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Linked References

1. K. Doya, “Complementary roles of basal ganglia and cerebellum in learning and motor control,” Current Opinion in Neurobiology, vol. 10, no. 6, pp. 732–739, 2000. View at Publisher · View at Google Scholar · View at Scopus
2. M. Kawato, “Internal models for motor control and trajectory planning,” Current Opinion in Neurobiology, vol. 9, no. 6, pp. 718–727, 1999. View at Publisher · View at Google Scholar · View at Scopus
3. V. B. Brooks, The Neural Basis of Motor Control, Oxford University Press, Cambridge, Mass, USA, 1986.
4. M. Manto, J. M. Bower, A. B. Conforto et al., “Consensus paper: roles of the cerebellum in motor control—the diversity of ideas on cerebellar involvement in movement,” The Cerebellum, vol. 11, no. 2, pp. 457–487, 2012. View at Publisher · View at Google Scholar · View at Scopus
5. J. D. Schmahmann and J. C. Sherman, “The cerebellar cognitive affective syndrome,” Brain, vol. 121, no. 4, pp. 561–579, 1998. View at Publisher · View at Google Scholar · View at Scopus
6. J. D. Schmahmann, “Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome,” The Journal of Neuropsychiatry and Clinical Neurosciences, vol. 16, no. 3, pp. 367–378, 2004. View at Publisher · View at Google Scholar · View at Scopus
7. A. Diamond, “Close interrelation of motor development and cognitive development and of the cerebellum and prefrontal cortex,” Child Development, vol. 71, no. 1, pp. 44–56, 2000. View at Publisher · View at Google Scholar · View at Scopus
8. R. B. Ivry and S. W. Keele, “Timing functions of the cerebellum,” Journal of Cognitive Neuroscience, vol. 1, no. 2, pp. 136–152, 1989. View at Publisher · View at Google Scholar · View at Scopus
9. R. B. Ivry, R. M. Spencer, H. N. Zelaznik, and J. Diedrichsen, “The cerebellum and event timing,” Annals of the New York Academy of Sciences, vol. 978, no. 1, pp. 302–317, 2002. View at Publisher · View at Google Scholar · View at Scopus
10. C. D. Tesche and J. J. T. Karhu, “Anticipatory cerebellar responses during somatosensory omission in man,” Human Brain Mapping, vol. 9, no. 3, pp. 119–142, 2000. View at Publisher · View at Google Scholar · View at Scopus
11. B. K. Hölzel, J. Carmody, M. Vangel et al., “Mindfulness practice leads to increases in regional brain gray matter density,” Psychiatry Research: Neuroimaging, vol. 191, no. 1, pp. 36–43, 2011. View at Publisher · View at Google Scholar · View at Scopus
12. R. L. Buckner, “The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging,” Neuron, vol. 80, no. 3, pp. 807–815, 2013. View at Publisher · View at Google Scholar · View at Scopus
13. S. P. Swinnen, “Intermanual coordination: from behavioural principles to neural-network interactions,” Nature Reviews. Neuroscience, vol. 3, no. 5, pp. 348–359, 2002. View at Publisher · View at Google Scholar · View at Scopus
14. C. I. de Zeeuw, F. E. Hoebeek, L. W. J. Bosman, M. Schonewille, L. Witter, and S. K. Koekkoek, “Spatiotemporal firing patterns in the cerebellum,” Nature Reviews Neuroscience, vol. 12, no. 6, pp. 327–344, 2011. View at Publisher · View at Google Scholar · View at Scopus
15. F. G. Andres, T. Mima, A. E. Schulman, J. Dichgans, M. Hallett, and C. Gerloff, “Functional coupling of human cortical sensorimotor areas during bimanual skill acquisition,” Brain, vol. 122, no. 5, pp. 855–870, 1999. View at Publisher · View at Google Scholar · View at Scopus
16. T. C. Watson, N. Becker, R. Apps, and M. W. Jones, “Back to front: cerebellar connections and interactions with the prefrontal cortex,” Frontiers in Systems Neuroscience, vol. 8, no. 1, article 4, 11 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
17. R. A. Chávez-Eakle, A. Graff-Guerrero, J.-C. García-Reyna, V. Vaugier, and C. Cruz-Fuentes, “Cerebral blood flow associated with creative performance: a comparative study,” NeuroImage, vol. 38, no. 3, pp. 519–528, 2007. View at Publisher · View at Google Scholar · View at Scopus
