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CC BY-NC-ND 4.0 · Arq Neuropsiquiatr 2017; 75(05): 272-276
DOI: 10.1590/0004-282X20170032
ARTICLES

Usefulness of diffusion tensor imaging in amyotrophic lateral sclerosis: potential biomarker and association with the cognitive profile

Utilidad del tensor de difusión en esclerosis lateral amiotrofica: potencial biomarcador y asociación con el perfil cognitivo
Marcelo Chaves
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Mariela Bettini
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Maria Cecilia Fernandez
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Maria Jose Garcia Basalo
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Juan Ignacio Rojas
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Cristina Besada
2   Hospital Italiano de Buenos Aires, Radiology Department, Buenos Aires City, Argentina.
,
Edgardo Cristiano
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Angel Golimstok
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
,
Marcelo Rugiero
1   Hospital Italiano de Buenos Aires, Neurology Department, Buenos Aires City, Argentina;
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ABSTRACT

The objective of this preliminary study was to correlate diffusion tensor imaging (DTI) alterations with the cognitive profile of patients with amyotrophic lateral sclerosis (ALS).

Methods

This was a case-control study conducted from December 1, 2012 to December 1, 2014. Clinical and demographic data were recorded. A neuropsychological test battery adapted to ALS patients was used. An MRI with DTI was performed in all patients and fractional anisotropy (FA) was analyzed in the white matter using the tract based spatial statistics program.

Results

Twenty-four patients with ALS (15 females, mean age 66.9 + -2.3) and 13 healthy controls (four females, average age 66.9 + - 2) were included. The DTI showed white matter damage in ALS patients vs. healthy controls (p < 0.001).

Discussion

In our preliminary study the alterations of white matter in DTI were significantly associated with cognitive impairment in patients with ALS.

RESUMEN

El objetivo del presente estudio preliminar fue correlacionar alteraciones del Tensor de Difusión (TD) con el perfil cognitivo de pacientes con Esclerosis Lateral Amiotrofica (ELA).

Metodos

Se realizó estudio casos-controles entre el 1 de Diciembre del 2012 hasta el 1 de Diciembre del 2014. Se registraron datos clínicos y demográficos. Se utilizó batería de tests neuropsicológicos adaptada a ELA. Se realizó RMN de cerebro con TD en todos los pacientes, la Fracción de Anisotropía (FA) se analizó en sustancia blanca, utilizando el programa Tract Based Spatial Statistics.

Resultados

Se incluyeron 24 pacientes con ELA (15 mujeres, edad media 66.9 + -2.3) y 13 controles sanos (4 mujeres, edad media 66.9 +-2). El TD mostró daño en sustancia blanca en los pacientes con ELA vs controles (p < 0.001).

Discusión

En nuestro estudio preliminar las alteraciones de sustancia blanca en TD se asociaron significativamente con alteraciones cognitivas en pacientes con ELA.

diffusion tensor imaging - amyotrophic lateral sclerosis - biomarkers
Tensor de difusión - esclerosis lateral amiotrófica - biomarcadores


