Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2

Alzheimer's and Dementia

Volumn 11, Issue 7, 2015, Pages 740-756

  Jack, Clifford R ^a   Barnes, Josephine ^b   Bernstein, Matt A ^a   Borowski, Bret J ^a   Brewer, James ^c   Clegg, Shona ^b   Dale, Anders M ^c   Carmichael, Owen ^d   Ching, Christopher ^e   DeCarli, Charles ^d,f   Desikan, Rahul S ^g   Fennema Notestine, Christine ^g   Fjell, Anders M ^h   Fletcher, Evan ^d,f   Fox, Nick C ^b   Gunter, Jeff ^a   Gutman, Boris A ^e   Holland, Dominic ^c   Hua, Xue ^e   Insel, Philip ⁱ   Kantarci, Kejal ^a   Killiany, Ron J ^j   Krueger, Gunnar ^k   Leung, Kelvin K ^l   Mackin, Scott ^i,m   Maillard, Pauline ^d,f   Malone, Ian B ^b   Mattsson, Niklas ⁿ   McEvoy, Linda ^g   Modat, Marc ^b,l   Mueller, Susanne ^i,o   Nosheny, Rachel ^i,o   Ourselin, Sebastien ^b,l   Schuff, Norbert ^i,o   Senjem, Matthew L ^a   Simonson, Alix ⁱ   Thompson, Paul M ^e   Rettmann, Dan ^p   Vemuri, Prashanthi ^a   Walhovd, Kristine ^h   Zhao, Yansong ^q   Zuk, Samantha ^a   Weiner, Michael ^i,m,o   more..

^a MAYO CLINIC   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h UNIVERSITY OF OSLO   (Norway)

ⁱ SAN FRANCISCO VETERANS AFFAIRS MEDICAL CENTER   (United States)

^j BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^k SIEMENS CORPORATE RESEARCH   (United States)

^l UNIVERSITY COLLEGE LONDON   (United Kingdom)

^m UNIVERSITY OF CALIFORNIA   (United States)

ⁿ UNIVERSITY OF GOTHENBURG   (Sweden)

^o UNIVERSITY OF CALIFORNIA   (United States)

^p GE HEALTHCARE   (United States)

^q PHILIPS HEALTHCARE   (United States)

more..

Author keywords

ADNI; Alzheimer's disease; Alzheimer's Disease Neuroimaging Initiative; Diffusion; MRI; Neuroimaging; Perfusion; Resting functional MRI

Indexed keywords

AMYLOID; APOLIPOPROTEIN E4; BIOLOGICAL MARKER; FLUORODEOXYGLUCOSE F 18; TAU PROTEIN; SPIN LABEL;

ACCELERATION; ALZHEIMER DISEASE; ARTERIAL SPIN LABELING; ARTICLE; BRAIN ATROPHY; BRAIN FUNCTION; BRAIN HEMORRHAGE; CEREBROSPINAL FLUID ANALYSIS; CEREBROVASCULAR DISEASE; CLINICAL DEMENTIA RATING; CLINICAL TRIAL (TOPIC); COMORBIDITY; COMPUTER; DEMENTIA; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENETIC VARIABILITY; HIPPOCAMPUS; HUMAN; IMAGING SOFTWARE; MAJOR CLINICAL STUDY; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; RADIOLOGY PHANTOM; SPIN LABELING; STANDARD; TEMPORAL LOBE; THREE DIMENSIONAL IMAGING; BRAIN; CEREBROSPINAL FLUID; COGNITION DISORDERS; COMPLICATION; DIAGNOSTIC IMAGING; HISTORY; IMAGE PROCESSING; PATHOLOGY; PROCEDURES; STANDARDS; VASCULARIZATION;

ALZHEIMER DISEASE; BIOMARKERS; BRAIN; COGNITION DISORDERS; HISTORY, 20TH CENTURY; HISTORY, 21ST CENTURY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; POSITRON-EMISSION TOMOGRAPHY; SPIN LABELS;

EID: 84937540367     PISSN: 15525260     EISSN: 15525279     Source Type: Journal    
DOI: 10.1016/j.jalz.2015.05.002     Document Type: Article

References (180)