18. L. R. Vandervert, “Cognitive functions of the cerebellum explain how Ericsson's deliberate practice produces giftedness,” High Ability Studies, vol. 18, no. 1, pp. 89–92, 2007. View at Publisher · View at Google Scholar · View at Scopus
19. L. R. Vandervert, P. H. Schimpf, and H. Liu, “How working memory and the cerebellum collaborate to produce creativity and innovation,” Creativity Research Journal, vol. 19, no. 1, pp. 1–18, 2007. View at Publisher · View at Google Scholar · View at Scopus
20. H. Wilms, J. Sievers, and G. Deuschl, “Animal models of tremor,” Movement Disorders, vol. 14, no. 4, pp. 557–571, 1999. View at Publisher · View at Google Scholar · View at Scopus
21. F. Foti, D. Laricchiuta, D. Cutuli et al., “Exposure to an enriched environment accelerates recovery from cerebellar lesion,” The Cerebellum, vol. 10, no. 1, pp. 104–119, 2011. View at Publisher · View at Google Scholar · View at Scopus
22. D. P. Holschneider, J. Yang, Y. Guo, and J.-M. I. Maarek, “Reorganization of functional brain maps after exercise training: importance of cerebellar-thalamic-cortical pathway,” Brain Research, vol. 1184, no. 1, pp. 96–107, 2007. View at Publisher · View at Google Scholar · View at Scopus
23. W. Grodd, E. Hülsmann, M. Lotze, D. Wildgruber, and M. Erb, “Sensorimotor mapping of the human cerebellum: fMRI evidence of somatotopic organization,” Human Brain Mapping, vol. 13, no. 2, pp. 55–73, 2001. View at Publisher · View at Google Scholar · View at Scopus
24. J. E. Desmond, J. D. E. Gabrieli, A. D. Wagner, B. L. Ginier, and G. H. Glover, “Lobular patterns of cerebellar activation in verbal working-memory and finger-tapping tasks as revealed by functional MRI,” The Journal of Neuroscience, vol. 17, no. 24, pp. 9675–9685, 1997. View at Google Scholar · View at Scopus
25. M. P. Kirschen, S. H. A. Chen, P. Schraedley-Desmond, and J. E. Desmond, “Load- and practice-dependent increases in cerebro-cerebellar activation in verbal working memory: an fMRI study,” NeuroImage, vol. 24, no. 2, pp. 462–472, 2005. View at Publisher · View at Google Scholar · View at Scopus
26. S. H. A. Chen and J. E. Desmond, “Cerebrocerebellar networks during articulatory rehearsal and verbal working memory tasks,” NeuroImage, vol. 24, no. 2, pp. 332–338, 2005. View at Publisher · View at Google Scholar · View at Scopus
27. H. Park, E. Kang, H. Kang et al., “Cross-frequency power correlations reveal the right superior temporal gyrus as a hub region during working memory maintenance,” Brain Connectivity, vol. 1, no. 6, pp. 460–472, 2011. View at Publisher · View at Google Scholar
28. J. Wikgren, M. S. Nokia, and M. Penttonen, “Hippocampo-cerebellar theta band phase synchrony in rabbits,” Neuroscience, vol. 165, no. 4, pp. 1538–1545, 2010. View at Publisher · View at Google Scholar · View at Scopus
29. M. S. Nokia, H. M. Sisti, M. R. Choksi, and T. J. Shors, “Learning to learn: theta oscillations predict new learning, which enhances related learning and neurogenesis,” PLoS ONE, vol. 7, no. 2, Article ID e31375, 2012. View at Publisher · View at Google Scholar · View at Scopus
30. G. P. Dugué, N. Brunel, V. Hakim et al., “Electrical coupling mediates tunable low-frequency oscillations and resonance in the cerebellar Golgi cell network,” Neuron, vol. 61, no. 1, pp. 126–139, 2009. View at Publisher · View at Google Scholar · View at Scopus
31. M. J. Hartmann and J. M. Bower, “Oscillatory activity in the cerebellar hemispheres of unrestrained rats,” Journal of Neurophysiology, vol. 80, no. 3, pp. 1598–1604, 1998. View at Google Scholar · View at Scopus
32. T. Martin, J. M. Houck, J. P. Bish et al., “MEG reveals different contributions of somatomotor cortex and cerebellum to simple reaction time after temporally structured cues,” Human Brain Mapping, vol. 27, no. 7, pp. 552–561, 2006. View at Publisher · View at Google Scholar · View at Scopus