Publication History

Received: 13 May 2016

Accepted: 22 December 2016

Article published online:
05 September 2023

© 2023. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • References

  • 1 Carvalho M, Swash M. Amyotrophic lateral sclerosis: an update. Curr Opin Neurol. 2011;24(5):497-50. https://doi.org/10.1097/WCO.0b013e32834916a9
  • 2 Ringholz GM, Appel SH, Bradshaw M, Cooke NA, Mosnik DM, Schulz PE. Prevalence and patterns of cognitive impairment in sporadic ALS. Neurology. 2005;65(4):586-90. https://doi.org/10.1212/01.wnl.0000172911.39167.b6
  • 3 Ferrari R, Kapogiannis D, Huey ED, Momeni P. FTD and ALS: a tale of two diseases. Curr Alzheimer Res. 2011;8(3):273-94. https://doi.org/10.2174/156720511795563700
  • 4 Rocha AJ, Maia Júnior AC. Is magnetic resonance imaging a plausible biomarker for upper motor neuron degeneration in amyotrophic lateral sclerosis/primary lateral sclerosis or merely a useful paraclinical tool to exclude mimic syndromes? A critical review of imaging applicability in clinical routine. Arq Neuropsiquiatr. 2012;70(7):532-9. https://doi.org/10.1590/S0004-282X2012000700012
  • 5 Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B. 1994;103(3):247-54. https://doi.org/10.1006/jmrb.1994.1037
  • 6 Ellis CM, Simmons A, Jones DK, Bland J, Dawson JM, Horsfield MA et al. Diffusion tensor MRI assesses corticospinal tract damage in ALS. Neurology. 1999;53(5):1051-8. https://doi.org/10.1212/WNL.53.5.1051
  • 7 Blain CR, Williams VC, Johnston C, Stanton BR, Ganesalingam J, Jarosz JM et al. A longitudinal study of diffusion tensor MRI in ALS. Amyotroph Lateral Scler. 2007;8(6):348-55. https://doi.org/10.1080/17482960701548139
  • 8 Sach M, Winkler G, Glauche V, Liepert J, Heimbach B, Koch MA et al. Diffusion tensor MRI of early upper motor neuron involvement in amyotrophic lateral sclerosis. Brain. 2004;127(2):340-50. https://doi.org/10.1093/brain/awh041
  • 9 Chen Z, Ma L. Grey matter volume changes over the whole brain in amyotrophic lateral sclerosis: a voxel-wise meta-analysis of voxel based morphometry studies. Amyotroph Lateral Scler. 2010;11(6)549-54. https://doi.org/10.3109/17482968.2010.516265
  • 10 Agosta F, Pagani E, Rocca MA, Caputo D, Perini M, Salvi F et al. Voxel-based morphometry study of brain volumetry and diffusivity in amyotrophic lateral sclerosis patients with mild disability. Hum Brain Mapp. 2007;28(12):1430-8. https://doi.org/10.1002/hbm.20364
  • 11 Cosottini M, Giannelli M, Siciliano G, Lazzarotti G, Michelassi MC, Del Corona A et al. Diffusion-tensor MR imaging of corticospinal tract in amyotrophic lateral sclerosis and progressive muscular atrophy. Radiology. 2005;237(1):258-64. https://doi.org/10.1148/radiol.2371041506
  • 12 Brooks BR. El Escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis. Subcommittee on Motor Neuron Diseases/Amyotrophic Lateral Sclerosis of the World Federation of Neurology Research Group on Neuromuscular Diseases and the El Escorial “Clinical limits of amyotrophic lateral sclerosis” workshop contributors. J Neurol Sci. 1994;124 Suppl:96-107. https://doi.org/10.1016/0022-510X(94)90191-0
  • 13 The Amyotrophic Lateral Sclerosis Functional Rating Scale. Assessment of activities of daily living in patients with amyotrophic lateral sclerosis. The ALS CNTF treatment study (ACTS) phase I-II Study Group. Arch Neurol. 1996;53(2):141-7. https://doi.org/10.1001/archneur.1996.00550020045014
  • 14 Mioshi E, Dawson K, Mitchell J, Arnold R, Hodges JR. The Addenbrooke’s Cognitive Examination Revised (ACE-R): a brief cognitive test battery for dementia screening. Int J Geriatr Psychiatry. 2006;21(11):1078-85. https://doi.org/10.1002/gps.1610
  • 15 Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(9):2456-77. https://doi.org/10.1093/brain/awr179
  • 16 McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34(7):939-44. https://doi.org/10.1212/WNL.34.7.939
  • 17 Phukan J, Elamin M, Bede P, Jordan N, Gallagher L, Byrne S et al. The syndrome of cognitive impairment in amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry. 2012;83(1):102-8. https://doi.org/10.1136/jnnp-2011-300188
  • 18 Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17(3):143-55. https://doi.org/10.1002/hbm.10062
  • 19 Abrahams S, Goldstein LH, Suckling J, Ng V, Simmons A, Chitnis X et al. Frontotemporal white matter changes in amyotrophic lateral sclerosis. J Neurol. 2005;252(3):321-31. https://doi.org/10.1007/s00415-005-0646-x
  • 20 Schimrigk SK, Bellenberg B, Schlüter M, Stieltjes B, Drescher R, Rexilius J et al. Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model. AJNR Am J Neuroradiol. 2007;28(4):724-30.
  • 21 Sarro L, Agosta F, Canu E, Riva N, Prelle A, Copetti M et al. Cognitive functions and white matter tract damage in amyotrophic lateral sclerosis: a diffusion tensor tractography study. AJNR Am J Neuroradiol. 2011;32(10):1866-72. https://doi.org/10.3174/ajnr.A2658
  • 22 Agosta F, Ferraro PM, Riva N, Spinelli EG, Chiò A, Canu E et al. Structural brain correlates of cognitive and behavioral impairment in MND. Hum Brain Mapp. 2016;37(4):1614-26. https://doi.org/10.1002/hbm.23124
  • 23 Woolley SC, Strong MJ. Frontotemporal dysfunction and dementia in amyotrophic lateral sclerosis. Neurol Clin. 2015;33(4):787-805. https://doi.org/10.1016/j.ncl.2015.07.011