BRAIN and NERVE－神経研究の進歩73巻11号

2021年11月発行

総説

安静時fMRIにおける動的機能結合の臨床応用

著者： 品川和志¹² 寺澤悠理³ 梅田聡³

所属機関： ¹慶應義塾大学大学院社会学研究科心理学専攻 ²日本学術振興会 ³慶應義塾大学文学部

ページ範囲：P.1267 - P.1273

文献概要

安静時fMRIでは，撮像中に均質な心的状態を仮定し，撮像時間全体の平均的な脳の機能的結合を評価する。しかし，安静時であっても，機能的結合は時間経過に伴い変動している場合が多い。そこで，機能的結合の時間的変化の側面に焦点を絞った，動的機能結合（dFC）と呼ばれる指標が提案されている。本総説では，dFCの意義や主な手法，臨床研究への適用例，またその限界について概説し，dFCの臨床応用可能性を示す。

参考文献

1)Raichle ME, Mintun MA: Brain work and brain imaging. Annu Rev Neurosci 29: 449-476, 2006

2)Raichle ME: The brain's default mode network. Annu Rev Neurosci 38: 433-447, 2015

3)Fox MD, Raichle ME: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8: 700-711, 2007

4)Lee MH, Smyser CD, Shimony JS: Resting-state fMRI: a review of methods and clinical applications. AJNR Am J Neuroradiol 34: 1866-1872, 2013

5)Filippi M, Spinelli EG, Cividini C, Agosta F: Resting state dynamic functional connectivity in neurodegenerative conditions: a review of magnetic resonance imaging findings. Front Neurosci 13: 657, 2019　［doi: 10.3389/fnins.2019.00657］

6)Hu ML, Zong XF, Mann JJ, Zheng JJ, Liao YH, et al: A review of the functional and anatomical default mode network in schizophrenia. Neurosci Bull 33: 73-84, 2017

7)Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I: Resting-state functional connectivity in major depressive disorder: a review. Neurosci Biobehav Rev 56: 330-344, 2015

8)Padmanabhan A, Lynch CJ, Schaer M, Menon V: The default mode network in autism. Biol Psychiatry Cogn Neurosci Neuroimaging 2: 476-486, 2017

9)Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, et al: Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage 80: 360-378, 2013

10)Lurie DJ, Kessler D, Bassett DS, Betzel RF, Breakspear M, et al: Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Netw Neurosci 4: 30-69, 2020

11)Killingsworth MA, Gilbert DT: A wandering mind is an unhappy mind. Science 330: 932, 2010　［doi: 10.1126/science.1192439］

12)Rabinovich MI, Varona P: Robust transient dynamics and brain functions. Front Comput Neurosci 5: 24, 2011　［doi: 10.3389/fncom.2011.00024］

13)Yaesoubi M, Allen EA, Miller RL, Calhoun VD: Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information. Neuroimage 120: 133-142, 2015

14)Karahanoğlu FI, van de Ville D: Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks. Nat Commun 6: 7751, 2015　［doi: 10.1038/ncomms8751］

15)Quinn AJ, Vidaurre D, Abeysuriya R, Becker R, Nobre AC, et al: Task-evoked dynamic network analysis through hidden markov modeling. Front Neurosci 12: 603, 2018　［doi: 10.3389/fnins.2018.00603］

16)Breakspear M: Dynamic models of large-scale brain activity. Nat Neurosci 20: 340-352, 2017

17)Preti MG, van de Ville D: Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization. Sci Rep 7: 12773, 2017　［doi: 10.1038/s41598-017-12993-1］

18)Hindriks R, Adhikari MH, Murayama Y, Ganzetti M, Mantini D, et al: Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? Neuroimage 127: 242-256, 2016

19)Preti MG, Bolton TA, van de Ville D: The dynamic functional connectome: state-of-the-art and perspectives. Neuroimage 160: 41-54, 2017

20)Leonardi N, van de Ville D: On spurious and real fluctuations of dynamic functional connectivity during rest. Neuroimage 104: 430-436, 2015

21)Mokhtari F, Akhlaghi MI, Simpson SL, Wu G, Laurienti PJ: Sliding window correlation analysis: modulating window shape for dynamic brain connectivity in resting state. Neuroimage 189: 655-666, 2019

22)Shakil S, Billings JC, Keilholz SD, Lee CH: Parametric dependencies of sliding window correlation. IEEE Trans Biomed Eng 65: 254-263, 2017

23)Kaiser RH, Whitfield-Gabrieli S, Dillon DG, Goer F, Beltzer M, et al: Dynamic resting-state functional connectivity in major depression. Neuropsychopharmacology 41: 1822-1830, 2016

24)Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA: Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA psychiatry 72: 603-611, 2015

25)Hahn A, Strandberg TO, Stomrud E, Nilsson M, van Westen D, et al: Association between earliest amyloid uptake and functional connectivity in cognitively unimpaired elderly. Cereb Cortex 29: 2173-2182, 2019

26)van der Kant R, Goldstein LSB, Ossenkoppele R: Amyloid-β-independent regulators of tau pathology in Alzheimer disease. Nat Rev Neurosci 21: 21-35, 2020

27)Wang C, Ong JL, Patanaik A, Zhou J, Chee MWL: Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states. Proc Natl Acad Sci USA 113: 9653-9658, 2016

28)Laumann TO, Snyder AZ, Mitra A, Gordon EM, Gratton C, et al: On the stability of BOLD fMRI correlations. Cereb Cortex 27: 4719-4732, 2017

29)Haimovici A, Tagliazucchi E, Balenzuela P, Laufs H: On wakefulness fluctuations as a source of BOLD functional connectivity dynamics. Sci Rep 7: 5908, 2017　［doi: 10.1038/s41598-017-06389-4］

30)Gonzalez-Castillo J, Caballero-Gaudes C, Topolski N, Handwerker DA, Pereira F, et al: Imaging the spontaneous flow of thought: distinct periods of cognition contribute to dynamic functional connectivity during rest. Neuroimage 202: 116129, 2019　［doi: 10.1016/j.neuroimage.2019.116129］

31)Cohen JR: The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity. Neuroimage 180: 515-525, 2018

32)Tagliazucchi E, Laufs H: Multimodal imaging of dynamic functional connectivity. Front Neurol 6: 10, 2015　［doi: 10.3389/fneur.2015.00010］