Literature DB >> 26590270

18F-FDG-PET correlates of cognitive impairment in ALS.

Antonio Canosa1, Marco Pagani1, Angelina Cistaro1, Anna Montuschi1, Barbara Iazzolino1, Piercarlo Fania1, Stefania Cammarosano1, Antonio Ilardi1, Cristina Moglia1, Andrea Calvo1, Adriano Chiò2.   

Abstract

OBJECTIVE: To identify the metabolic signature of the various levels of cognitive deficits in amyotrophic lateral sclerosis (ALS) using 18F-2-fluoro-2-deoxy-d-glucose-PET (18F-FDG-PET).
METHODS: A total of 170 ALS cases consecutively enrolled at the ALS Center of Turin underwent brain 18F-FDG-PET and were classified as displaying normal cognition (ALS-Cn; n = 94), full-blown frontotemporal dementia (ALS-FTD; n = 20), executive or nonexecutive cognitive impairment not fulfilling FTD criteria (ALS-Ci; n = 37), prevalent behavioral changes (n = 9), or nonclassifiable impairment (n = 10) according to neuropsychological testing. Group comparisons of 18F-FDG-PET pattern were carried out among the cognitive subgroups.
RESULTS: We found a significantly reduced frontal and prefrontal metabolism in ALS-FTD as compared to ALS-Cn, while ALS-Ci showed an intermediate metabolic behavior in frontal cortex, being hypometabolic as compared to ALS-Cn, and relatively hypermetabolic as compared to ALS-FTD. Hypometabolism in frontal regions was associated in all comparisons to hypermetabolism in cerebellum, midbrain, and corticospinal tracts: the more severe the cognitive decline, the larger the size of the cluster and the statistical significance of 18F-FDG uptake differences.
CONCLUSIONS: This study demonstrated in a large cohort of patients with ALS a continuum of frontal lobe metabolic impairment reflecting the clinical and anatomic continuum ranging from pure ALS, through ALS with intermediate cognitive deficits, to ALS-FTD, and showing that patients with intermediate cognitive impairment display a characteristic metabolic pattern. Since 18F-FDG-PET allows us to estimate the cerebral lesion load in vivo in neurodegenerative diseases, it might be helpful to investigate in ALS its association with neuropsychological testing along the disease course to disclose the early metabolic signature of possible cognitive impairment.
© 2015 American Academy of Neurology.

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Year:  2015        PMID: 26590270     DOI: 10.1212/WNL.0000000000002242

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  23 in total

Review 1.  Positron emission tomography in amyotrophic lateral sclerosis: Towards targeting of molecular pathological hallmarks.

Authors:  Stefanie M A Willekens; Donatienne Van Weehaeghe; Philip Van Damme; Koen Van Laere
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-08       Impact factor: 9.236

2.  Testing the diagnostic accuracy of [18F]FDG-PET in discriminating spinal- and bulbar-onset amyotrophic lateral sclerosis.

Authors:  Arianna Sala; Leonardo Iaccarino; Piercarlo Fania; Emilia G Vanoli; Federico Fallanca; Caterina Pagnini; Chiara Cerami; Andrea Calvo; Antonio Canosa; Marco Pagani; Adriano Chiò; Angelina Cistaro; Daniela Perani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-07       Impact factor: 9.236

Review 3.  Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration.

Authors:  Rangariroyashe H Chipika; Grainne Mulkerrin; Pierre-François Pradat; Aizuri Murad; Fabrice Ango; Cédric Raoul; Peter Bede
Journal:  Neural Regen Res       Date:  2022-11       Impact factor: 6.058

4.  Structural explanation of poor prognosis of amyotrophic lateral sclerosis in the non-demented state.

Authors:  H-J Kim; S-I Oh; M de Leon; X Wang; K-W Oh; J-S Park; A Deshpande; M Buj; S H Kim
Journal:  Eur J Neurol       Date:  2016-10-18       Impact factor: 6.089

5.  Amyloid- and FDG-PET imaging in amyotrophic lateral sclerosis.

Authors:  Jordi A Matías-Guiu; Vanesa Pytel; María Nieves Cabrera-Martín; Lucía Galán; María Valles-Salgado; Antonio Guerrero; Teresa Moreno-Ramos; Jorge Matías-Guiu; José Luis Carreras
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-04       Impact factor: 9.236

Review 6.  Clinical utility of FDG-PET in amyotrophic lateral sclerosis and Huntington's disease.

Authors:  Federica Agosta; Daniele Altomare; Cristina Festari; Stefania Orini; Federica Gandolfo; Marina Boccardi; Javier Arbizu; Femke Bouwman; Alexander Drzezga; Peter Nestor; Flavio Nobili; Zuzana Walker; Marco Pagani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-01       Impact factor: 9.236

Review 7.  Pathophysiology and Treatment of Non-motor Dysfunction in Amyotrophic Lateral Sclerosis.

Authors:  Colin J Mahoney; Rebekah M Ahmed; William Huynh; Sicong Tu; Jonathan D Rohrer; Richard S Bedlack; Orla Hardiman; Matthew C Kiernan
Journal:  CNS Drugs       Date:  2021-05-15       Impact factor: 5.749

Review 8.  Cognitive dysfunction in amyotrophic lateral sclerosis: can we predict it?

Authors:  Fabiola De Marchi; Claudia Carrarini; Antonio De Martino; Luca Diamanti; Antonio Fasano; Antonino Lupica; Mirella Russo; Simone Salemme; Edoardo Gioele Spinelli; Alessandro Bombaci
Journal:  Neurol Sci       Date:  2021-03-27       Impact factor: 3.307

Review 9.  Neuroimaging in aging and neurologic diseases.

Authors:  Shannon L Risacher; Andrew J Saykin
Journal:  Handb Clin Neurol       Date:  2019

10.  Synapse loss in the prefrontal cortex is associated with cognitive decline in amyotrophic lateral sclerosis.

Authors:  Christopher M Henstridge; Dimitrios I Sideris; Emily Carroll; Sanziana Rotariu; Sally Salomonsson; Makis Tzioras; Chris-Anne McKenzie; Colin Smith; Christine A F von Arnim; Albert C Ludolph; Dorothée Lulé; Danielle Leighton; Jon Warner; Elaine Cleary; Judith Newton; Robert Swingler; Siddharthan Chandran; Thomas H Gillingwater; Sharon Abrahams; Tara L Spires-Jones
Journal:  Acta Neuropathol       Date:  2017-12-22       Impact factor: 17.088

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