Molecular Autism

Scope & Guideline

Bridging disciplines to illuminate autism's complexities.

Introduction

Immerse yourself in the scholarly insights of Molecular Autism with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2040-2392
PublisherBMC
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2010 to 2024
AbbreviationMOL AUTISM / Mol. Autism
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

Molecular Autism primarily aims to advance the understanding of autism spectrum disorders (ASD) through multidisciplinary research. The journal focuses on genetic, neurobiological, and psychosocial aspects of autism, promoting studies that facilitate the development of effective interventions and diagnostic tools.
  1. Genetic and Molecular Mechanisms:
    Research exploring the genetic underpinnings of autism, including studies on gene variants, haploinsufficiencies, and their roles in neurodevelopmental pathways.
  2. Neurodevelopmental Profiles:
    Investigations into the neuroanatomical and functional brain correlates of autism, including neuroimaging studies and animal models that reveal structural and connectivity alterations.
  3. Behavioral Phenotyping:
    Studies focusing on the behavioral manifestations of autism, including social cognition, sensory processing, and repetitive behaviors, often employing psychometric evaluations and observational methodologies.
  4. Intervention and Treatment Strategies:
    Research evaluating pharmacological and non-pharmacological interventions for autism, including clinical trials and systematic reviews aimed at improving clinical outcomes.
  5. Environmental and Societal Factors:
    Exploration of the impact of prenatal and early-life environmental factors on the development of autism, as well as societal implications and support mechanisms for individuals with autism.
Recent publications in Molecular Autism have highlighted several emerging themes that reflect the evolving landscape of autism research. These trends suggest a growing interest in integrating genetic, neurobiological, and psychosocial perspectives.
  1. Multimodal Approaches to Autism Research:
    There is an increasing trend towards integrating various research methodologies, including genetic, neuroimaging, and behavioral studies, to provide a more comprehensive understanding of autism.
  2. Neurobiological Mechanisms and Biomarkers:
    Recent studies are focusing on identifying biomarkers for autism, which could lead to more accurate diagnoses and targeted interventions, reflecting a shift towards precision medicine in autism care.
  3. Impact of Gut-Brain Axis:
    Emerging research on the role of the gut microbiome in autism is gaining traction, exploring how gut health may influence neurodevelopment and behavior.
  4. Social and Emotional Functioning:
    There is a heightened emphasis on understanding the social and emotional aspects of autism, including studies on social cognition, emotional regulation, and the mental health of autistic individuals.
  5. Developmental Trajectories and Lifespan Studies:
    Research is increasingly focusing on the longitudinal aspects of autism, examining how traits and behaviors evolve from childhood into adulthood, which is crucial for developing effective interventions across the lifespan.

Declining or Waning

While Molecular Autism has maintained a broad focus on various aspects of autism research, certain themes have seen a decline in prominence over recent years. This may reflect shifting research priorities or advancements in understanding.
  1. Focus on Single Genetic Disorders:
    Although early research often concentrated on specific genetic syndromes associated with autism (e.g., fragile X syndrome), there has been a shift towards broader genetic studies that encompass polygenic risks and interactions.
  2. Traditional Diagnostic Approaches:
    The reliance on established diagnostic tools (like ADOS) has decreased, as newer methodologies and technologies (e.g., machine learning, neuroimaging) are increasingly being adopted for more nuanced understanding.
  3. Basic Animal Models without Translational Focus:
    Research involving basic animal models that do not connect findings to human autism traits or clinical relevance appears to be waning, with a greater emphasis now on translational studies that bridge basic science and clinical application.

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