Seeking optimal region-of-interest (ROI) single-value summary measures for fMRI studies in imaging genetics

PLoS ONE

Volumn 11, Issue 3, 2016, Pages

  Tong, Yunxia ^a   Chen, Qiang ^b   Nichols, Thomas E ^c   Rasetti, Roberta ^d   Callicott, Joseph H ^a   Berman, Karen F ^a   Weinberger, Daniel R ^b,e   Mattay, Venkata S ^b,e  

^a NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c UNIVERSITY OF WARWICK   (United Kingdom)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CATECHOL METHYLTRANSFERASE; METHIONINE; VALINE;

ARTICLE; CONTROLLED STUDY; DORSOLATERAL PREFRONTAL CORTEX; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENETIC ANALYSIS; GENETIC DIFFERENCE; GENETIC POLYMORPHISM; GENETIC RISK; GENETIC VARIABILITY; GENOTYPE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; N-BACK TEST; RADIOLOGICAL PARAMETERS; REGION OF INTEREST; RELIABILITY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY ANALYSIS; SIBLING; VALIDITY; WORKING MEMORY; DATA BASE; DEMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; THREE DIMENSIONAL IMAGING;

DATABASES AS TOPIC; DEMOGRAPHY; GENOTYPE; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 84961629620     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0151391     Document Type: Article

References (38)

