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Early predictors in language-based learning disabilities: a bibliometric analysis.
Alabbad, Maryam; Khan, Muhammad Ajmal; Siddique, Nadeem; Hassan, Jaber Abou; Bashir, Shahid; Abualait, Turki.
Afiliación
  • Alabbad M; Department of Medical Rehabilitation and Long-Term Care, Al-Ahsa Health Cluster, Al-Ahsa, Saudi Arabia.
  • Khan MA; College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Siddique N; Deanship of Library Affairs, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Hassan JA; Library Department, Lahore University of Management Sciences, Lahore, Pakistan.
  • Bashir S; Department of Medical Rehabilitation and Long-Term Care, Al-Ahsa Health Cluster, Al-Ahsa, Saudi Arabia.
  • Abualait T; Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Front Psychiatry ; 14: 1229580, 2023.
Article en En | MEDLINE | ID: mdl-38111620
ABSTRACT

Introduction:

Language-based learning disabilities (LBLD) refers to a spectrum of neurodevelopmental-associated disorders that are characterized by cognitive and behavioral differences in comprehending, processing and utilizing spoken and/or written language. The focus of this work was on identifying early predictors of three main specific LBLD including dyslexia, dyscalculia, and dysgraphia.

Methods:

The Web of Science (WoS) was searched for literature related to (neurocognitive, neurophysiological, and neuroimaging) measurements used to identify early predictors of LBLD from 1991 to 25 October 2021. A retrospective bibliometric analysis was performed to analyze collaboration among countries, institutions, authors, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, and burst keywords using Biblioanalytics software.

Results:

In total, 921 publications related to the identification of LBLD using (neurocognitive, neurophysiological, and neuroimaging) modalities were included. The data analysis shows a slow growth in research on the topic in the 90s and early 2000 and growing trend in recent years. The most prolific and cited journal is Neuroimage, followed by Neuropsychologia. The United States and Finland's Universities Jyvaskyla and Helsinki are the leading country and institution in this field, respectively. "Neuroimaging," "brain," "fMRI," "cognitive predictor," "comorbidity," "cortical thickness" were identified as hotspots and trends of (neurocognitive, neurophysiological, and neuroimaging) modalities in the identification of LBLD.

Discussion:

Early predictors of LBLDs would be useful as targets for specific prevention and intervention programs to be implemented at very young ages, which could have a significant clinical impact. A novel finding of neuroimaging predictors combined with neurocognitive and neuropsychological batteries may have implications for future research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza