Open access peer-reviewed Edited Volume

Amyotrophic Lateral Sclerosis - Biomarkers, Prognosis, and Therapy

Denis Larrivee

Loyola University Chicago

Denis Larrivee is a pioneering researcher in global cognition, an international science and research awardee and former Yale fellow, and the editor of three texts on brain-computer interfacing, global cognition in Alzheimer's Disease, and neurostimulation therapy.


Growth Cone Inhibition Astrogliosis C90RF72 Gene Hexanucleotide Expansion FLAIR Imaging Fuzzy Entropy Electromyography Dynactin Variants Micro RNAs AbA Glial Cells Glial Activation ALS Susceptibility Genes SOD1 Gene A4V Mutation

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About the book

Amyotrophic lateral sclerosis (ALS), often termed Lou Gehrig's disease, is a progressive, paralytic disorder characterized by degeneration of motor neurons in the brain and spinal cord, with the eventual involvement of most muscles, including the diaphragm. Death due to respiratory paralysis occurs within three to five years. Often more than a year ensues prior to accurate diagnosis, with delays in treatment having long-term neurological sequelae. Complicating diagnosis is its presentation with such non-specific symptoms as limb weakness, fasciculations, and fatigue, which is mimicked by other motor neuron diseases like primary lateral sclerosis and spinal and bulbar muscular atrophy. New tools and methods are urgently needed to distinguish ALS from mimicks, to assess disease progression, and to guide therapeutic development. These needs have prompted intense research into the identification of biomarkers that can accurately guide diagnosis and therapy, especially in its early stages. Current candidates relate to the three major categories of pathophysiological processes now known to be affected by ALS, cytoskeletal dynamics, protein processing, trafficking, and homeostasis, and inflammatory mechanisms. Spanning the spectrum from protein panels to epigenetics and risk alleles, and including novel neuroimaging approaches that incorporate machine learning and large data analysis, e.g., deep learning convolutional neural nets, these tools promise to identify ALS earlier and to track disease progression and therapeutic efficacy with greater fidelity for improved medical management.

This project will aim to explore the current state of diagnostic advance for ALS, with an eye toward prognosis, therapeutic intervention and medical management.

Publishing process

Book initiated and editor appointed

Date completed: November 24th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

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Deadline Extended: Open for Submissions

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Deadline for full chapters: February 20th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

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Review results due: May 11th 2021

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Expected publication date: July 10th 2021

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About the editor

Denis Larrivee

Loyola University Chicago

Dr. Denis Larrivee is a visiting scholar at the Mind and Brain Institute, University of Navarra Medical School and Loyola University, Chicago. He has held professorships at the Weill Cornell University Medical College, NYC, and Purdue University, Indiana. A former fellow at Yale University\'s Medical School, Dr. Larrivee received the Association for Research in Vision and Ophthalmology\'s first place award for studies on photoreceptor degenerative and developmental mechanisms. He is the editor of Brain Computer Interfacing and an editorial board member of the Annals of Neurology and Neurological Sciences (USA) and EC Neurology (UK). He is also the author of more than eight-five papers and book chapters in such varied journals/venues as Neurology and Neurological Sciences, Journal of Neuroscience, Journal of Religion and Mental Health, and IEEE Xplore. In 2018, he was a finalist for the international Joseph Ratzinger Expanded Reason award sponsored by the Francis Vittorio University of Madrid.

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Book chapters authored 5

Books edited 4

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