33. C. Pernet, J. Andersson, E. Paulesu, and J. F. Demonet, “When all hypotheses are right: a multifocal account of dyslexia,” Human Brain Mapping, vol. 30, no. 7, pp. 2278–2292, 2009. View at Publisher · View at Google Scholar · View at Scopus
34. C. R. Pernet, J. B. Poline, J. F. Demonet, and G. A. Rousselet, “Brain classification reveals the right cerebellum as the best biomarker of dyslexia,” BMC Neuroscience, vol. 10, article 67, 2009. View at Publisher · View at Google Scholar · View at Scopus
35. R. B. Silberstein, F. Danieli, and P. L. Nunez, “Fronto-parietal evoked potential synchronization is increased during mental rotation,” NeuroReport, vol. 14, no. 1, pp. 67–71, 2003. View at Publisher · View at Google Scholar · View at Scopus
36. S. Palva and J. M. Palva, “New vistas for alpha-frequency band oscillations,” Trends in Neurosciences, vol. 30, no. 4, pp. 150–158, 2007. View at Publisher · View at Google Scholar · View at Scopus
37. J. M. Palva, S. Monto, S. Kulashekhar, and S. Palva, “Neuronal synchrony reveals working memory networks and predicts individual memory capacity,” Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 16, pp. 7580–7585, 2010. View at Publisher · View at Google Scholar · View at Scopus
38. J. Kujala, K. Pammer, P. Cornelissen, A. Roebroeck, E. Formisano, and R. Salmelin, “Phase coupling in a cerebro-cerebellar network at 8–13 Hz during reading,” Cerebral Cortex, vol. 17, no. 6, pp. 1476–1485, 2007. View at Publisher · View at Google Scholar · View at Scopus
39. A. Fink, B. Graif, and A. C. Neubauer, “Brain correlates underlying creative thinking: EEG alpha activity in professional vs. novice dancers,” NeuroImage, vol. 46, no. 3, pp. 854–862, 2009. View at Publisher · View at Google Scholar · View at Scopus
40. A. Dietrich, “Transient hypofrontality as a mechanism for the psychological effects of exercise,” Psychiatry Research, vol. 145, no. 1, pp. 79–83, 2006. View at Publisher · View at Google Scholar · View at Scopus
41. S. Cohen-Cory, A. H. Kidane, N. J. Shirkey, and S. Marshak, “Brain-derived neurotrophic factor and the development of structural neuronal connectivity,” Developmental Neurobiology, vol. 70, no. 5, pp. 271–288, 2010. View at Publisher · View at Google Scholar · View at Scopus
42. B. Lu, P. T. Pang, and N. H. Woo, “The yin and yang of neurotrophin action,” Nature Reviews Neuroscience, vol. 6, no. 8, pp. 603–614, 2005. View at Publisher · View at Google Scholar · View at Scopus
43. J. M. Conner, K. M. Franks, A. K. Titterness et al., “NGF is essential for hippocampal plasticity and learning,” The Journal of Neuroscience, vol. 29, no. 35, pp. 10883–10889, 2009. View at Publisher · View at Google Scholar · View at Scopus
44. R. J. Mandel, F. H. Gage, and L. J. Thal, “Spatial learning in rats: correlation with cortical choline acetyltransferase and improvement with NGF following NBM damage,” Experimental Neurology, vol. 104, no. 3, pp. 208–217, 1989. View at Publisher · View at Google Scholar · View at Scopus
45. F. Angelucci, P. De Bartolo, F. Gelfo et al., “Increased concentrations of nerve growth factor and brain-derived neurotrophic factor in the rat cerebellum after exposure to environmental enrichment,” The Cerebellum, vol. 8, no. 4, pp. 499–506, 2009. View at Publisher · View at Google Scholar · View at Scopus
46. B. Fritsch, J. Reis, K. Martinowich et al., “Direct current stimulation promotes BDNF-dependent synaptic plasticity: potential implications for motor learning,” Neuron, vol. 66, no. 2, pp. 198–204, 2010. View at Publisher · View at Google Scholar · View at Scopus
47. R. A. Y. A. Al-Shawi, A. Hafner, S. Chun et al., “ProNGF, sortilin, and age-related neurodegeneration,” Annals of the New York Academy of Sciences, vol. 1119, no. 1, pp. 208–215, 2007. View at Publisher · View at Google Scholar · View at Scopus
