BackgroundAvailable criteria for cognitive phenotypes in multiple sclerosis (MS) do not consider the severity of impairment.ObjectivesTo identify cognitive phenotypes with varying degrees of impairment in MS patients and describe their demographic, clinical and MRI characteristics.MethodsTwo hundred and forty-three MS patients and 158 healthy controls underwent neuropsychological tests to assess memory, attention, and executive function. For each domain, mild impairment was defined as performing 1.5 standard deviations below the normative mean on two tests, while the threshold for significant impairment was 2 standard deviations. Patients were classified into cognitive phenotypes based on severity of the impairment (mild/significant) and number of domains affected (one/more).ResultsFive cognitive phenotypes emerged: Preserved cognition (PC; 56%), Mild Single-Domain Impairment (MSD; 15%), Mild Multi-Domain Impairment (MMD; 9%), Significant Single-Domain Impairment (SSD; 12%), Significant Multi-Domain Impairment (SMD; 8%). Compared with PC, MSD patients were older, had longer disease duration (DD) and higher T2-hyperintense lesion volume (LV; all p <= 0.02); MMD patients were older, had longer DD, higher disability, higher T2 LV and lower thalamic volume (all p <= 0.01); SSD patients had longer DD and lower gray matter cortical volume, thalamic, caudate, putamen and accumbens volumes (all p <= 0.04); and SMD patients were older, had longer DD, higher disability and more extensive structural damage in all brain regions explored (all p <= 0.03), except white matter and amygdala volumes.ConclusionsWe identified five cognitive phenotypes with graded levels of impairment. These phenotypes were characterized by distinct demographic, clinical and MRI features, indicating potential variations in the neural substrates of dysfunction throughout disease stages.

Cognitive phenotypes in multiple sclerosis: mapping the spectrum of impairment / Mistri, D; Tedone, N; Biondi, D; Vizzino, C; Pagani, E; Rocca, Ma; Filippi, M. - In: JOURNAL OF NEUROLOGY. - ISSN 0340-5354. - 271:4(2024), pp. 1571-1583. [10.1007/s00415-023-12102-5]

Cognitive phenotypes in multiple sclerosis: mapping the spectrum of impairment

Mistri, D
Primo
;
Tedone, N
Secondo
;
Vizzino, C;Rocca, MA
Penultimo
;
Filippi, M
Ultimo
2024-01-01

Abstract

BackgroundAvailable criteria for cognitive phenotypes in multiple sclerosis (MS) do not consider the severity of impairment.ObjectivesTo identify cognitive phenotypes with varying degrees of impairment in MS patients and describe their demographic, clinical and MRI characteristics.MethodsTwo hundred and forty-three MS patients and 158 healthy controls underwent neuropsychological tests to assess memory, attention, and executive function. For each domain, mild impairment was defined as performing 1.5 standard deviations below the normative mean on two tests, while the threshold for significant impairment was 2 standard deviations. Patients were classified into cognitive phenotypes based on severity of the impairment (mild/significant) and number of domains affected (one/more).ResultsFive cognitive phenotypes emerged: Preserved cognition (PC; 56%), Mild Single-Domain Impairment (MSD; 15%), Mild Multi-Domain Impairment (MMD; 9%), Significant Single-Domain Impairment (SSD; 12%), Significant Multi-Domain Impairment (SMD; 8%). Compared with PC, MSD patients were older, had longer disease duration (DD) and higher T2-hyperintense lesion volume (LV; all p <= 0.02); MMD patients were older, had longer DD, higher disability, higher T2 LV and lower thalamic volume (all p <= 0.01); SSD patients had longer DD and lower gray matter cortical volume, thalamic, caudate, putamen and accumbens volumes (all p <= 0.04); and SMD patients were older, had longer DD, higher disability and more extensive structural damage in all brain regions explored (all p <= 0.03), except white matter and amygdala volumes.ConclusionsWe identified five cognitive phenotypes with graded levels of impairment. These phenotypes were characterized by distinct demographic, clinical and MRI features, indicating potential variations in the neural substrates of dysfunction throughout disease stages.
2024
Cognitive dysfunction
Multiple sclerosis
Magnetic resonance imaging
Cognitive phenotypes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/153880
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