Compound narcolepsy: development of biochemical imbalance

Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD

BACKGROUND

Despite the effectiveness of methylphenidate for treating ADHD, up to 30% of individuals with ADHD show poor responses to methylphenidate. Neuroimaging biomarkers to predict medication responses remain elusive. This study characterized neuroanatomical features that differentiated between clinically good and poor methylphenidate responders with ADHD.

METHODS

Using a naturalistic observation design selected from a larger cohort, we included 79 drug-naive individuals (aged 6-42 years) with ADHD without major psychiatric comorbidity, who had acceptable baseline structural MRI data quality. Based on a retrospective chart review, we defined responders by individuals' responses to at least one-month treatment with methylphenidate. A nonparametric mass-univariate voxel-based morphometric analysis was used to compare regional gray matter volume differences between good and poor responders. A multivariate pattern recognition based on the support vector machine was further implemented to identify neuroanatomical indicators to predict an individual's response.

RESULTS

63 and 16 individuals were classified in the good and poor responder group, respectively. Using the small-volume correction procedure based on the hypothesis-driven striatal and default-mode network masks, poor responders had smaller regional volumes of the left putamen as well as larger precuneus volumes compared to good responders at baseline. The machine learning approach identified that volumetric information among these two regions alongside the left frontoparietal regions, occipital lobes, and posterior/inferior cerebellum could predict clinical responses to methylphenidate in individuals with ADHD.

CONCLUSION

Our results suggest regional striatal and precuneus gray matter volumes play a critical role in mediating treatment responses in individuals with ADHD.

CSF substance P somatostatin and monoaminergic transmitter metabolites in patients with narcolepsy

We have measured the concentrations of substance P, somatostatin, homovanillic acid (HVA), vanillyl mandelic acid (VMA) and 5-hydroxyindoleacetic acid (5-HIAA) in the cerebrospinal fluid (CSF) of six patients suffering from narcolepsy and 12 age- and gender-matched controls using high pressure liquid chromatography (HPLC) and radioimmunoassay (RIA). Substance P and somatostatin were significantly decreased in our patients compared to controls (36.9 +/- 9.1 fmol/ml versus 52.5 +/- 9.9 fmol/ml, P < 0.05 and 30.3 +/- 7.8 fmol/ml versus 43.9 +/- 9.8 fmol/ml, P < 0.05, respectively). 5-HIAA (P < 0.05) and VMA (P < 0.05) were also significantly decreased. HVA was significantly increased (P < 0.01). The CSF concentrations of substance P and somatostatin correlated with the clinical parameters duration of disease (r = -0.68, P < 0.05 and r = -0.72, P < 0.05, respectively) and severity of cataplectic symptoms (r = -0.71, P < 0.05 and r = -0.78, P < 0.01). In addition, substance P correlated with the intensity of sleepiness and the frequency of day-sleep attacks (r = -0.69, P < 0.05 and r = -0.68, P < 0.05, respectively). Substance P affects the amount of dopamine release in the nigra-striatal region, and decreased amounts could contribute to the pathogenesis of narcolepsy. Reduced levels of substance P, which affects serotonin release, may be responsible for diminished release of serotonin which in turn could affect sleep cycles. Because somatostatin affects motor behavior through dopaminergic mechanisms and since the levels of somatostatin correlate with the intensity of cataplectic symptoms, we speculate that an interaction between somatostatin and dopaminergic neurons plays a role in the pathogenesis of narcolepsy.

Motor dyscontrol in sleep of narcoleptic patients (a lifelong development?)

In our retrospective study 27 narcoleptic patients were divided into two groups: Group A comprised 14 patients (10 male, 4 female) with a history of REM behaviour disorder (RBD) and Group B comprised 13 age- and sex-matched patients (10 male, 3 female) without a history of RBD. Polygraphic and videometry data, medical history, medication, blood chemistry, psychological and neuroradiological data of the two groups of patients were compared. The narcoleptic patients with a history of RBD differed from the narcoleptic control group without history of RBD in that they had: (a) a higher frequency of parasomnias in their history; (b) a higher percentage of stage 1 REM (P < 0.01); (c) a lower number of arousals during REM sleep; (d) fewer sleep stage changes. Compared to the heterogenous RBD patient group of Mahowald and Schenck, the REM behaviour of most of our narcoleptic patients was less violent. Thus it can be speculated that the motor disorder in REM sleep might still be in the process of developing towards a full-blown REM sleep behaviour disorder. In a possible lifelong development of a motor disorder starting in NREM sleep, the onset of narcolepsy might represent the turning point for its intrusion into REM sleep.