Author Of 3 Presentations
P0615 - Physical disability is related to resting-state network atrophy and altered MEG-based functional network topology in multiple sclerosis. (ID 1350)
Abstract
Background
Clinical disability in multiple sclerosis (MS) is insufficiently explained by structural damage as measured with standard magnetic resonance imaging (MRI) measures. More advanced measures of brain network atrophy and functional network changes might better explain symptoms and clinical deterioration.
Objectives
To investigate the relevance of functional network alterations in addition to network atrophy for explaining physical disability in MS.
Methods
In this cross-sectional study 143 MS patients and 36 healthy control participants underwent resting-state magnetoencephalography (MEG) and structural MRI. Functional connectivity between regions was estimated using the phase lag index, from which the minimum spanning tree (MST) was constructed, representing the backbone of the functional network. The topology of the MST was described using the so-called tree hierarchy (MST-Th). Gray matter (GM) volume was calculated within literature-based resting-state network maps (i.e. visual, sensorimotor, dorsal attention, ventral attention, limbic, fronto-parietal, default mode, deep gray matter, and cerebellar networks). Physical disability was quantified with the Expanded Disability Status Scale (EDSS), Nine Hole Peg Test (9HPT) and Timed 25-Foot Walk Test (TWT). Network atrophy and topology were compared between groups and related to disability.
Results
Atrophy was apparent in all resting-state networks. All volumes correlated positively (p<.001) with EDSS and 9HPT: Spearman’s ρ between .289 and .567, highest correlations for sensorimotor, default mode, fronto-parietal and dorsal attention networks. EDSS correlated negatively with MST-Th in the lower alpha band (α1) (p < 0.008), while 9HPT correlated negatively with MST-Th in the upper and lower alpha, gamma, delta and theta bands (p <0.05), indicating a less efficient network relating to worse disability. TWT was related to atrophy in all networks, but not network topology. Together, MST-Th-α1, age, cerebellar and fronto-parietal atrophy explained 36% of EDSS variance, while 19% of 9HPT variance was explained by deep GM atrophy and MST-Th-α1. Lesion volume had no added significant effect on variance.
Conclusions
These results suggest that more advanced measures of network atrophy and functional network topology can explain a significant degree of disability variance in MS. In addition, mobility scores were not related to network changes, which could imply different underlying pathological substrates compared to those that underlie upper limb dexterity.
P0769 - Saccadic eye movements reflect functional connectivity of the oculomotor brain network in MS patients (ID 1108)
Abstract
Background
Eye movement is controlled by a widespread network of cortical and subcortical areas, the oculomotor brain network, thus accurate measurement of these movements could represent a non-invasive method to reflect (dys)functioning of these interconnected areas. This is especially relevant for diseases in which network disruption is known to represent a key pathological feature, as in multiple sclerosis (MS).
Objectives
To investigate the association between saccadic eye movements and functional connectivity of the oculomotor brain network in patients with MS.
Methods
Subjects were included from the prospective Amsterdam MS cohort. A validated standardized infrared oculography protocol (DEMoNS) was used for quantifying pro-saccades and anti-saccades (reflexive and voluntary saccadic eye movements, respectively). After resting-state magnetoencephalography (MEG) measurement, data pre-processing and beamforming of the MEG data to source space, 73 oculomotor regions of the Brainnetome atlas were included based on previous literature (i.e. the FOcuS atlas). The phase lag index (PLI) was used as a measure of functional connectivity (FC) between all regions within the oculomotor network (and it’s subnetworks) for the six conventional frequency bands. The relationship between saccadic parameters and mean FC was analyzed using multivariate linear regression models adjusted for sex, age and disease type. Effect size modification by sex was additionally investigated.
