RESUMEN
BACKGROUND AND OBJECTIVES: Chronic inflammation may contribute to cognitive dysfunction and fatigue in patients with multiple sclerosis (MS). Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement have been proposed as markers of chronic inflammation in MS being associated with a more severe disease course. However, their relation with cognitive impairment and fatigue has not been fully explored yet. Here, we investigated the contribution of PRL number and volume and CP enlargement to cognitive impairment and fatigue in patients with MS. METHODS: Brain 3T MRI, neurologic evaluation, and neuropsychological assessment, including the Brief Repeatable Battery of Neuropsychological Tests and Modified Fatigue Impact Scale, were obtained from 129 patients with MS and 73 age-matched and sex-matched healthy controls (HC). PRLs were identified on phase images of susceptibility-weighted imaging, whereas CP volume was quantified using a fully automatic method on brain three-dimensional T1-weighted and fluid-attenuated inversion recovery MRI sequences. Predictors of cognitive impairment and fatigue were identified using random forest. RESULTS: Thirty-six (27.9%) patients with MS were cognitively impaired, and 31/113 (27.4%) patients had fatigue. Fifty-nine (45.7%) patients with MS had ≥1 PRLs (median = 0, interquartile range = 0;2). Compared with HC, patients with MS showed significantly higher T2-hyperintense white matter lesion (WM) volume; lower normalized brain, thalamic, hippocampal, caudate, cortical, and WM volumes; and higher normalized CP volume (p from <0.001 to 0.040). The predictors of cognitive impairment (relative importance) (out-of-bag area under the curve [OOB-AUC] = 0.707) were normalized brain volume (100%), normalized caudate volume (89.1%), normalized CP volume (80.3%), normalized cortical volume (70.3%), number (67.3%) and volume (66.7%) of PRLs, and T2-hyperintense WM lesion volume (64.0%). Normalized CP volume was the only predictor of the presence of fatigue (OOB-AUC = 0.563). DISCUSSION: Chronic inflammation, with higher number and volume of PRLs and enlarged CP, may contribute to cognitive impairment in MS in addition to gray matter atrophy. The contribution of enlarged CP in explaining fatigue supports the relevance of immune-related processes in determining this manifestation independently of disease severity. PRLs and CP enlargement may contribute to the pathophysiology of cognitive impairment and fatigue in MS, and they may represent clinically relevant therapeutic targets to limit the impact of these clinical manifestations in MS.
Asunto(s)
Disfunción Cognitiva , Esclerosis Múltiple , Humanos , Esclerosis Múltiple/complicaciones , Esclerosis Múltiple/diagnóstico por imagen , Esclerosis Múltiple/patología , Plexo Coroideo/diagnóstico por imagen , Plexo Coroideo/patología , Disfunción Cognitiva/etiología , Cognición , Inflamación/complicacionesRESUMEN
BACKGROUND: Available criteria for cognitive phenotypes in multiple sclerosis (MS) do not consider the severity of impairment. OBJECTIVES: To identify cognitive phenotypes with varying degrees of impairment in MS patients and describe their demographic, clinical and MRI characteristics. METHODS: Two 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). RESULTS: Five 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. CONCLUSIONS: We 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.
Asunto(s)
Trastornos del Conocimiento , Disfunción Cognitiva , Esclerosis Múltiple Recurrente-Remitente , Esclerosis Múltiple , Humanos , Encéfalo/patología , Imagen por Resonancia Magnética , Cognición , Pruebas Neuropsicológicas , Atrofia/patologíaRESUMEN
PURPOSE: This study aimed to identify risk factors of postoperative seizure outcome in a consecutive cohort of patients operated on for TSC-related focal epilepsy, by evaluating several presurgical and surgical variables, including also MRI-visible brain abnormalities other than cortical tubers. METHODS: This retrospective study included 51 patients surgically treated for drug-resistant focal epilepsy with a histological diagnosis of cortical tuber and followed for at least 12 months postoperatively. We investigated the association between several potentially explanatory variables and seizure outcome by univariate and multivariate analysis in the whole cohort and in the subgroups of patients with single and multiple tubers, respectively. RESULTS: The median postoperative follow-up was 115 months (IQR 63-168) and 54.9% of patients were in Engel's class I at final control. In the whole cohort, variables independently associated with an unfavorable seizure outcome (Engel's classes II-IV) were: preoperative non-focal interictal EEG (RR 5, CI 2.46-6.39), presence of sub-ependymal nodules (SEN) (RR 3.53, CI 1.71-4.56) and seizure onset before the first year of age (RR 3.56, CI 0.91-6.89). Non-focal interictal EEG was independently associated with an unfavorable outcome also in the subgroup of patients with multiple tubers (RR 4.34, CI 2.23-5.37), while the presence of SEN (p=0.0221) and of extra-central nervous system lesions (p= 0.0152) predicted an unfavorable seizure outcome in patients with a single tuber. CONCLUSION: Surgery represents an effective option for seizure control in patients with TSC-related epilepsy. The identification of preoperative risk factors for seizure outcome could be helpful for optimizing patients' selection for surgery and pre-surgical counseling.