scholarly journals The cognitive phenotype of spina bifida meningomyelocele

2010 ◽  
Vol 16 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Maureen Dennis ◽  
Marcia A. Barnes
2010 ◽  
Vol 9 (4) ◽  
pp. 484-498 ◽  
Author(s):  
Maureen Dennis ◽  
Michael S. Salman ◽  
Jenifer Juranek ◽  
Jack M. Fletcher

2008 ◽  
Vol 14 (5) ◽  
pp. 771-781 ◽  
Author(s):  
H. JULIA HANNAY ◽  
AMY WALKER ◽  
MAUREEN DENNIS ◽  
LARRY KRAMER ◽  
SUSAN BLASER ◽  
...  

Spina bifida meningomyelocele with hydrocephalus (SBM) is commonly associated with anomalies of the corpus callosum (CC). We describe MRI patterns of regional CC agenesis and relate CC anomalies to functional laterality based on a dichotic listening test in 90 children with SBM and 27 typically developing controls. Many children with SBM (n = 40) showed regional CC anomalies in the form of agenesis of the rostrum and/or splenium, and a smaller number (n = 20) showed hypoplasia (thinning) of all CC regions (rostrum, genu, body, and splenium). The expected right ear advantage (REA) was exhibited by normal controls and children with SBM having a normal or hypoplastic splenium. It was not shown by children with SBM who were left handed, missing a splenium, or had a higher level spinal cord lesion. Perhaps the right hemisphere of these children is more involved in processing some aspects of linguistic stimuli. (JINS, 2008, 14, 771–781.)


2009 ◽  
Vol 15 (4) ◽  
pp. 521-528 ◽  
Author(s):  
TALAR HOPYAN ◽  
E. GLENN SCHELLENBERG ◽  
MAUREEN DENNIS

AbstractNeurodevelopmental disorders such as spina bifida meningomyelocele (SBM) are often associated with dysrhythmic movement. We studied rhythm discrimination in 21 children with SBM and in 21 age-matched controls, with the research question being whether both groups showed a strong-meter advantage whereby rhythm discrimination is better for rhythms with a strong-meter, in which onsets of longer intervals occurred on the beat, than those with a weak-meter, in which onsets of longer intervals occurred off the beat. Compared to controls, the SBM group was less able to discriminate strong-meter rhythms, although they performed comparably in discriminating weak-meter rhythms. The attenuated strong-meter advantage in children with SBM shows that their rhythm deficits occur at the level of both perception and action, and may represent a central processing disruption of the brain mechanisms for rhythm. (JINS, 2009, 15, 521–528.)


2013 ◽  
Vol 3 (5) ◽  
pp. 512-522 ◽  
Author(s):  
Victoria J. Williams ◽  
Jenifer Juranek ◽  
Karla Stuebing ◽  
Paul T. Cirino ◽  
Maureen Dennis ◽  
...  

2010 ◽  
Vol 35 (9) ◽  
pp. 927-936 ◽  
Author(s):  
M. D. Swartwout ◽  
S. L. Garnaat ◽  
K. A. Myszka ◽  
J. M. Fletcher ◽  
M. Dennis

2008 ◽  
Vol 30 (6) ◽  
pp. 323-329 ◽  
Author(s):  
Kathleen M. Jenks ◽  
Ernest C. D. M. van Lieshout ◽  
Jan de Moor

2020 ◽  
Vol 9 (3) ◽  
pp. 1-14
Author(s):  
J.M. Fletcher ◽  
J. Juranek

This paper reviews the physical, neural, and cognitive phenotypes of spina bifida myelomeningocele (SBM), a non-lethal neural tube defect that is the most common congenital birth defect affecting the central nervous system. After reviewing the physical and neural phenotypes, we explain how these variations affect in a principled manner variation in the cognitive phenotype of SBM. The cognitive phenotype represents a modal profile with strengths in associative, rule-based learning and weaknesses in assembled, integrative processes. This phenotype is related to core deficits in timing, attention, and movement that arise early in development because of brain malformations involving the cerebellum, midbrain, and corpus callosum. The variability of outcomes in SBM is also related to the level of spinal cord lesion, secondary effects of hydrocephalus and its treatment, and the psychosocial environment. Early interventions and comprehensive interventions that take advantage of our understanding of the modal cognitive phenotype modal profile and the variations that occur are important in helping people with SBM maximize their cognitive development, adaptive functions, and quality of life.


2009 ◽  
Vol 31 (2) ◽  
pp. 180-194 ◽  
Author(s):  
H. Julia Hannay ◽  
Maureen Dennis ◽  
Larry Kramer ◽  
Susan Blaser ◽  
Jack M. Fletcher

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