1. C.R. Jack Jr., M.A. Bernstein, N.C. Fox, P. Thompson, G. Alexander, D. Harvey, and et al. The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods J Magn Reson Imaging 27 2008 685 691
2. J.N. Rydberg, S.J. Riederer, C.H. Rydberg, and C.R. Jack Contrast optimization of fluid-attenuated inversion recovery (FLAIR) imaging Magn Reson Med 34 1995 868 877
3. C.R. Jack Jr., M.A. Bernstein, B.J. Borowski, J.L. Gunter, N.C. Fox, P.M. Thompson, and et al. Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative Alzheimers Dement 6 2010 212 220
4. S. Mueller, P. Yushkevich, L. Wang, K. Van Leemput, A. Mezher, J.E. Iglesias, and et al. Collaboration for a systematic comparison of different techniques to measure subfield volumes: announcement and first results Alzheimers Dement 9 2013 P51
5. J.L. Gunter, M.A. Bernstein, B.J. Borowski, C.P. Ward, P.J. Britson, J.P. Felmlee, and et al. Measurement of MRI scanner performance with the ADNI phantom Med Phys 36 2009 2193 2205
6. A. Simmons, E. Westman, S. Muehlboeck, P. Mecocci, B. Vellas, M. Tsolaki, and et al. The AddNeuroMed framework for multi-centre MRI assessment of Alzheimer's disease: experience from the first 24 months Int J Geriatr Psychiatry 26 2011 75 82
7. ISMRM 20th Annual Meeting and Exhibition: May 5-11, 2012; Melbourne, Australia; 2012: 2456.
8. M.L. Senjem, J.L. Gunter, M.M. Shiung, R.C. Petersen, and C.R. Jack Jr. Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease Neuroimage 26 2005 600 608
9. R.G. Boyes, J.L. Gunter, C. Frost, A.L. Janke, T. Yeatman, D.L. Hill, and et al. Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils Neuroimage 39 2008 1752 1762
10. M.J. Clarkson, S. Ourselin, C. Nielsen, K.K. Leung, J. Barnes, J.L. Whitwell, and et al. Comparison of phantom and registration scaling corrections using the ADNI cohort Neuroimage 47 2009 1506 1513
11. A.J. Ho, X. Hua, S. Lee, A.D. Leow, I. Yanovsky, B. Gutman, and et al. Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry Hum Brain Mapp 31 2010 499 514
12. K.E. Macdonald, K.K. Leung, J.W. Bartlett, M. Blair, I.B. Malone, J. Barnes, and et al. Automated template-based hippocampal segmentations from MRI: the effects of 1.5T or 3T field strength on accuracy Neuroinformatics 12 2014 405 412
13. C.R. Ching, X. Hua, D.P. Hibar, C.P. Ward, J.L. Gunter, M.A. Bernstein, and et al. Does MRI scan acceleration affect power to track brain change? Neurobiol Aging 36 Suppl 1 2015 S167 S177
14. The 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI): 2012; Nice, France; 2012.
15. K.K. Leung, I.M. Malone, S. Ourselin, J.L. Gunter, M.A. Bernstein, P.M. Thompson, and et al. Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement Neuroimage 107 2015 46 53
16. X. Hua, B. Gutman, C. Boyle, P. Rajagopalan, A.D. Leow, I. Yanovsky, and et al. Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry Neuroimage 57 2011 5 14
17. A.D. Leow, I. Yanovsky, N. Parikshak, X. Hua, S. Lee, A.W. Toga, and et al. Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition Neuroimage 45 2009 645 655
18. J.H. Morra, Z. Tu, L.G. Apostolova, A.E. Green, C. Avedissian, S.K. Madsen, and et al. Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls Hum Brain Mapp 30 2009 2766 2788
19. K.K. Leung, G.R. Ridgway, S. Ourselin, and N.C. Fox Consistent multi-time-point brain atrophy estimation from the boundary shift integral Neuroimage 59 2012 3995 4005
20. A.M. Fjell, K.B. Walhovd, C. Fennema-Notestine, L.K. McEvoy, D.J. Hagler, D. Holland, and et al. One-year brain atrophy evident in healthy aging J Neurosci 29 2009 15223 15231
21. C.R. McDonald, L.K. McEvoy, L. Gharapetian, C. Fennema-Notestine, D.J. Hagler Jr., D. Holland, and et al. Regional rates of neocortical atrophy from normal aging to early Alzheimer disease Neurology 73 2009 457 465
22. D. Holland, J.B. Brewer, D.J. Hagler, C. Fenema-Notestine, A.M. Dale, M. Weiner, and et al. Subregional neuroanatomical change as a biomarker for Alzheimer's disease Proc Natl Acad Sci U S A 106 2009 20954 20959
23. D. Holland, and A.M. Dale Nonlinear registration of longitudinal images and measurement of change in regions of interest Med Image Anal 15 2011 489 497
24. D. Holland, R.S. Desikan, A.M. Dale, and L.K. McEvoy Rates of decline in Alzheimer disease decrease with age PLoS One 7 2012 e42325
25. Hua X, Ching CR, Mezher A, Gutman B, Hibar DP, Bhatt P et al. MRI-based brain atrophy rates in ADNI Phase 2: acceleration and enrichment considerations for clinical trials. Submitted to Neuroimage 2015.
26. B.A. Gutman, Y. Wang, I. Yanovsky, X. Hua, A.W. Toga, C.R. Jack Jr., and et al. Empowering imaging biomarkers of Alzheimer's disease Neurobiol Aging 36 Suppl 1 2015 S69 S80
27. N.C. Fox, G.R. Ridgway, and J.M. Schott Algorithms, atrophy and Alzheimer's disease: cautionary tales for clinical trials Neuroimage 57 2011 15 18
28. A.K. Hoang Duc, M. Modat, K.K. Leung, M.J. Cardoso, J. Barnes, T. Kadir, and et al. Using manifold learning for atlas selection in multi-atlas segmentation PLoS One 8 2013 e70059
