NeuroImage-Clinical

Scope & Guideline

Connecting Researchers and Clinicians in Neuroimaging Excellence

Introduction

Welcome to your portal for understanding NeuroImage-Clinical, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN2213-1582
PublisherELSEVIER SCI LTD
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2012 to 2024
AbbreviationNEUROIMAGE-CLIN / NeuroImage-Clin.
Frequency-
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

NeuroImage-Clinical is dedicated to advancing the understanding of the neural mechanisms underlying various clinical conditions through innovative neuroimaging techniques. The journal publishes high-quality research that explores the relationship between brain structure, function, and clinical outcomes, emphasizing the importance of neuroimaging in diagnosing and treating neurological and psychiatric disorders.
  1. Neuroimaging Techniques:
    The journal focuses on various neuroimaging modalities including MRI, fMRI, PET, and MEG, emphasizing their application in clinical settings to elucidate brain function and structure.
  2. Clinical Correlates of Neuroimaging Findings:
    A core area of interest is the relationship between neuroimaging findings and clinical outcomes, encompassing a wide range of disorders such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, and psychiatric conditions.
  3. Translational Research:
    NeuroImage-Clinical aims to bridge the gap between basic neuroscience and clinical practice, promoting studies that translate neuroimaging findings into meaningful clinical applications.
  4. Multimodal Imaging Approaches:
    The journal encourages the use of multimodal imaging techniques to provide a more comprehensive understanding of brain function and its relationship to behavior and clinical symptoms.
  5. Machine Learning and AI in Neuroimaging:
    There is a growing emphasis on the application of machine learning and artificial intelligence techniques to analyze neuroimaging data, enhancing diagnostic accuracy and predictive modeling.
NeuroImage-Clinical has witnessed the emergence of several trends that reflect the evolving landscape of neuroimaging research. These trends highlight the journal's responsiveness to advancements in technology and clinical needs.
  1. Integration of Machine Learning and AI:
    There is a growing trend towards utilizing machine learning and AI techniques for analyzing neuroimaging data, enhancing predictive modeling and diagnostic capabilities across various neurological and psychiatric disorders.
  2. Focus on Neuroinflammation and Neurodegeneration:
    Recent publications increasingly address the role of neuroinflammation and neurodegeneration, particularly in conditions such as Alzheimer's disease and multiple sclerosis, reflecting a heightened interest in these areas.
  3. Longitudinal and Developmental Studies:
    Emerging research emphasizes longitudinal studies that track changes in brain structure and function over time, particularly in pediatric and aging populations, to understand the progression of neurological conditions.
  4. Neuroimaging in Diverse Populations:
    There is an expanding focus on studying neuroimaging correlates in diverse populations, including minority groups and individuals with varying socioeconomic backgrounds, to better understand health disparities.
  5. Exploration of Brain-Behavior Relationships:
    An increasing number of studies are investigating the relationship between neuroimaging findings and behavioral or cognitive outcomes, emphasizing the clinical relevance of neuroimaging in understanding mental health disorders.

Declining or Waning

While NeuroImage-Clinical has consistently focused on the interplay between neuroimaging and clinical outcomes, certain themes appear to be waning in prominence. This may reflect shifts in research priorities or advancements in technology and methodology.
  1. Traditional Imaging Techniques:
    There is a noticeable decline in studies solely relying on traditional imaging techniques without integration of advanced methodologies such as machine learning or multimodal approaches.
  2. Single-Domain Focus Studies:
    Research focusing exclusively on a single neuroimaging modality or clinical condition is becoming less common, indicating a trend towards more integrative and comparative studies.
  3. Basic Neuroscience Research:
    The journal has shifted away from purely basic neuroscience studies, favoring research that directly links neuroimaging findings to clinical applications and outcomes.

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