Genes influence the amplitude and timing of brain hemodynamic responses

NeuroImage

Volumn 124, Issue , 2016, Pages 663-671

  Shan, Zuyao Y ^a   Vinkhuyzen, Anna A E ^a   Thompson, Paul M ^b   McMahon, Katie L ^a   Blokland, Gabriëlla A M ^a,c   de Zubicaray, Greig I ^a   Calhoun, Vince ^d   Martin, Nicholas G ^c   Visscher, Peter M ^a   Wright, Margaret J ^c   Reutens, David C ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^d MSC01 1070   (United States)

Author keywords

Hemodynamic response function (HRF); Heritability; Neurovascular coupling; Twin study

Indexed keywords

ADULT; AMPLITUDE MODULATION; ANGULAR GYRUS; ARTICLE; BRAIN BLOOD FLOW; CONTROLLED STUDY; DIZYGOTIC TWINS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HEMODYNAMICS; HERITABILITY; HUMAN; IMAGE ANALYSIS; LEFT HEMISPHERE; MALE; MIDDLE FRONTAL GYRUS; MONOZYGOTIC TWINS; PARIETAL LOBE; PHENOTYPIC VARIATION; PRIORITY JOURNAL; RIGHT HEMISPHERE; SIGNAL NOISE RATIO; SINGLE NUCLEOTIDE POLYMORPHISM; SUPRAMARGINAL GYRUS; TASK PERFORMANCE; WORKING MEMORY; ADOLESCENT; BRAIN; BRAIN CIRCULATION; ENVIRONMENT; FRONTAL LOBE; GENETICS; GENOTYPE; IMAGE PROCESSING; NERVE CELL; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; TWINS; YOUNG ADULT;

ADOLESCENT; ADULT; BRAIN; CEREBROVASCULAR CIRCULATION; ENVIRONMENT; FEMALE; FRONTAL LOBE; GENOTYPE; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURONS; PARIETAL LOBE; PSYCHOMOTOR PERFORMANCE; TWINS, DIZYGOTIC; TWINS, MONOZYGOTIC; YOUNG ADULT;

EID: 84943405816     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.09.016     Document Type: Article

References (31)

1. Aguirre G.K., Zarahn E., D'Esposito M. The variability of human, BOLD hemodynamic responses. Neuroimage 1998, 8:360-369.
2. Anwar M.A., Georgiadis K.A., Shalhoub J., Lim C.S., Gohel M.S., Davies A.H. A review of familial, genetic, and congenital aspects of primary varicose vein disease. Circ. Cardiovasc. Genet. 2012, 5:460-466.
3. Ashburner J., Friston K.J. Nonlinear spatial normalization using basis functions. Hum. Brain Mapp. 1999, 7:254-266.
4. Blokland G.A.M., McMahon K.L., Hoffman J., Zhu G., Meredith M., Martin N.G., Thompson P.M., de Zubicaray G.I., Wright M.J. Quantifying the heritability of task-related brain activation and performance during the N-back working memory task: a twin fMRI study. Biol. Psychol. 2008, 79:70-79.
5. Blokland G.A.M., McMahon K.L., Thompson P.M., Martin N.G., de Zubicaray G.I., Wright M.J. Heritability of working memory brain activation. J. Neurosci. 2011, 31:10882-10890.
6. Brinsuk M., Tank J., Luft F.C., Busjahn A., Jordan J. Heritability of venous function in humans. Arterioscler. Thromb. Vasc. Biol. 2004, 24:207-211.
7. Bruhn H., Fransson P., Frahm J. Modulation of cerebral blood oxygenation by indomethacin: MRI at rest and functional brain activation. J. Magn. Reson. Imaging 2001, 13:325-334.
8. Buxton R.B., Uludag K., Dubowitz D.J., Liu T.T. Modeling the hemodynamic response to brain activation. Neuroimage 2004, 23:S220-S233.
9. Callicott J.H., Ramsey N.F., Tallent K., Bertolino A., Knable M.B., Coppola R., Goldberg T., van Gelderen P., Mattay V.S., Frank J.A., Moonen C.T.W., Weinberger D.R. Functional magnetic resonance imaging brain mapping in psychiatry: methodological issues illustrated in a study of working memory in schizophrenia. Neuropsychopharmacology 1998, 18:186-196.
10. de Zubicaray G.I., Chiang M.-C., McMahon K.L., Shattuck D.W., Toga A.W., Martin N.G., Wright M.J., Thompson P.M. Meeting the challenges of neuroimaging genetics. Brain Imaging Behav. 2008, 2:258-263.
11. Deschaintre Y., Richard F., Leys D., Pasquier F. Treatment of vascular risk factors is associated with slower decline in Alzheimer disease. Neurology 2009, 73:674-680.
12. Dominicus A., Skrondal A., Gjessing H.K., Pedersen N.L., Palmgren J. Likelihood ratio tests in behavioral genetics: problems and solutions. Behav. Genet. 2006, 36:331-340.
13. Friston K.J., Frith C.D., Turner R., Frackowiak R.S.J. Characterizing evoked hemodynamics with fMRI. Neuroimage 1995, 2:157-165.
14. Gorelick P.B., Scuteri A., Black S.E., Decarli C., Greenberg S.M., Iadecola C., Launer L.J., Laurent S., Lopez O.L., Nyenhuis D., Petersen R.C., Schneider J.A., Tzourio C., Arnett D.K., Bennett D.A., Chui H.C., Higashida R.T., Lindquist R., Nilsson P.M., Roman G.C., Sellke F.W., Seshadri S. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the american heart association/american stroke association. Stroke 2011, 42:2672-2713.
15. Hahn T., Heinzel S., Plichta M.M., Reif A., Lesch K.P., Fallgatter A.J. Neurovascular coupling in the human visual cortex is modulated by cyclooxygenase-1 (COX-1) gene variant. Cereb. Cortex 2011, 21:1659-1666.
16. Iadecola C. Neurovascular regulation in the normal brain and in Alzheimer's disease. Nat. Rev. Neurosci. 2004, 5:347-360.
17. Iadecola C. The pathobiology of vascular dementia. Neuron 2013, 80:844-866.
18. Kitaguchi H., Tomimoto H., Ihara M., Shibata M., Uemura K., Kalaria R.N., Kihara T., Asada-Utsugi M., Kinoshita A., Takahashi R. Chronic cerebral hypoperfusion accelerates amyloid beta deposition in APPSwInd transgenic mice. Brain Res. 2009, 1294:202-210.
19. Koike M.A., Green K.N., Blurton-Jones M., Laferla F.M. Oligemic hypoperfusion differentially affects tau and amyloid-{beta}. Am. J. Pathol. 2010, 177:300-310.
20. Maus B., van Breukelen G.J.P., Goebel R., Berger M.P.F. Optimal design for nonlinear estimation of the hemodynamic response function. Hum. Brain Mapp. 2012, 33:1253-1267.
21. Neale M.C., Miller M.B. The use of likelihood-based confidence intervals in genetic models. Behav. Genet. 1997, 27:113-120.
22. Okamoto Y., Yamamoto T., Kalaria R.N., Senzaki H., Maki T., Hase Y., Kitamura A., Washida K., Yamada M., Ito H., Tomimoto H., Takahashi R., Ihara M. Cerebral hypoperfusion accelerates cerebral amyloid angiopathy and promotes cortical microinfarcts. Acta Neuropathol. 2012, 123:381-394.
23. Olesen P.J., Westerberg H., Klingberg T. Increased prefrontal and parietal activity after training of working memory. Nat. Neurosci. 2004, 7:75-79.
24. Pincus S.M. Approximate entropy as a measure of system-complexity. Proc. Natl. Acad. Sci. U. S. A. 1991, 88:2297-2301.
25. Richard E., Gouw A.A., Scheltens P., van Gool W.A. Vascular care in patients with Alzheimer disease with cerebrovascular lesions slows progression of white matter lesions on MRI: the evaluation of vascular care in Alzheimer's disease (EVA) study. Stroke 2010, 41:554-556.
26. Shan Z.Y., Wright M.J., Thompson P.M., McMahon K.L., Blokland G.G., de Zubicaray G.I., Martin N.G., Vinkhuyzen A.A., Reutens D.C. Modeling of the hemodynamic responses in block design fMRI studies. J. Cereb. Blood Flow Metab. 2014, 34:316-324.
27. Shattuck D.W., Mirza M., Adisetiyo V., Hojatkashani C., Salamon G., Narr K.L., Poldrack R.A., Bilder R.M., Toga A.W. Construction of a 3D probabilistic atlas of human cortical structures. Neuroimage 2008, 39:1064-1080.
28. Stephan K.E., Weiskopf N., Drysdale P.M., Robinson P.A., Friston K.J. Comparing hemodynamic models with DCM. Neuroimage 2007, 38:387-401.
29. Storey J.D. A direct approach to false discovery rates. J. R. Stat. Soc. Ser. B Stat Methodol. 2002, 64:479-498.
30. Wright M.J., Martin N.G. Brisbane adolescent twin study: outline of study methods and research projects. Aust. J. Psychol. 2004, 56:65-78.
31. Zacchigna S., Lambrechts D., Carmeliet P. Neurovascular signalling defects in neurodegeneration. Nat. Rev. Neurosci. 2008, 9:169-181.