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A systematic review of resting-state and task-based fmri in juvenile myoclonic epilepsy.
Sanjari Moghaddam, Hossein; Sanjari Moghaddam, Ali; Hasanzadeh, Alireza; Sanatian, Zahra; Mafi, Amirreza; Aarabi, Mohammad Hadi; Samimi, Mohammadmehdi; Aghamollaii, Vajiheh; Gholipour, Taha; Tafakhori, Abbas.
Afiliación
  • Sanjari Moghaddam H; Iranian Center of Neurological Research (ICNR), Tehran University of Medical Sciences, Tehran, Iran.
  • Sanjari Moghaddam A; Neurology Division, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Hasanzadeh A; Radiology Division, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Sanatian Z; Department of Medicine, Duke University Medical Center, Durham, NC, USA.
  • Mafi A; Iranian Center of Neurological Research (ICNR), Tehran University of Medical Sciences, Tehran, Iran.
  • Aarabi MH; Neurology Division, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Samimi M; Iranian Center of Neurological Research (ICNR), Tehran University of Medical Sciences, Tehran, Iran.
  • Aghamollaii V; Iranian Center of Neurological Research (ICNR), Tehran University of Medical Sciences, Tehran, Iran.
  • Gholipour T; Neurology Division, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Tafakhori A; Department of Neuroscience (DNS), Padova Neuroscience Center, University of Padova, Padua, Italy. Mohammadhadiarabi@gmail.com.
Brain Imaging Behav ; 16(3): 1465-1494, 2022 Jun.
Article en En | MEDLINE | ID: mdl-34786666
ABSTRACT
Functional neuroimaging modalities have enhanced our understanding of juvenile myoclonic epilepsy (JME) underlying neural mechanisms. Due to its non-invasive, sensitive and analytical nature, functional magnetic resonance imaging (fMRI) provides valuable insights into relevant functional brain networks and their segregation and integration properties. We systematically reviewed the contribution of resting-state and task-based fMRI to the current understanding of the pathophysiology and the patterns of seizure propagation in JME Altogether, despite some discrepancies, functional findings suggest that corticothalamo-striato-cerebellar network along with default-mode network and salience network are the most affected networks in patients with JME. However, further studies are required to investigate the association between JME's main deficiencies, e.g., motor and cognitive deficiencies and fMRI findings. Moreover, simultaneous electroencephalography-fMRI (EEG-fMRI) studies indicate that alterations of these networks play a role in seizure modulation but fall short of identifying a causal relationship between altered functional properties and seizure propagation. This review highlights the complex pathophysiology of JME, which necessitates the design of more personalized diagnostic and therapeutic strategies in this group.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epilepsia Mioclónica Juvenil Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Epilepsia Mioclónica Juvenil Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Irán