Evidence in chronic fatigue syndrome for severity-dependent upregulation of prefrontal myelination that is independent of anxiety and depression

NMR in Biomedicine

Volumn 28, Issue 3, 2015, Pages 404-413

  Barnden, Leighton R ^a,b,c   Crouch, Benjamin ^a   Kwiatek, Richard ^d   Burnet, Richard ^e   Del Fante, Peter ^f  

^a QUEEN ELIZABETH HOSPITAL   (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c GRIFFITH UNIVERSITY   (Australia)

^d LYELL MCEWIN HOSPITAL   (Australia)

^e ROYAL ADELAIDE HOSPITAL   (Australia)

^f Adelaide Western General Practice Network   (Australia)

Author keywords

CFS; Depression; Midbrain; MRI; Myelin upregulation; Prefrontal white matter; Severity

Indexed keywords

CALIFORNIUM; MAGNETIC RESONANCE IMAGING; SIGNAL SYSTEMS;

DEPRESSION; MIDBRAIN; SEVERITY; UP-REGULATION; WHITE MATTER;

BRAIN;

ADULT; ANXIETY; ARTICLE; CAPSULA INTERNA; CHRONIC FATIGUE SYNDROME; CLINICAL ARTICLE; COGNITION; CONTROLLED STUDY; DEPRESSION; DISEASE DURATION; FEMALE; HOSPITAL ANXIETY AND DEPRESSION SCALE; HUMAN; MALE; MESENCEPHALON; MYELINATION; NERVE CONDUCTION; NERVOUS SYSTEM INFLAMMATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TEMPORAL LOBE; THALAMUS NUCLEUS; THALAMUS VENTRAL NUCLEUS; UPREGULATION; VOXEL BASED MORPHOMETRY; WHITE MATTER; COMPLICATION; METABOLISM; MIDDLE AGED; MYELIN SHEATH; PATHOPHYSIOLOGY; PREFRONTAL CORTEX; YOUNG ADULT;

ADULT; ANXIETY; DEPRESSION; FATIGUE SYNDROME, CHRONIC; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MYELIN SHEATH; PREFRONTAL CORTEX; UP-REGULATION; WHITE MATTER; YOUNG ADULT;

EID: 84923869924     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.3261     Document Type: Article

References (57)

