Publications by authors named "Charlotte M Pretzsch"

Imaging transcriptomics has become a power tool for linking imaging-derived phenotypes (IDPs) to genomic mechanisms. Yet, its potential for guiding CNS drug discovery remains underexplored. Here, utilizing spatially-dense representations of the human brain transcriptome, we present an analytical framework for the transcriptomic decoding of high-resolution surface-based neuroimaging patterns, and for linking IDPs to the transcriptomic landscape of complex neurotransmission systems in vivo.

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Background: Neurodevelopmental conditions, such as autism, are highly heterogeneous both at the mechanistic and phenotypic level. Parsing heterogeneity is therefore vital for uncovering underlying processes that could inform the development of targeted, personalized support. The study aimed to parse heterogeneity in autism by identifying subgroups that converge at both phenotypic and molecular levels.

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High-field magnetic resonance imaging to explore brain structure and function remains limited to high-resource settings. Novel, low-field (<0.1 T) imaging offers a more cost-effective/accessible alternative.

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Stimulants, such as methylphenidate (MPH), are beneficial for attention-deficit/hyperactivity disorder (ADHD), but individual response varies. A deeper understanding of the mechanisms underpinning response is needed. Previous studies suggest that a single MPH dose modulates resting-state functional connectivity (rs-fc).

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Atypical face processing is commonly reported in autism. Its neural correlates have been explored extensively across single neuroimaging modalities within key regions of the face processing network, such as the fusiform gyrus (FFG). Nonetheless, it is poorly understood how variation in brain anatomy and function jointly impacts face processing and social functioning.

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Article Synopsis
  • Autism presents unique neurodevelopmental differences that make it challenging to understand brain anatomy at a group level.
  • The study analyzed neuroanatomical variations in social communication, repetitive behaviors, and sensory processing among a diverse group of autistic and non-autistic participants.
  • Results indicated that specific brain features are linked to autism-related behaviors and are connected to genes involved in brain development and synaptic function, highlighting the biological basis of individual differences within neurodiversity.
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Importance: In the neurotypical brain, regions develop in coordinated patterns, providing a fundamental scaffold for brain function and behavior. Whether altered patterns contribute to clinical profiles in neurodevelopmental conditions, including autism, remains unclear.

Objectives: To examine if, in autism, brain regions develop differently in relation to each other and how these differences are associated with molecular/genomic mechanisms and symptomatology.

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Background: The neurobiological underpinnings of Autism Spectrum Disorder (ASD) are diverse and likely multifactorial. One possible mechanism is increased oxidative stress leading to altered neurodevelopment and brain function. However, this hypothesis has mostly been tested in post-mortem studies.

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Epithelial-mesenchymal transition (EMT), angiogenesis, cell adhesion and extracellular matrix (ECM) interaction are essential for colorectal cancer (CRC) metastasis. Low grade mucinous neoplasia of the appendix (LAMN) and its advanced state low grade pseudomyxoma peritonei (lgPMP) show local aggressiveness with very limited metastatic potential as opposed to CRC. To better understand the underlying processes that foster or impede metastatic spread, we compared LAMN, lgPMP, and CRC with respect to their molecular profile with subsequent pathway analysis.

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Article Synopsis
  • Autism spectrum disorders (ASD) involve variations in neurodevelopment that can be influenced by co-occurring conditions like ADHD, impacting clinical characteristics.
  • This study analyzed brain measurements (cortical thickness and surface area) in 533 individuals with ASD to see how ADHD affects these neuroanatomical traits and explored genetic links.
  • Results indicated significant differences in brain structure between individuals with ASD alone and those with ASD + ADHD, highlighting the role of genetics specific to ASD in these variations, while noting limitations due to the small ADHD-only group size.
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Autism has been associated with differences in the developmental trajectories of multiple neuroanatomical features, including cortical thickness, surface area, cortical volume, measures of gyrification, and the gray-white matter tissue contrast. These neuroimaging features have been proposed as intermediate phenotypes on the gradient from genomic variation to behavioral symptoms. Hence, examining what these proxy markers represent, i.

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Background: Autism is a heterogeneous neurodevelopmental condition accompanied by differences in brain connectivity. Structural connectivity in autism has mainly been investigated within the white matter. However, many genetic variants associated with autism highlight genes related to synaptogenesis and axonal guidance, thus also implicating differences in intrinsic (i.

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Article Synopsis
  • * A study followed 333 individuals (161 autistic and 172 neurotypical) over 12-24 months, assessing their behavior and brain structure to understand variations in adaptive behavior within autism.
  • * Results revealed distinct brain structure profiles associated with different adaptive behavior outcomes in autistic participants, potentially linked to autism-related genes, which could inform targeted interventions for individuals with poorer outcomes.
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Objective: The male preponderance in prevalence of autism is among the most pronounced sex ratios across neurodevelopmental conditions. The authors sought to elucidate the relationship between autism and typical sex-differential neuroanatomy, cognition, and related gene expression.

