Literature DB >> 25791072

Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.

Esther Verstraete1, Bradley R Foerster.   

Abstract

Amyotrophic lateral sclerosis (ALS) is characterized by progressive degeneration of upper and lower motor neurons, with variable involvement of extramotor brain regions. Currently, there are no established objective markers of upper motor neuron and extramotor involvement in ALS. Here, we review the potential diagnostic value of advanced neuroimaging techniques that are increasingly being used to study the brain in ALS. First, we discuss the role of different imaging modalities in our increasing understanding of ALS pathogenesis, and their potential to contribute to objective upper motor neuron biomarkers for the disease. Second, we discuss the challenges to be overcome and the required phases of diagnostic test development to translate imaging technology to clinical care. We also present examples of multidimensional imaging approaches to achieve high levels of diagnostic accuracy. Last, we address the role of neuroimaging in clinical therapeutic trials. Advanced neuroimaging techniques will continue to develop and offer significant opportunities to facilitate the development of new effective treatments for ALS.

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Year:  2015        PMID: 25791072      PMCID: PMC4404464          DOI: 10.1007/s13311-015-0347-9

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  120 in total

Review 1.  Clinical neurophysiology of ALS.

Authors:  A Eisen; M Swash
Journal:  Clin Neurophysiol       Date:  2001-12       Impact factor: 3.708

2.  Integration of structural and functional magnetic resonance imaging in amyotrophic lateral sclerosis.

Authors:  Gwenaëlle Douaud; Nicola Filippini; Steven Knight; Kevin Talbot; Martin R Turner
Journal:  Brain       Date:  2011-11-10       Impact factor: 13.501

3.  Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.

Authors:  Martijn P van den Heuvel; René C W Mandl; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

4.  Alterations in regional functional coherence within the sensory-motor network in amyotrophic lateral sclerosis.

Authors:  Fuqing Zhou; Renshi Xu; Emily Dowd; Yufeng Zang; Honghan Gong; Ze Wang
Journal:  Neurosci Lett       Date:  2013-11-22       Impact factor: 3.046

5.  NERVE FIBRE DEGENERATION IN THE BRAIN IN AMYOTROPHIC LATERAL SCLEROSIS.

Authors:  M C Smith
Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-11       Impact factor: 10.154

6.  Diagnostic timelines and delays in diagnosing amyotrophic lateral sclerosis (ALS).

Authors:  Sabrina Paganoni; Eric A Macklin; Alexandra Lee; Alyssa Murphy; Judith Chang; Amanda Zipf; Merit Cudkowicz; Nazem Atassi
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-07-01       Impact factor: 4.092

7.  Assessment of white matter tract damage in patients with amyotrophic lateral sclerosis: a diffusion tensor MR imaging tractography study.

Authors:  F Agosta; E Pagani; M Petrolini; D Caputo; M Perini; A Prelle; F Salvi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

8.  Evaluation of corticospinal tract impairment in the brain of patients with amyotrophic lateral sclerosis by using diffusion tensor imaging acquisition schemes with different numbers of diffusion-weighting directions.

Authors:  Mirco Cosottini; Marco Giannelli; Francesca Vannozzi; Ilaria Pesaresi; Selina Piazza; Gina Belmonte; Gabriele Siciliano
Journal:  J Comput Assist Tomogr       Date:  2010 Sep-Oct       Impact factor: 1.826

9.  Structural MRI reveals cortical thinning in amyotrophic lateral sclerosis.

Authors:  Esther Verstraete; Jan H Veldink; Jeroen Hendrikse; H Jurgen Schelhaas; Martijn P van den Heuvel; Leonard H van den Berg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2011-09-29       Impact factor: 10.154

10.  Automatic classification of MR scans in Alzheimer's disease.

Authors:  Stefan Klöppel; Cynthia M Stonnington; Carlton Chu; Bogdan Draganski; Rachael I Scahill; Jonathan D Rohrer; Nick C Fox; Clifford R Jack; John Ashburner; Richard S J Frackowiak
Journal:  Brain       Date:  2008-01-17       Impact factor: 13.501

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  8 in total

1.  The Spectrum of Motor Neuron Diseases: From Childhood Spinal Muscular Atrophy to Adult Amyotrophic Lateral Sclerosis.

Authors:  Stacey A Sakowski; Eva L Feldman
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

2.  Neurochemical correlates of functional decline in amyotrophic lateral sclerosis.

Authors:  Ian Cheong; Dinesh K Deelchand; Lynn E Eberly; Małgorzata Marjańska; Georgios Manousakis; Gaurav Guliani; David Walk; Gülin Öz
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-11-22       Impact factor: 10.154

3.  Stochastic Rank Aggregation for the Identification of Functional Neuromarkers.

Authors:  Paola Galdi; Michele Fratello; Francesca Trojsi; Antonio Russo; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito
Journal:  Neuroinformatics       Date:  2019-10

4.  EEG functional network topology is associated with disability in patients with amyotrophic lateral sclerosis.

Authors:  Matteo Fraschini; Matteo Demuru; Arjan Hillebrand; Lorenza Cuccu; Silvia Porcu; Francesca Di Stefano; Monica Puligheddu; Gianluca Floris; Giuseppe Borghero; Francesco Marrosu
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

Review 5.  Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis.

Authors:  Andrew W Barritt; Matt C Gabel; Mara Cercignani; P Nigel Leigh
Journal:  Front Neurol       Date:  2018-12-04       Impact factor: 4.003

Review 6.  Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis.

Authors:  Miguel Mazón; Juan Francisco Vázquez Costa; Amadeo Ten-Esteve; Luis Martí-Bonmatí
Journal:  Front Neurosci       Date:  2018-10-25       Impact factor: 4.677

7.  Combinatory Biomarker Use of Cortical Thickness, MUNIX, and ALSFRS-R at Baseline and in Longitudinal Courses of Individual Patients With Amyotrophic Lateral Sclerosis.

Authors:  Anna M Wirth; Andrei Khomenko; Dobri Baldaranov; Ines Kobor; Ohnmar Hsam; Thomas Grimm; Siw Johannesen; Tim-Henrik Bruun; Wilhelm Schulte-Mattler; Mark W Greenlee; Ulrich Bogdahn
Journal:  Front Neurol       Date:  2018-07-30       Impact factor: 4.003

8.  Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis.

Authors:  Xujing Ma; Fengmei Lu; Heng Chen; Caihong Hu; Jiao Wang; Sheng Zhang; Shuqin Zhang; Guiran Yang; Jiuquan Zhang
Journal:  PeerJ       Date:  2020-11-02       Impact factor: 2.984

  8 in total

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