Increasing precision in the measurement of change in pediatric neurodegenerative disease.

Due to the surge in new brain-directed treatments, metrics to detect the alteration in developmental trajectories in cognition and adaptive behavior have become increasingly important. We propose Growth Scale Values (GSVs) as a solution to monitoring children with severe neurologic/neurodegenerative conditions. This report stems from a panel of experts presenting at the Gorlin symposium (WORLD Symposium) and a subsequent open Webinar sponsored by the National MPS Society. Because norm-referenced scores (Standard Scores or Intelligence Quotient, i.e., IQ) do not yield information about gain, stability, or loss of skills, they are not suitable for natural history studies or clinical trials. Age-equivalent (AE) scores have been the standard metric used in natural history studies. While AEs are familiar and interpretable to clinicians and parents, they are imprecise due to lack of standard deviations, standard errors of measurement, and equal intervals between scores. Raw scores also have unequal intervals and are not comparable between ages or ability levels. The GSV, a nonlinear transformation of raw scores using item calibration to make an interval scale score, can be used for accurate measures of within-person change. GSVs have been identified as a useful metric for longitudinal measurement of other conditions involving neurodiversity. These growth scores circumvent inaccurate AEs in infants, are not limited by age and can be used for impaired patients who are chronologically above the normative age range. GSVs have interval properties (a given difference between GSV values represents the same difference in ability at all score levels) and each GSV value has a known standard error of measurement (SEM). GSVs are recommended to measure change in cognitive and adaptive behavior in natural history studies and in clinical trials for children with neurologic disease.

The nature and impact of neurobehavioral symptoms in neuronopathic Hunter syndrome.

In neuronopathic Hunter syndrome, neurobehavioral symptoms are known to be serious but have been incompletely described. While families face significant stress stemming from this complex and far-reaching array of symptoms, neither caregiver burden nor the neurobehavioral symptoms have been measured comprehensively. We delineated these neurobehavioral characteristics and their impact on the caregiver using multiple approaches. Methods: As part of the initial phase of developing a Hunter-specific behavioral assessment tool, we used multiple methods to obtain data on patient behaviors and caregiver burden, with the intention of drafting item sets for the tool. We utilized 1) caregiver descriptions from focus groups and individual interviews, 2) observations from video-recorded play of affected children, 3) descriptions from historic chart review, 4) consultation with patient advocacy groups and international experts, 5) reports from a caregiver advisory board, and 6) literature review. Results: Neurobehavioral symptoms were diverse and categorized as focus/attention, impulsivity/heightened activity, sensation seeking, emotional/behavioral function, social interaction, and sleep. A significant reported challenge was susceptibility to misinterpretation of some behaviors as defiant or aggressive, particularly if physical. Caregiver burden involved social isolation, exhaustion, stress, and financial and vocational strain. These new descriptions will aid in developing quantitative measures of change in neurobehavioral symptoms and family burden. These descriptions will be the foundation of a neurobehavioral rating scale, which is very much needed to aid in patient management and assess interventions for individuals with neuronopathic Hunter syndrome.

Childhood Cerebral Adrenoleukodystrophy: MR Perfusion Measurements and Their Use in Predicting Clinical Outcome after Hematopoietic Stem Cell Transplantation.

BACKGROUND AND PURPOSE: MR perfusion has shown abnormalities of affected WM in cerebral X-linked adrenoleukodystrophy, but serial data is needed to explore the import of such findings after hematopoietic stem cell transplantation. Our aim was to prospectively measure MR perfusion parameters in patients with cerebral adrenoleukodystrophy pre- and post-hematopoietic stem cell transplantation, and to correlate those measurements with clinical outcome. MATERIALS AND METHODS: Ten patients with cerebral adrenoleukodystrophy prospectively underwent DSC-MR perfusion imaging at <45 days pre- (baseline), 30-60 days post-, and 1 year post-hematopoietic stem cell transplantation. MR perfusion measurements in the 10 patients and 8 controls were obtained from the parieto-occipital WM, splenium of the corpus callosum, leading enhancing edge, and normal-appearing frontal white matter. MR imaging severity scores and clinical neurologic function and neurocognitive scores were also obtained. MR perfusion values were analyzed in the patients with cerebral adrenoleukodystrophy at each time point and compared with those in controls. Correlations were calculated between the pre-hematopoietic stem cell transplantation MR perfusion values and 1-year clinical scores, with P value adjustment for multiple comparisons. RESULTS: At baseline in patients with cerebral adrenoleukodystrophy, both relative CBV and relative CBF within the splenium of the corpus callosum and parieto-occipital WM significantly differed from those in controls (P = .005-.031) and remained so 1 year post-hematopoietic stem cell transplantation (P = .003-.005). Meanwhile, no MR perfusion parameter within the leading enhancing edge differed significantly from that in controls at baseline or at 1 year (P = .074-.999) or significantly changed by 1 year post-hematopoietic stem cell transplantation (P = .142-.887). Baseline Loes scores correlated with 1-year clinical neurologic function (r = 0.813, P < .0001), while splenium of the corpus callosum relative CBV also significantly correlated with 1-year neurologic function scale and the neurocognitive full-scale intelligence quotient and performance intelligence quotient scores (r = -0.730-0.815, P = .007-.038). CONCLUSIONS: Leading enhancing edge measurements likely remain normal post-hematopoietic stem cell transplantation in cerebral adrenoleukodystrophy, suggesting local disease stabilization. Meanwhile, parieto-occipital WM and splenium of the corpus callosum relative CBV and relative CBF values worsened; this change signified irreversible injury. Baseline splenium of the corpus callosum relative CBV may predict clinical outcomes following hematopoietic stem cell transplantation.

