BRAIN and NERVE－神経研究の進歩69巻5号

2017年05月発行

特集 Voxel-Based Morphometry—体積からわかること

VBMと認知機能

著者： 竹内光¹ 川島隆太¹²³

所属機関： ¹東北大学加齢医学研究所認知機能発達寄附研究部門 ²東北大学加齢医学研究所応用脳科学研究分野 ³東北大学加齢医学研究所ユビキタスセンサー研究分野

ページ範囲：P.547 - P.556

文献概要

VBM（voxel-based morphometry）は認知機能と脳の各領域の局所灰白質量・白質量の関連を調べるために使われてきた。本論ではそうした研究の方法論とその注意事項，結果，この分野の知見にまつわる問題点について紹介した。われわれの健常若年成人の大規模サンプルとロバストな統計方法を用いた知見において多くのケースで認知機能と局所容積は広く弱く相関していた。こうしたパターンはVBMで認知機能と関わる特異的な神経基盤を探し出す際の困難さを示していると考えられる。

参考文献

1)Baddeley A: Working memory: looking back and looking forward. Nat Rev Neurosci 4: 829-839, 2003

2)McDaniel MA: Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence 33: 337-346, 2005

3)Posthuma D, De Geus EJ, Baaré WF, Hulshoff Pol HE, Kahn RS, et al: The association between brain volume and intelligence is of genetic origin. Nat Neurosci 5: 83-84, 2002

4)Ashburner J, Friston KJ: Voxel-based morphometry--the methods. NeuroImage 11: 805-821, 2000

5)Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, et al: Creative females have larger white matter structures: evidence from a large sample study. Hum Brain Mapp 38: 414-430, 2017

6)Poline JB, Worsley KJ, Evans AC, Friston KJ: Combining spatial extent and peak intensity to test for activations in functional imaging. NeuroImage 5: 83-96, 1997

7)Hayasaka S, Phan KL, Liberzon I, Worsley KJ, Nichols TE: Nonstationary cluster-size inference with random field and permutation methods. NeuroImage 22: 676-687, 2004

8)Eklund A, Nichols TE, Knutsson H: Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates. Proc Natl Acad Sci U S A 113: 7900-7905, 2016

9)Silver M, Montana G, Nichols TE: False positives in neuroimaging genetics using voxel-based morphometry data. NeuroImage 54: 992-1000, 2012

10)Christian Gaser: Index of/tfce. Website of Structual Brain Mapping Group, Department of Neurology, Department of Psychiatry, University of Jena. http://dbm.neuro.uni-jena.de/tfce（2017年3月23日閲覧）

11)Jung RE, Haier RJ: The Parieto-Frontal Integration Theory (P-FIT) of intelligence: converging neuroimaging evidence. Behav Brain Sci 30: 135-154, 2007

12)Martínez K, Madsen SK, Joshi AA, Joshi SH, Román FJ, et al: Reproducibility of brain-cognition relationships using three cortical surface-based protocols: an exhaustive analysis based on cortical thickness. Hum Brain Mapp 36: 3227-3245, 2015

13)Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, et al: Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study.［submitted］

14)Vul E, Harris C, Winkielman P, Pashler H: Reply to comments on “puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition”. Perspect Psychol Sci 4: 319-324, 2009

15)Takeuchi H, Kawashima R: Structural studies of creativity measured by divergent thinking. Jung RE, Vartanian O (eds): The Cambridge Handbook of the Neuroscience of Creativity. Cambridge University Press, New York, in press

16)Takeuchi H, Taki Y, Sassa Y, Hashizume H, Sekiguchi A, et al: Regional gray matter volume is associated with empathizing and systemizing in young adults. PLOS ONE 9: e84782, 2014

17)Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, et al: Mapping cortical change across the human life span. Nat Neurosci 6: 309-315, 2003

18)Shaw P, Greenstein D, Lerch J, Clasen L, Lenroot R, et al: Intellectual ability and cortical development in children and adolescents. Nature 440: 676-679, 2006

19)Schnack HG, van Haren NE, Brouwer RM, Evans A, Durston S, et al: Changes in thickness and surface area of the human cortex and their relationship with intelligence. Cereb Cortex 25: 1608-1617, 2015

20)Zielinski BA, Gennatas ED, Zhou J, Seeley WW: Network-level structural covariance in the developing brain. Proc Natl Acad Sci U S A 107: 18191-18196, 2010

21)Alexander-Bloch A, Raznahan A, Bullmore E, Giedd J: The convergence of maturational change and structural covariance in human cortical networks. J Neurosci 33: 2889-2899, 2013

22)Dietrich A: Who's afraid of a cognitive neuroscience of creativity? Methods 42: 22-27, 2007

23)Preckel F, Wermer C, Spinath FM: The interrelationship between speeded and unspeeded divergent thinking and reasoning, and the role of mental speed. Intelligence 39: 378-388, 2011

24)Magistro D, Takeuchi H, Nejad KK, Taki Y, Sekiguchi A, et al: The relationship between processing speed and regional white matter volume in healthy young people. PLOS ONE 10: e0136386, 2015

25)Woody E, Claridge G: Psychoticism and thinking. Br J Soc Clin Psychol 16: 241-248, 1977

26)Fusar-Poli P, Borgwardt S, Crescini A, Deste G, Kempton MJ, et al: Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neurosci Biobehav Rev 35: 1175-1185, 2011

27)Hashimoto T, Takeuchi H, Taki Y, Sekiguchi A, Nouchi R, et al: Neuroanatomical correlates of the sense of control: gray and white matter volumes associated with an internal locus of control. NeuroImage 119: 146-151, 2015

28)Rotter JB: Generalized expectancies for internal versus external control of reinforcement. Psychol Monogr 80: 1-28, 1966

29)Bishop DL, Misgeld T, Walsh MK, Gan WB, Lichtman JW: Axon branch removal at developing synapses by axosome shedding. Neuron 44: 651-661, 2004

30)Taki Y, Thyreau B, Hashizume H, Sassa Y, Takeuchi H, et al: Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel-based and region of interest analyses in 246 healthy children. Hum Brain Mapp 34: 1842-1856, 2013

31)Borghesani PR, Madhyastha TM, Aylward EH, Reiter MA, Swarny BR, et al: The association between higher order abilities, processing speed, and age are variably mediated by white matter integrity during typical aging. Neuropsychologia 51: 1435-1444, 2013

32)Heilman KM, Nadeau SE, Beversdorf DO: Creative innovation: possible brain mechanisms. Neurocase 9: 369-379, 2003

33)James W: The Principles of Psychology. Henry Holt, New York, 1890

34)Wierenga LM, Langen M, Oranje B, Durston S: Unique developmental trajectories of cortical thickness and surface area. NeuroImage 87: 120-126, 2014

35)Takeuchi H, Taki Y, Hashizume H, Asano K, Asano M, et al: Impact of videogame play on the brain's microstructural properties: cross-sectional and longitudinal analyses. Mol Psychiatry 21: 1781-1789, 2016

36)Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol 57: 289-300, 1995