Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Getting new auth cookie, if you see this message a lot, tell someone!
Research ArticleBrain

Cognitive Functions and White Matter Tract Damage in Amyotrophic Lateral Sclerosis: A Diffusion Tensor Tractography Study

L. Sarro, F. Agosta, E. Canu, N. Riva, A. Prelle, M. Copetti, G. Riccitelli, G. Comi and M. Filippi
American Journal of Neuroradiology November 2011, 32 (10) 1866-1872; DOI: https://doi.org/10.3174/ajnr.A2658
L. Sarro
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
F. Agosta
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E. Canu
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
N. Riva
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Prelle
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Copetti
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
G. Riccitelli
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
G. Comi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Filippi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Fig 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 1.

    Correlations between performances at the TMT (part A, part B, and difference between performance times of part B and part A) and FA of the corpus callosum, corticospinal tract, right inferior longitudinal fasciculus, and left inferior fronto-occipital fasciculus in patients with ALS. For illustrative purpose, the left column shows the reconstructions of the WM tracts in a single healthy control (tracts are superimposed onto the mean FA image). The right columns show the scatterplots of the correlations; FA values are reported on the x-axis (β, regression coefficient; partial R2, proportion of variability accounted for by the given DT MR imaging variable); PFDR, P values adjusted for multiple comparisons controlling for the false discovery rate.

Tables

  • Figures
    • View popup
    Table 1:

    Demographic and clinical features of patients with ALS and healthy controls

    Healthy ControlsALS PatientsPa
    N1516
    Age (yr)63 ± 12 (43–77)61 ± 10 (40–74)0.47
    Women (%)8 (53)8 (50)0.85
    Education (yr)12 ± 6 (5–24)9 ± 4 (5–17)0.18
    Disease duration (mo)29 ± 19 (3–84)
    ALSFR-R score33 ± 7 (22–44)
    UL-MRC score54 ± 11 (39–68)
    LL-MRC score33 ± 15 (2–48)
    UMN score13 ± 4 (3–16)
    • Note:—Values are means ± SD (range) or N (percentages); UL-MRC indicates Upper Limb-Medical Research Council; LL-MRC, Lower Limb-Medical Research Council.

    • ↵a Pearson χ2 test or the Mann-Whitney U test, as appropriate.

    • View popup
    Table 2:

    Neuropsychologic and behavioral data of patients with ALS

    Mean ± SD (Range)N of Patients with an Abnormal Performance (%)
    General cognition
        MMSE (cutoff, 24)28.0 ± 2.0 (24–30)0
    Verbal learning
        Rey's words, immediate recall (cutoff, 28.53)43 ± 12 (18–60)0
    Verbal memory
        Rey's words, delayed recall (cutoff, 4.69)10 ± 3 (5–15)0
    Spatial memory
        Rey's figure recall (cutoff, 9.47)15 ± 7 (8–29)2 (12.5)
    Attention and executive functions
        TMT-A (cutoff, 93)44 ± 49 (5–191)1 (6)
        TMT-B (cutoff, 282)75 ± 70 (4–278)0
        TMT-BA (cutoff, 186)32 ± 25 (1–88)0
        Stroop test (cutoff, 36.91)32 ± 18 (11–69)3 (19)
        WCST, global score (cutoff, 90.50)66 ± 29 (20–109)3 (19)
        Phonemic fluency (cutoff, 17)34 ± 12 (14–55)2 (12.5)
        Semantic fluency (cutoff, 25)41 ± 10 (21–59)1 (6)
    Visuospatial abilities
        Rey's figure copy (cutoff, 28.88)26 ± 6 (17–33)5 (31)
    Behavioral functioning
        NPI, global score2 ± 4 (0–12)2 (12.5)a
    • Note:—Scores are corrected for age, gender, and education; MMSE indicates Mini-Mental State Examination; TMT, Trail-Making Test; WCST, Wisconsin Card Sorting Test; NPI, Neuropsychiatric Inventory.

    • Stroop and TMT test scores are expressed in seconds.

    • ↵a NPI total domain score (severity × frequency) ≥3 on at least 2 domains.