On the meaning and measurement of affective instability: clues from chaos theory.

BACKGROUND: "Affective instability" describes affective shifts occurring over hours to days that are associated with clinically significant impairment or distress. Since patients with this condition are clinically "chaotic," we undertook to study affective instability relative to normal affective variability using the tools of chaos theory. METHODS: Patients and controls generated time series data over 90 days using a visual analog mood scale to capture daily affective means and extremes. The series were analyzed using the Mean Squared Successive Difference (MSSD), Power Spectral Density (PSD), and Fractal Dimension (FD). RESULTS: Patients demonstrated substantially more variability than controls on the MSSD, but less complexity as measured by the FD. The PSD revealed that power varied with frequency (f) in a 1 [corrected] alpha relationship, wherein the alpha for patients was double that for controls. CONCLUSIONS: Despite the "chaotic" clinical presentation of affective instability patients, affective instability itself was found to be less complex from a chaos-theoretic perspective than normal affective variability. Of particular interest is the alpha ratio of order 2 between patients and controls seen in both our study and a similar but much longer study of mood in rapid-cycling bipolar disorder; an observation suggesting that pathological affect may be distinguishable from normal affective variability by a scale-invariant parameter.

Childhood cerebral X-linked adrenoleukodystrophy: diffusion tensor imaging measurements for prediction of clinical outcome after hematopoietic stem cell transplantation.

BACKGROUND AND PURPOSE: DTI in cerebral X-linked adrenoleukodystrophy may demonstrate abnormalities in both affected and nonaffected WM; these values have not been studied serially after hematopoietic stem cell transplantation. The purpose of this study was to study pretransplant and posttransplant DTI parameters serially and ultimately to determine the ability of pretransplant DTI parameters to predict clinical outcome after HSCT in children with ALD. MATERIALS AND METHODS: Eight patients with posterior-pattern cerebral ALD underwent DTI at 3T before HSCT (T0), at 30-60 days (T1), 90-120 days (T2), 180 days (T3), and 1 year (T4) after HSCT. FA and MD were serially measured in 19 regions, and these measurements were compared with those in control patients. MR imaging severity (Loes) scores were recorded. Correlations were performed between DTI parameters and Loes scores, neurologic function scores, and several neuropsychologic scores. RESULTS: Both FA and MD in subjects differed significantly from that in controls at nearly every time point within cerebellar WM, callosal splenium, and parieto-occipital WM; FA alone was significantly different at each time point within the optic radiations, lateral geniculate, and the Meyer loop (P < .05). Loes scores at T0 correlated strongly with each clinical score at T4 (r = 0.771-0.986, P < .05). The only significant DTI correlation at T0 with a clinical score at T4 was callosal body FA with adaptive function (r = 0.976, P < .001). Correlating the change in DTI values with change in NFS (change between T0 and T4) showed that only ΔMD within the optic radiations correlated strongly with ΔNFS (r = 0.903, P < .05). CONCLUSIONS: DTI values at T0 were generally poor predictors of outcome at 1 year, whereas Loes scores were generally good predictors. ΔMD within the optic radiations strongly correlates with ΔNFS over that year. In addition, certain normal-appearing regions, such as cerebellar WM, may have DTI abnormalities before HSCT that persist after HSCT.