Abstract
The arcuate fasciculus (AF) has been implicated in its association with intelligence. Probabilistic tractography on diffusion tensor imaging (DTI) data provides isolation of white matter tracts between two distant cortical structures. In this study, we performed probabilistic tractography between Wernicke’s and Broca’s area in the left and right hemisphere, to examine the association of the arcuate fasciculus’s integrity with age and intelligence, using DTI data from 488 individuals whose age ranges between 6 to 85 years. The left, but not right, AF showed significant decline with age. Both left and right AF showed significant association with the full-scale IQ measured by the Wechsler Abbreviated Intelligence Scale. Both fasciculi showed significant association with the subscale verbal IQ, but only the left showed performance IQ. This study demonstrates that the bilateral arcuate fasciculi are associated with IQ; left vs. right asymmetry is present in its aging and function.
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03 August 2019
The author found a mistake in their published article. The sentence “The search region was limited within each side of the white matter.” should read as “The search regions was limited within each side of the white matter at and above <Emphasis Type="Italic">Z</Emphasis>=0.”
References
Allendorfer, J. B., Hernando, K. A., Hossain, S., Nenert, R., Holland, S. K., & Szaflarski, J. P. (2016). Arcuate fasciculus asymmetry has a hand in language function but not handedness. Human Brain Mapping, 37(9), 3297–3309. https://doi.org/10.1002/hbm.23241.
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004). Inhibition and the right inferior frontal cortex. Trends in Cognitive Sciences, 8(4), 170–177. https://doi.org/10.1016/j.tics.2004.02.010.
Behrens, T. E. J., H. Johansen Berg, S. Jbabdi, M. F. S. Rushworth, and M. W. Woolrich. “Probabilistic Diffusion Tractography with Multiple Fibre Orientations: What Can We Gain?” NeuroImage 34 (2007):144–55.
Bennett, I. J., & Madden, D. J. (2014). Disconnected aging: Cerebral white matter integrity and age-related differences in cognition. Neuroscience, 276, 187–205. https://doi.org/10.1016/j.neuroscience.2013.11.026.
Binkofski, F., & Buccino, G. (2004). Motor functions of the Broca’s region. Brain & Language, 89, 362–369.
Brass, M., Derrfuss, J., Forstmann, B., & von Cramon, D. Y. (2005). The role of the inferior frontal junction area in cognitive control. Trends in Cognitive Sciences, 9(7), 314–316. https://doi.org/10.1016/j.tics.2005.05.001.
Caplan, D., Alpert, N., & Waters, G. (1998). Effects of syntactic structure and propositional number on patterns of regional cerebral blood flow. Journal of Cognitive Neuroscience, 10, 541–552.
de Groot, M., Ikram, M. A., Akoudad, S., Krestin, G. P., Hofman, A., van der Lugt, A., et al. (2015). Tract-specific white matter degeneration in aging: The Rotterdam study. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 11(3), 321–330. https://doi.org/10.1016/j.jalz.2014.06.011.
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31, 968–980.
Dux, P. E., Tombu, M. N., Harrison, S., Rogers, B. P., Tong, F., & Marois, R. (2009). Training improves multitasking performance by increasing the speed of information processing in human prefrontal cortex. Neuron, 63(1), 127–138. https://doi.org/10.1016/j.neuron.2009.06.005.
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2005). The neuroanatomy of general intelligence: Sex matters. NeuroImage, 25(1), 320–327. https://doi.org/10.1016/j.neuroimage.2004.11.019.
Horwitz, B., Amunts, K., Bhattacharyya, R., Patkin, D., Jeffries, K., Zilles, K., & Braun, A. R. (2003). Activation of Broca’s area during the production of spoken and signed language: A combined cytoarchitectonic mapping and PET analysis. Neuropsychologia, 41, 1868–1876.
Jung, R. E., & Haier, R. J. (2007). The Parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30(2), 135–154. https://doi.org/10.1017/S0140525X07001185.
Justus, T. (2004). The cerebellum and English grammatical morphology: Evidence from production, comprehension, and grammaticality judgments. Journal of Cognitive Neuroscience, 16, 1115–1130.
Kennedy, K. M., & Raz, N. (2009). Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia, 47(3), 916–927. https://doi.org/10.1016/j.neuropsychologia.2009.01.001.
Konrad, A., Vucurevic, G., Musso, F., & Winterer, G. (2012). VBM–DTI correlates of verbal intelligence: A potential link to Broca’s area. Journal of Cognitive Neuroscience, 24(4), 888–895. https://doi.org/10.1162/jocn_a_00187.
Lebel, C., & Beaulieu, C. (2009). Lateralization of the arcuate fasciculus from childhood to adulthood and its relation to cognitive abilities in children. Human Brain Mapping, 30(11), 3563–3573. https://doi.org/10.1002/hbm.20779.
