Mild behavioral impairment as a potential marker of predementia risk states in motor neuron diseases.

amyotrophic lateral sclerosis longitudinal cognitive decline mild behavioral impairment motor neuron diseases prodromal dementia

Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
01 2023
Historique:
received: 19 07 2022
accepted: 09 09 2022
pubmed: 24 9 2022
medline: 17 12 2022
entrez: 23 9 2022
Statut: ppublish

Résumé

Mild behavioral impairment (MBI) has been increasingly regarded as the neurobehavioral axis of predementia risk states, but a specific investigation of its detection as a potential marker of prodromal dementia in motor neuron diseases (MNDs) is still lacking. The aims of our study were therefore to explore MBI in MNDs both at onset and over the disease course, and to evaluate its relationship with baseline and longitudinal cognitive features. Sixty MND patients with cognitive/behavioral, mood, and motor examinations were recruited and followed longitudinally for up to 15 months. Associations between baseline MBI symptoms and clinical features were tested using the Spearman correlation coefficient. Based on longitudinal data, relative deltas of variation for each cognitive measure were generated, and linear regression models were then used to evaluate the role of baseline MBI symptoms in predicting longitudinal rates of cognitive decline. At disease onset, the most impaired MBI domain was affective/emotional dysregulation, followed by impulse dyscontrol, apathy, and social inappropriateness. Greater MBI symptoms correlated with more severe baseline motor, cognitive/behavioral, and mood disturbances (p values from <0.001 to 0.05). Longitudinally, the greatest decline was observed in the affective/emotional dysregulation domain, followed by impulse dyscontrol, apathy, and social inappropriateness. Greater MBI symptoms at onset were significant predictors of more severe longitudinal cognitive decline in both amyotrophic lateral sclerosis (ALS)-specific and ALS-nonspecific functions (p values from <0.001 to 0.03). MBI represents a valuable clinical marker of incident cognitive decline in MNDs, and its evaluation has good potential for detecting dementia in its preclinical/prodromal phase.

Sections du résumé

BACKGROUND AND PURPOSE
Mild behavioral impairment (MBI) has been increasingly regarded as the neurobehavioral axis of predementia risk states, but a specific investigation of its detection as a potential marker of prodromal dementia in motor neuron diseases (MNDs) is still lacking. The aims of our study were therefore to explore MBI in MNDs both at onset and over the disease course, and to evaluate its relationship with baseline and longitudinal cognitive features.
METHODS
Sixty MND patients with cognitive/behavioral, mood, and motor examinations were recruited and followed longitudinally for up to 15 months. Associations between baseline MBI symptoms and clinical features were tested using the Spearman correlation coefficient. Based on longitudinal data, relative deltas of variation for each cognitive measure were generated, and linear regression models were then used to evaluate the role of baseline MBI symptoms in predicting longitudinal rates of cognitive decline.
RESULTS
At disease onset, the most impaired MBI domain was affective/emotional dysregulation, followed by impulse dyscontrol, apathy, and social inappropriateness. Greater MBI symptoms correlated with more severe baseline motor, cognitive/behavioral, and mood disturbances (p values from <0.001 to 0.05). Longitudinally, the greatest decline was observed in the affective/emotional dysregulation domain, followed by impulse dyscontrol, apathy, and social inappropriateness. Greater MBI symptoms at onset were significant predictors of more severe longitudinal cognitive decline in both amyotrophic lateral sclerosis (ALS)-specific and ALS-nonspecific functions (p values from <0.001 to 0.03).
CONCLUSIONS
MBI represents a valuable clinical marker of incident cognitive decline in MNDs, and its evaluation has good potential for detecting dementia in its preclinical/prodromal phase.

Identifiants

pubmed: 36148819
doi: 10.1111/ene.15570
pmc: PMC10091712
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

47-56

Informations de copyright

© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

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Auteurs

Pilar M Ferraro (PM)

Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Neurology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Ester Gervino (E)

Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Emiliano De Maria (E)

Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Giuseppe Meo (G)

Neurology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Marta Ponzano (M)

Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Matteo Pardini (M)

Neurology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy.

Alessio Signori (A)

Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Angelo Schenone (A)

Neurology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy.

Luca Roccatagliata (L)

Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Claudia Caponnetto (C)

Neurology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

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