29. M. Jorge Cardoso, K. Leung, M. Modat, S. Keihaninejad, D. Cash, J. Barnes, and et al. STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation Med Image Anal 17 2013 671 684
30. K.K. Leung, J. Barnes, M. Modat, G.R. Ridgway, J.W. Bartlett, N.C. Fox, and et al. Brain MAPS: an automated, accurate and robust brain extraction technique using a template library Neuroimage 55 2011 1091 1108
31. K.K. Leung, J. Barnes, G.R. Ridgway, J.W. Bartlett, M.J. Clarkson, K. Macdonald, and et al. Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease Neuroimage 51 2010 1345 1359
32. K.K. Leung, J.W. Bartlett, J. Barnes, E.N. Manning, S. Ourselin, and N.C. Fox Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration Neurology 80 2013 648 654
33. X. Hua, D.P. Hibar, C.R. Ching, C.P. Boyle, P. Rajagopalan, B.A. Gutman, and et al. Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials Neuroimage 66 2013 648 661
34. J.D. Grill, L. Di, P.H. Lu, C. Lee, J. Ringman, L.G. Apostolova, and et al. Estimating sample sizes for predementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative Neurobiol Aging 34 2013 62 72
35. B.A. Gutman, X. Hua, P. Rajagopalan, Y.Y. Chou, Y. Wang, I. Yanovsky, and et al. Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features Neuroimage 70 2013 386 401
36. O. Kohannim, X. Hua, D.P. Hibar, S. Lee, Y.Y. Chou, A.W. Toga, and et al. Boosting power for clinical trials using classifiers based on multiple biomarkers Neurobiol Aging 31 2010 1429 1442
37. J.M. Schott, J.W. Bartlett, J. Barnes, K.K. Leung, S. Ourselin, and N.C. Fox Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment Neurobiol Aging 31 8 2010 1452 1462 1462.e1-2
38. B.T. Wyman, D.J. Harvey, K. Crawford, M.A. Bernstein, O. Carmichael, P.E. Cole, and et al. Standardization of analysis sets for reporting results from ADNI MRI data Alzheimers Dement 9 2013 332 337
39. K.K. Leung, M.J. Clarkson, J.W. Bartlett, S. Clegg, C.R. Jack Jr., M.W. Weiner, and et al. Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection Neuroimage 50 2010 516 523
40. F. Prados, M.J. Cardoso, K.K. Leung, D.M. Cash, M. Modat, N.C. Fox, and et al. Measuring brain atrophy with a generalized formulation of the boundary shift integral Neurobiol Aging 36 Suppl 1 2015 S81 S90
41. S. Salloway, R. Sperling, N.C. Fox, K. Blennow, W. Klunk, M. Raskind, and et al. Two phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer's disease N Engl J Med 370 2014 322 333
42. A.M. Fjell, L. McEvoy, D. Holland, A.M. Dale, and K.B. Walhovd Brain changes in older adults at very low risk for Alzheimer's disease J Neurosci 33 2013 8237 8242
43. A.M. Fjell, L. McEvoy, D. Holland, A.M. Dale, and K.B. Walhovd What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus Prog Neurobiol 117 2014 20 40
44. L.K. McEvoy, S.D. Edland, D. Holland, D.J. Hagler Jr., J.C. Roddey, C. Fennema-Notestine, and et al. Neuroimaging enrichment strategy for secondary prevention trials in Alzheimer disease Alzheimer Dis Assoc Disord 24 2010 269 277
45. D. Holland, L.K. McEvoy, and A.M. Dale Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI Hum Brain Mapp 33 2012 2586 2602
46. J.L. Whitwell, R.C. Petersen, S. Negash, S.D. Weigand, K. Kantarci, R.J. Ivnik, and et al. Patterns of atrophy differ among specific subtypes of mild cognitive impairment Arch Neurol 64 2007 1130 1138
47. P.S. Aisen, R.C. Petersen, M.C. Donohue, A. Gamst, R. Raman, R.G. Thomas, and et al. Clinical Core of the Alzheimer's Disease Neuroimaging Initiative: progress and plans Alzheimers Dement 6 2010 239 246
48. N.H. Stricker, Y.L. Chang, C. Fennema-Notestine, L. Delano-Wood, D.P. Salmon, M.W. Bondi, and et al. Distinct profiles of brain and cognitive changes in the very old with Alzheimer disease Neurology 77 2011 713 721
49. D. Holland, R.S. Desikan, A.M. Dale, and L.K. McEvoy Higher rates of decline for women and apolipoprotein E epsilon4 carriers AJNR Am J Neuroradiol 34 2013 2287 2293
50. D. Holland, L.K. McEvoy, R.S. Desikan, and A.M. Dale Enrichment and stratification for predementia Alzheimer disease clinical trials PLoS One 7 2012 e47739
51. C.R. Jack Jr., H.J. Wiste, P. Vemuri, S.D. Weigand, M.L. Senjem, G. Zeng, and et al. Brain beta-amyloid measure and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease Brain 133 2010 3336 3348
52. G.C. Chiang, P.S. Insel, D. Tosun, N. Schuff, D. Truran-Sacrey, S. Raptentsetsang, and et al. Identifying cognitively healthy elderly individuals with subsequent memory decline by using automated MR temporoparietal volumes Radiology 259 2011 844 851
53. P. Vemuri, H.J. Wiste, S.D. Weigand, L.M. Shaw, J.Q. Trojanowski, M.W. Weiner, and et al. MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change Neurology 73 2009 294 301
54. S.L. Risacher, L. Shen, J.D. West, S. Kim, B.C. McDonald, L.A. Beckett, and et al. Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort Neurobiol Aging 31 2010 1401 1418
55. S.M. Landau, D. Harvey, C.M. Madison, E.M. Reiman, N.L. Foster, P.S. Aisen, and et al. Comparing predictors of conversion and decline in mild cognitive impairment Neurology 75 2010 230 238
