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Brain activation measured using functional magnetic resonance imaging during the Tower of London task

Published online by Cambridge University Press:  24 June 2014

Inge-Andre Rasmussen Jr*
Affiliation:
Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
Ida Kristin Antonsen
Affiliation:
Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
Erik Magnus Berntsen
Affiliation:
Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
Jian Xu
Affiliation:
Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
Jim Lagopoulos
Affiliation:
School of Psychiatry, University of New South Wales, Sydney, Australia Neuroscience Research Group, Mood Disorders Unit, Black Dog Institute, Sydney, Australia Department of Neurology, Westmead Hospital, Sydney, Australia
Asta Kristine Håberg
Affiliation:
Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
*
Dr Inge-Andre Rasmussen Jr, Department of Circulation and Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 7006, Norway. Tel: +61 2 93822998; Fax: +61 2 96591033; E-mail: [email protected]

Abstract

Background:

Individuals with traumatic brain injury (TBI) often suffer from a number of enduring cognitive impairments such as in attention, memory, speed of processing information and dual-task performance.

Objective:

The aim of this study was to assess the patterns of regional brain activation in response to the Tower of London (ToL) task in a group of patients suffering from chronic TBI using functional magnetic resonance imaging (fMRI).

Methods:

fMRI was performed during performance of the ToL planning task in 10 patients suffering from severe TBI and in 10 age- and sex-matched controls using a 3 T magnetic resonance scanner.

Results:

Performance data showed no difference in response accuracy between the TBI group and the healthy control group. Statistical parametric brain maps showed that the TBI group activates larger and additional areas of the cerebral cortex than the healthy control group both for tasks and for a subtraction contrast between the tasks.

Conclusions:

The results of this study are interpreted as a cortical reorganization inside the executive system of vigilance and working memory in patients with TBI. Both parietal and frontal areas are recruited to compensate for damaged brain tissue.

