Fractional anisotropy changes in Alzheimer's disease depend on the underlying fiber tract architecture: A multiparametric DTI study using joint independent component analysis

Journal of Alzheimer's Disease

Volumn 41, Issue 1, 2014, Pages 69-83

  Teipel, Stefan J ^a,b   Grothe, Michel J ^a   Filippi, Massimo ^c   Fellgiebel, Andreas ^d   Dyrba, Martin ^b   Frisoni, Giovanni B ^e   Meindl, Thomas ^f   Bokde, Arun L W ^g,h   Hampel, Harald ⁱ   Klöppel, Stefan ^j   Hauenstein, Karlheinz ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

^c VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

^d UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^e UNIVERSITY OF GENOA   (Italy)

^f LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^g TRINITY COLLEGE DUBLIN   (Ireland)

^h TRINITY COLLEGE DUBLIN   (Ireland)

ⁱ GOETHE UNIVERSITY   (Germany)

^j UNIVERSITY OF FREIBURG   (Germany)

more..

Author keywords

Crossing fibers; diffusion spectrum imaging; diffusion tensor imaging; early diagnosis; fractional anisotropy; mode of anisotropy; predementia Alzheimer's disease

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; CEREBROSPINAL FLUID ANALYSIS; CONTROLLED STUDY; DEMENTIA; DIFFUSION TENSOR IMAGING; DISEASE MARKER; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NERVE FIBER; PRIORITY JOURNAL; PYRAMIDAL TRACT; WHITE MATTER; ANISOTROPY; AXON; BRAIN; CLINICAL TRIAL; DIFFUSION WEIGHTED IMAGING; DISEASE COURSE; EARLY DIAGNOSIS; EUROPE; IMAGE PROCESSING; MULTICENTER STUDY; MYELINATED NERVE; NERVE DEGENERATION; PATHOLOGY; PROCEDURES;

AGED; ALZHEIMER DISEASE; ANISOTROPY; AXONS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; DISEASE PROGRESSION; EARLY DIAGNOSIS; EUROPE; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MILD COGNITIVE IMPAIRMENT; NERVE DEGENERATION; NERVE FIBERS, MYELINATED; PYRAMIDAL TRACTS; WHITE MATTER;

EID: 84902250364     PISSN: 13872877     EISSN: 18758908     Source Type: Journal    
DOI: 10.3233/JAD-131829     Document Type: Article

References (54)