56. M. Ewers, C. Walsh, J.Q. Trojanowski, L.M. Shaw, R.C. Petersen, C.R. Jack Jr., and et al. Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance Neurobiol Aging 33 2012 1203 1214
57. M. Lehmann, E.L. Koedam, J. Barnes, J.W. Bartlett, F. Barkhof, M.P. Wattjes, and et al. Visual ratings of atrophy in MCI: prediction of conversion and relationship with CSF biomarkers Neurobiol Aging 34 2013 73 82
58. D.L. Hill, A.J. Schwarz, M. Isaac, L. Pani, S. Vamvakas, R. Hemmings, and et al. Coalition Against Major Diseases/European Medicines Agency biomarker qualification of hippocampal volume for enrichment of clinical trials in predementia stages of Alzheimer's disease Alzheimers Dement 10 2014 421 429.e3
59. P. Yu, J. Sun, R. Wolz, D. Stephenson, J. Brewer, N.C. Fox, and et al. Operationalizing hippocampal volume as an enrichment biomarker for amnestic mild cognitive impairment trials: effect of algorithm, test-retest variability, and cut point on trial cost, duration, and sample size Neurobiol Aging 35 2014 808 818
60. M. Reuter, H.D. Rosas, and B. Fischl Highly accurate inverse consistent registration: a robust approach Neuroimage 53 2010 1181 1196
61. S.T. Roweis, and L.K. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 2000 2323 2326
62. X. Liu, D. Tosun, M.W. Weiner, and N. Schuff Locally linear embedding (LLE) for MRI based Alzheimer's disease classification Neuroimage 83 2013 148 157
63. N. Schuff, D. Tosun, P.S. Insel, G.C. Chiang, D. Truran, P.S. Aisen, and et al. Nonlinear time course of brain volume loss in cognitively normal and impaired elders Neurobiol Aging 33 2012 845 855
64. K. Kantarci, Y. Xu, M.M. Shiung, P.C. O'Brien, R.H. Cha, G.E. Smith, and et al. Comparative diagnostic utility of different MR modalities in mild cognitive impairment and Alzheimer's disease Dement Geriatr Cogn Disord 14 2002 198 207
65. A.M. Fjell, K.B. Walhovd, C. Fennema-Notestine, L.K. McEvoy, D.J. Hagler, D. Holland, and et al. Brain atrophy in healthy aging is related to CSF levels of Abeta1-42 Cereb Cortex 20 2010 2069 2079
66. D. Heister, J.B. Brewer, S. Magda, K. Blennow, and L.K. McEvoy Predicting MCI outcome with clinically available MRI and CSF biomarkers Neurology 77 2011 1619 1628
67. K.B. Walhovd, A.M. Fjell, J. Brewer, L.K. McEvoy, C. Fennema-Notestine, D.J. Hagler Jr., and et al. Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease AJNR Am J Neuroradiol 31 2010 347 354
68. K.B. Walhovd, A.M. Fjell, A.M. Dale, L.K. McEvoy, J. Brewer, D.S. Karow, and et al. Multi-modal imaging predicts memory performance in normal aging and cognitive decline Neurobiol Aging 31 2010 1107 1121
69. P. Vemuri, H.J. Wiste, S.D. Weigand, L.M. Shaw, J.Q. Trojanowski, M.W. Weiner, and et al. MRI and CSF biomarkers in normal, MCI, and AD subjects: diagnostic discrimination and cognitive correlations Neurology 73 2009 287 293
70. N. Mattsson, P.S. Insel, M. Donohue, S. Landau, W.J. Jagust, L.M. Shaw, and et al. Independent information from cerebrospinal fluid amyloid-beta and florbetapir imaging in Alzheimer's disease Brain 138 Pt 3 2015 772 783
71. R.S. Desikan, L.K. McEvoy, W.K. Thompson, D. Holland, J.B. Brewer, P.S. Aisen, and et al. Amyloid-beta-associated clinical decline occurs only in the presence of elevated P-tau Arch Neurol 69 2012 709 713
72. R.S. Desikan, L.K. McEvoy, W.K. Thompson, D. Holland, J.C. Roddey, K. Blennow, and et al. Amyloid-beta associated volume loss occurs only in the presence of phospho-tau Ann Neurol 70 2011 657 661
73. R.S. Desikan, W.K. Thompson, D. Holland, C.P. Hess, J.B. Brewer, H. Zetterberg, and et al. Heart fatty acid binding protein and Abeta-associated Alzheimer's neurodegeneration Mol Neurodegener 8 2013 39
74. R.S. Desikan, W.K. Thompson, D. Holland, C.P. Hess, J.B. Brewer, H. Zetterberg, and et al. The role of clusterin in amyloid-beta-associated neurodegeneration JAMA Neurol 71 2014 180 187
75. P.S. Insel, N. Mattsson, M.C. Donohue, R.S. Mackin, P.S. Aisen, C.R. Jack Jr., and et al. Alzheimer's Disease Neuroimaging I: the transitional association between beta-amyloid pathology and regional brain atrophy Alzheimers Dement 2014
76. N. Mattsson, P. Insel, M. Donohue, W. Jagust, R.A. Sperling, P.S. Aisen, and et al. Predicting reduction of CSF Aβ42 in cognitively healthy controls JAMA Neurol 72 2015 554 560
77. N. Mattsson, P.S. Insel, R. Nosheny, D. Tosun, J.Q. Trojanowski, L.M. Shaw, and et al. Alzheimer's Disease Neuroimaging I: emerging beta-amyloid pathology and accelerated cortical atrophy JAMA Neurol 71 2014 725 734
78. G.C. Chiang, P.S. Insel, D. Tosun, N. Schuff, D. Truran-Sacrey, S.T. Raptentsetsang, and et al. Impact of apolipoprotein varepsilon4-cerebrospinal fluid beta-amyloid interaction on hippocampal volume loss over 1 year in mild cognitive impairment Alzheimers Dement 7 2011 514 520
79. R.L. Nosheny, P.S. Insel, D. Truran, N. Schuff, C.R. Jack Jr., P.S. Aisen, and et al. Alzheimer's Disease Neuroimaging I: variables associated with hippocampal atrophy rate in normal aging and mild cognitive impairment Neurobiol Aging 36 2015 273 282