48. C. W. Cotman and N. C. Berchtold, “Exercise: a behavioral intervention to enhance brain health and plasticity,” Trends in Neurosciences, vol. 25, no. 6, pp. 295–301, 2002. View at Publisher · View at Google Scholar · View at Scopus
49. J. M. Gatt, S. A. Kuan, C. Dobson-Stone et al., “Association between BDNF Val66Met polymorphism and trait depression is mediated via resting EEG alpha band activity,” Biological Psychology, vol. 79, no. 2, pp. 275–284, 2008. View at Publisher · View at Google Scholar · View at Scopus
50. M. E. Morrison and C. A. Mason, “Granule neuron regulation of Purkinje cell development: striking a balance between neurotrophin and glutamate signaling,” The Journal of Neuroscience, vol. 18, no. 10, pp. 3563–3573, 1998. View at Google Scholar · View at Scopus
51. S. A. Neeper, F. Gómez-Pinilla, J. Choi, and C. W. Cotman, “Physical activity increases mRNA for brain-derived neurotrophic factor and nerve growth factor in rat brain,” Brain Research, vol. 726, no. 1-2, pp. 49–56, 1996. View at Publisher · View at Google Scholar · View at Scopus
52. J. Scholz, M. C. Klein, T. E. J. Behrens, and H. Johansen-Berg, “Training induces changes in white-matter architecture,” Nature Neuroscience, vol. 12, no. 11, pp. 1370–1371, 2009. View at Publisher · View at Google Scholar · View at Scopus
53. P. Ernfors, K. F. Lee, and R. Jaenisch, “Mice lacking brain-derived neurotrophic factor develop with sensory deficits,” Nature, vol. 368, no. 6467, pp. 147–150, 1994. View at Publisher · View at Google Scholar · View at Scopus
54. P. M. Schwartz, P. R. Borghesani, R. L. Levy, S. L. Pomeroy, and R. A. Segal, “Abnormal cerebellar development and foliation in BDNF^−/− mice reveals a role for neurotrophins in CNS patterning,” Neuron, vol. 19, no. 2, pp. 269–281, 1997. View at Publisher · View at Google Scholar · View at Scopus
55. M. W. Voss, R. S. Prakash, K. I. Erickson et al., “Plasticity of brain networks in a randomized intervention trial of exercise training in older adults,” Frontiers in Aging Neuroscience, vol. 2, no. 1, Article ID Article 32, p. 17, 2010. View at Publisher · View at Google Scholar · View at Scopus
56. M. W. Voss, K. I. Erickson, R. S. Prakash et al., “Neurobiological markers of exercise-related brain plasticity in older adults,” Brain, Behavior, and Immunity, vol. 28, pp. 90–99, 2013. View at Publisher · View at Google Scholar · View at Scopus
57. J. B. Crabbe and R. K. Dishman, “Brain electrocortical activity during and after exercise: a quantitative synthesis,” Psychophysiology, vol. 41, no. 4, pp. 563–574, 2004. View at Publisher · View at Google Scholar · View at Scopus
58. M. Bose, P. Muñoz-Llancao, S. Roychowdhury et al., “Effect of the environment on the dendritic morphology of the rat auditory cortex,” Synapse, vol. 64, no. 2, pp. 97–110, 2010. View at Publisher · View at Google Scholar · View at Scopus
59. L. Macgillivray, K. B. Reynolds, P. I. Rosebush, and M. F. Mazurek, “The comparative effects of environmental enrichment with exercise and serotonin transporter blockade on serotonergic neurons in the dorsal raphe nucleus,” Synapse, vol. 66, no. 5, pp. 465–470, 2012. View at Publisher · View at Google Scholar · View at Scopus
60. J.-L. Yang, Y.-T. Lin, P.-C. Chuang, V. A. Bohr, and M. P. Mattson, “BDNF and exercise enhance neuronal DNA repair by stimulating CREB-mediated production of apurinic/apyrimidinic endonuclease 1,” NeuroMolecular Medicine, vol. 16, no. 1, pp. 161–174, 2014. View at Publisher · View at Google Scholar · View at Scopus
61. M. Carbon, M. Argyelan, C. Habeck et al., “Increased sensorimotor network activity in DYT1 dystonia: a functional imaging study,” Brain, vol. 133, no. 3, pp. 690–700, 2010. View at Publisher · View at Google Scholar · View at Scopus
62. M. Carbon, P. B. Kingsley, C. Tang, S. Bressman, and D. Eidelberg, “Microstructural white matter changes in primary torsion dystonia,” Movement Disorders, vol. 23, no. 2, pp. 234–239, 2008. View at Publisher · View at Google Scholar · View at Scopus
