NEUROIMAGE

Scope & Guideline

Illuminating the Intricacies of the Human Mind

Introduction

Delve into the academic richness of NEUROIMAGE with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1053-8119
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 1992 to 2024
AbbreviationNEUROIMAGE / Neuroimage
Frequency20 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address525 B ST, STE 1900, SAN DIEGO, CA 92101-4495

Aims and Scopes

NEUROIMAGE focuses on the advancement of neuroimaging science, integrating various imaging modalities to explore brain structure, function, and connectivity. The journal aims to provide insights into the neural underpinnings of behavior, cognition, and disease through innovative imaging techniques and analyses.
  1. Neuroimaging Methodology:
    The journal emphasizes the development and application of advanced neuroimaging techniques, including fMRI, PET, MEG, and EEG, to investigate brain function and structure.
  2. Clinical Applications:
    Research addressing the clinical implications of neuroimaging findings, particularly in understanding neurological and psychiatric disorders, is a core focus.
  3. Cognitive Neuroscience:
    The exploration of the neural basis of cognitive processes such as memory, attention, and emotion through neuroimaging studies is a significant area of interest.
  4. Developmental and Aging Studies:
    The journal covers research that examines neurodevelopmental changes across the lifespan, as well as age-related alterations in brain structure and function.
  5. Interdisciplinary Approaches:
    NEUROIMAGE encourages interdisciplinary research that combines neuroimaging with genetics, psychology, and computational modeling to enhance understanding of brain function.
  6. Data Sharing and Open Science:
    The journal promotes transparency and reproducibility in neuroimaging research by advocating for data sharing and the use of standardized methodologies.
Recent trends in NEUROIMAGE publications indicate a shift towards innovative methodologies and interdisciplinary approaches that reflect the evolving landscape of neuroimaging research.
  1. Integration of AI and Machine Learning:
    The application of artificial intelligence and machine learning techniques for analyzing neuroimaging data is rapidly growing, providing new insights and improving diagnostic capabilities.
  2. Real-time Neuroimaging:
    Research focusing on real-time neuroimaging techniques is on the rise, allowing for the investigation of dynamic brain processes and cognitive tasks as they occur.
  3. Neurovascular Coupling Studies:
    There is an increasing interest in understanding the relationship between neural activity and cerebrovascular function, highlighting the importance of neurovascular coupling in brain health.
  4. Focus on Individual Differences:
    Emerging studies are concentrating on individual variability in brain structure and function, particularly in relation to cognitive performance and psychiatric conditions.
  5. Longitudinal Studies:
    Longitudinal neuroimaging studies that track changes over time are gaining prominence, providing insights into developmental trajectories and the effects of interventions.
  6. Translational Research:
    There is a growing trend towards research that bridges basic neuroscience and clinical applications, emphasizing the importance of neuroimaging in understanding and treating neurological disorders.

Declining or Waning

As research priorities evolve, certain themes within NEUROIMAGE have shown signs of reduced prominence in recent publications. This section highlights these waning areas of focus.
  1. Basic Animal Studies:
    Research primarily focused on basic neuroimaging studies in animal models has seen a decline, as there is a growing emphasis on human studies and translational research.
  2. Single Modality Studies:
    There is a noticeable reduction in studies that utilize only one imaging modality, as the trend shifts towards multi-modal approaches that provide a more comprehensive understanding of brain function.
  3. Focus on Static Structural Imaging:
    The focus on static structural imaging techniques, such as traditional MRI, is waning in favor of dynamic imaging methods that capture brain activity over time.
  4. Research on Non-specific Cognitive Tasks:
    Studies examining non-specific cognitive tasks without clear hypotheses or connections to broader cognitive theories are becoming less common, as the field moves towards more targeted investigations.

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