Brain Connectivity

Top Research Topics at Brain connectivity?

The topics of Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Functional connectivity and Brain mapping are the focal point of discussions in Brain connectivity. The studies tackled, which mainly focus on Neuroscience, apply to Magnetic resonance imaging as well. White matter and Diffusion MRI are all subfields of Magnetic resonance imaging research that were featured in the journal.

It facilitates discussions on Resting state fMRI that incorporate concepts from other fields like Audiology, Connectome, Developmental psychology, Artificial intelligence and Pattern recognition. Brain connectivity links adjacent topics like Artificial intelligence with Communication. Functional magnetic resonance imaging research featured in Brain connectivity incorporates concerns from various other topics such as Cognitive psychology, Prefrontal cortex, Human brain, Voxel and Brain activity and meditation.

Resting state functional magnetic resonance imaging is a focus of the Functional connectivity works in the journal. Many of the studies tackled connect Brain mapping with a similar field of study like Nerve net. Brain connectivity focused on Default mode network research but expanded to cover Posterior cingulate.

• Neuroscience (55.63%)
• Resting state fMRI (34.23%)
• Functional magnetic resonance imaging (33.52%)

What are the most cited papers published in the journal?

• Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2221 citations)
• Functional and effective connectivity: a review. (1957 citations)
• Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression (702 citations)

Research areas of the most cited articles at Brain connectivity:

The journal articles cover a variety of subjects, including Neuroscience, Resting state fMRI, Brain mapping, Functional magnetic resonance imaging and Default mode network. The journal publications focus on Neuroscience research which is adjacent to topics in Magnetic resonance imaging. The most cited papers deal with Brain mapping in conjunction with Connectome and similar fields in Interpretability.

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

• Internal medicine
• Statistics
• Neuroscience

The previous edition focused in particular on these issues:

Brain connectivity tackles a plethora of topics, such as Neuroscience, Functional connectivity, Resting state fMRI, Functional magnetic resonance imaging and Cognition. The study of Neuroscience encompasses disciplines such as Diffusion MRI, as well as fields such as White matter, all of which overlap with one another. Aside from investigating topics in Functional networks under Functional connectivity, the journal also explores concepts in In patient.

Multiple sclerosis, Dementia, Artificial intelligence and Pattern recognition are some topics wherein Resting state fMRI research discussed in the journal have an impact. It holds forums on Functional magnetic resonance imaging that merges themes from other disciplines such as Cognitive psychology and Magnetic resonance imaging. Brain network is a major topic of Cognition research presented in Brain connectivity.

The most cited articles from the last journal are:

• High-order interdependencies in the aging brain. (5 citations)
• Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints (5 citations)
• Aberrant dynamic functional connectivity of default mode network predicts symptom severity in major depressive disorder. (5 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 Brain connectivity (based on the number of publications) are:

• Paul Edison (25 papers) published 9 papers at the last edition, 4 less than at the previous edition,
• Vince D. Calhoun (21 papers) published 8 papers at the last edition, 6 more than at the previous edition,
• Bharat B. Biswal (13 papers) published 2 papers at the last edition,
• Mukesh Dhamala (12 papers) absent at the last edition,
• Bhim M. Adhikari (9 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 Brain connectivity (based on the number of publications) are:

• Harvard University (34 papers) published 13 papers at the last edition, 11 more than at the previous edition,
• Georgia Institute of Technology (23 papers) published 9 papers at the last edition, 7 more than at the previous edition,
• Yale University (21 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Georgia State University (21 papers) published 5 papers at the last edition, 4 more than at the previous edition,
• University of Wisconsin-Madison (20 papers) absent at the last 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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.83% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 55.00% 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.

Potential Career Pathways for Neuroscience Graduates

Despite the complex nature of Brain connectivity and the intertwining fields it encompasses, there are various career paths that are particularly suitable for students and professionals in this discipline. One lucrative direction is to become a Speech-Language Pathologist, a profession that revolves around diagnosing and treating communication and swallowing disorders, stemming from various causes including stroke, brain injury, hearing loss, or development delay. This fits well into the broader neuroscience framework as effective communication is closely tied to brain functions and connectivity.

The state of Washington has established thorough requirements for practicing as a Speech-Language Pathologist, ensuring that only highly trained and qualified individuals are licensed to perform this crucial work. The requirements include completing a master's or doctoral degree, doing clinical practicum, passing national exams, and completing a professional experience requirement.

The comprehensive details of the licensure process can be found at washington slp license requirements. This career, along with many others, demonstrates the diverse applications of the knowledge and skills honed in the field of brain connectivity and neuroscience. As technology and our understanding of the human brain evolve, so too will the prospects for career growth in this fascinating field.