CoChat
Sign Up
Cited by 21Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

DTI studies in patients with Alzheimer’s disease, mild cognitive impairment, or normal cognition with evaluation of the intrinsic background gradients

Open access
Jahng, Geon-Ho, Xu, Songfan, Weiner, Micheal W., Meyerhoff, Dieter J., Park, Seungjoon, Schuff, Norbert·2011·Neuroradiology
DOI 10.1007/s00234-011-0845-3PMC PMC3184226
Open this paper in CoChat — free accountOpen PDF

Abstract

INTRODUCTION: The objective of the study was to explore the impact of the background gradients on diffusion tensor (DT) magnetic resonance imaging (DT-MRI) in patients with Alzheimer's disease (AD), mild cognitive impairment (MCI), or cognitively normal (CN) aging. METHODS: Two DT-MRI sets with positive and negative polarities of the diffusion-sensitizing gradients were obtained in 15 AD patients, 18 MCI patients, and 16 CN control subjects. The maps of mean diffusivity (MD) and fractional anisotropy (FA) were computed separately for positive (p: pMD and pFA) and negative (n: nMD and nFA) polarities, and we computed the geometric mean (gm) of the DT-MRI to obtain the gmFA and gmMD with reducing the background gradient effects. Regional variations were assessed across the groups using one-way analysis of variance. RESULTS: Increased regional gmMD values in the AD subjects, as compared to the regional gmMD values in the MCI and CN subjects, were found primarily in the frontal, limbic, and temporal lobe regions. We also found increased nMD and pMD values in the AD subjects compared to those values in the MCI and CN subjects, including in the temporal lobe and the left limbic parahippocampal gyrus white matter. Results of comparisons among the three methods showed that the left limbic parahippocampal gyrus and right temporal gyrus were the increased MD in the AD patients for all three methods. CONCLUSION: Background gradients affect the DT-MRI measurements in AD patients. Geometric average diffusion measures can be useful to minimize the intrinsic local magnetic susceptibility variations in brain tissue.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00234-011-0845-3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In patients with mild cognitive impairment (MCI), MRI changes include increased MD in white matter and gray matter.

    “These changes include increased MD in WM and GM (Jahng et al., 2011; Gyebnár et al., 2018)”

    From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Jahng et al., 2011

    The Discussion reports higher MD in MCI than in cognitively normal subjects in several specific regions, but it does not establish increases in both white and gray matter. The Results and Discussion state that the overall MCI–normal comparisons found no significant MD differences; the paper’s reported increases in both tissue types primarily concern Alzheimer’s disease, not MCI. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 41

