Wegrzyk, Jennifer; Kebets, Valeria; Richiardi, Jonas; Galli, Silvio; de Ville, Dimitri Van; Aybek, Selma (2018). Identifying motor functional neurological disorder using resting-state functional connectivity. NeuroImage: Clinical, 17, pp. 163-168. Elsevier 10.1016/j.nicl.2017.10.012
|
Text
1-s2.0-S221315821730253X-main.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND). Download (477kB) | Preview |
BACKGROUND
Motor functional neurological disorder (mFND) is a clinical diagnosis with reliable features; however, patients are reluctant to accept the diagnosis and physicians themselves bear doubts on potential misdiagnoses. The identification of a positive biomarker could help limiting unnecessary costs of multiple referrals and investigations, thus promoting early diagnosis and allowing early engagement in appropriate therapy.
OBJECTIVES
To test whether resting-state (RS) functional magnetic resonance imaging could discriminate patients suffering from mFND from healthy controls.
METHODS
We classified 23 mFND patients and 25 age- and gender-matched healthy controls based on whole-brain RS functional connectivity (FC) data, using a support vector machine classifier and the standard Automated Anatomic Labeling (AAL) atlas, as well as two additional atlases for validation.
RESULTS
Accuracy, specificity and sensitivity were over 68% (p = 0.004) to discriminate between mFND patients and controls, with consistent findings between the three tested atlases. The most discriminative connections comprised the right caudate, amygdala, prefrontal and sensorimotor regions. Post-hoc seed connectivity analyses showed that these regions were hyperconnected in patients compared to controls.
CONCLUSIONS
The good accuracy to discriminate patients from controls suggests that RS FC could be used as a biomarker with high diagnostic value in future clinical practice to identify mFND patients at the individual level.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology |
UniBE Contributor: |
Aybek Rusca, Selma |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2213-1582 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Stefanie Hetzenecker |
Date Deposited: |
05 Apr 2018 13:11 |
Last Modified: |
02 Mar 2023 23:29 |
Publisher DOI: |
10.1016/j.nicl.2017.10.012 |
PubMed ID: |
29071210 |
Uncontrolled Keywords: |
Biomarker Classification Functional connectivity Functional neurological disorder Resting state functional magnetic resonance imaging |
BORIS DOI: |
10.7892/boris.107075 |
URI: |
https://boris.unibe.ch/id/eprint/107075 |
Actions (login required)
 |
Edit item |