80. J.M. Schott, J.W. Bartlett, N.C. Fox, and J. Barnes Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Abeta1-42 Ann Neurol 68 2010 825 834
81. D. Tosun, N. Schuff, L.M. Shaw, J.Q. Trojanowski, and M.W. Weiner Alzheimer's Disease NeuroImaging I: relationship between CSF biomarkers of Alzheimer's disease and rates of regional cortical thinning in ADNI data J Alzheimers Dis 26 Suppl 3 2011 77 90
82. D. Tosun, N. Schuff, D. Truran-Sacrey, L.M. Shaw, J.Q. Trojanowski, P. Aisen, and et al. Relations between brain tissue loss, CSF biomarkers, and the ApoE genetic profile: a longitudinal MRI study Neurobiol Aging 31 2010 1340 1354
83. N. Mattsson, P.S. Insel, P.S. Aisen, W. Jagust, S. Mackin, M. Weiner For the Alzheimer's Disease Neuroimaging Initiative Brain structure and function as mediators of the effects of amyloid on memory Neurology 84 2015 1136 1144
84. N. Mattsson, D. Tosun, P.S. Insel, A. Simonson, C.R. Jack Jr., L.A. Beckett, and et al. Association of brain amyloid-beta with cerebral perfusion and structure in Alzheimer's disease and mild cognitive impairment Brain 137 Pt 5 2014 1550 1561
85. D. Tosun, N. Schuff, C.A. Mathis, W. Jagust, and M.W. Weiner Spatial patterns of brain amyloid-beta burden and atrophy rate associations in mild cognitive impairment Brain 134 Pt 4 2011 1077 1088
86. J.L. Whitwell, H.J. Wiste, S.D. Weigand, W.A. Rocca, D.S. Knopman, R.O. Roberts, and et al. Comparison of imaging biomarkers in the Alzheimer Disease Neuroimaging Initiative and the Mayo Clinic Study of Aging Arch Neurol 69 2012 614 622
87. D. Tosun, S. Joshi, and M.W. Weiner Neuroimaging predictors of brain amyloidosis in mild cognitive impairment Ann Neurol 74 2013 188 198
88. D. Tosun, S. Joshi, M.W. Weiner the Alzheimer's Disease Neuroimaging Initiative Multimodal MRI-based imputation of the Abeta+ in early mild cognitive impairment Ann Clin Transl Neurol 1 2014 160 170
89. A. Raj, E. LoCastro, A. Kuceyeski, D. Tosun, N. Relkin, M. Weiner for the Alzheimer's Disease Neuroimaging Initiative Network diffusion model of progression predicts longitudinal patterns of atrophy and metabolism in Alzheimer's disease Cell Rep 10 2015 359 369
90. R.S. Mackin, P. Insel, D. Tosun, S.G. Mueller, N. Schuff, D. Truran-Sacrey, and et al. The effect of subsyndromal symptoms of depression and white matter lesions on disability for individuals with mild cognitive impairment Am J Geriatr Psychiatry 21 2013 906 914
91. L.G. Apostolova, K.S. Hwang, J.P. Andrawis, A.E. Green, S. Babakchanian, J.H. Morra, and et al. 3D PIB and CSF biomarker associations with hippocampal atrophy in ADNI subjects Neurobiol Aging 31 2010 1284 1303
92. Y.Y. Chou, N. Lepore, P. Saharan, S.K. Madsen, X. Hua, C.R. Jack, and et al. Ventricular maps in 804 ADNI subjects: correlations with CSF biomarkers and clinical decline Neurobiol Aging 31 2010 1386 1400
93. P. Rajagopalan, X. Hua, A.W. Toga, C.R. Jack Jr., M.W. Weiner, and P.M. Thompson Homocysteine effects on brain volumes mapped in 732 elderly individuals Neuroreport 22 2011 391 395
94. P. Rajagopalan, A.W. Toga, C.R. Jack, M.W. Weiner, and P.M. Thompson Fat-mass-related hormone, plasma leptin, predicts brain volumes in the elderly Neuroreport 24 2013 58 62
95. O. Kohannim, X. Hua, P. Rajagopalan, D.P. Hibar, N. Jahanshad, J.D. Grill, and et al. Multilocus genetic profiling to empower drug trials and predict brain atrophy Neuroimage Clin 2 2013 827 835
96. C.R. Jack Jr., D.S. Knopman, W.J. Jagust, L.M. Shaw, P.S. Aisen, M.W. Weiner, and et al. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade Lancet Neurol 9 2010 119 128
97. C.R. Jack Jr., D.S. Knopman, W.J. Jagust, R.C. Petersen, M.W. Weiner, P.S. Aisen, and et al. Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers Lancet Neurol 12 2013 207 216
98. C.R. Jack Jr., P. Vemuri, H.J. Wiste, S.D. Weigand, T.G. Lesnick, V. Lowe, and et al. Shapes of the trajectories of 5 major biomarkers of Alzheimer disease Arch Neurol 69 2012 856 867
99. C.R. Jack Jr., H.J. Wiste, T.G. Lesnick, S.D. Weigand, D.S. Knopman, P. Vemuri, and et al. Brain beta-amyloid load approaches a plateau Neurology 80 2013 890 896
100. R.J. Bateman, C. Xiong, T.L. Benzinger, A.M. Fagan, A. Goate, N.C. Fox, and et al. Clinical and biomarker changes in dominantly inherited Alzheimer's disease N Engl J Med 367 2012 795 804
101. A.M. Fagan, C. Xiong, M.S. Jasielec, R.J. Bateman, A.M. Goate, T.L. Benzinger, and et al. Longitudinal change in CSF biomarkers in autosomal-dominant Alzheimer's disease Sci Transl Med 6 2014 226ra230
102. T.L. Benzinger, T. Blazey, C.R. Jack Jr., R.A. Koeppe, Y. Su, C. Xiong, and et al. Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease Proc Natl Acad Sci U S A 110 2013 E4502 E4509
103. A.S. Fleisher, K. Chen, Y.T. Quiroz, L.J. Jakimovich, M. Gutierrez Gomez, C.M. Langois, and et al. Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study JAMA Neurol 72 2015 316 324
104. C.R. Jack Jr., and D.M. Holtzman Biomarker modeling of Alzheimer's disease Neuron 80 2013 1347 1358