  1. [1]Duan JH Wang HQ Xu J Lin X Chen SQ Kang Z Yao ZB White matter damage of patients with Alzheimer’s disease correlated with the decreased cognitive function Surg Radiol Anat 2006 28 150 156 10.1007/s00276-006-0111-2 16614789 · DOI
  2. [2]Medina D DeToledo-Morrell L Urresta F Gabrieli JD Moseley M Fleischman D Bennett DA Leurgans S Turner DA Stebbins GT White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study Neurobiol Aging 2006 27 663 672 10.1016/j.neurobiolaging.2005.03.026 16005548 · DOI · Paper page
  3. [3]Naggara O Oppenheim C Rieu D Raoux N Rodrigo S Dalla Barba G Meder JF Diffusion tensor imaging in early Alzheimer’s disease Psychiatry Res 2006 146 243 249 10.1016/j.pscychresns.2006.01.005 16520023 · DOI
  4. [4]Rose SE Janke AL Chalk JB Gray and white matter changes in Alzheimer’s disease: a diffusion tensor imaging study J Magn Reson Imaging 2008 27 20 26 10.1002/jmri.21231 18050329 · DOI · Paper page
  5. [5]Stahl R Dietrich O Teipel SJ Hampel H Reiser MF Schoenberg SO White matter damage in Alzheimer disease and mild cognitive impairment: assessment with diffusion-tensor MR imaging and parallel imaging techniques Radiology 2007 243 483 492 10.1148/radiol.2432051714 17456872 · DOI
  6. [6]Zhang Y Schuff N Jahng GH Bayne W Mori S Schad L Mueller S Du AT Kramer JH Yaffe K Chui H Jagust WJ Miller BL Weiner MW Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease Neurology 2007 68 13 19 10.1212/01.wnl.0000250326.77323.01 17200485 PMC1941719 · DOI
  7. [8]Nakata Y Sato N Abe O Shikakura S Arima K Furuta N Uno M Hirai S Masutani Y Ohtomo K Aoki S Diffusion abnormality in posterior cingulate fiber tracts in Alzheimer’s disease: tract-specific analysis Radiat Med 2008 26 466 473 10.1007/s11604-008-0258-3 18975047 · DOI
  8. [9]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 Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease Neuroimage 2009 46 47 55 10.1016/j.neuroimage.2009.01.054 19457371 PMC2688089 · DOI · Paper page
  9. [10]Huang J Friedland RP Auchus AP Diffusion tensor imaging of normal-appearing white matter in mild cognitive impairment and early Alzheimer disease: preliminary evidence of axonal degeneration in the temporal lobe AJNR Am J Neuroradiol 2007 28 1943 1948 10.3174/ajnr.A0700 17905894 PMC2426747 · DOI
  10. [11]Roth AD Ramirez G Alarcon R Von Bernhardi R Oligodendrocytes damage in Alzheimer’s disease: beta amyloid toxicity and inflammation Biol Res 2005 38 381 387 10.4067/S0716-97602005000400011 16579521 · DOI
  11. [12]Schmitz T Chew LJ Cytokines and myelination in the central nervous system Scientific World J 2008 8 1119 1147 PMC2663591 18979053
  12. [13]Bartzokis G Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease Neurobiol Aging 2004 25 5 18 10.1016/j.neurobiolaging.2003.03.001 14675724 · DOI · Paper page
  13. [14]Does MD Zhong J Gore JC In vivo measurement of ADC change due to intravascular susceptibility variation Magn Reson Med 1999 41 236 240 10.1002/(SICI)1522-2594(199902)41:2<236::AID-MRM4>3.0.CO;2-3 10080268 · DOI
  14. [15]Connor JR Menzies SL St Martin SM Mufson EJ A histochemical study of iron, transferrin, and ferritin in Alzheimer’s diseased brains J Neurosci Res 1992 31 75 83 10.1002/jnr.490310111 1613823 · DOI
  15. [16]Smith MA Wehr K Harris PL Siedlak SL Connor JR Perry G Abnormal localization of iron regulatory protein in Alzheimer’s disease Brain Res 1998 788 232 236 10.1016/S0006-8993(98)00002-X 9555030 · DOI · Paper page
  16. [17]Smith MA Harris PL Sayre LM Perry G Iron accumulation in Alzheimer disease is a source of redox-generated free radicals Proc Natl Acad Sci USA 1997 94 9866 9868 10.1073/pnas.94.18.9866 9275217 PMC23283 · DOI
  17. [18]Neeman M Freyer JP Sillerud LO A simple method for obtaining cross-term-free images for diffusion anisotropy studies in NMR microimaging Magn Reson Med 1991 21 138 143 10.1002/mrm.1910210117 1943671 · DOI
  18. [19]Jara H Wehrli FW Determination of background gradients with diffusion MR imaging J Magn Reson Imaging 1994 4 787 797 10.1002/jmri.1880040608 7865938 · DOI
  19. [20]Petersen RC Smith GE Waring SC Ivnik RJ Tangalos EG Kokmen E Mild cognitive impairment: clinical characterization and outcome Arch Neurol 1999 56 303 308 10.1001/archneur.56.3.303 10190820 · DOI · Paper page
  20. [21]Hirsch JG Bock M Essig M Schad LR Comparison of diffusion anisotropy measurements in combination with the flair-technique Magn Reson Imaging 1999 17 705 716 10.1016/S0730-725X(98)00217-3 10372524 · DOI
  21. [22]Reese TG Heid O Weisskoff RM Wedeen VJ Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo Magn Reson Med 2003 49 177 182 10.1002/mrm.10308 12509835 · DOI
  22. [23]Jones DK Horsfield MA Simmons A Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging Magn Reson Med 1999 42 515 525 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q 10467296 · DOI
  23. [24]Ashburner J Friston KJ Nonlinear spatial normalization using basis functions Hum Brain Mapp 1999 7 254 266 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G 10408769 PMC6873340 · DOI
  24. [25]Ashburner J Friston KJ Voxel-based morphometry—the methods Neuroimage 2000 11 805 821 10.1006/nimg.2000.0582 10860804 · DOI · Paper page