Methods: Using a novel deep learning framework trained to predict biological sex based on T-weighted structural brain images, the authors compared sex prediction model performance across neurotypical and autistic males and females.

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The metabotropic glutamate receptor 5 (mGluR5) is a key regulator of excitatory (E) glutamate and inhibitory (I) γ-amino butyric acid (GABA) signalling in the brain. Despite the close functional ties between mGluR5 and E/I signalling, no-one has directly examined the relationship between mGluR5 and glutamate or GABA in vivo in the human brain of autistic individuals. We measured [F] FPEB (F-3-fluoro-5-[(pyridin-3-yl)ethynyl]benzonitrile) binding in 15 adults (6 with Autism Spectrum Disorder) using two regions of interest, the left dorsomedial prefrontal cortex and a region primarily composed of left striatum and thalamus.

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Article Synopsis
  • Autism Spectrum Disorder (ASD) shows a range of outcomes, with some individuals improving and others not, emphasizing the need for personalized medicine approaches based on biological processes.
  • A longitudinal study involving 483 individuals assessed behavioral, neuroanatomical, and genetic data to categorize those with ASD into outcome groups: "increasers," "no-changers," and "decreasers."
  • Results revealed distinct neuroanatomical features in these groups, indicating that deviations from a typical neuroanatomical profile can predict individual outcomes, linked to genetic factors related to brain development.
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Sensory atypicalities in autism spectrum disorder (ASD) are thought to arise at least partly from differences in γ-aminobutyric acid (GABA) receptor function. However, the evidence to date has been indirect, arising from correlational studies in patients and preclinical models. Here, we evaluated the role of GABA receptor directly, in 44 adults ( = 19 ASD).

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The neuroanatomy of autism spectrum disorder (ASD) shows highly heterogeneous developmental trajectories across individuals. Mapping atypical brain development onto clinical phenotypes, and establishing their molecular underpinnings, is therefore crucial for patient stratification and subtyping. In this longitudinal study we examined intra- and inter-individual differences in the developmental trajectory of cortical thickness (CT) in childhood and adolescence, and their genomic underpinnings, in 33 individuals with ASD and 37 typically developing controls (aged 11-18 years).

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Circumstances surrounding the COVID-19 pandemic have resulted in significant personal and professional adjustments. Students and trainees, including those in autism research, face unique challenges to accomplishing their training and career goals during this unprecedented time. In this commentary, we, as members of the International Society for Autism Research Student and Trainee Committee, describe our personal experiences, which may or may not align with those of other students and trainees.

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Background: The effect of bacterobilia on morbidity after pancreatoduodenectomy remains unclear. The aim of this study was to examine the influence of positive intraoperative bile cultures and perioperative antibiotic prophylaxis on morbidity measured using the Comprehensive Complication Index, a weighted composite of postoperative complications.

Methods: Intraoperative bile cultures of 182 patients who underwent pancreatoduodenectomy were obtained.

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Article Synopsis
  • - The study investigates the link between brain anatomy and genetics in individuals with autism spectrum disorder (ASD), focusing on differences in cortical thickness across a diverse group of participants.
  • - Results show significant differences in key brain regions between those with ASD and typically developing individuals, revealing neuroanatomical deviations that correlate with genetic predisposition and symptom severity.
  • - Findings support the connection between brain structure and the molecular mechanisms involved in ASD, suggesting pathways for tailored therapeutic interventions and better understanding of the disorder's complexity.
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Background: Autism spectrum disorder (ASD) has a high cost to affected individuals and society, but treatments for core symptoms are lacking. To expand intervention options, it is crucial to gain a better understanding of potential treatment targets, and their engagement, in the brain. For instance, the striatum (caudate, putamen, and nucleus accumbens) plays a central role during development and its (atypical) functional connectivity (FC) may contribute to multiple ASD symptoms.

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A metric called the Hurst exponent could be a useful biomarker for studies exploring brain differences between men and women with autism spectrum disorder.

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Autism spectrum disorder (ASD) is a high cost neurodevelopmental condition; and there are currently no effective pharmacological treatments for its core symptoms. This has led some families and researchers to trial alternative remedies - including the non-intoxicating Cannabis sativa-derived compound cannabidivarin (CBDV). However, how CBDV affects the human brain is unknown.

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Background: The potential benefits of cannabis and its major non-intoxicating component cannabidiol (CBD) are attracting attention, including as a potential treatment in neurodevelopmental disorders such as autism spectrum disorder (ASD). However, the neural action of CBD, and its relevance to ASD, remains unclear. We and others have previously shown that response to drug challenge can be measured using functional magnetic resonance imaging (fMRI), but that pharmacological responsivity is atypical in ASD.

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