63. D. J. L. G. Schutter and J. van Honk, “An electrophysiological link between the cerebellum, cognition and emotion: frontal theta EEG activity to single-pulse cerebellar TMS,” NeuroImage, vol. 33, no. 4, pp. 1227–1231, 2006. View at Publisher · View at Google Scholar · View at Scopus
64. T. D. Ben-Soussan, A. Berkovich-Ohana, J. Glicksohn, and A. Goldstein, “A suspended act: increased reflectivity and gender-dependent electrophysiological change following Quadrato Motor Training,” Frontiers in Psychology, vol. 5, article 55, 2014. View at Publisher · View at Google Scholar · View at Scopus
65. T. D. Ben-Soussan, J. Glicksohn, A. Goldstein, A. Berkovich-Ohana, and O. Donchin, “Into the square and out of the box: the effects of Quadrato Motor Training on creativity and alpha coherence,” PLoS ONE, vol. 8, no. 1, Article ID e55023, 2013. View at Publisher · View at Google Scholar · View at Scopus
66. T. D. Ben-Soussan, K. Avirame, J. Glicksohn, A. Goldstein, Y. Harpaz, and M. Ben-Shachar, “Changes in cerebellar activity and inter-hemispheric coherence accompany improved reading performance following Quadrato Motor Training,” Frontiers in Systems Neuroscience, vol. 8, article 81, 2014. View at Publisher · View at Google Scholar · View at Scopus
67. T. D. Ben-Soussan, C. Piervincenzi, S. Venditti, L. Verdone, M. Caserta, and F. Carducci, “Increased cerebellar volume and BDNF level following quadrato motor training,” Synapse, vol. 69, no. 1, pp. 1–6, 2015. View at Publisher · View at Google Scholar
68. S. Venditti, L. Verdone, C. Pesce, T. Tocci, M. Caserta, and T. D. Ben-Soussan, “Creating well-being: increased creativity and proNGF decrease following quadrato motor training,” BioMed Research International. In press.
69. T. D. Ben-Soussan, A. Berkovich-Ohana, C. Piervincenzi, J. Glicksohn, and F. Carducci, “Interoception-related neuroplasticity and increased creativity following quadrato motor training,” Under review.
70. T. D. Ben-Soussan and P. Paoletti, “Plasticity in the Square—from a philosophical model to neurocognitive applications,” in Proceedings of the World Congress on the Square of Oppositions, J.-Y. Béziau and K. Gan-Krzywoszyńska, Eds., pp. 21–22, Pontifical Lateran University, Vatican City, 2014.
71. H. Yamaguchi, S. Hirai, M. Morimatsu, M. Shoji, and Y. Nakazato, “Diffuse type of senile plaques in the cerebellum of Alzheimer-type dementia demonstrated by β protein immunostain,” Acta Neuropathologica, vol. 77, no. 3, pp. 314–319, 1989. View at Publisher · View at Google Scholar · View at Scopus
72. N. Levit-Binnun, M. Davidovitch, and Y. Golland, “Sensory and motor secondary symptoms as indicators of brain vulnerability,” Journal of Neurodevelopmental Disorders, vol. 5, article 26, 2013. View at Publisher · View at Google Scholar
73. N. Levit-Binnun and Y. Golland, “Finding behavioral and network indicators of brain vulnerability,” Frontiers in Human Neuroscience, vol. 6, no. 1, article 10, 9 pages, 2012. View at Publisher · View at Google Scholar
74. E. Courchesne, J. Townsend, N. A. Akshoomoff et al., “Impairment in shifting attention in autistic and cerebellar patients,” Behavioral Neuroscience, vol. 108, no. 5, pp. 848–865, 1994. View at Publisher · View at Google Scholar · View at Scopus
75. U. Goswami, “A temporal sampling framework for developmental dyslexia,” Trends in Cognitive Sciences, vol. 15, no. 1, pp. 3–10, 2011. View at Publisher · View at Google Scholar · View at Scopus
76. H. T. Hunt, “‘Dark Nights of the Soul’: phenomenology and neurocognition of spiritual suffering in mysticism and psychosis,” Review of General Psychology, vol. 11, no. 3, pp. 209–234, 2007. View at Publisher · View at Google Scholar · View at Scopus