    • View popup
    Table 3:

    DT MR imaging metrics of specific WM tracts in patients with ALS and healthy controls

    FAMD (× 10−3 mm2 s−1)radD (× 10−3 mm2 s−1)AxD (× 10−3 mm2 s−1)
    HCALSHCALSHCALSHCALS
    CC0.62 ± 0.030.61 ± 0.030.76 ± 0.040.79 ± 0.05*§0.44 ± 0.040.47 ± 0.05§1.40 ± 0.061.44 ± 0.05
    CSTR0.67 ± 0.030.63 ± 0.04*§#0.71 ± 0.020.75 ± 0.04*§#0.37 ± 0.020.43 ± 0.04**§#1.37 ± 0.071.38 ± 0.05
    L0.67 ± 0.030.63 ± 0.03*§#0.71 ± 0.030.76 ± 0.04*§#0.38 ± 0.020.44 ± 0.05**§#1.37 ± 0.081.39 ± 0.05
    SLFR0.49 ± 0.030.47 ± 0.030.73 ± 0.040.77 ± 0.06*§0.51 ± 0.040.55 ± 0.06*1.15 ± 0.061.20 ± 0.07*§
    L0.49 ± 0.030.48 ± 0.030.74 ± 0.030.77 ± 0.05*§0.52 ± 0.040.55 ± 0.05*§1.18 ± 0.051.21 ± 0.06
    CingulumR0.57 ± 0.040.57 ± 0.030.73 ± 0.030.76 ± 0.05*§0.46 ± 0.040.49 ± 0.051.27 ± 0.061.32 ± 0.06*
    L0.57 ± 0.040.56 ± 0.030.75 ± 0.050.78 ± 0.050.48 ± 0.060.50 ± 0.051.31 ± 0.061.35 ± 0.07
    IFOFR0.55 ± 0.030.54 ± 0.030.80 ± 0.040.82 ± 0.060.52 ± 0.050.55 ± 0.051.34 ± 0.051.38 ± 0.80§
    L0.53 ± 0.040.52 ± 0.020.81 ± 0.050.84 ± 0.060.54 ± 0.050.57 ± 0.051.34 ± 0.061.39 ± 0.083
    ILFR0.46 ± 0.030.45 ± 0.020.81 ± 0.050.84 ± 0.060.60 ± 0.050.62 ± 0.051.23 ± 0.061.27 ± 0.087
    L0.47 ± 0.040.46 ± 0.030.81 ± 0.060.83 ± 0.050.58 ± 0.060.61 ± 0.051.26 ± 0.081.27 ± 0.06
    UncinateR0.43 ± 0.030.42 ± 0.030.79 ± 0.040.83 ± 0.06*§0.59 ± 0.040.63 ± 0.06*§1.20 ± 0.051.25 ± 0.07*§
    L0.41 ± 0.030.42 ± 0.030.82 ± 0.050.86 ± 0.06*§0.62 ± 0.050.65 ± 0.061.20 ± 0.071.29 ± 0.07*§#
    Fornix0.40 ± 0.050.40 ± 0.031.18 ± 0.231.22 ± 0.180.93 ± 0.020.96 ± 0.021.67 ± 0.201.73 ± 0.17
    • Note:—Values are means ± SD; HC indicates healthy controls; radD, radial diffusivity; AxD, axial diffusivity; CC, corpus callosum.

    • ↵* P <0.05 and

    • ↵** P <0.001 in patients with ALS versus HC;

    • ↵§ P < .05 in patients with ALS who scored below the cutoff in at least one cognitive test versus HC, and

    • ↵# P <.05 in patients with ALS with normal cognitive tests versus HC, according to the multivariate linear models adjusted for age (see text for details).

    • View popup
    Table 4:

    Regression coefficients, P values, and goodness of fit measures of the relationships of neuropsychologic test scores with WM tract mean diffusivity and FA values, adjusted for subject age and clinical disability