1. Bigos KL, Weinberger DR. Imaging genetics - days of future past. NeuroImage. 2010; 53(3):804-9. doi: 10.1016/j.neuroimage.2010.01.035 PMID: 20080192
2. Rasetti R, Weinberger DR. Intermediate phenotypes in psychiatric disorders. Current opinion in genetics & development. 2011; 21(3):340-8.
3. Mattay VS, Meyer-Lindenberg A, Weinberger DR. Imaging genetics. In: Senior C, Russell T, Gazzaniga MS, editors. In Methods in Mind. Cambridge, MA: MIT Press; 2006. p. 263-90.
4. Meyer-Lindenberg A, Weinberger DR. Intermediate phenotypes and genetic mechanisms of psychiatric disorders. Nature reviews Neuroscience. 2006; 7(10):818-27. PMID: 16988657
5. Hariri AR, Weinberger DR. Imaging genomics. British medical bulletin. 2003; 65:259-70. PMID: 12697630
6. Potkin SG, Turner JA, Guffanti G, Lakatos A, Fallon JH, Nguyen DD, et al. A genome-wide association study of schizophrenia using brain activation as a quantitative phenotype. Schizophr Bull. 2009; 35(1):96-108. doi: 10.1093/schbul/sbn155 PMID: 19023125
7. Potkin SG, Turner JA, Guffanti G, Lakatos A, Torri F, Keator DB, et al. Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations. Cogn Neuropsychiatry. 2009; 14(4-5):391-418. doi: 10.1080/13546800903059829 PMID: 19634037
8. Shen L, Kim S, Risacher SL, Nho K, Swaminathan S, West JD, et al. Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. Neuroimage. 2010; 53(3):1051-63. doi: 10.1016/j.neuroimage.2010.01.042 PMID: 20100581
9. Stein JL, Hibar DP, Madsen SK, Khamis M, McMahon KL, deZubicaray GI, et al. Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N = 1198) using genome-wide search. Molecular psychiatry. 2011; 16(9):927-37, 881. doi: 10.1038/mp.2011.32 PMID: 21502949
10. Stein JL, Hua X, Morra JH, Lee S, Hibar DP, Ho AJ, et al. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neuroimage. 2010; 51(2):542-54. doi: 10.1016/j.neuroimage.2010.02.068 PMID: 20197096
11. Ge T, Schumann G, Feng J. Imaging genetics - Towards discovery neuroscience. Quantitative Biology. 2013; 1(4):227-45.
12. Medland SE, Jahanshad N, Neale BM, Thompson PM. Whole-genome analyses of whole-brain data: working within an expanded search space. Nature neuroscience. 2014; 17(6):791-800. doi: 10.1038/nn.3718 PMID: 24866045
13. Stein JL, Hua X, Lee S, Ho AJ, Leow AD, Toga AW, et al. Voxelwise genome-wide association study (vGWAS). Neuroimage. 2010; 53(3):1160-74. doi: 10.1016/j.neuroimage.2010.02.032 PMID: 20171287
14. Potkin SG, Guffanti G, Lakatos A, Turner JA, Kruggel F, Fallon JH, et al. Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease. PLoS ONE. 2009; 4(8):e6501. doi: 10.1371/journal.pone.0006501 PMID: 19668339
15. Seshadri S, DeStefano AL, Au R, Massaro JM, Beiser AS, Kelly-Hayes M, et al. Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the Framingham Study. BMC Med Genet. 2007; 8 Suppl 1:S15. PMID: 17903297
16. Brett M, Johnsrude IS, Owen AM. The problem of functional localization in the human brain. Nature reviews Neuroscience. 2002; 3(3):243-9. PMID: 11994756
17. Nichols T, Hayasaka S. Controlling the familywise error rate in functional neuroimaging: a comparative review. Statistical methods in medical research. 2003; 12(5):419-46. PMID: 14599004
18. Buck R, Singhal H, Arora J, Schlitt H, Constable RT. Detecting change in BOLD signal between sessions for atlas-based anatomical ROIs. Neuroimage. 2008; 40(3):1157-65. doi: 10.1016/j.neuroimage.2008.01.001 PMID: 18294868
19. Marrelec G, Fransson P. Assessing the influence of different ROI selection strategies on functional connectivity analyses of fMRI data acquired during steady-state conditions. PLoS ONE. 2011; 6(4):e14788. doi: 10.1371/journal.pone.0014788 PMID: 21533283
20. Mitsis GD, Iannetti GD, Smart TS, Tracey I, Wise RG. Regions of interest analysis in pharmacological fMRI: how do the definition criteria influence the inferred result? Neuroimage. 2008; 40(1):121-32. doi: 10.1016/j.neuroimage.2007.11.026 PMID: 18226552
21. Poldrack RA. Region of interest analysis for fMRI. Social cognitive and affective neuroscience. 2007; 2(1):67-70. doi: 10.1093/scan/nsm006 PMID: 18985121
22. Friston KJ, Ashburner J., Kiebel S., Nichols T., and Penny W. Statistical parametric mapping: The analysis of funtional brain images. 1sted. Amsterdam; Boston: Elsevier/Academic Press; 2007.
23. Nieto-Castanon A, Ghosh SS, Tourville JA, Guenther FH. Region of interest based analysis of functional imaging data. Neuroimage. 2003; 19(4):1303-16. PMID: 12948689
24. Constable RT, Skudlarski P, Mencl E, Pugh KR, Fulbright RK, Lacadie C, et al. Quantifying and comparing region-of-interest activation patterns in functional brain MR imaging: methodology considerations. Magnetic resonance imaging. 1998; 16(3):289-300. PMID: 9621970
25. Friston KJ, Rotshtein P, Geng JJ, Sterzer P, Henson RN. A critique of functional localisers. Neuroimage. 2006; 30(4):1077-87. PMID: 16635579
26. Callicott JH, Bertolino A, Mattay VS, Langheim FJ, Duyn J, Coppola R, et al. Physiological dysfunction of the dorsolateral prefrontal cortex in schizophrenia revisited. Cereb Cortex. 2000; 10(11):1078-92. PMID: 11053229
27. Callicott JH, Egan MF, Mattay VS, Bertolino A, Bone AD, Verchinksi B, et al. Abnormal fMRI response of the dorsolateral prefrontal cortex in cognitively intact siblings of patients with schizophrenia. The American journal of psychiatry. 2003; 160(4):709-19. PMID: 12668360
28. Thompson PM, Ge T, Glahn DC, Jahanshad N, Nichols TE. Genetics of the connectome. Neuroimage. 2013; 80:475-88. doi: 10.1016/j.neuroimage.2013.05.013 PMID: 23707675
29. Egan MF, Goldberg TE, Kolachana BS, Callicott JH, Mazzanti CM, Straub RE, et al. Effect of COMT Val108/158 Met genotype on frontal lobe function and risk for schizophrenia. Proceedings of the National Academy of Sciences of the United States of America. 2001; 98(12):6917-22. PMID: 11381111
30. Sambataro F, Mattay VS, Thurin K, Safrin M, Rasetti R, Blasi G, et al. Altered cerebral response during cognitive control: a potential indicator of genetic liability for schizophrenia. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology. 2013; 38(5):846-53.
31. Blasi G, Goldberg TE, Weickert T, Das S, Kohn P, Zoltick B, et al. Brain regions underlying response inhibition and interference monitoring and suppression. The European journal of neuroscience. 2006; 23(6):1658-64. PMID: 16553630
32. Murphy K, Bodurka J, Bandettini PA. How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration. Neuroimage. 2007; 34(2):565-74. PMID: 17126038
33. Callicott JH, Mattay VS, Verchinski BA, Marenco S, Egan MF, Weinberger DR. Complexity of prefrontal cortical dysfunction in schizophrenia: more than up or down. The American journal of psychiatry. 2003; 160(12):2209-15. PMID: 14638592
34. Cohen J. Statistical power analysis for the behavioral sciences. 2nded. New York: Academic Press; 1988.
35. Olejnik S, Algina J. Generalized eta and omega squared statistics: measures of effect size for some common research designs. Psychological methods. 2003; 8(4):434-47. PMID: 14664681
36. Kirk RE. Practical significance: A concept whose time has come. Educational and Psychological Measurement. 1996; 56:746-59.
37. Worsley KJ, Marrett S, Neelin P, Vandal AC, Friston KJ, Evans AC. A unified statistical approach for determining significant signals in images of cerebral activation. Human brain mapping. 1996; 4(1):58-73. doi: 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O PMID: 20408186
38. Kotrlik JW, Williams HA. The Incorporation of Effect Size in Information Technology, Learning, and Performance Research. Information Technology, Learning, and Performance Journal. 2003; 21(1):1-7.