1. Carruthers B, van de Sande M, DeMeirleir K, Klimas N, Broderick G, Mitchell T, Staines D, Powles A, Speight N, Vallings R, Bateman L, Baumgarten-Austrheim B, Bell D, Carlo-Stella N, Chia J, Darragh A, Lewis D, Jo D, Light A, Marshall-Gradisnik S, Mena I, Mikovits J, Miwa K, Murovska M, Pall M, Stevens S. Myalgic encephalomyelitis: international consensus criteria. J. Intern. Med. 2011; 270: 327-338.
2. Christley Y, Duffy T, Everall I, Martin C. The neuropsychiatric and neuropsychological features of chronic fatigue syndrome: revisiting the enigma. Curr. Psychiatr. Rep. 2013; 15: 353-362.
3. Harvey S, Wadsworth M, Wessely S, Hotopf M. The relationship between prior psychiatric disorder and chronic fatigue: evidence from a national birth cohort study. Psychol. Med. 2008; 38: 933-940.
4. Barnden L, Crouch B, Kwiatek R, Burnet R, Mernone A, Chryssidis S, Scroop G, Del Fante P. A brain MRI study of chronic fatigue syndrome: evidence of brainstem dysfunction and altered homeostasis. NMR Biomed. 2011; 24(10): 1302-1312.
5. 11C-(R)-PK11195 PET study. J. Nucl. Med. 2014; 55: 945-950.
6. Costa DC, Tannock C, Brostoff J. Brainstem perfusion is impaired in chronic fatigue syndrome. Q. J. Med. 1995; 88: 767-773.
7. Lange G, Wang M, DeLuca J, Natelson B. Neuroimaging in chronic fatigue syndrome. Am. J. Med. 1998; 105(3A): 50S-53S.
8. Tirelli U, Chierichetti F, Tavio M, Simonelli C, Bianchin G, Zanco P, Ferlin G. Brain positron emission tomography (PET) in chronic fatigue syndrome: preliminary data. Am. J. Med. 1998; 105(3A): 54S-58S.
9. Siessmeier T, Nix WA, Hardt J, Schreckenberger M, Egle UT, Bartenstein P. Observer independent analysis of cerebral glucose metabolism in patients with chronic fatigue syndrome. J. Neurol. Neurosurg. Psychiatry 2003; 74: 922-928.
10. Roelcke U, Kappos L, Lechner-Scott J, Brunschweiler H, Huber S, Ammann W, Plohman A, Dellas S, Maguire R, Missimer J, Radu E, Steck A, Leenders K. Reduced glucose metabolism in the frontal cortex and basal ganglia of multiple sclerosis patients with fatigue. Neurology 1997; 48: 1566-1571.
11. Okada T, Tanaka M, Kuratsune H, Watanabe Y, Sadato N. Mechanisms underlying fatigue: a voxel-based morphometric study of chronic fatigue syndrome. BMC Neurol. 2004; 4: 14-19.
12. de Lange F, Kalkman J, Bleijenberg G, Hagoort P, van der Meer J, Toni I. Gray matter volume reduction in the chronic fatigue syndrome. Neuroimage 2005; 26: 777-781.
13. Lange G, DeLuca J, Maldjian J, Lee H-J, Tiersky L, Natelson B. Brain MRI abnormalities exist in a subset of patients with chronic fatigue syndrome. J. Neurol. Sci. 1999; 171: 3-7.
14. Natelson B, Cohen J, Brasloff I, Lee H-J. A controlled study of brain magnetic resonance imaging in patients with the chronic fatigue syndrome. J. Neurol. Sci. 1993; 120: 213-217.
15. Greco A, Tannock C, Brostoff J, Costa D. Brain MR in chronic fatigue syndrome. Am. J. Neuroradiol. 1997; 18: 1265-1269.
16. Caseras X, Mataix-Cols D, Rimes K, Giampietro V, Brammer M, Zelaya F, Chalder T, Godfrey E. The neural correlates of fatigue: an exploratory imaginal fatigue provocation study in chronic fatigue syndrome. Psychol. Med. 2008; 38: 941-951.
17. Duffy F, McAnulty G, McCreary M, Cuchural G, Komaroff A. EEG spectral coherence data distinguish chronic fatigue syndrome patients from healthy controls and depressed patients-a case control study. BMC Neurol. 2011; 11: 82-93.
18. Bushberg J, Seibert J, Leidholdt E, Boone J. The Essential Physics of Medical Imaging. Lippincott, Williams and Wilkins: Philadelphia, PA; 2002.
19. Koenig S. Cholesterol of myelin is the determinant of gray-white contrast in MRI of brain. Magn. Reson. Imaging 1991; 20: 285-291.
20. Koenig S, Brown R, Spiller M, Lundbom N. Relaxometry of brain: why white matter appears bright in MRI. Magn. Reson. Med. 1990; 14: 482-495.
21. Roberts T, Mikulis D. Neuro MR: principles. J. Magn. Reson. Imaging 2007; 26: 823-837.
22. Anderson C, Kaufman M, Lowen S, Rohan M, Renshaw P, Teicher M. Brain T2 relaxation times correlate with regional cerebral blood volume. MAGMA 2005; 18: 3-6.
23. Friston KJ, Worsley KJ, Frackowiak RSJ, Mazziotta JC, Evans AC. Assessing the significance of focal activations using their spatial extent. Hum. Brain Mapping 1994; 1: 214-220.
24. Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. Ann Intern Med 1994; 121: 953-959.
25. Carruthers B, Jain AK, De Meirleir KL, Peterson DL, Klimas N, Lerner AM, C BA, Flor-Henry P, Joshi P, Powles A, Sherkey JA, Van de Sande MI. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Clinical working case definition, Diagnostic and Treatment Protocols. J Chron Fatig Syn 2003; 11: 87-97.
26. Bell DS. The Doctor's Guide to Chronic Fatigue Syndrome. Addison Wesley: Reading, MA; 1995.
27. Hawk C, Jason L, Torres-Harding S. Reliability of a chronic fatigue syndrome questionnaire. J. Chronic Fatigue Syndrome 2006; 13: 41-66.
28. Wilson A, Hickie I, Hadzi-Pavlovic D, Wakefield D, Parker G, Straus S, Dale J, McCluskey D, Hinds G, Brickman A, Goldenberg D, Demitrack M, Wessley S, Sharpe M, Lloyd A. What is chronic fatigue syndrome? Heterogeneity within an international multicentre study. Aust. NZ J. Psychiatry 2001; 35: 520-527.
