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Chapter 12 - White matter and cognition: research perspectives

Published online by Cambridge University Press:  05 May 2016

Christopher M. Filley
Affiliation:
University of Colorado School of Medicine
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White Matter Dementia , pp. 153 - 161
Publisher: Cambridge University Press
Print publication year: 2016

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References

Ajilore, O, Zhan, L, Gadelkarim, J, et al. Constructing the resting state structural connectome. Front Neuroinform 2013; 7: 30.CrossRefGoogle ScholarPubMed
Arfanakis, K, Fleischman, DA, Grisot, G, et al. Systemic inflammation in non-demented elderly human subjects: brain microstructure and cognition. PLoS One 2013; 8: e73107.CrossRefGoogle ScholarPubMed
Baltan, S, Carmichael, ST, Matute, C, Xi, G, Zhang, JH, eds. White matter injury in stroke and CNS disease. New York: Springer, 2014.CrossRefGoogle Scholar
Bartolomeo, P, Thiebaut de Schotten, M, Chica, AB. Brain networks of visuospatial attention and their disruption in visual neglect. Front Hum Neurosci 2012; 6: 110.CrossRefGoogle ScholarPubMed
Bettcher, BM, Kramer, JH. Longitudinal inflammation, cognitive decline, and Alzheimer’s disease: a mini-review. Clin Pharmacol Ther 2014; 96: 464469.CrossRefGoogle ScholarPubMed
Bettcher, BM, Watson, CL, Walsh, CM, et al. Interleukin-6, age, and corpus callosum integrity. PLoS One 2014; 9: e106521.CrossRefGoogle ScholarPubMed
Bettcher, BM, Yaffe, K, Boudreau, RM, et al. Declines in inflammation predict greater white matter microstructure in older adults. Neurobiol Aging 2015; 36: 948954.CrossRefGoogle ScholarPubMed
Bonilha, L, Nesland, T, Rorden, C, et al. Mapping remote subcortical ramifications of injury after ischemic strokes. Behav Neurol 2014; 2014: 215380.CrossRefGoogle ScholarPubMed
Broca, P. Remarques sur la siège de la faculté du langage articule, suives d’une observation d’aphémie. Bulletin Societé Anatomique 1861; 36: 333337, 398407.Google Scholar
Butt, AM, Fern, RF, Matute, C. Neurotransmitter signaling in white matter. Glia 2014; 62: 17621779.CrossRefGoogle ScholarPubMed
Carrera, E, Tononi, G. Diaschisis: past, present, future. Brain 2014; 137: 24082422.CrossRefGoogle ScholarPubMed
Catani, M. Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Curr Opin Neurol 2006; 19: 599606.CrossRefGoogle ScholarPubMed
Catani, M, Dell’acqua, F, Bizzi, A, et al. Beyond cortical localization in clinico-anatomical correlation. Cortex 2012a; 48: 12621287.CrossRefGoogle ScholarPubMed
Catani, M, Dell’acqua, F, Vergani, F, et al. Short frontal lobe connections of the human brain. Cortex 2012b; 48: 273291.CrossRefGoogle ScholarPubMed
Catani, M, Mesulam, M-M, Jakobsen, E, et al. A novel frontal pathway underlies verbal fluency in primary progressive aphasia. Brain 2013a; 136: 26192628.CrossRefGoogle ScholarPubMed
Catani, M, Dell’acqua, F, Thiebaut de Schotten, M. A revised limbic system model for memory, emotion and behaviour. Neurosci Biobehav Rev 2013b; 37: 17241737.CrossRefGoogle ScholarPubMed
Damoiseaux, JS, Greicius, MD. Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct Funct 2009; 213: 525533.CrossRefGoogle Scholar
De Martino, F, Moerel, M, Xu, J, et al. High-resolution mapping of myeloarchitecture in vivo: localization of auditory areas in the human brain. Cereb Cortex 2014 Jul 3. [Epub ahead of print]
DiMartino, A, Fair, DA, Kelly, C, et al. Unraveling the miswired connectome: a developmental perspective. Neuron 2014; 83: 13351353.CrossRefGoogle Scholar
Feeney, DM, Baron, J-C. Diaschisis. Stroke 1986; 17: 817830.CrossRefGoogle ScholarPubMed
Fields, RD. Neuroscience: change in the brain’s white matter. Science 2010; 330: 768769.CrossRefGoogle ScholarPubMed