López-Barroso, D., Catani, M., Ripollés, P., Dell’Acqua, F., Rodríguez-Fornells, A., & de Diego-Balaguer, R. (2013). Word learning is mediated by the left arcuate fasciculus. Proceedings of the National Academy of Sciences, 110(32), 13168–13173. https://doi.org/10.1073/pnas.1301696110.
Nooner, K., Colcombe, S., Tobe, R., Mennes, M., Benedict, M., Moreno, A., et al. (2012). The NKI-Rockland sample: A model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience, 6, 152. https://doi.org/10.3389/fnins.2012.00152.
Paulesu, E., Perani, D., Blasi, V., Silani, G., Borghese, N. A., De Giovanni, U., et al. (2003). A functional-anatomical model for Lipreading. Journal of Neurophysiology, 90, 2005–2013.
Peters, B. D., Szeszko, P. R., Radua, J., Ikuta, T., Gruner, P., DeRosse, P., et al. (2012). White matter development in adolescence: Diffusion tensor imaging and meta-analytic results. Schizophrenia Bulletin, 38, 1308–1317. https://doi.org/10.1093/schbul/sbs054.
Peters, B. D., Ikuta, T., DeRosse, P., John, M., Burdick, K. E., Gruner, P., et al. (2014). Age-related differences in white matter tract microstructure are associated with cognitive performance from childhood to adulthood. Biological Psychiatry, 75(3), 248–256. https://doi.org/10.1016/j.biopsych.2013.05.020.
Petersen, S. E., Fox, P. T., Posner, M. I., Mintun, M., et al. (1988). Positron emission tomographic studies of the cortical anatomy of single-word processing. Nature, 331, 585–589.
Rilling, J. K., Glasser, M. F., Preuss, T. M., Ma, X., Zhao, T., Hu, X., & Behrens, T. E. J. (2008). The evolution of the arcuate fasciculus revealed with comparative DTI. Nature Neuroscience, 11, 426.
Rota, G., Sitaram, R., Veit, R., Erb, M., Weiskopf, N., Dogil, G., & Birbaumer, N. (2009). Self-regulation of regional cortical activity using real-time fMRI: The right inferior frontal gyrus and linguistic processing. Human Brain Mapping, 30(5), 1605–1614. https://doi.org/10.1002/hbm.20621.
Schmithorst, V. J., Wilke, M., Dardzinski, B. J., & Holland, S. K. (2005). Cognitive functions correlate with white matter architecture in a normal pediatric population: A diffusion tensor MRI study. Human Brain Mapping, 26(2), 139–147. https://doi.org/10.1002/hbm.20149.
Smith, E. E., & Jonides, J. (1999). Storage and executive processes in the frontal lobes. Science, 283, 1657–1661.
Sreedharan, R. M., Menon, A. C., James, J. S., Kesavadas, C., & Thomas, S. V. (2015). Arcuate fasciculus laterality by diffusion tensor imaging correlates with language laterality by functional MRI in preadolescent children. Neuroradiology, 57(3), 291–297. https://doi.org/10.1007/s00234-014-1469-1.
Thiebaut de Schotten, M., Cohen, L., Amemiya, E., Braga, L. W., & Dehaene, S. (2014). Learning to read improves the structure of the arcuate fasciculus. Cerebral Cortex, 24(4), 989–995. https://doi.org/10.1093/cercor/bhs383.
Turken, U., Whitfield-Gabrieli, S., Bammer, R., Baldo, J. V., Dronkers, N. F., & Gabrieli, J. D. E. (2008). Cognitive processing speed and the structure of white matter pathways: Convergent evidence from normal variation and lesion studies. NeuroImage, 42(2), 1032–1044. https://doi.org/10.1016/j.neuroimage.2008.03.057.
Yeatman, J. D., Dougherty, R. F., Rykhlevskaia, E., Sherbondy, A. J., Deutsch, G. K., Wandell, B. A., & Ben-Shachar, M. (2011). Anatomical properties of the arcuate fasciculus predict phonological and Reading skills in children. Journal of Cognitive Neuroscience, 23(11), 3304–3317. https://doi.org/10.1162/jocn_a_00061.
Zanto, T. P., Rubens, M. T., Thangavel, A., & Gazzaley, A. (2011). Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory. Nature Neuroscience, 14(5), 656–661. https://doi.org/10.1038/nn.2773.
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Image preprocessing was performed using the supercomputer cluster at the Mississippi Center for Supercomputing Research partly funded by the National Science Foundation (EPS-0903787).
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The original version of this article was revised: The sentence “The search region was limited within each side of the white matter.” should read as “The search regions was limited within each side of the white matter at and above Z=0."
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Ikuta, T., Gollnick, H.M. & Rutledge, A.N. Age associated decline in the arcuate fasciculus and IQ. Brain Imaging and Behavior 14, 362–367 (2020). https://doi.org/10.1007/s11682-019-00154-z
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DOI: https://doi.org/10.1007/s11682-019-00154-z