105. B.M. Jedynak, A. Lang, B. Liu, E. Katz, Y. Zhang, B.T. Wyman, and et al. A computational neruodegenerative disease progression score: method and results with the Alzheimer's disease neuroimaging initiative cohort Neuroimage 63 2012 1478 1486
106. A.L. Young, N.P. Oxtoby, P. Daga, D.M. Cash, N.C. Fox, S. Ourselin, and et al. A data-driven model of biomarker changes in sporadic Alzheimer's disease Brain 137 Pt 9 2014 2564 2577
107. A. Caroli, and G.B. Frisoni The dynamics of Alzheimer's disease biomarkers in the Alzheimer's Disease Neuroimaging Initiative cohort Neurobiol Aging 31 2010 1263 1274
108. M.C. Donohue, H. Jacqmin-Gadda, M. Le Goff, R.G. Thomas, R. Raman, A.C. Gamst, and et al. Estimating long-term multivariate progression from short-term data Alzheimers Dement 10 5 Suppl 2014 S400 S410
109. C.R. Jack Jr., P. Vemuri, H.J. Wiste, S.D. Weigand, P.S. Aisen, J.Q. Trojanowski, and et al. Evidence for ordering of Alzheimer disease biomarkers Arch Neurol 68 2011 1526 1535
110. C.R. Jack Jr., H.J. Wiste, D.S. Knopman, P. Vemuri, M.M. Mielke, S.D. Weigand, and et al. Rates of beta-amyloid accumulation are independent of hippocampal neurodegeneration Neurology 82 2014 1605 1612
111. V.L. Villemagne, S. Burnham, P. Bourgeat, B. Brown, K.A. Ellis, O. Salvado, and et al. Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study Lancet Neurol 12 2013 357 367
112. C.R. Jack Jr., H.J. Wiste, S.D. Weigand, D.S. Knopman, V. Lowe, P. Vemuri, and et al. Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity Neurology 81 2013 1732 1740
113. C.R. Jack Jr., H.J. Wiste, S.D. Weigand, W.A. Rocca, D.S. Knopman, M.M. Mielke, and et al. Age-specific population frequencies of cerebral beta-amyloidosis and neurodegeneration among people with normal cognitive function aged 50-89 years: a cross-sectional study Lancet Neurol 13 2014 997 1005
114. C.R. Jack Jr., D.S. Knopman, S.D. Weigand, H.J. Wiste, P. vemuri, V. Lowe, and et al. An operational approach to NIA-AA criteria for preclinical Alzheimer's disease Ann Neurol 71 2012 765 775
115. C.R. Jack Jr., H.J. Wiste, S.D. Weigand, D.S. Knopman, P. Vemuri, M.M. Mielke, and et al. Age, sex, and APOE epsilon4. Effects on memory, brain structure, and beta-amyloid across the adult life span JAMA Neurol 72 2015 511 519
116. B. Dubois, H.H. Feldman, C. Jacova, H. Hampel, J.L. Molinuevo, K. Blennow, and et al. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria Lancet Neurol 13 2014 614 629
117. M.S. Albert, S.T. DeKosky, D. Dickson, B. Dubois, H.H. Feldman, N.C. Fox, and et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging and Alzheimer's Association Workgroup Alzheimers Dement 7 2011 270 279
118. G.M. McKhann, D.S. Knopman, H. Chertkow, B.T. Hyman, C.R. Jack Jr., C.H. Kawas, and et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging and the Alzheimer's Association Workgroup Alzheimers Dement 7 2011 263 269
119. C.R. Jack Jr., M.S. Albert, D.S. Knopman, G.M. McKhann, R.A. Sperling, M. Carillo, and et al. Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement 7 2011 257 262
120. R.A. Sperling, P.S. Aisen, L.A. Beckett, D.A. Bennett, S. Craft, A.M. Fagan, and et al. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement 7 2011 280 292
121. A. Caroli, A. Prestia, S. Galluzzi, C. Ferrari, W.M. van der Flier, R. Ossenkoppele, and et al. Mild cognitive impairment with suspected nonamyloid pathology (SNAP): prediction of progression Neurology 84 2015 508 515
122. R.C. Petersen, P. Aisen, B.F. Boeve, Y.E. Geda, R.J. Ivnik, D.S. Knopman, and et al. Criteria for mild cognitive impairment due to Alzheimer's disease in the community Ann Neurol 74 2 2013 199 208
123. J.B. Toledo, M.W. Weiner, D.A. Wolk, X. Da, K. Chen, S.E. Arnold, and et al. Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition Acta Neuropathol Commun 2 2014 26
124. V.J. Lowe, P.J. Peller, S.D. Weigand, C. Montoya Quintero, N. Tosakulwong, P. Vemuri, and et al. Application of the National Institute on Aging-Alzheimer's Association AD criteria to ADNI Neurology 80 2013 2130 2137
125. D.S. Knopman, C.R. Jack Jr., H.J. Wiste, S.D. Weigand, P. Vemuri, V. Lowe, and et al. Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease Neurology 78 2012 1576 1582
126. S.J. Vos, C. Xiong, P.J. Visser, M.S. Jasielec, J. Hassenstab, E.A. Grant, and et al. Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study Lancet Neurol 12 2013 957 965
127. M. Wirth, S. Villeneuve, C.M. Haase, C.M. Madison, H. Oh, S.M. Landau, and et al. Associations between Alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people JAMA Neurol 70 2013 1512 1519
128. E.C. Mormino, R.A. Betensky, T. Hedden, A.P. Schultz, R.E. Amariglio, D.M. Rentz, and et al. Synergistic effect of beta-amyloid and neurodegeneration on cognitive decline in clinically normal individuals JAMA Neurol 71 2014 1379 1385
129. A.C. van Harten, L.L. Smits, C.E. Teunissen, P.J. Visser, T. Koene, M.A. Blankenstein, and et al. Preclinical AD predicts decline in memory and executive functions in subjective complaints Neurology 81 2013 1409 1416
