Clinical EEG and Neuroscience

Top Research Topics at Clinical Eeg and Neuroscience?

The discussions in Clinical Eeg and Neuroscience mainly cover the fields of Electroencephalography, Audiology, Neuroscience, Anesthesia and Epilepsy. Research on Electroencephalography presented in it concerns the broader topic of Psychiatry. In addition to Audiology research, the journal aims to explore topics under Developmental psychology, Stimulus (physiology) and Cognition, Event-related potential.

Clinical Eeg and Neuroscience explores research in Neuroscience and the adjacent study of Electrodiagnosis. The study on Anesthesia featured in it expounds on the topic of Somatosensory evoked potential in particular. It explores topics in Epilepsy which can be helpful for research in disciplines like Central nervous system disease and Surgery.

Clinical Eeg and Neuroscience facilitates discussions on Internal medicine that incorporate concepts from other fields like Endocrinology and Cardiology.

• Electroencephalography (58.47%)
• Audiology (26.42%)
• Neuroscience (21.62%)

What are the most cited papers published in the journal?

• Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-Analysis (571 citations)
• The Influence of Substance Use on Adolescent Brain Development (351 citations)
• A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke. (265 citations)

Research areas of the most cited articles at Clinical Eeg and Neuroscience:

The journal publications investigate areas of study like Electroencephalography, Neuroscience, Audiology, Psychiatry and Epilepsy. Quantitative eeg is a major topic of Electroencephalography research in the most cited publications. While Audiology is the key highlight in the published articles, thet also covered some subjects on Neurofeedback and Physical medicine and rehabilitation.

What topics the last edition of the journal is best known for?

• Internal medicine
• Disease
• Surgery

The previous edition focused in particular on these issues:

The main points discussed in Clinical Eeg and Neuroscience deals with Electroencephalography, Audiology, Cognition, Neuroscience and Epilepsy. In particular, the Electroencephalography works presented emphasize discussions on Neurofeedback. While the primary focus in Clinical Eeg and Neuroscience is Audiology, it also dissects topics surrounding Alpha (ethology) and Prefrontal cortex as a whole.

While Cognition is the focus of Clinical Eeg and Neuroscience, it also provided insights into the studies of Major depressive disorder and Disease. Neuroscience and Traumatic brain injury are closely related fields of research discussed in Clinical Eeg and Neuroscience. Some problems in Artificial intelligence that were presented in Clinical Eeg and Neuroscience overlapped with concepts under Mood disorders and Pattern recognition.

The most cited articles from the last journal are:

• Neurophysiological Findings and Brain Injury Pattern in Patients on ECMO (14 citations)
• Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach. (10 citations)
• Perampanel Increases Cortical EEG Fast Activity in Child and Adult Patients Affected by Epilepsy: A Quantitative EEG Study. (6 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Clinical Eeg and Neuroscience (based on the number of publications) are:

• John R. Hughes (45 papers) absent at the last edition,
• Ernst Niedermeyer (40 papers) absent at the last edition,
• Miles E. Drake (31 papers) absent at the last edition,
• Betül Baykan (16 papers) absent at the last edition,
• Serap Saygi (16 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Clinical Eeg and Neuroscience (based on the number of publications) are:

• Johns Hopkins University School of Medicine (43 papers) published 1 paper at the last edition,
• Ohio State University (42 papers) absent at the last edition,
• University of Illinois at Urbana–Champaign (38 papers) published 1 paper at the last edition,
• Wayne State University (34 papers) absent at the last edition,
• Istanbul University (33 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 19.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 72.22% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Clinical EEG and Neuroscience

The possibilities for a rewarding career in the field of Clinical EEG and Neuroscience are broad and multifaceted. For instance, those with a specialization in speech-language pathology are often highly sought after in neuroscience research facilities. To become a speech-language pathologist, people typically need to fulfill specific state license requirements, demonstrating their competency and expertise in the field.

Considering the increasing demand for speech-language pathologists in neuroscience, it might be beneficial for people to be informed about the requirements and competencies needed for this profession in different states. For example, to understand the particular obligations in Maine, interested individuals can review the maine slp license requirements.

Aside from becoming speech-language pathologists, there are also other professions related to Clinical EEG and Neuroscience. This includes Electroencephalography Technicians, Neuropsychologists, and Neurologists, all of whom play a substantial role in both the medical field and research-oriented sectors. Therefore, cultivating the necessary skills and fulfilling specific requirements like licensure can pave the way for a promising career in this dynamic sphere.