Type
Research Article
Copyright
Copyright © 2006 Blackwell Munksgaard

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References

Blatter, DD, Bigler, ED, Gale, SDet al. MR-based brain and cerebrospinal fluid measurement after traumatic brain injury: correlation with neuropsychological outcome. AJNR Am J Neuroradiol 1997;18:110. Google ScholarPubMed
Dikmen, SS, Ross, BL, Machamer, JE, Temkin, NR. One year psychosocial outcome in head injury. J Int Neuropsychol Soc 1995;1:6777. CrossRefGoogle ScholarPubMed
Richardson, J. Clinical and neuropsychological aspects of closed head injury. London, UK: Taylor and Francis, 1990. Google Scholar
Sarno, MT, Buonaguro, A, Levita, E. Characteristics of verbal impairment in closed head injured patients. Arch Phys Med Rehabil 1986;67:400405. Google ScholarPubMed
van Zomeren, AH, van den Burg, W. Residual complaints of patients two years after severe head injury. J Neurol Neurosurg Psychiatr 1985;48:2128. CrossRefGoogle ScholarPubMed
Vilkki, J. Cognitive flexibility and mental programming after closed head injuries and anterior or posterior cerebral excisions. Neuropsychologia 1992;30:807814. CrossRefGoogle ScholarPubMed
Shallice, T, Burgess, PW. Deficits in strategy application following frontal lobe damage in man. Brain 1991;114:727741. CrossRefGoogle ScholarPubMed
Walsh, K. Understanding brain damage. New York: Churchill Livingstone, 1985. Google Scholar
Cockburn, J. Performance on the Tower of London test after severe head injury. J Int Neuropsychol Soc 1995;1:537544. CrossRefGoogle Scholar
Anzai, Y, Simon, HA. The theory of learning by doing. Psychol Rev 1979;86:124140. CrossRefGoogle ScholarPubMed
Shallice, T. Specific impairments of planning. Philos Trans R Soc Lond B Biol Sci 1982;298:199209. CrossRefGoogle ScholarPubMed
Shallice, T. From neuropsychology to mental structure. Cambridge, UK: Cambridge University Press, 1988. CrossRefGoogle Scholar
Brouwer, WH, Schmidt, I, Vanier, M, Velten, JC, Wever, AME, Van Zomeren, AH. The relation between severity of closed head injury (CHI) and executive function: an inverse U-shaped function? Int Neuropsychol Soc 1994; Angers, France; 1994. Google Scholar
Owen, AM, Downes, JJ, Sahakian, BJ, Polkey, CE, Robbins, TW. Planning and spatial working memory following frontal lobe lesions in man. Neuropsychologia 1990;28:10211034. CrossRefGoogle ScholarPubMed
Ponsford, J, Kinsella, G. Attentional deficits following closed-head injury. J Clin Exp Neuropsychol 1992;14:822838. CrossRefGoogle ScholarPubMed
Talairach, J, Tournoux, P. Co-planar stereotaxic atlas of the human brain: three-dimensional proportional system. 1988. Thieme Medical, New York. Google Scholar
Kriegeskorte, N, Goebel, R. An efficient algorithm for topologically correct segmentation of the cortical sheet in anatomical MR volumes. Neuroimage 2001;14:329346. CrossRefGoogle ScholarPubMed
Dale, AM, Fischl, B, Sereno, MI. Cortical surface-based analysis – I. Segmentation and surface reconstruction. Neuroimage 1999;9:179194. CrossRefGoogle ScholarPubMed
Friston, KJ, Holmes, AP, Poline, JBet al. Analysis of fMRI time-series revisited. Neuroimage 1995;2:4553. CrossRefGoogle ScholarPubMed
Baker, SC, Rogers, RD, Owen, AMet al. Neural systems engaged by planning: a PET study of the Tower of London task. Neuropsychologia 1996;34:515526. CrossRefGoogle ScholarPubMed
Dagher, A, Owen, AM, Boecker, H, Brooks, DJ. The role of the striatum and hippocampus in planning: a PET activation study in Parkinson’s disease. Brain 2001;124:10201032. CrossRefGoogle ScholarPubMed
Fincham, JM, Carter, CS, Van Veen, V, Stenger, VA, Anderson, JR. Neural mechanisms of planning: a computational analysis using event-related fMRI. Proc Natl Acad Sci U S A 2002;99:33463351. CrossRefGoogle ScholarPubMed
Owen, AM, Doyon, J, Dagher, A, Sadikot, A, Evans, AC. Abnormal basal ganglia outflow in Parkinson’s disease identified with PET. Implications for higher cortical functions. Brain 1998;121:949965. CrossRefGoogle ScholarPubMed
Rasser, PE, Johnston, P, Lagopoulos, Jet al. Functional MRI BOLD response to Tower of London performance of first-episode schizophrenia patients using cortical pattern matching. Neuroimage 2005;26:941951. CrossRefGoogle Scholar
Schall, U, Johnston, P, Lagopoulos, Jet al. Functional brain maps of Tower of London performance: a positron emission tomography and functional magnetic resonance imaging study. Neuroimage 2003;20:11541161. CrossRefGoogle Scholar
van den Heuvel, OA, Groenewegen, HJ, Barkhof, F, Lazeron, RH, Van Dyck, R, Veltman, DJ. Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of Tower of London task. Neuroimage 2003;18:367374. CrossRefGoogle ScholarPubMed
Morris, RG, Ahmed, S, Syed, GM, Toone, BK. Neural correlates of planning ability – frontal-lobe activation during the Tower of London test. Neuropsychologia 1993;31:13671378. CrossRefGoogle ScholarPubMed
Robertson, EM, Tormos, JM, Maeda, F, Pascual-Leone, A. The role of the dorsolateral prefrontal cortex during sequence learning is specific for spatial information. Cereb Cortex 2001;11:628635. CrossRefGoogle ScholarPubMed
Funahashi, S, Bruce, CJ, Goldmanrakic, PS. Mnemonic coding of visual space in the monkeys dorsolateral prefrontal cortex. J Neurophysiol 1989;61:331349. Google ScholarPubMed
Petrides, M. Dissociable roles of mid-dorsolateral prefrontal and anterior inferotemporal cortex in visual working memory. J Neurosci 2000;20:74967503. Google ScholarPubMed
Owen, AM. Cognitive planning in humans: neuropsychological, neuroanatomical and neuropharmacological perspectives. Prog Neurobiol 1997;53:431. CrossRefGoogle ScholarPubMed
Christodoulou, C, DeLuca, J, Ricker, JHet al. Functional magnetic resonance imaging of working memory impairment after traumatic brain injury. J Neurol Neurosurg Psychiatr 2001;71:161168. CrossRefGoogle ScholarPubMed
Perlstein, WM, Cole, MA, Demery, JAet al. Parametric manipulation of working memory load in traumatic brain injury: behavioral and neural correlates. J Int Neuropsychol Soc 2004;10:724741. CrossRefGoogle ScholarPubMed
Scheibel, RS, Pearson, DA, Faria, LPet al. An fMRI study of executive functioning after severe diffuse TBI. Brain Inj 2003;17:919930. CrossRefGoogle ScholarPubMed
Seidman, LJ, Breiter, HC, Goodman, JM, Goldstein, JM, Woodruff, PWR, Rosen, BR. A functional magnetic resonance imaging study of auditory vigilance with low and high information processing demands. Neuropsychology 1998;12:505518. CrossRefGoogle ScholarPubMed
McAllister, TW, Saykin, AJ, Flashman, LAet al. Brain activation during working memory 1 month after mild traumatic brain injury – a functional MRI study. Neurology 1999;53:13001308. CrossRefGoogle ScholarPubMed