77. M. M. Pangelinan, F. A. Kagerer, B. Momen, B. D. Hatfield, and J. E. Clark, “Electrocortical dynamics reflect age-related differences in movement kinematics among children and adults,” Cerebral Cortex, vol. 21, no. 4, pp. 737–747, 2011. View at Publisher · View at Google Scholar · View at Scopus
78. J. Glicksohn and Z. Kinberg, “Performance on embedded figures tests: profiling individual differences,” Journal of Individual Differences, vol. 30, no. 3, pp. 152–162, 2009. View at Publisher · View at Google Scholar · View at Scopus
79. A. C. Neubauer and A. Fink, “Fluid intelligence and neural efficiency: effects of task complexity and sex,” Personality and Individual Differences, vol. 35, no. 4, pp. 811–827, 2003. View at Publisher · View at Google Scholar · View at Scopus
80. M. Arns, S. Peters, R. Breteler, and L. Verhoeven, “Different brain activation patterns in dyslexic children: evidence from EEG power and coherence patterns for the double-deficit theory of dyslexia,” Journal of Integrative Neuroscience, vol. 6, no. 1, pp. 175–190, 2007. View at Publisher · View at Google Scholar · View at Scopus
81. F. Travis and A. Arenander, “Cross-sectional and longitudinal study of effects of transcendental meditation practice on interhemispheric frontal asymmetry and frontal coherence,” International Journal of Neuroscience, vol. 116, no. 12, pp. 1519–1538, 2006. View at Publisher · View at Google Scholar · View at Scopus
82. R. Horan, “The relationship between creativity and intelligence: a combined yogic-scientific approach,” Creativity Research Journal, vol. 19, no. 2-3, pp. 179–202, 2007. View at Publisher · View at Google Scholar · View at Scopus
83. H. D. Critchley, S. Wiens, P. Rotshtein, A. Öhman, and R. J. Dolan, “Neural systems supporting interoceptive awareness,” Nature Neuroscience, vol. 7, no. 2, pp. 189–195, 2004. View at Publisher · View at Google Scholar · View at Scopus
84. J. M. Mercader, F. Fernández-Aranda, M. Gratacòs et al., “Correlation of BDNF blood levels with interoceptive awareness and maturity fears in anorexia and bulimia nervosa patients,” Journal of Neural Transmission, vol. 117, no. 4, pp. 505–512, 2010. View at Publisher · View at Google Scholar · View at Scopus
85. E. J. Dhurandhar, D. B. Allison, T. van Groen, and I. Kadish, “Hunger in the absence of caloric restriction improves cognition and attenuates Alzheimer's disease pathology in a mouse model,” PLoS ONE, vol. 8, no. 4, Article ID e60437, 2013. View at Publisher · View at Google Scholar · View at Scopus
86. C. Xu, Z. Wang, M. Fan et al., “Effects of BDNF val66met polymorphism on brain metabolism in Alzheimer's disease,” NeuroReport, vol. 21, no. 12, pp. 802–807, 2010. View at Publisher · View at Google Scholar · View at Scopus
87. S. Peng, J. Wuu, E. J. Mufson, and M. Fahnestock, “Increased proNGF levels in subjects with mild cognitive impairment and mild Alzheimer disease,” Journal of Neuropathology and Experimental Neurology, vol. 63, no. 6, pp. 641–649, 2004. View at Google Scholar · View at Scopus
88. M. Fahnestock, B. Michalski, B. Xu, and M. D. Coughlin, “The precursor pro-nerve growth factor is the predominant form of nerve growth factor in brain and is increased in Alzheimer's disease,” Molecular and Cellular Neuroscience, vol. 18, no. 2, pp. 210–220, 2001. View at Publisher · View at Google Scholar · View at Scopus
89. F. Angelucci, E. Ricci, L. Padua, A. Sabino, and P. A. Tonali, “Music exposure differentially alters the levels of brain-derived neurotrophic factor and nerve growth factor in the mouse hypothalamus,” Neuroscience Letters, vol. 429, no. 2-3, pp. 152–155, 2007. View at Publisher · View at Google Scholar · View at Scopus
90. C. Pesce and T. D. Ben-Soussan, “‘Cogito ergo sum’ or ‘ambulo ergo sum’? New perspectives in developmental exercise and cognition research,” in Exercise-Cognition Interaction: Neuroscience Perspectives, T. McMorris, Ed., Elsevier, New York, NY, USA, 2014. View at Google Scholar