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Diffusion tensor MRI changes in gray structures of the frontal-subcortical circuits in amyotrophic lateral sclerosis

Overview of attention for article published in Neurological Sciences, January 2014
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Title
Diffusion tensor MRI changes in gray structures of the frontal-subcortical circuits in amyotrophic lateral sclerosis
Published in
Neurological Sciences, January 2014
DOI 10.1007/s10072-013-1626-z
Pubmed ID
Authors

Gaetano Barbagallo, Giuseppe Nicoletti, Andrea Cherubini, Maria Trotta, Tiziana Tallarico, Carmelina Chiriaco, Rita Nisticò, Dania Salvino, Francesco Bono, Paola Valentino, Aldo Quattrone

Abstract

In this study, we used an automated segmentation of regions of interest and co-registration to diffusion tensor imaging (DTI) images to investigate whether microstructural abnormalities occur in gray structures of the frontal-subcortical circuits in patients with amyotrophic lateral sclerosis (ALS). Twenty-four patients with probable or definite sporadic ALS and 22 healthy controls were enrolled in the study. Thirteen out of 24 ALS patients and all of the control subjects underwent a detailed neuropsychological evaluation. DTI was performed to measure mean diffusivity (MD) and fractional anisotropy in the frontal cortex, caudate, putamen, globus pallidus, thalamus, amygdala and hippocampus. MD values of ALS patients were significantly higher in the frontal cortex (P = 0.023), caudate (P = 0.01), thalamus (P = 0.019), amygdala (P = 0.012) and hippocampus (P = 0.002) compared to controls. MD of these structures significantly correlated to a variable degree with neurological disability and neuropsychological dysfunctions. The increased MD values in several cortical and subcortical gray structures and their correlations with neuropsychological variables substantiate a multisystemic degeneration in ALS and suggest that dysfunctions of frontal-subcortical circuits could play a pivotal role in frontal impairment and behavioral symptoms in ALS patients.

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Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Poland 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 11 23%
Student > Master 9 19%
Student > Doctoral Student 5 10%
Student > Bachelor 2 4%
Other 4 8%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Neuroscience 12 25%
Agricultural and Biological Sciences 3 6%
Psychology 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 6%
Unknown 13 27%