Identifying motor functional neurological disorder using resting-state functional connectivity.

ABSTRACT:

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 a

SUBMITTER: Wegrzyk J 

PROVIDER: S-EPMC5651543 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature