Literature DB >> 24555884

Distinct patterns of cortical atrophy in ALS patients with or without dementia: an MRI VBM study.

Venkateswaran Rajagopalan1, Erik P Pioro.   

Abstract

Voxel based morphometry (VBM) allows objective and automated detection of structural changes in brains of patients with amyotrophic lateral sclerosis (ALS). We investigated whether VBM could identify cortical atrophy from T1-weighted images obtained during routine 1.5T studies of ALS patients with various clinically defined phenotypes. For this purpose T1-weighted brain MRI was obtained at 1.5T during routine clinical study in neurologic disease controls (n = 15) and ALS patients (n = 88) categorized into four subgroups based on their clinical phenotypes: predominant upper motor neuron (UMN) dysfunction with or without corticospinal tract (CST) hyperintensity (ALS-CST+/-), combined UMN and prominent lower motor neuron (LMN) dysfunction (classic ALS), and frontotemporal dementia (ALS-FTD). VBM analysis of gray matter (GM) was carried out using FSL. Results demonstrated that clinically obtained brain MRI at 1.5T revealed significantly reduced GM volume in brains of only ALS-FTD patients and not of those with predominant UMN dysfunction or classic ALS, compared to neurologic disease controls. In conclusion, GM volume loss in motor and extramotor regions of only ALS patients with FTD and not of ALS patients without FTD suggests distinct sites of predominant pathology and possibly of disease onset. Brain volumetric measures supplemented by histopathological correlations and other neuroimaging techniques, such as diffusion tensor imaging, may provide insight into ALS pathophysiology.

Entities:  

Keywords:  ALS patients; FSL; gray matter; voxel based morphometry

Mesh:

Year:  2014        PMID: 24555884     DOI: 10.3109/21678421.2014.880179

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   4.092


  12 in total

1.  ALFF Value in Right Parahippocampal Gyrus Acts as a Potential Marker Monitoring Amyotrophic Lateral Sclerosis Progression: a Neuropsychological, Voxel-Based Morphometry, and Resting-State Functional MRI Study.

Authors:  Wenjia Zhu; Xiaoling Fu; Fang Cui; Fei Yang; Yuting Ren; Xiaoyun Zhang; Xiaolan Zhang; Zhaohui Chen; Li Ling; Xusheng Huang
Journal:  J Mol Neurosci       Date:  2015-06-04       Impact factor: 3.444

2.  MR Imaging-based Estimation of Upper Motor Neuron Density in Patients with Amyotrophic Lateral Sclerosis: A Feasibility Study.

Authors:  Jacqueline Chen; Volodymyr Kostenko; Erik P Pioro; Bruce D Trapp
Journal:  Radiology       Date:  2018-01-23       Impact factor: 11.105

Review 3.  Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.

Authors:  Esther Verstraete; Bradley R Foerster
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

4.  Brain structural and perfusion changes in amyotrophic lateral sclerosis-frontotemporal dementia patients with cognitive and motor onset: a preliminary study.

Authors:  Yanying Wang; Dongchao Shen; Bo Hou; Xiaohan Sun; Xunzhe Yang; Jing Gao; Mingsheng Liu; Feng Feng; Liying Cui
Journal:  Brain Imaging Behav       Date:  2022-07-15       Impact factor: 3.224

Review 5.  ALS biomarkers for therapy development: State of the field and future directions.

Authors:  Michael Benatar; Kevin Boylan; Andreas Jeromin; Seward B Rutkove; James Berry; Nazem Atassi; Lucie Bruijn
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

6.  Regional prefrontal cortical atrophy predicts specific cognitive-behavioral symptoms in ALS-FTD.

Authors:  Elena Ratti; Kimiko Domoto-Reilly; Christina Caso; Alyssa Murphy; Michael Brickhouse; Daisy Hochberg; Nikos Makris; Merit E Cudkowicz; Bradford C Dickerson
Journal:  Brain Imaging Behav       Date:  2021-02-15       Impact factor: 3.224

Review 7.  What does imaging reveal about the pathology of amyotrophic lateral sclerosis?

Authors:  Martin R Turner; Esther Verstraete
Journal:  Curr Neurol Neurosci Rep       Date:  2015-07       Impact factor: 5.081

8.  Brain Parenchymal Fraction: A Relatively Simple MRI Measure to Clinically Distinguish ALS Phenotypes.

Authors:  Venkateswaran Rajagopalan; Erik P Pioro
Journal:  Biomed Res Int       Date:  2015-12-13       Impact factor: 3.411

9.  Widespread structural brain involvement in ALS is not limited to the C9orf72 repeat expansion.

Authors:  Henk-Jan Westeneng; Renée Walhout; Milou Straathof; Ruben Schmidt; Jeroen Hendrikse; Jan H Veldink; Martijn P van den Heuvel; Leonard H van den Berg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2016-10-18       Impact factor: 10.154

10.  Multimodal longitudinal study of structural brain involvement in amyotrophic lateral sclerosis.

Authors:  Hannelore K van der Burgh; Henk-Jan Westeneng; Renée Walhout; Kevin van Veenhuijzen; Harold H G Tan; Jil M Meier; Leonhard A Bakker; Jeroen Hendrikse; Michael A van Es; Jan H Veldink; Martijn P van den Heuvel; Leonard H van den Berg
Journal:  Neurology       Date:  2020-05-15       Impact factor: 9.910

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