    Neuropsychologic TestDT MR VariableβPapFDRbPartial R2Overall R2
    TMT-ACC MD0.008.03.130.200.76
    R ILF MD0.007.05.130.180.74
    CC FA−0.013.01.040.250.81
    R CST FA−0.016.02.040.210.78
    L CST FA−0.016.02.040.210.78
    R cingulum FA−0.011.046.070.180.74
    R IFOF FA−0.015.01.040.260.83
    L IFOF FA−0.020.003.020.300.87
    R ILF FA−0.020.003.020.300.86
    L ILF FA−0.015.01.040.240.80
    R uncinate FA−0.015.02.040.220.78
    TMT-BCC MD0.01.04.150.230.70
    CC FA−0.017.01.0510.300.77
    R cingulum FA−0.014.047.070.220.69
    L cingulum FA−0.016.04.070.230.70
    R IFOF FA−0.021.002.010.380.85
    L IFOF FA−0.029<.001.0010.460.93
    R ILF FA−0.023.01.0510.290.76
    R uncinate FA−0.018.03.070.250.72
    TMT-BAR IFOF FA−0.029.01.090.360.72
    L IFOF FA−0.039.004.0490.430.79
    Stroop testCC FA−0.014.03.220.360.41
    R IFOF FA−0.011.048.220.320.37
    R ILF FA−0.018.02.220.410.46
    WCST, global scoreR IFOF MD−0.007.03.110.310.64
    L IFOF MD−0.007.02.110.340.67
    R ILF MD−0.007.03.110.320.65
    L ILF MD−0.008.02.110.350.68
    R IFOF FA0.016.02.320.460.53
    Phonemic fluencyL cingulum FA0.008.01.200.360.47
    Rey's words, immediate recallFornix MD−0.001.04.320.160.67
    Fornix FA0.005.004.0550.270.77
    Rey's words, delayed recallFornix MD−0.002.03.430.500.62
    Rey's figure copyL uncinate FA0.005.04.510.320.73
    • Note:—β, regression coefficient; partial R2, proportion of variability accounted for by the given DT MRI variable; overall R2, proportion of variability accounted for by the full statistical model; TMT, Trail-Making Test; WCST, Wisconsin Card Sorting Test; CC, corpos callosum; CST, corticospinal tract.

    • ↵a P values according to the multivariate linear models, adjusting for subject's age and ALSFRS-r.

    • ↵b P values also were adjusted for multiple comparisons controlling the false discovery rate.

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 32 (10)
American Journal of Neuroradiology
Vol. 32, Issue 10
1 Nov 2011
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Cognitive Functions and White Matter Tract Damage in Amyotrophic Lateral Sclerosis: A Diffusion Tensor Tractography Study
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
L. Sarro, F. Agosta, E. Canu, N. Riva, A. Prelle, M. Copetti, G. Riccitelli, G. Comi, M. Filippi
Cognitive Functions and White Matter Tract Damage in Amyotrophic Lateral Sclerosis: A Diffusion Tensor Tractography Study
American Journal of Neuroradiology Nov 2011, 32 (10) 1866-1872; DOI: 10.3174/ajnr.A2658

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Cognitive Functions and White Matter Tract Damage in Amyotrophic Lateral Sclerosis: A Diffusion Tensor Tractography Study
L. Sarro, F. Agosta, E. Canu, N. Riva, A. Prelle, M. Copetti, G. Riccitelli, G. Comi, M. Filippi
American Journal of Neuroradiology Nov 2011, 32 (10) 1866-1872; DOI: 10.3174/ajnr.A2658
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • Abbreviations
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • MegaTrack: a framework for the anatomically accurate and time-efficient virtual dissection and analysis of large-scale tractography datasets
  • Unraveling Shared Pathways: A Comprehensive Systematic Review of Common Fiber Tracts in Amyotrophic Lateral Sclerosis and Frontotemporal Dementia using Diffusion Tensor Imaging
  • ALS-specific cognitive and behavior changes associated with advancing disease stage in ALS
  • A large-scale multicentre cerebral diffusion tensor imaging study in amyotrophic lateral sclerosis
  • Functional pattern of brain FDG-PET in amyotrophic lateral sclerosis
  • Grey matter correlates of clinical variables in amyotrophic lateral sclerosis (ALS): a neuroimaging study of ALS motor phenotype heterogeneity and cortical focality
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Predictors of Reperfusion in Patients with Acute Ischemic Stroke
  • Enhanced Axonal Metabolism during Early Natalizumab Treatment in Relapsing-Remitting Multiple Sclerosis
  • SWI or T2*: Which MRI Sequence to Use in the Detection of Cerebral Microbleeds? The Karolinska Imaging Dementia Study
Show more Brain

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire