Different cortical underpinnings for fatigue and depression in MS?

Hanken, Katrin; Eling, Paul; Klein, Jan; Klaene, Esther; Hildebrandt, Helmut

doi:10.1016/j.msard.2016.02.005

Cited by 28 publications

(30 citation statements)

References 33 publications

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“…One third of the participants in our study had both fatigue and depression, in line with other studies of MS patients (8). It is important to underline, that in this study, as in most MS papers, depressive symptoms are evaluated by self-reported psychometric scales, and no formal diagnosis of depressive mood disorder has been made (5).…”

Section: Discussionsupporting

confidence: 91%

“…The symptoms presenting in MS patients vary between individuals and is assumed to result primarily from demyelination and microscopic CNS tissue damage (3). Structural MRI studies have found diverse patterns of cortical thickness to be associated with different MS symptoms (8). Our results show correlation between DMN functional connectivity and FSS and BDI scores in MS, which support and further adds to previous knowledge.…”

Section: Discussionmentioning

confidence: 99%

“…Structural MRI studies have shown different patterns of cortical thickness in MS patients who have either fatigue, depression both depression and fatigue. However, these cortical underpinnings only explained 17.3 % of the total variance of the neuropsychiatric symptoms (8). Diverse results are reported concerning the presence and severity of fatigue in relation structural MRI findings in MS (lesions, normal appearing white matter damage or grey matter damage) (3).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, there is evidence of altered DMN connectivity in MS patients with symptoms of both depression and fatigue. Although related, these symptoms do not always co-occur, and little is known about the different patterns of DMN alterations with different symptom burden (8). On this background, we aimed to study the common and differential associations between symptoms of fatigue and depression and DMN connectivity using rs-fMRI in MS.…”

Section: Introductionmentioning

confidence: 99%

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Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

Høgestøl

Nygaard

Alnæs

et al. 2018

Preprint

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Background: Fatigue and depression are frequent and often co-occurring symptoms in multiple sclerosis (MS). Resting-state functional magnetic resonance imaging (rs-fMRI) represents a promising tool for disentangling differential associations between depression and fatigue and brain network function and connectivity. In this study we tested for associations between symptoms of fatigue and depression and DMN connectivity in patients with MS. Materials and methods: Seventy-four MS patients were included on average 14 months after diagnosis. They underwent MRI scanning of the brain including rs-fMRI, and symptoms of fatigue and depression were assessed with Fatigue Severity Scale (FSS) and Beck Depression Inventory II (BDI). A principal component analysis (PCA) on FSS and BDI scores was performed, and the component scores were analysed using linear regression models to test for associations with default mode network (DMN) connectivity. Results: We observed higher DMN connectivity with higher scores on the primary principal component reflecting common symptom burden for fatigue and depression (Cohen's f2=0.075, t=2.17, p=0.03). The secondary principal component reflecting a pattern of low fatigue scores with high scores of depression was associated with lower DMN connectivity (Cohen's f2=0.067, t=-2.1, p=0.04). Using continuous mean scores of FSS we also observed higher DMN connectivity with higher symptom burden (t=3.1, p=0.003), but no significant associations between continuous sum scores of BDI and DMN connectivity (t=0.8, p=0.4). Conclusion: Multivariate decomposition of FSS and BDI data supported both overlapping and unique manifestation of fatigue and depression in MS patients. Rs-fMRI analyses showed that symptoms of fatigue and depression was reflected in altered DMN connectivity, and that higher DMN activity was seen in MS patients with fatigue even with low depression scores.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

Høgestøl

Nygaard

Alnæs

et al. 2018

Preprint

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“…Rocca et al reported significant atrophy in the right inferior temporal gyrus in pure MS fatigue patients compared to a healthy control group, using voxel-based morphometry [ 31 ]. Hanken et al described cortical thinning in the right middle temporal lobe in a subgroup of patients with both fatigue and depression [ 34 ]. Bisecco et al reported decreased FA and increased RD in the left superior longitudinal fasciculus (SLF) in a fatigued MS group.…”

Section: Discussionmentioning

confidence: 99%

Structural and Neuronal Integrity Measures of Fatigue Severity in Multiple Sclerosis

Bernitsas

Yarraguntla²,

Bao³

et al. 2017

Brain Sciences

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Fatigue is a common and disabling symptom in Multiple Sclerosis (MS). However, consistent neuroimaging correlates of its severity are not fully elucidated. In this article, we study the neuronal correlates of fatigue severity in MS. Forty-three Relapsing Remitting MS (RRMS) patients with MS-related fatigue (Fatigue Severity Scale (FSS) range: 1–7) and Expanded Disability Status Scale (EDSS) ≤ 4, were divided into high fatigue (HF, FSS ≥ 5.1) and low fatigue groups (LF, FSS ≤ 3). We measured T2 lesion load using a semi-automated technique. Cortical thickness, volume of sub-cortical nuclei, and brainstem structures were measured using Freesurfer. Cortical Diffusion Tensor Imaging (DTI) parameters were extracted using a cross modality technique. A correlation analysis was performed between FSS, volumetric, and DTI indices across all patients. HF patients showed significantly lower volume of thalamus, (p = 0.02), pallidum (p = 0.01), and superior cerebellar peduncle ((SCP), p = 0.002). The inverse correlation between the FSS score and the above volumes was significant in the total study population. In the right temporal cortex (RTC), the Radial Diffusivity ((RD), p = 0.01) and Fractional Anisotropy ((FA), p = 0.01) was significantly higher and lower, respectively, in the HF group. After Bonferroni correction, thalamic volume, FA-RTC, and RD-RTC remained statistically significant. Multivariate regression analysis identified FA-RTC as the best predictor of fatigue severity. Our data suggest an association between fatigue severity and volumetric changes of thalamus, pallidum, and SCP. Early neuronal injury in the RTC is implicated in the pathogenesis of MS-related fatigue.

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Neuroimaging and Fatigue

Pinter

Enzinger

2023

Fatigue in Multiple Sclerosis

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Different cortical underpinnings for fatigue and depression in MS?

Cited by 28 publications

References 33 publications

Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

Structural and Neuronal Integrity Measures of Fatigue Severity in Multiple Sclerosis

Neuroimaging and Fatigue

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