1. Morrison JH, Scherr S, Lewis DA, Campbell MJ, Bloom FE (1986) The laminar and regional distribution of neo-cortical somatostatin and neuritic plaques: Implications for Alzheimer's disease as a global neocortical disconnection syndrome In The Biological Substrates of Alzheimer's Disease, Scheibel AB, Weschler AF, eds. Academic Press, New York, NY, pp. 115-131.
2. Mufson EJ, Binder L, Counts SE, DeKosky ST, de Toledo-Morrell L, Ginsberg SD, Ikonomovic MD, Perez SE, Scheff SW (2012) Mild cognitive impairment: Pathology and mechanisms. Acta Neuropathol 123, 13-30.
3. Li C, Wang J, Gui L, Zheng J, Liu C, Du H (2011) Alterations of whole-brain cortical area and thickness in mild cognitive impairment and Alzheimer's disease. J Alzheimers Dis 27, 281-290.
4. Lerch JP, Pruessner JC, Zijdenbos A, Hampel H, Teipel SJ, Evans AC (2005) Focal decline of cortical thickness in Alzheimer's disease identified by computational neu-roanatomy. Cereb Cortex 15, 995-1001.
5. Busatto GF, Garrido GE, Almeida OP, Castro CC, Camargo CH, Cid CG, Buchpiguel CA, Furuie S, Bottino CM (2003) A voxel-based morphometry study of temporal lobe gray matter reductions in Alzheimer's disease. Neurobiol Aging 24, 221-231.
6. Teipel SJ, Born C, Ewers M, Bokde AL, Reiser MF, Moller HJ, Hampel H (2007) Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment. Neuroimage 38, 13-24.
7. Bobinski M, de Leon MJ, Wegiel J, Desanti S, Convit A, Saint Louis LA, Rusinek H, Wisniewski HM (2000) The histological validation of post mortem magnetic resonance imaging-determined hippocampal volumein Alzheimer's disease. Neuroscience 95, 721-725.
8. Teipel SJ, Grothe M, Lista S, Toschi N, Garaci FG, Hampel H (2013) Relevance of magnetic resonance imaging for early detection and diagnosisofAlzheimer disease. Med Clin North Am 97, 399-424.
9. Petersen RC (2004) Mild cognitive impairmentasadiagnostic entity. J Intern Med 256, 183-194.
10. Stahl R, Dietrich O, Teipel SJ, Hampel H, Reiser MF, Schoenberg SO (2007) White matter damage in Alzheimer disease and mild cognitive impairment: Assessment with diffusion-tensor MR imaging and parallel imaging techniques. Radiology 243, 483-492.
11. Fellgiebel A, Yakushev I (2011) Diffusion tensor imaging of the hippocampus in MCI and early Alzheimer's disease. J Alzheimers Dis 26 (Suppl 3), 257-262.
12. Rose SE, Chen F, Chalk JB, Zelaya FO, Strugnell WE, Benson M, Semple J, Doddrell DM (2000) Loss of connectivity in Alzheimer's disease: An evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging. J Neurol Neurosurg Psychiatry 69, 528-530.
13. Muller MJ, Greverus D, Weibrich C, Dellani PR, Scheurich A, Stoeter P, Fellgiebel A (2007) Diagnostic utility of hippocam-pal size and mean diffusivity in amnestic MCI. Neurobiol Aging 28, 398-403.
14. Teipel SJ, Stahl R, Dietrich O, Schoenberg SO, Perneczky R, Bokde AL, Reiser MF, Moller HJ, Hampel H (2007) Multi-variate network analysis of fiber tract integrity in Alzheimer's disease. Neuroimage 34, 985-995.
15. Douaud G, Jbabdi S, Behrens TE, Menke RA, Gass A, Monsch AU, Rao A, Whitcher B, Kindlmann G, Matthews PM, Smith S (2011) DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease. Neuroimage 55, 880-890.
16. Ennis DB, Kindlmann G (2006) Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magn Reson Med 55, 136-146.
17. Calhoun VD, Liu J, Adali T (2008) A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. Neuroimage 45 (1 Suppl), S163-S172.
18. Teipel SJ, Bokde AL, Meindl T, Amaro E Jr, Soldner J, Reiser MF, Herpertz SC, Moller HJ, Hampel H (2010) White matter microstructure underlying default mode network connectivity in the human brain. Neuroimage 49, 2021-2032.
19. Stephen JM, Coffman BA, Jung RE, Bustillo JR, Aine CJ, Calhoun VD (2013) Using joint ICA to link function and structure using MEG and DTI in schizophrenia. Neuroimage 83C, 418-430.
20. Sui J, Pearlson G, Caprihan A, Adali T, Kiehl KA, Liu J, Yamamoto J, Calhoun VD (2011) Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. Neuroimage 57, 839-855.
21. Calhoun VD, Adali T (2006) Unmixing fMRI with independent component analysis. IEEE Eng Med Biol Mag 25, 79-90.
22. Teipel SJ, Wegrzyn M, Meindl T, Frisoni G, Bokde AL, Fell-giebel A, Filippi M, Hampel H, Kloppel S, Hauenstein K, Ewers M (2012) Anatomical MRI and DTI in the diagnosis of Alzheimer's disease: A European multicenter study. J Alzheimers Dis 31 (Suppl 3), S33-S47.
23. Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC, Snyder PJ, Carrillo MC, Thies B, Phelps CH (2011) The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 7, 270-279.
24. Teipel SJ, Reuter S, Stieltjes B, Acosta-Cabronero J, Erne-mann U, Fellgiebel A, Filippi M, Frisoni G, Hentschel F, Jessen F, Klöppel S, Meindl T, Pouwels PJW, Hauenstein K, Hampel H (2011) Multicenter stability of diffusion tensor imaging measures: A European clinical and physical phantom study. Psychiatry Res 194, 363-371.
25. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM (1984) Clinical diagnosisof Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of the Department of Health and Human Services Task Force on Alzheimer's disease. Neurology 34, 939-944.
26. Morris JC (1993) The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology 43, 2412-2414.
27. Morris JC, Heyman A, Mohs RC, Hughes JP, van Belle G, Fillenbaum G, Mellits ED, Clark C (1989) The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessmentof Alzheimer's disease. Neurology 39, 1159-1165.