29. Zigmond A, Snaith R. The Hospital Anxiety and Depression Scale. Acta Psychiatr. Scand. 1983; 67: 361-370.
30. Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage 2007; 38: 95-113.
31. Yassa M, Stark C. A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe. Neuroimage 2009; 44: 319-327.
32. Good CD, Johnsrude IS, Ashburner J, Henson RNA, Friston K, Frackowiak R. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 2001; 14: 21-36.
33. Abbott D, Pell G, Pardoe H, Jackson G. Voxel-based iterative sensitivity (VBIS): methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis. Neuroimage 2009; 44: 812-819.
34. Hayasaka S, Phan K, Liberzon I, Worsley K, Nichols T. Nonstationary cluster-size inference with random field and permutation methods. Neuroimage 2004; 22: 676-687.
35. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Statist. Soc., Ser. B 1995; 57: 289-300.
36. Yamazaki Y, Hozumi Y, Kaneko K, Sugihara T, Fujii S, Goto K, Kato H. Modulatory effects of oligodendrocytes on the conduction velocity of action potentials along axons in the alveus of the rat hippocampal CA1 region. Neuron Glia Biol. 2007; 3: 325-334.
37. Fields R. White matter in learning, cognition and psychiatric disorders. Trends Neurosci. 2008; 31: 361-370.
38. Gibson E, Purger D, Mount C, Goldstein A, Lin G, Wood L, Inema I, Miller S, Bieri G, Zuchero J, Barres B, Woo P, Vogel H, Monje M. Neuronal activity promotes oligodendrogenesis and adaptive myelination in the mammalian brain. Science 2014; 344. doi:10.1126/science.1252304.
39. Emery B. Regulation of Oligodendrocyte Differentiation and Myelination. Science. 2010; 330: 779-782.
40. Salami M, Itami C, Tsumoto T, Kimura F. Change of conduction velocity by regional myelination yields constant latency irrespective of distance between thalamus and cortex. Proc. Natl. Acad. Sci. 2003; 100: 6174-6179.
41. Hilgers A, Frank J, Bolte P. Prolongation of central motor conduction time in chronic fatigue syndrome. J. Chronic Fatigue Syndrome 1998; 4(2): 23-32.
42. Miyachi S. Cortico-basal ganglia circuits--parallel closed loops and convergent/divergent connections. Brain Nerve 2009; 61: 351-359.
43. Redgrave P, Coizet V, Comoli E, McHaffie J, Leriche M, Vautrelle N, Hayes L, Overton P. Interactions between the midbrain superior colliculus and the basal ganglia. Front. Neuroanat. 2010; 22: 132.
44. Guyton A, Hall J. Textbook of Medical Physiology. Elsevier: Philadelphia, PA; 2006.
45. Nolte J, Angevine JBJ. The Human Brain in Photographs and Diagrams: Mosby: St. Louis, MO; 2000.
46. Nolte J. The Human Brain. An Introduction to its Functional Anatomy. Mosby: St Louis, MO; 2002.
47. Patterson K, Nestor P, Rogers T. Where do you know what you know? The representation of semantic knowledge in the human brain. Nat. Rev. Neurosci. 2007; 98: 976-987.
48. Wang M, He B. Across-modal investigation of the neural substrates for ongoing cognition. Front. Psychol. 2014; 5: 1-10.
49. Zeineh M, Kang J, Atlas S, Raman M, Reiss A, Norris J, Valencia I, Montoya J. Right arcuate fasciculus abnormality in chronic fatigue syndrome. Radiology 2014. doi 10.1148/radiol.14141079.
50. Rayhan R, Stevens B, Timbol C, Adewuyi O, Walitt B, VanMeter J, Baraniuk J. Increased brain white matter axial diffusivity associated with fatigue, pain and hyperalgesia in gulf war illness. PLoS One 2013; 8: 10.
51. Anderson G, Berk M, Maes M. Biological phenotypes underpin the physio-somatic symptoms of somatization, depression, and chronic fatigue syndrome. Acta Psychiatr. Scand. 2014; 129: 83-97.
52. Shungua D, Weiduschata N, Murrough J, Maoa X, Pillemer S, Dykea J, Medow M, Natelson B, Stewart J, Mathew S. Increased ventricular lactate in chronic fatigue syndrome. III. Relationships to cortical glutathione and clinical symptoms implicate oxidative stress in disorder pathophysiology. NMR Biomed. 2012; 25: 1073-1087.
53. Mathew S, Mao X, Keegan K, Levine S, Smith E, Heier L, Otcheretko V, Coplan J, Shungu D. Ventricular cerebrospinal fluid lactate is increased in chronic fatigue syndrome compared with generalized anxiety disorder: an invivo 3.0 T (1)H MRS imaging study. NMR Biomed. 2009; 22(3): 251-258.
54. Hayakawa Y, Sasaki H, Takao H, Hayashi N, Kunimatsua A, Ohtomo K, Aoki S. Depressive symptoms and neuroanatomical structures in community-dwelling women: a combined voxel-based morphometry and diffusion tensor imaging study with tract-based spatial statistics. NeuroImage Clin. 2014; 4: 481-487.
55. Wagner D, Nisenbaum R, Heim C, Jones J, Unger E, Reeves W. Psychometric properties of the CDC symptom inventory for assessment of chronic fatigue syndrome. Pop. Health Metrics 2005; 3: 8.
56. Calamante F, Masterton RJ, Tournier J-D, Smith R-E, Willats L, Raffelt D, Connelly A. Track-weighted functional connectivity (TW-FC): a tool for characterizing the structural-functional connections in the brain. Neuroimage 2013; 70: 199-210.
57. Raffelt D, Tournier J-D, Stephen Rose S, Ridgway G, Henderson R, Crozier S, Salvado O, Connelly A. Apparent fibre density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 2012; 59: 3976-3994.