Subthalamic nucleus involvement in children: a neuroimaging pattern-recognition approach

Thangamadhan Bosemani¹, Cristina Anghelescu², Eugen Boltshauser³, Alexander H Hoon Jr⁴, Phillip L Pearl⁵, Dana Craiu⁶, Michael V Johnston⁷, Thierry A G M Huisman¹, Andrea Poretti⁸

Affiliations

¹ Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² Pediatric Neurology Clinic, Alexandru Obregia Hospital, Bucharest, Romania.
³ Department of Pediatric Neurology, University Children's Hospital, Zurich, Switzerland.
⁴ Kennedy Krieger Institute, Baltimore, MD, USA; Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
⁵ Division of Neurology, Children's National Medical Center, Washington, DC, USA.
⁶ Pediatric Neurology Clinic, Alexandru Obregia Hospital, Bucharest, Romania; Department of Neurology, Pediatric Neurology, Neurosurgery, Psychiatry, "Carol Davila" University of Medicine, Bucharest, Romania.
⁷ Kennedy Krieger Institute, Baltimore, MD, USA; Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
⁸ Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatric Neurology, University Children's Hospital, Zurich, Switzerland. Electronic address: aporett1@jhmi.edu.

PMID: 24149100
DOI: 10.1016/j.ejpn.2013.09.010

Review

Subthalamic nucleus involvement in children: a neuroimaging pattern-recognition approach

Thangamadhan Bosemani et al. Eur J Paediatr Neurol. 2014 May.

. 2014 May;18(3):249-56.

doi: 10.1016/j.ejpn.2013.09.010. Epub 2013 Oct 9.

Authors

Thangamadhan Bosemani¹, Cristina Anghelescu², Eugen Boltshauser³, Alexander H Hoon Jr⁴, Phillip L Pearl⁵, Dana Craiu⁶, Michael V Johnston⁷, Thierry A G M Huisman¹, Andrea Poretti⁸

Affiliations

¹ Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² Pediatric Neurology Clinic, Alexandru Obregia Hospital, Bucharest, Romania.
³ Department of Pediatric Neurology, University Children's Hospital, Zurich, Switzerland.
⁴ Kennedy Krieger Institute, Baltimore, MD, USA; Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
⁵ Division of Neurology, Children's National Medical Center, Washington, DC, USA.
⁶ Pediatric Neurology Clinic, Alexandru Obregia Hospital, Bucharest, Romania; Department of Neurology, Pediatric Neurology, Neurosurgery, Psychiatry, "Carol Davila" University of Medicine, Bucharest, Romania.
⁷ Kennedy Krieger Institute, Baltimore, MD, USA; Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
⁸ Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatric Neurology, University Children's Hospital, Zurich, Switzerland. Electronic address: aporett1@jhmi.edu.

PMID: 24149100
DOI: 10.1016/j.ejpn.2013.09.010

Abstract

A neuroimaging-based pattern-recognition approach has been shown to be very helpful in the diagnosis of a wide range of pediatric central nervous system diseases. Few disorders may selectively affect the subthalamic nucleus in children including Leigh syndrome, succinic semialdehyde dehydrogenase deficiency, kernicterus, chronic end-stage liver failure and near total hypoxic-ischemic injury in the full-term neonates. The consideration of the constellation of clinical history and findings as well as additional neuroimaging findings should allow planning the appropriate diagnostic tests to make the correct diagnosis in children with involvement of the subthalamic nucleus.

Keywords: Children; Magnetic resonance imaging; Pattern-recognition approach; Subthalamic nucleus.

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Subthalamic nucleus involvement in children: a neuroimaging pattern-recognition approach

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Subthalamic nucleus involvement in children: a neuroimaging pattern-recognition approach

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