Results
The 183 included patients with MS showed altered saccadic eye movements compared to the 58 included healthy controls. Regarding pro-saccades, worse saccadic eye movement performance was mainly related to a higher FC in theta and gamma bands and a lower connectivity in alpha and beta bands. Strongest relations with FC were found for peak velocity and the parietal eye field (theta band, β -2.1 E-4, p=0.006), gain and the precuneus (gamma band, β -1.3 E-4, p=0.003) and gain and the inferior frontal eye field (theta band, β -21.0 E-4, p<0.001). For anti-saccades, the strongest associations were found between the proportion of errors and the thalamus (beta band, β 8.0 E-4, p=0.006) and error of the final eye position and the precuneus (theta band, β -6.2 E-4, p=0.004). For female MS patients the proportion of errors was also strongly related to the supplementary eye field (gamma band, β 6.4 E-4, p=0.003) and for male patients the latency of a correct response to the cingulate eye field (delta band, β 5.3 E-4, p=0.006).
Conclusions
Saccadic eye movements were related to altered functional connectivity of fronto-parietal brain regions and the thalamus in patients with MS. Furthermore, there was evidence for a relevant sex difference in patterns of functional damage of the oculomotor brain network. This network approach provides an additional backing for the future use of eye movement measurement as an easy applicable tool for monitoring or predicting the disease MS.
P0792 - Cerebrospinal fluid amyloid-β as potential biomarker for cognitive functioning in multiple sclerosis. (ID 1698)
Abstract
Background
Cognitive dysfunction occurs in 40-65% of the people with MS (PwMS), which has been related to grey matter (GM) and thalamic atrophy. Whether biomarkers specific to Alzheimer’s disease (AD, i.e. amyloid beta (Aβ42), total Tau, phosphorylated Tau (ptau-181)) are also involved in cognitive dysfunction in MS is not fully elucidated yet.
Objectives
To identify biomarkers in the cerebrospinal fluid (CSF) that are associated with cognition in MS and determine its relation with brain volume.
Methods
In total 62 PwMS visiting the Second Opinion MS and Cognition Outpatient Clinic (41 females; mean age: 47.10±9.30; mean disease duration: 12.65±9.07) underwent lumbar puncture, brain MRI, neurological (EDSS) and neuropsychological examination (MACFIMS). PwMS were classified as cognitively impaired (CI) with 20% of the cognitive test scores of ≤-1.5 SD compared to normative scores. Aβ42 (pg/ml), total tau (pg/ml), ptau-181 (pg/ml), the ratio of ptau-181:Aβ42 and total proteins (mg/l) were measured using Elecsys immunoassays on the Cobas System. FSL’s SIENAX and FIRST were used to calculate brain volumes (white matter volume, GM volume (GMV), thalamus volume and lesion load). Differences between cognitively preserved (CP) and CI patients were calculated as were correlations between CSF biomarkers and brain volumes.
Results
Demographic and MS-specific characteristics were not different between CP and CI patients. Aβ42 was below the clinical cut-off (<1000pg/ml) in 13/35 CI patients compared to 2/25 CP patients (37% and 8% respectively, P=.013). The chance of being CI was 6.5 times higher if Aβ42 was below this cut-off (odds-ratio; 95% CI [1.3 – 32.3]). On a group level, a trend towards lowered Aβ42 was found in CI compared to CP patients (1264.20±478.63 versus 1490.79±384.37 pg/ml; P=.059), albeit within the normal range. No differences were found for the other CSF markers. CI patients had lower GMV (P=.002) and thalamic volume (P=.011), compared to CP patients. Only in CP patients, thalamus volume correlated with Aβ42 (r=.475, P=.019). No other correlations were found between Aβ42 and brain volumes.
Conclusions
Aβ42 levels below the clinical cut-off was seen more often in CI patients, as were a lower GMV and lower thalamic volume compared to CP patients. Only in CP patients Aβ42 and thalamic volume were correlated, which disappeared in the more advanced disease stage (CI), comparable to findings in mild cognitive impairment and AD. The specificity of Aβ42 pathology in relation to cognition in MS needs further investigation.