Filippi, M, Charil, A, Rovaris, M, et al. Insights from magnetic resonance imaging. Handb Clin Neurol 2014; 122: 115149.CrossRefGoogle ScholarPubMed
Filley, CM. The behavioural neurology of white matter. 2nd ed. New York: Oxford University Press, 2012.CrossRefGoogle Scholar
Freedman, M, Alexander, MP, Naeser, MA. Anatomic basis of transcortical motor aphasia. Neurology 1984; 34: 409417.CrossRefGoogle ScholarPubMed
Geschwind, N. Disconnexion syndromes in animals and man. Brain 1965; 88: 237294, 585644.CrossRefGoogle ScholarPubMed
Gianaros, PJ, Marsland, AL, Sheu, LK, et al. Inflammatory pathways link socioeconomic inequalities to white matter architecture. Cereb Cortex 2013; 23: 20582071.CrossRefGoogle ScholarPubMed
Glasser, MF, Goyal, MS, Preuss, TM, et al. Trends and properties of human cerebral cortex: correlations with cortical myelin content. Neuroimage 2014; 93 Pt2: 165175.CrossRefGoogle ScholarPubMed
Gold, BT, Powell, DK, Xuan, L, et al. Age-related slowing of task switching is associated with decreased integrity of frontoparietal white matter. Neurobiol Aging 2010; 31: 512522.CrossRefGoogle ScholarPubMed
Gorelick, PB. Role of inflammation in cognitive impairment: results of observational epidemiological studies and clinical trials. Ann N Y Acad Sci 2010; 1207: 155162.CrossRefGoogle ScholarPubMed
Gravel, C, Sasseville, R, Hawkes, R. Maturation of the corpus callosum of the rat: II. Influence of thyroid hormones on the number and maturation of axons. J Comp Neurol 1990; 291: 147161.CrossRefGoogle ScholarPubMed
Jang, SH, Kwon, HG. Perspectives on the neural connectivity of the fornix in the human brain. Neural Regen Res 2014; 9: 14341436.Google ScholarPubMed
Kim, HJ, Moon, WJ, Han, SH. Differential cholinergic pathway involvement in Alzheimer’s disease and subcortical ischemic vascular dementia. J Alzheimers Dis 2013; 35: 129136.Google ScholarPubMed
Kochunov, P, Glahn, DC, Lancaster, J, et al. Fractional anisotropy of cerebral white matter and thickness of cortical gray matter across the lifespan. Neuroimage 2011; 58: 4149.CrossRefGoogle ScholarPubMed
Lee, CK, Weindruch, R, Prolla, TA. Gene-expression profile of the ageing brain in mice. Nat Genet 2000; 25: 294297.Google ScholarPubMed
Mesulam, M-M. Large-scale neurocognitive networks and distributed processing for attention, memory, and language. Ann Neurol 1990; 28: 597613.CrossRefGoogle Scholar
Mesulam, M. The evolving landscape of human cortical connectivity: facts and inferences. Neuroimage 2012; 62: 21822189.CrossRefGoogle ScholarPubMed
Mesulam, M, Siddique, T, Cohen, B. Cholinergic denervation in a pure multi-infarct state: observations on CADASIL. Neurology 2003; 60: 11831185.CrossRefGoogle Scholar
Nieuwenhuys, R. The myeloarchitectonic studies on the human cerebral cortex of the Vogt-Vogt school, and their significance for the interpretation of functional neuroimaging data. Brain Struct Funct 2013; 218: 303352.CrossRefGoogle Scholar
Ownby, RL. Neuroinflammation and cognitive aging. Curr Psychiatry Rep 2010; 12: 3945.CrossRefGoogle ScholarPubMed
Ozdogmus, O, Cavdar, S, Ersoy, Y, et al. A preliminary study, using electron and light-microscopic methods, of axon numbers in the fornix in autopsies of patients with temporal lobe epilepsy. Anat Sci Int 2009; 84: 26.CrossRefGoogle ScholarPubMed
Parks, EL, Madden, DJ. Brain connectivity and visual attention. Brain Connect 2013; 3: 317338.CrossRefGoogle ScholarPubMed
Parvizi, J, Damasio, A. Consciousness and the brainstem. Cognition 2001; 79: 135160.CrossRefGoogle ScholarPubMed
Raichle, ME, MacLeod, AM, Snyder, AZ, et al. A default mode of brain function. Proc Natl Acad Sci 2001: 98: 676682.CrossRefGoogle ScholarPubMed
Reeves, TM, Smith, TL, Williamson, JC, Phillips, LL. Unmyelinated axons show selective rostrocaudal pathology in the corpus callosum after traumatic brain injury. J Neuropathol Exp Neurol 2012; 71: 198210.CrossRefGoogle ScholarPubMed
