Literature DB >> 34985619

Patient-Reported Outcome Severity and Emotional Salience Network Disruption in Multiple Sclerosis.

Tom A Fuchs1,2, Caila B Vaughn3, Ralph H B Benedict3, Bianca Weinstock-Guttman3, Niels Bergsland4,5, Dejan Jakimovski4, Deepa Ramasamy4, Robert Zivadinov3,4,6, Michael G Dwyer3,4,6.   

Abstract

BACKGROUND: Overall burden of white matter damage is associated with increased self-report fatigue severity in people with multiple sclerosis. However, a paradoxically opposite association was reported for white matter damage to tracts in specific subnetworks including the amygdala, temporal pole, and insula. Based on neuroanatomical principles and other data from the literature, we hypothesized that these results might be indicative of a broader relationship between damage to these subnetworks and impaired recognition of negative emotional salience central to patient-reported outcomes.
OBJECTIVE: We examined whether damage in the same previously-identified subnetworks is also associated with lower self-report depressive symptoms, something which may be decreased in individuals with impaired recognition of negative emotional salience. Other patient characteristics were also explored.
METHODS: In a cohort of 137 people with multiple sclerosis, we measured location-specific network white matter tract damage in the proposed negative emotional salience network, along with self-report severity of depressive symptoms and cognitive problems, personality characteristics, objective cognitive performance, and physical disability. We applied regression analyses, accounting for lesion burden, to explore the relationship between damage in the proposed negative emotional salience network and these factors.
RESULTS: We found disruption within the negative emotional salience network is associated with lower self-report depressive symptoms (β = -0.277, p = 0.036), cognitive complaints (r = -0.196, p = 0.024) and personality trait Neuroticism (r = -0.179, p = 0.042). In contrast, damage within this network was not significantly associated with objective cognitive processing speed, personality trait Openness, or physical disability.
CONCLUSION: The identified network may be a generalizable network which corresponds to the recognition of negative emotional salience, but not to objective factors such as processing speed and physical disability. Damage to this network may paradoxically buffer against negative emotional perception of symptom severity, central to patient-reported outcomes.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Disruption; Multiple sclerosis; Network; Patient-reported outcomes

Mesh:

Year:  2022        PMID: 34985619     DOI: 10.1007/s11682-021-00614-5

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  12 in total

1.  Predicting neuropsychological abnormalities in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov
Journal:  J Neurol Sci       Date:  2006-04-19       Impact factor: 3.181

2.  Sequence of information processing for emotions through pathways linking temporal and insular cortices with the amygdala.

Authors:  Malin Höistad; Helen Barbas
Journal:  Neuroimage       Date:  2008-01-05       Impact factor: 6.556

3.  The Network Modification (NeMo) Tool: elucidating the effect of white matter integrity changes on cortical and subcortical structural connectivity.

Authors:  Amy Kuceyeski; Jun Maruta; Norman Relkin; Ashish Raj
Journal:  Brain Connect       Date:  2013

4.  Mental health and chronic diseases: a challenge to be faced from a new perspective.

Authors:  Mauro Giovanni Carta; Scott Patten; António E Nardi; Dinesh Bhugra
Journal:  Int Rev Psychiatry       Date:  2017-10

Review 5.  The link between multiple sclerosis and depression.

Authors:  Anthony Feinstein; Sandra Magalhaes; Jean-Francois Richard; Blair Audet; Craig Moore
Journal:  Nat Rev Neurol       Date:  2014-08-12       Impact factor: 42.937

6.  A reproducible evaluation of ANTs similarity metric performance in brain image registration.

Authors:  Brian B Avants; Nicholas J Tustison; Gang Song; Philip A Cook; Arno Klein; James C Gee
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

7.  The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus.

Authors:  L B Krupp; N G LaRocca; J Muir-Nash; A D Steinberg
Journal:  Arch Neurol       Date:  1989-10

Review 8.  The Enigmatic temporal pole: a review of findings on social and emotional processing.

Authors:  Ingrid R Olson; Alan Plotzker; Youssef Ezzyat
Journal:  Brain       Date:  2007-03-28       Impact factor: 13.501

9.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

10.  Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis.

Authors:  R H B Benedict; I Fishman; M M McClellan; R Bakshi; B Weinstock-Guttman
Journal:  Mult Scler       Date:  2003-08       Impact factor: 6.312

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