ABSTRACT
Resting-state functional magnetic resonance imaging provides dynamic insight into the functional organization of the brains' intrinsic activity at rest. The emergence of resting-state functional magnetic resonance imaging in both the clinical and research settings may be attributed to recent advancements in statistical techniques, non-invasiveness and enhanced spatiotemporal resolution compared to other neuroimaging modalities, and the capability to identify and characterize deep brain structures and networks. In this report we describe a 16-year-old female patient with autism spectrum disorder who underwent resting-state functional magnetic resonance imaging due to late regression. Imaging revealed deactivated networks in deep brain structures involved in monoamine synthesis. Monoamine neurotransmitter deficits were confirmed by cerebrospinal fluid analysis. This case suggests that resting-state functional magnetic resonance imaging may have clinical utility as a non-invasive biomarker of central nervous system neurochemical alterations by measuring the function of neurotransmitter-driven networks. Use of this technology can accelerate and increase the accuracy of selecting appropriate therapeutic agents for patients with neurological and neurodevelopmental disorders.
ABSTRACT
Resting-state functional magnetic resonance imaging (rs-fMRI) has the potential to investigate abnormalities in brain network structure and connectivity on an individual level in neurodevelopmental disorders, such as autism spectrum disorder (ASD), paving the way toward using this technology for a personalized, precision medicine approach to diagnosis and treatment. Using a case-control design, we compared five patients with severe regressive-type ASD to five patients with temporal lobe epilepsy (TLE) to examine the association between brain network characteristics and diagnosis. All children with ASD and TLE demonstrated intact motor, language, and frontoparietal (FP) networks. However, aberrant networks not usually seen in the typical brain were also found. These aberrant networks were located in the motor (40%), language (80%), and FP (100%) regions in children with ASD, while children with TLE only presented with aberrant networks in the motor (40%) and language (20%) regions, in addition to identified seizure onset zones. Fisher's exact test indicated a significant relationship between aberrant FP networks and diagnosis (p = 0.008), with ASD and atypical FP networks co-occurring more frequently than expected by chance. Despite severe cognitive delays, children with regressive-type ASD may demonstrate intact typical cortical network activation despite an inability to use these cognitive facilities. The functions of these intact cognitive networks may not be fully expressed, potentially because aberrant networks interfere with their long-range signaling, thus creating a unique "locked-in network" syndrome.
ABSTRACT
OBJECTIVE: We conducted a systematic review of the English-language literature to identify clinical features associated with a higher risk of psychiatric symptoms (aggression and rage behaviors) in patients with hypothalamic hamartoma (HH) and epilepsy. METHODS: Two publicly-accessible databases (PubMed and Cochrane Library) were searched for Hypothalamic Hamartoma AND Epilepsy. We identified peer-reviewed original research publications (case reports or clinical series; N=19) in which clinical data was provided on an individual basis. Subjects were cohorted into those with (N=51) and without (N=68) behavioral aggression. Multiple clinical features were collated and subjected to univariate analysis to determine possible differences between these two cohorts. RESULTS: The presence of aggression significantly correlated with 1) male gender, 2) younger age at time of first seizure onset, 3) the presence of intellectual disability, and 4) the presence of multiple seizure types (versus gelastic seizures only). For those patients undergoing surgical treatment, aggression also correlated with younger age at the time of surgical intervention. CONCLUSION: Possible predictive clinical features for the presence of aggression and rage behaviors in patients with hypothalamic hamartoma and epilepsy are identified. These results may contribute to the complex treatment decisions that are unique to this population.
