To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This book presents an interdisciplinary survey at the intersection of music, creativity, and medicine. Featuring contributions from medical doctors, psychologists, and musicians, it surveys thought-provoking findings in the music-medical borderlands. Experts in neuroscience explore the cerebral underpinnings of music, from auditory-motor interactions, to rhythm, to the role of music in therapy, epilepsy, and cognitive disorders. Case studies describe medical biographies of musical masters, including Beethoven's deafness, Schumann's deterioration, Ravel's dementia, and Gershwin's brain tumor. There are accompanying studio recordings from the volume editors. Students, researchers, or anyone interested in the new frontiers of music in medicine will find original cross-disciplinary connections in this volume.
Little research exists characterizing the neuropsychological profile of pediatric insular epilepsy. Accurate diagnosis of insular epilepsy is challenging due to difficulties localizing deep brain structures with current non-invasive neurodiagnostic tools, as well as seizure semiology that may mimic temporal, frontal, and parietal seizures for this patient population [1]. Therefore, we investigated trends across neuropsychological data to help characterize the cognitive profile of pediatric insular epilepsy. This is important because studies that could accurately characterize insular epilepsy into cognitive phenotypes could potentially provide supporting evidence for insular localization during epilepsy surgery work-up. The insula is situated underneath the temporal, parietal, and frontal opercula, and has a number of diffuse projections to key brain structures involved in language, executive functioning, motor coordination, and sensory function [2]. Therefore, we hypothesized that children with insular epilepsy will demonstrate particular weaknesses in language and executive functioning skills.
Participants and Methods:
Retrospective medical records review identified 19 children with insular epilepsy who completed neuropsychological assessment (Age: M=8.2 years, SD=3.4) at Boston Children’s Hospital. Insular epilepsy was defined by ictal insular localization on long-term monitoring EEG. The current sample includes 59% males and 41% females. The majority of participants (69%) had left sided lateralization and more than one seizure type (63%). MRI findings were widely distributed across frontal, temporal, and multiple lobes as well as insular and perisylvian brain regions. A lesion was identified on MRI findings for most participants (63%).
Results:
Descriptive analyses showed that overall IQ (FSIQ: M=84, SD=12, range=68-102) fell in the Low Average range. Verbal and visual reasoning skills were equally developed in the Low Average range (VIQ: M=88, SD=12, range=70-104; PIQ: M=88, SD=16, range=53-117). Participants exhibited lower performance on speeded expressive language measures, including measures of phonemic fluency (M=5.5, SD=1.5, range=2-8) and semantic fluency (M=6.7, SD=2.5, range=3-11). With regard to executive functioning, reduced cognitive flexibility was observed on D-KEFS Trail Making Test (Trial 4, Number-Letter Switching: M=5.9, SD=4.9, range=1-12). Additionally, working memory skills fell in the Below Average range (WMIQ: M=77, SD=8.5, range=67-88).
Conclusions:
Our results indicate that pediatric patients with insular epilepsy present with reduced scores across aspects of speeded expressive language and executive functioning, including working memory and cognitive flexibility. Additional research is needed to replicate these preliminary findings with a larger sample size and determine whether these trends in cognitive profile would help with seizure localization. Future research should investigate whether insular epilepsy has a clearly identifiable and distinct cognitive phenotype that could be helpful in differential diagnostic workup.
As editors and authors, we reflect on this project, conceptualized to blend the salient clinical and exciting scientific advances that are on full display, from common to unique, in the field of inherited metabolic movement disorders. It is the province of the neurologist (pediatric and adult), geneticist, movement disorder specialist, developmentalist, radiologist, pathologist, physiatrist, therapist, educator, parent, advocate … indeed, the scope of this work is beyond provincial but instead universal. We have endeavored to encapsulate in this monograph a comprehensive approach to the somewhat peculiar but frankly permeating intersection of the inherited errors of metabolism and movement disorders.
Inherited metabolic movement disorders are an important and evolving group of disorders that bridge two subspecialty areas: childhood-onset movement disorders and inborn errors of metabolism. Individually, many of these disorders are rare but in aggregate they represent a substantial clinical burden. It is in their complex nature that they require a multidisciplinary approach that includes pediatricians, neurologists, and geneticists among others.
Gamma-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the brain. The primary precursor of GABA is glutamate, the major excitatory neurotransmitter in the brain. Glutamate is converted into GABA via glutamate decarboxylase (GAD). GABA-transaminase (GABA-T) metabolizes GABA to succinic semialdehyde, which is rapidly metabolized to succinic acid by succinic semialdehyde dehydrogenase (SSADH) and then enters the tricarboxylic acid (TCA) cycle (Figure 23.1).
Inherited metabolic movement disorders are a significant and rapidly evolving field of study, linking two subspecialty areas of childhood-onset movement disorders and inborn errors of metabolism. Increasing the chance of early recognition of inherited metabolic movement disorders can have significant therapeutic implications for patients. Containing information on new disorders of post-translational modification and autophagy and their identification and treatment, there is thorough coverage of disorders of amino acids, energy metabolism, and lysosomal storage, amongst others. This key resource explores future directions in the field including next-generation genetic sequencing and novel therapeutic approaches such as deep brain stimulation. Supplementary videos are available on Cambridge Core, accessible via the code printed inside the cover. This essential text bridges the gap in communication between experts in genetic-metabolic medicine and movement disorder neurology. With an emphasis on treatable conditions that should not be missed, this volume guides you through various disorders from a clinical, biochemical and genetic perspective.
Succinic semialdehyde dehydrogenase (SSADH) deficiency (γ-hydroxybutyric aciduria) is a rare neurometabolic disorder of γ-aminobutyric acid degradation. While neurological manifestations, such as developmental delay, are typical during infancy, limited data are available on adolescent and adult symptomatology.
Methods:
We overview the phenotype of 33 adolescents and adults (10.1–39.5 years of age, mean: 17.1 years, 48% females) with SSADH deficiency. For this purpose, we applied a database with systematic questionnaire-based follow-up data.
Results:
Sixty-six percent of patients (n=21) presented by 6 months of age, 14% from 6–12 months of age, 5% from 1–2 years of age, and 14% from 2–4 years of age, mean age at first symptoms was 11±12 months. However, mean age at diagnosis was 6.6±6.4 years of age. Presenting symptoms encompassed motor delay, hypotonia, speech delay, autistic features, seizures, and ataxia. Eighty-two percent demonstrated behavioral problems, such as attention deficit, hyperactivity, anxiety, or aggression, and 33% had ≥3 behavior problems. Electroencephalograms showed background slowing or epileptiform discharges in 40% of patients. Treatment approaches are then summarized.
Conclusion:
The variable phenotype in SSADH deficiency suggests the likelihood that this disease may be under-diagnosed. Families of patients with SSADH deficiency should be counseled and supported regarding the anticipated persistence of various neuropsychiatric symptoms into adulthood.