HUMAN BRAIN MAPPING

Scope & Guideline

Innovating techniques for a deeper understanding of the mind.

Introduction

Welcome to your portal for understanding HUMAN BRAIN MAPPING, 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
ISSN1065-9471
PublisherWILEY
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 1993 to 2024
AbbreviationHUM BRAIN MAPP / Hum. Brain Mapp.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The journal "Human Brain Mapping" focuses on advancing the understanding of the human brain through various neuroimaging techniques and methodologies. It aims to present innovative research that elucidates brain structure, function, and connectivity, emphasizing the interplay between neuroimaging, cognitive processes, and clinical applications.
  1. Neuroimaging Techniques:
    The journal covers a wide range of neuroimaging modalities, including MRI, fMRI, PET, EEG, and MEG, facilitating comprehensive studies on brain structure and function.
  2. Cognitive Neuroscience:
    Research published in the journal often explores cognitive processes such as memory, attention, language, and emotion, linking neuroimaging findings to cognitive theories and models.
  3. Clinical Applications:
    The journal highlights studies that investigate the neural underpinnings of various neurological and psychiatric disorders, aiming to improve diagnosis and treatment strategies through neuroimaging.
  4. Developmental and Aging Studies:
    There is a strong emphasis on research examining brain development across the lifespan, including studies on aging, neuroplasticity, and the impact of environmental factors on brain structure and function.
  5. Multimodal Approaches:
    The journal encourages studies that integrate multiple neuroimaging modalities or combine neuroimaging with other techniques (e.g., genetics, behavioral assessments) to provide a more holistic view of brain function.
The journal "Human Brain Mapping" is witnessing exciting trends and emerging themes that reflect the evolving landscape of neuroscience research. This section outlines these trends, indicating areas of growing interest and innovation.
  1. Machine Learning and AI in Neuroimaging:
    There is a significant rise in the application of machine learning and artificial intelligence techniques for analyzing neuroimaging data, enabling researchers to uncover complex patterns and improve predictive modeling.
  2. Dynamic Functional Connectivity:
    Recent publications increasingly focus on dynamic functional connectivity, exploring how brain networks fluctuate over time and their implications for cognitive processes and mental health.
  3. Neurodevelopmental and Lifespan Studies:
    Research examining brain changes across the lifespan, particularly in neurodevelopmental and aging contexts, is gaining momentum, reflecting a growing interest in how brain function evolves with age and experience.
  4. Integration of Multimodal Data:
    There is a trend towards integrating diverse data types, such as genetic, behavioral, and neuroimaging data, to provide a more comprehensive understanding of brain function and its relationships to behavior and health.
  5. Neuroimaging in Neuropsychiatric Disorders:
    An increasing number of studies are focusing on the neurobiological underpinnings of neuropsychiatric disorders, using neuroimaging to identify biomarkers for diagnosis and treatment response.

Declining or Waning

While "Human Brain Mapping" continues to thrive in many areas, certain themes have seen a decline in prominence over recent years. This section highlights these waning scopes, reflecting shifts in research focus and methodological preferences.
  1. Traditional Structural MRI Studies:
    Although structural MRI remains important, there has been a noticeable decline in standalone studies focusing solely on structural measurements without integrating functional or connectivity analyses.
  2. Single-Group Studies:
    Research designs that focus exclusively on single groups without comparative analyses are becoming less prevalent, as the field moves toward more robust, multi-group and longitudinal studies.
  3. Basic Neuroscience without Clinical Relevance:
    There is a diminishing interest in purely basic neuroscience studies that do not connect findings to clinical implications or applications, as researchers increasingly seek to address real-world health issues.
  4. Static Functional Connectivity Analysis:
    The focus on static functional connectivity analyses is waning in favor of dynamic connectivity approaches, which provide a more nuanced understanding of brain network interactions over time.
  5. Simple Correlational Studies:
    Studies that rely solely on simple correlation analyses without more complex modeling or machine learning techniques are experiencing reduced publication frequency, as the field emphasizes advanced analytical methods.

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