Román, GC. Cholinergic dysfunction in vascular dementia. Curr Psychiatry Rep 2005; 7: 1826.CrossRefGoogle ScholarPubMed
Sankowski, R, Mader, S, Valdés-Ferrer, SI. Systemic inflammation and the brain: novel roles of genetic, molecular, and environmental cues as drivers of neurodegeneration. Front Cell Neurosci 2015; 9: 28.CrossRefGoogle ScholarPubMed
Schmahmann, JD. An emerging concept: the cerebellar contribution to higher function. Arch Neurol 1991; 48: 11781187.CrossRefGoogle ScholarPubMed
Schmahmann, JD. Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci 2004; 16: 367378.CrossRefGoogle ScholarPubMed
Schmahmann, JD. The role of the cerebellum in cognition and emotion: personal reflections since 1982 on the dysmetria of thought hypothesis, and its historical evolution from theory to therapy. Neuropsychol Rev 2010; 20: 236260.CrossRefGoogle Scholar
Schmahmann, JD, Sherman, JC. The cerebellar cognitive affective syndrome. Brain 1998; 121: 561579.CrossRefGoogle ScholarPubMed
Schmahmann, JD, Pandya, DN. Fiber pathways of the brain. Oxford: Oxford University Press, 2006.CrossRefGoogle Scholar
Seeley, WW, Menon, V, Schatzberg, AF, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 2007; 27: 23492356.CrossRefGoogle ScholarPubMed
Selden, NR, Gitelman, DR, Salamon-Murayama, N, et al. Trajectories of cholinergic pathways within the cerebral hemispheres of the human brain. Brain 1998; 121: 22492257.Google Scholar
Solari, SV, Stoner, R. Cognitive consilience: primate non-primary neuroanatomical circuits underlying cognition. Front Neuroanat 2011; 5: 65.Google Scholar
Sporns, O. The human connectome: a complex network. Ann N Y Acad Sci 2011; 1224: 109125.CrossRefGoogle ScholarPubMed
Stenset, V, Grambaite, R, Reinvang, I, et al. Diaschisis after thalamic stroke: a comparison of metabolic and structural changes in a patient with amnesic syndrome. Acta Neurol Scand Suppl 2007; 187: 6871.CrossRefGoogle Scholar
Stoodley, CJ, Schmahmann, JD. Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 2009; 44: 489501.CrossRefGoogle ScholarPubMed
Stoodley, CJ, Valera, EM, Schmahmann, JD. Functional topography of the cerebellum for motor and cognitive tasks: an fMRI study. Neuroimage 2012; 59: 15601570.CrossRefGoogle Scholar
Swartz, RH, Sahlas, DJ, Black, SE. Strategic involvement of cholinergic pathways and executive dysfunction: does location of white matter signal hyperintensities matter? J Stroke Cerebrovasc Dis 2003; 12: 2936.CrossRefGoogle ScholarPubMed
Tavor, I, Yablonski, M, Mezer, A, et al. Separate parts of occipito-temporal white matter fibers are associated with recognition of faces and places. Neuroimage 2014; 86: 123130.CrossRefGoogle ScholarPubMed
Teipel, SJ, Meindl, T, Grinberg, L, et al. Novel MRI techniques in the assessment of dementia. Eur J Nucl Med Mol Imaging 2008; 35 Suppl 1: S58S69.CrossRefGoogle ScholarPubMed
Toga, AW, Clark, KA, Thompson, PM, et al. Mapping the human connectome. Neurosurgery 2012; 71: 15.CrossRefGoogle ScholarPubMed
Van Essen, DC, Smith, SM, Barch, DM, et al. The WU-Minn Human Connectome Project: an overview. Neuroimage 2013; 80: 6279.CrossRefGoogle Scholar
von Monakow, C. Diaschisis. (1914 article translated by Harris, G). In: Pribram, KH, ed. Brain and behavior: I. Mood states and mind. Baltimore: Penguin Press, 1969: 2736.Google Scholar
Wernicke, K. Der aphasiche symptomencomplex. Breslau: Cohn and Weigert, 1874.Google Scholar
Yaffe, K. Metabolic syndrome and cognitive disorders: is the sum greater than its parts? Alzheimer Dis Assoc Disord 2007; 21: 167171.CrossRefGoogle ScholarPubMed
Young, RM. Mind, brain, and adaptation in the nineteeth century. London: Oxford University Press, 1970.Google Scholar
Zhang, K, Sejnowski, TJ. A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci 2000; 97: 56215626.CrossRefGoogle ScholarPubMed

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