130. A. Prestia, A. Caroli, W.M. van der Flier, R. Ossenkoppele, B. Van Berckel, F. Barkhof, and et al. Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease Neurology 80 2013 1048 1056
131. E.N. Manning, J. Barnes, D.M. Cash, J.W. Bartlett, K.K. Leung, S. Ourselin, and et al. APOE epsilon4 is associated with disproportionate progressive hippocampal atrophy in AD PLoS One 9 2014 e97608
132. J.L. Stein, X. Hua, J.H. Morra, S. Lee, D.P. Hibar, A.J. Ho, and et al. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease Neuroimage 51 2010 542 554
133. D.P. Hibar, J.L. Stein, O. Kohannim, N. Jahanshad, A.J. Saykin, L. Shen, and et al. Voxelwise gene-wide association study (vGeneWAS): multivariate gene-based association testing in 731 elderly subjects Neuroimage 56 2011 1875 1891
134. A.J. Ho, J.L. Stein, X. Hua, S. Lee, D.P. Hibar, A.D. Leow, and et al. A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly Proc Natl Acad Sci U S A 107 2010 8404 8409
135. J.L. Stein, D.P. Hibar, S.K. Madsen, M. Khamis, K.L. McMahon, G.I. de Zubicaray, and et al. Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N=1198) using genome-wide search Mol Psychiatry 16 2011 927 937 881
136. F.F. Roussotte, N. Jahanshad, D.P. Hibar, E.R. Sowell, O. Kohannim, M. Barysheva, and et al. A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: replication in elderly and young populations Hum Brain Mapp 35 2014 1226 1236
137. P. Rajagopalan, N. Jahanshad, J.L. Stein, X. Hua, S.K. Madsen, O. Kohannim, and et al. Common folate gene variant, MTHFR C677T, is associated with brain structure in two independent cohorts of people with mild cognitive impairment Neuroimage Clin 1 2012 179 187
138. P. Rajagopalan, D.P. Hibar, and P.M. Thompson TREM2 and neurodegenerative disease N Engl J Med 369 2013 1565 1567
139. D.P. Hibar, J.L. Stein, M.E. Renteria, A. Arias-Vasquez, S. Desrivieres, N. Jahanshad, and et al. Common genetic variants influence human subcortical brain structures Nature 520 2015 224 229
140. C.R. Jack Jr., F. Barkhof, M.A. Bernstein, M. Cantillon, P.E. Cole, C. Decarli, and et al. Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease Alzheimers Dement 7 2011 474 485.e4
141. G.B. Frisoni, C.R. Jack, M. Bocchetta, C. Bauer, K.S. Frederiksen, Y. Liu, and et al. The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: evidence of validity Alzheimers Dement 11 2014 111 125
142. M. Boccardi, R. Ganzola, M. Bocchetta, M. Pievani, A. Redolfi, G. Bartzokis, and et al. Survey of protocols for the manual segmentation of the hippocampus: preparatory steps towards a joint EADC-ADNI harmonized protocol J Alzheimers Dis 26 Suppl 3 2011 61 75
143. M. Bocchetta, M. Boccardi, R. Ganzola, L.G. Apostolova, G. Preboske, D. Wolf, and et al. Harmonized benchmark labels of the hippocampus on magnetic resonance: the EADC-ADNI project Alzheimers Dement 11 2014 151 160.e5
144. J.A. Schneider, Z. Arvanitakis, W. Bang, and D.A. Bennett Mixed brain pathologies account for most dementia cases in community-dwelling older persons Neurology 69 2007 2197 2204
145. C. Schwarz, E. Fletcher, C. DeCarli, and O. Carmichael Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIR Inf Process Med Imaging 21 2009 239 251
146. O. Carmichael, C. Schwarz, D. Drucker, E. Fletcher, D. Harvey, L. Beckett, and et al. Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative Arch Neurol 67 2010 1370 1378
147. J. Barnes, O.T. Carmichael, K.K. Leung, C. Schwarz, G.R. Ridgway, J.W. Bartlett, and et al. Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls Neurobiol Aging 34 2013 1996 2002
148. T.J. Haight, S.M. Landau, O. Carmichael, C. Schwarz, C. DeCarli, and W.J. Jagust Dissociable effects of Alzheimer disease and white matter hyperintensities on brain metabolism JAMA Neurol 70 2013 1039 1045
149. R.Y. Lo, and W.J. Jagust Vascular burden and Alzheimer disease pathologic progression Neurology 79 2012 1349 1355
150. C. DeCarli Clinically asymptomatic vascular brain injury: a potent cause of cognitive impairment among older individuals J Alzheimers Dis 33 Suppl 1 2013 S417 S426
151. J. Nettiksimmons, L. Beckett, C. Schwarz, O. Carmichael, E. Fletcher, and C. Decarli Subgroup of ADNI normal controls characterized by atrophy and cognitive decline associated with vascular damage Psychol Aging 28 2013 191 201
152. J. Nettiksimmons, C. DeCarli, S. Landau, and L. Beckett Biological heterogeneity in ADNI amnestic mild cognitive impairment Alzheimers Dement 10 5 2014 511 521.e1
153. J. Nettiksimmons, D. Harvey, J. Brewer, O. Carmichael, C. DeCarli, C.R. Jack Jr., and et al. Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline Neurobiol Aging 31 2010 1419 1428
154. J.C. Morris, M. Storandt, J.P. Miller, D.W. McKeel, J.L. Price, E.H. Rubin, and et al. Mild cognitive impairment represents early-stage Alzheimer disease Arch Neurol 58 2001 397 405
155. P. Vemuri, S.D. Weigand, S.A. Przybelski, D.S. Knopman, G.E. Smith, J.Q. Trojanowski, and et al. Cognitive reserve and Alzheimer's disease biomarkers are independent determinants of cognition Brain 134 Pt 5 2011 1479 1492
