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EURON and THEME joint PhD meeting

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66<br />

<strong>EURON</strong> <strong>and</strong> <strong>THEME</strong> <strong>joint</strong> <strong>meeting</strong> 2011<br />

Abnormal functional connectivity between areas<br />

involved in emotion <strong>and</strong> executive control in<br />

psychogenic non-epileptic seizures (PNES)<br />

S.J.M. van der Kruijs 1,2 , N.M.G. Bodde 1 , M.J. Vaessen 1,2 , R.H. Lazeron 1 , P.A.<br />

Hofman 1,2 , W.H. Backes 2 , A.P. Aldenkamp 1,2 , J.F.A. Jansen 2<br />

1 Epilepsy Center Kempenhaeghe, Heeze, Netherl<strong>and</strong>s; 2 Department of Radiology, Maastricht University<br />

Medical Center, Maastricht, Netherl<strong>and</strong>s.<br />

Introduction<br />

Psychogenic non-epileptic seizures (PNES) are paroxysmal episodes without<br />

epileptiform brain activity as recorded by EEG. Instead, there is positive<br />

evidence for psychogenic factors that may underlie the seizures. One important<br />

predisposition factor for PNES is dissociation, i.e. disrupted integration of<br />

conscious functioning. We explored whether fMRI could identify biomarkers of<br />

brain alterations associated with dissociation in PNES.<br />

Methods<br />

Patients with PNES (n=11) <strong>and</strong> healthy volunteers (n=12) completed dissociation<br />

questionnaires (DIS-Q, DES <strong>and</strong> SDQ-20), <strong>and</strong> the Raven’s Progressive Matrices<br />

Test. The fMRI protocol consisted of 4 scans: Resting state fMRI (rsfMRI) 1,<br />

picture encoding, Stroop color naming, <strong>and</strong> rsfMRI 2. All MR images were preprocessed<br />

in SPM8, <strong>and</strong> between-group differences in cerebral activation were<br />

assessed. Subsequently, ROIs with strong activation were defined, based on<br />

the activation patterns during the tasks, averaged over all subjects. Based on<br />

the ROIs, functional connectivity maps were obtained from resting-state fMRI.<br />

Multiple regression was performed to assess between-group differences (p

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