 25 healthy subjects and calculated septal forebrain volume using recently developed probabilistic cytoarchitectonic maps. We indexed memory with the California Verbal Learning Test-II. Linear regression showed that bilateral septal forebrain volume was a significant positive predictor of recognition memory accuracy. More specifically, larger septal forebrain volume was associated with the ability to recall item source/context accuracy. Results indicate specific involvement of septal forebrain in human source memory, and recall the need for additional research into the role of septal nuclei in memory and other impairments associated with human diseases. (JINS, 2012, 18, 157–161)

Type
Brief Communications
Copyright
Copyright © The International Neuropsychological Society 2011

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References

Alexander, M.P., Freedman, M. (1984). Amnesia after anterior communicating artery aneurysm rupture. Neurology, 34(6), 752757.Google Scholar
Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. Neuroimage, 38(1), 95113.Google Scholar
Caplan, J.B., McIntosh, A.R., De Rosa, E. (2007). Two distinct functional networks for successful resolution of proactive interference. Cerebral Cortex, 17(7), 16501663.Google Scholar
Colom, L.V., Garrido-Sanabria, E. (2007). Modulation of normal and altered hippocampal excitability states by septal networks. Journal of Neuroscience Research, 85(13), 28392843.Google Scholar
De Rosa, E., Desmond, J.E., Anderson, A.K., Pfefferbaum, A., Sullivan, E.V. (2004). The human basal forebrain integrates the old and the new. Neuron, 41(5), 825837.Google Scholar
Delis, D., Kramer, J., Kaplan, E., Ober, B. (2000). California Verbal Learning Test: Second edition. Adult version. Manual. San Antonio, TX: Psychological Corporation.Google Scholar
Draganski, B., Gaser, C., Kempermann, G., Kuhn, H.G., Winkler, J., Buchel, C., May, A. (2006). Temporal and spatial dynamics of brain structure changes during extensive learning. The Journal of Neuroscience, 26(23), 63146317.Google Scholar
Fine, E.M., Delis, D.C., Wetter, S.R., Jacobson, M.W., Hamilton, J.M., Peavy, G., Salmon, D. (2008). Identifying the “source” of recognition memory deficits in patients with Huntington's disease or Alzheimer's disease: Evidence from the CVLT-II. Journal of Clinical and Experimental Neuropsychology, 30(4), 463470.Google Scholar
Fujii, T., Okuda, J., Tsukiura, T., Ohtake, H., Miura, R., Fukatsu, R., Yamadori, I. (2002). The role of the basal forebrain in episodic memory retrieval: A positron emission tomography study. Neuroimage, 15(3), 501508.Google Scholar
Grothe, M., Zaborszky, L., Atienza, M., Gil-Neciga, E., Rodriguez-Romero, R., Teipel, S.J., Cantero, J.L. (2010). Reduction of basal forebrain cholinergic system parallels cognitive impairment in patients at high risk of developing Alzheimer's disease. Cerebral Cortex, 20(7), 16851695.Google Scholar
Heath, R.G. (2005). Common characteristics of epilepsy and schizophrenia: Clinical observation and depth electrode studies. 1961. Epilepsy & Behavior, 6(4), 633645.CrossRefGoogle ScholarPubMed
Huerta, P.T., Lisman, J.E. (1993). Heightened synaptic plasticity of hippocampal CA1 neurons during a cholinergically induced rhythmic state. Nature, 364(6439), 723725.Google Scholar
Jernigan, T.L., Ostergaard, A.L., Fennema-Notestine, C. (2001). Mesial temporal, diencephalic, and striatal contributions to deficits in single word reading, word priming, and recognition memory. Journal of the International Neuropsychological Society, 7(1), 6378.Google Scholar
Johnson, M.K., Hashtroudi, S., Lindsay, D.S. (1993). Source monitoring. Psychological Bulletin, 114(1), 328.Google Scholar
Kanai, R., Rees, G. (2011). The structural basis of inter-individual differences in human behaviour and cognition. Nature Review Neuroscience, 12(4), 231242.Google Scholar
Kaplan, E., Goodglass, H., Weintraub, S. (1983). The Boston Naming Test. Philadelphia: Lea & Febiger.Google Scholar
Mai, J., Assheuer, J., Paxinos, G. (2004). Atlas of the human brain. Boston: Elsevier Academic Press.Google Scholar
Mesulam, M.M., Mufson, E.J., Wainer, B.H., Levey, A.I. (1983). Central cholinergic pathways in the rat: An overview based on an alternative nomenclature (Ch1-Ch6). Neuroscience, 10(4), 11851201.Google Scholar
Van Petten, C. (2004). Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: Review and meta-analysis. Neuropsychologia, 42(10), 13941413.Google Scholar
Zaborszky, L., Hoemke, L., Mohlberg, H., Schleicher, A., Amunts, K., Zilles, K. (2008). Stereotaxic probabilistic maps of the magnocellular cell groups in human basal forebrain. Neuroimage, 42(3), 11271141.Google Scholar
Supplementary material: PDF

Butler Supplementary Table

Supplementary Table 1. Neuropsychological test data for California Verbal Learning Test-II and Boston Naming Test

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