  25. [26]Schwartzman A Dougherty RF Taylor JE False discovery rate analysis of brain diffusion direction maps Ann Appl Stat 2008 2 153 175 10.1214/07-AOAS133 PMC8982959 35388313 · DOI
  26. [27]Fellgiebel A Wille P Muller MJ Winterer G Scheurich A Vucurevic G Schmidt LG Stoeter P Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study Dement Geriatr Cogn Disord 2004 18 101 108 10.1159/000077817 15087585 · DOI · Paper page
  27. [28]Price WS Stilbs P Jonsson B Soderman O Macroscopic background gradient and radiation damping effects on high-field PGSE NMR diffusion measurements J Magn Reson 2001 150 49 56 10.1006/jmre.2001.2316 11330983 · DOI
  28. [29]Trudeau JD Dixon WT Hawkins J The effect of inhomogeneous sample susceptibility on measured diffusion anisotropy using NMR imaging J Magn Reson B 1995 108 22 30 10.1006/jmrb.1995.1098 7627433 · DOI
  29. [30]Duh A Mohoric A Stepisnik J Sersa I The elimination of magnetic susceptibility artifacts in the micro-image of liquid-solid interfaces: internal gradient modulation by the CPMG RF train J Magn Reson 2003 160 47 51 10.1016/S1090-7807(02)00111-8 12565048 · DOI
  30. [31]Sorland GH Aksnes D Gjerdaker L A pulsed field gradient spin-echo method for diffusion measurements in the presence of internal gradients J Magn Reson 1999 137 397 401 10.1006/jmre.1998.1670 10089174 · DOI
  31. [32]van Dusschoten D Moonen CT de Jager PA Van As H Unraveling diffusion constants in biological tissue by combining Carr-Purcell-Meiboom-Gill imaging and pulsed field gradient NMR Magn Reson Med 1996 36 907 913 10.1002/mrm.1910360613 8946356 · DOI
  32. [33]Hong DTX Measuring diffusion in inhomogeneous systems in imaging mode using antisymmetric sensitizing gradients J Magn Reson 1992 99 561 570 10.1016/0022-2364(92)90210-X · DOI
  33. [34]Sun PZ Seland JG Cory D Background gradient suppression in pulsed gradient stimulated echo measurements J Magn Reson 2003 161 168 173 10.1016/S1090-7807(02)00199-4 12713966 · DOI
  34. [35]Beaulieu C Allen PS An in vitro evaluation of the effects of local magnetic-susceptibility-induced gradients on anisotropic water diffusion in nerve Magn Reson Med 1996 36 39 44 10.1002/mrm.1910360108 8795018 · DOI
  35. [36]Clark CA Barker GJ Tofts PS An in vivo evaluation of the effects of local magnetic susceptibility-induced gradients on water diffusion measurements in human brain J Magn Reson 1999 141 52 61 10.1006/jmre.1999.1872 10527743 · DOI
  36. [37]Rose SE McMahon KL Janke AL O’Dowd B de Zubicaray G Strudwick MW Chalk JB Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairment J Neurol Neurosurg Psychiatry 2006 77 1122 1128 10.1136/jnnp.2005.074336 16754694 PMC2077533 · DOI
  37. [38]Cho H Yang DW Shon YM Kim BS Kim YI Choi YB Lee KS Shim YS Yoon B Kim W Ahn KJ Abnormal integrity of corticocortical tracts in mild cognitive impairment: a diffusion tensor imaging study J Korean Med Sci 2008 23 477 483 10.3346/jkms.2008.23.3.477 18583886 PMC2526517 · DOI
  38. [39]Teipel SJ Stahl R Dietrich O Schoenberg SO Perneczky R Bokde AL Reiser MF Moller HJ Hampel H Multivariate network analysis of fiber tract integrity in Alzheimer’s disease Neuroimage 2007 34 985 995 10.1016/j.neuroimage.2006.07.047 17166745 · DOI
  39. [40]Stebbins GT Murphy CM Diffusion tensor imaging in Alzheimer’s disease and mild cognitive impairment Behav Neurol 2009 21 39 49 19847044 PMC3010401
  40. [41]Abe O Takao H Gonoi W Sasaki H Murakami M Kabasawa H Kawaguchi H Goto M Yamada H Yamasue H Kasai K Aoki S Ohtomo K Voxel-based analysis of the diffusion tensor Neuroradiology 2010 52 699 710 10.1007/s00234-010-0716-3 20467866 · DOI
  41. [42]Kakeda S Korogi Y The efficacy of a voxel-based morphometry on the analysis of imaging in schizophrenia, temporal lobe epilepsy, and Alzheimer’s disease/mild cognitive impairment: a review Neuroradiology 2010 52 711 721 10.1007/s00234-010-0717-2 20495793 · DOI

Cited by

Sorted by citations

Authors
Jahng, G.-H., Xu, S., Weiner, M. W., Meyerhoff, D. J., Park, S., & Schuff, N.
Affiliations
  • Kyung Hee University (KR)
  • San Francisco VA Medical Center (US)
Corresponding author
Jahng, Geon-Ho
ORCID
Venue
Neuroradiology
Publisher
Springer Science and Business Media LLC
Published
2011-02-22
Volume
53
Issue
10
Pages
749-762
ISSN
  • 0028-3940 (ISSN-L)
  • 1432-1920
DOI
10.1007/s00234-011-0845-3
PMC
PMC3184226
OpenAlex
W1992392664
Cited by
21
References
1
Citations by year
2024: 3 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 2 · 2013: 1 · 2012: 4
FWCI
2.20
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Neuroradiology (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
diffusion tensor imaging, magnetic susceptibility, Alzheimer's disease, mild cognitive impairment, mean diffusivity, fractional anisotropy, parahippocampal gyrus, temporal lobe, white matter
MeSH terms
Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Cognition, Female, Frontal Lobe, Hippocampus, Humans, Image Processing, Computer-Assisted, Male, Temporal Lobe, Case-Control Studies, Diffusion Magnetic Resonance Imaging, Cognitive Dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review