28. Reese TG, Heid O, Weisskoff RM, Wedeen VJ (2003) Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 49, 177-182.
29. Teipel SJ, Lerche M, Kilimann I, O'Brien K, Grothe M, Meyer P, Li X, Sänger P, Hauenstein K (2013) Decline of fiber tract integrity over the adult age range-a diffusion spectrum imaging study. J Magn Reson Imaging, doi: 10.1002/jmri.24420; http://onlinelibrary.wiley.com/doi/10.1002/jmri.24420/ abstract
30. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TE, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, Niazy RK, Saunders J, Vickers J, Zhang Y, De Stefano N, Brady JM, Matthews PM (2004) Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23 (Suppl 1), S208-S219.
31. Gaser C, Volz HP, Kiebel S, Riehemann S, Sauer H (1999) Detecting structural changes in whole brain based on nonlinear deformations-application to schizophrenia research. Neuroimage 10, 107-113.
32. Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38, 95-113.
33. Yeh F-C, Wedeen VJ, Tseng W-YI (2010) Generalized Q-sampling imaging. IEEE Trans Med Imaging 27, 1415-1424.
34. Sui J, He H, Pearlson GD, Adali T, Kiehl KA, Yu Q, Clark VP, Castro E, White T, Mueller BA, Ho BC, Andreasen NC, Cal-houn VD (2012) Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. Neuroimage 66C, 119-132.
35. Xu L, Pearlson G, Calhoun VD (2009) Joint source based morphometry identifies linked gray and white matter group differences. Neuroimage 44, 777-789.
36. Dyrba M, Ewers M, Wegrzyn M, Kilimann I, Plant C, Oswald A, Meindl T, Pievani M, Bokde AL, Fellgiebel A, Filippi M, Hampel H, Kloppel S, Hauenstein K, Kirste T, Teipel SJ (2013) Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI data. PLoS One 8, e64925.
37. Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental-state: A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12, 189-198.
38. Oishi K, Faria A, van Zijl PCM, Mori S (2011) MRI Atlas of Human White Matter, Elsevier, London.
39. Mielke MM, Kozauer NA, Chan KC, George M, Toroney J, Zerrate M, Bandeen-Roche K, Wang MC, Vanzijl P, Pekar JJ, Mori S, Lyketsos CG, Albert M (2009) Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease. Neuroimage 46, 47-55.
40. Rose SE, Janke AL, Chalk JB (2008) Gray and white matter changes in Alzheimer's disease: A diffusion tensor imaging study. J Magn Reson Imaging 27, 20-26.
41. Preti MG, Baglio F, Lagana MM, Griffanti L, Nemni R, Clerici M, Bozzali M, Baselli G (2012) Assessing corpus callosum changes in Alzheimer's disease: Comparison between tract-based spatial statistics and atlas-based tractography. PLoS One 7, e35856.
42. Liu Y, Spulber G, Lehtimaki KK, Kononen M, Hallikainen I, Grohn H, Kivipelto M, Hallikainen M, Vanninen R, Soininen H (2011) Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment. Neurobiol Aging 32, 1558-1571.
43. Stricker NH, Schweinsburg BC, Delano-Wood L, Wierenga CE, Bangen KJ, Haaland KY, Frank LR, Salmon DP, Bondi MW (2009) Decreased white matter integrity in late-myelinating fiber pathways in Alzheimer's disease supports retrogenesis. Neuroimage 45, 10-16.
44. Di Lazzaro V, Oliviero A, Pilato F, Saturno E, Dileone M, Marra C, Daniele A, Ghirlanda S, Gainotti G, Tonali PA (2004) Motor cortex hyperexcitability to transcranial magnetic stimulation in Alzheimer's disease. J Neurol Neurosurg Psychiatry 75, 555-559.
45. Pennisi G, Ferri R, Lanza G, Cantone M, Pennisi M, Puglisi V, Malaguarnera G, Bella R (2011) Transcranial magnetic stimulation in Alzheimer's disease: A neurophysiological marker of cortical hyperexcitability. J Neural Transm 118, 587-598.
46. Wegrzyn M, Teipel SJ, Oltmann I, Bauer A, Thome J, Gross-mann A, Hauenstein K, Hoppner J (2013) Structural and functional cortical disconnection in Alzheimer's disease: A combined study using diffusion tensor imaging and transcra-nial magnetic stimulation. Psychiatry Res 212, 192-200.
47. List J, Kubke JC, Lindenberg R, Kulzow N, Kerti L, Witte V, Floel A (2013) Relationship between excitability, plasticity and thickness of the motor cortex in older adults. Neuroimage 83C, 809-816.
48. Stefan K, Kunesch E, Cohen LG, Benecke R, Classen J (2000) Induction of plasticity in the human motor cortex by paired associative stimulation. Brain 123 Pt 3, 572-584.
49. Casanova R, Srikanth R, Baer A, Laurienti PJ, Burdette JH, Hayasaka S, Flowers L, Wood F, Maldjian JA (2007) Biological parametric mapping: A statistical toolbox for mul-timodality brain image analysis. Neuroimage 34, 137-143.
50. Biessmann F, Plis S, Meinecke FC, Eichele T, Muller KR (2011) Analysis of multimodal neuroimaging data. IEEE Rev Biomed Eng 4, 26-58.
51. Wheeler-Kingshott CA, Cercignani M (2009) About "axial" and "radial" diffusivities. Magn Reson Med 61, 1255-1260.
52. Fischer FU, Scheurich A, Wegrzyn M, Schermuly I, Bokde AL, Kloppel S, Pouwels PJ, Teipel S, Yakushev I, Fellgiebel A (2012) Automated tractography of the cingulate bundle in Alzheimer's disease: A multicenter DTI study. J Magn Reson Imaging 36, 84-91.
53. Wedeen VJ, Wang RP, Schmahmann JD, Benner T, Tseng WY, Dai G, Pandya DN, Hagmann P, D'Arceuil H, deCrespigny AJ (2008) Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage 41, 1267-1277.
54. Hua K, Zhang J, Wakana S, Jiang H, Li X, Reich DS, Calabresi PA, Pekar JJ, van Zijl PC, Mori S (2008) Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. Neuroimage 39, 336-347.