156. R. Sperling, S. Salloway, D.J. Brooks, D. Tampieri, J. Barakos, N.C. Fox, and et al. Amyloid-related imaging abnormalities in patients with Alzheimer's disease treated with bapineuzumab: a retrospective analysis Lancet Neurol 11 2012 241 249
157. S. Salloway, R. Sperling, S. Gilman, N.C. Fox, K. Blennow, M. Raskind, and et al. A phase 2 multiple ascending dose trial of bapineuzumab in mild to moderate Alzheimer disease Neurology 73 2009 2061 2070
158. K. Kantarci, J.L. Gunter, N. Tosakulwong, S.D. Weigand, M.S. Senjem, R.C. Petersen, and et al. Focal hemosiderin deposits and beta-amyloid load in the ADNI cohort Alzheimers Dement 9 5 Suppl 2013 S116 S123
159. D. Tosun, N. Schuff, and M. Weiner An integrated multimodality MR brain imaging study: gray matter tissue loss mediates the association between cerebral hypoperfusion and Alzheimer's disease Conf Proc IEEE Eng Med Biol Soc 2009 2009 6981 6984
160. D. Tosun, P. Mojabi, M.W. Weiner, and N. Schuff Joint analysis of structural and perfusion MRI for cognitive assessment and classification of Alzheimer's disease and normal aging Neuroimage 52 2010 186 197
161. ISBI: 2014; Brooklyn, NY, USA; 2014.
162. T.M. Nir, N. Jahanshad, J.E. Villalon-Reina, A.W. Toga, C.R. Jack, M.W. Weiner, and et al. Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging Neuroimage Clin 3 2013 180 195
163. T.M. Nir, N. Jahanshad, A.W. Toga, M.A. Bernstein, C.R. Jack Jr., M.W. Weiner, and et al. Connectivity network measures predict volumetric atrophy in mild cognitive impairment Neurobiol Aging 36 Suppl 1 2015 S113 S120
164. T.M. Nir, J.E. Villalon-Reina, G. Prasad, N. Jahanshad, S.H. Joshi, A.W. Toga, and et al. Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease Neurobiol Aging 36 Suppl 1 2015 S132 S140
165. G. Prasad, S.H. Joshi, T.M. Nir, A.W. Toga, and P.M. Thompson Brain connectivity and novel network measures for Alzheimer's disease classification Neurobiol Aging 36 Suppl 1 2015 S121 S131
166. G. Prasad, T.M. Nir, A.W. Toga, and P.M. Thompson Tractography density and network measures in Alzheimer's disease Proc IEEE Int Symp Biomed Imaging 2013 2013 692 695
167. G. Prasad, S.H. Joshi, T.M. Nir, A.W. Toga, and P.M. Thompson Flow-based network measures of brain connectivity in Alzheimer's disease Proc IEEE Int Symp Biomed Imaging 2013 2013 258 261
168. ISBI: 2015; Brooklyn, NY, USA; 2015.
169. L. Zhan, N. Zhi, Y. Jin, Y. Wang, N. Jahanshad, G. Prasad, and et al. Multiple stages classification of Alzheimer's disease based on structural brain networks using Generalized Low Rank Approximations (GLRAM) MICCAI CDMRI Workshop 2014 Springer Boston, MA, USA
170. M. Daianu, E.L. Dennis, N. Jahanshad, T.M. Nir, A.W. Toga, C.R. Jack Jr., and et al. Disrupted brain connectivity in Alzheimer's disease: effects of network thresholding Computational diffusion MRI and brain connectivity (MICCAI BC Workshop) 2013 199 208 Japan
171. M. Daianu, E.L. Dennis, N. Jahanshad, T.M. Nir, A.W. Toga, C.R. Jack Jr., and et al. Alzheimer's disease disrupts rich club organization in brain connectivity networks Proc IEEE Int Symp Biomed Imaging 2013 266 269
172. M. Daianu, N. Jahanshad, T.M. Nir, A.W. Toga, C.R. Jack Jr., M.W. Weiner, and et al. Breakdown of brain connectivity between normal aging and Alzheimer's disease: a structural k-core network analysis Brain Connect 3 2013 407 422
173. M. Daianu, N. Jahanshad, T.M. Nir, C.D. Leonardo, C.R. Jack Jr., M. Weiner, and et al. Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer's disease MICCAI CDMRI 2014 Springer Boston, MA, USA
174. L. Zhan, M. Bernstein, B.J. Borowski, C.R. Jack Jr., and P. Thompson Evaluation of diffusion imaging protocols for the Alzheimer's Disease Neuroimaging Initiative 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) 2014 IEEE Beijing, China 710 713
175. L. Zhan, N. Jahanshad, Y. Jin, T.M. Nir, C.D. Leonardo, M. Bernstein, and et al. Understanding scanner upgrade effects on brain integrity and connectivity measures 2014 IEEE 11th International Symposium Biomedical Imaging (ISBI) 2014 IEEE Beijing, China 234 237
176. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI): 2014 2014 IEEE Beijing, China 1027 1030
177. N.M. Warstadt, E.L. Dennis, N. Jahanshad, O. Kohannim, T.M. Nir, K.L. McMahon, and et al. Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure Neurobiol Aging 35 2014 2504 2513
178. N. Jahanshad, P. Bhatt, D.P. Hibar, J.E. Villalon-Reina, T.M. Nir, A.W. Toga, and et al. Bivariate genome-wide association study of genetically correlated neuroimaging phenotypes from DTI and MRI through a seemingly unrelated regression model MICCAI 2013 189 201 Nagoya, Japan
179. N. Jahanshad, P. Kochunov, D.C. Glahn, J. Blangero, T.E. Nichols, K.L. McMahon, and et al. Power estimates for voxel-based genetic association studies using diffusion imaging MICCAI 2013 229 238 Nagoya, Japan
180. D.T. Jones, P. Vemuri, M.C. Murphy, J.L. Gunter, M.L. Senjem, M.M. Machulda, and et al. Non-stationarity in the "resting brain's" modular architecture PLoS One 7 2012 e39731