| Title |
Future Directions for Examination of Brain Networks in Neurodevelopmental Disorders
|
|---|---|
| Published in |
Journal of Clinical Child & Adolescent Psychology, April 2018
|
| DOI | 10.1080/15374416.2018.1443461 |
| Pubmed ID | |
| Authors | |
| Abstract |
Neurodevelopmental disorders are associated with atypical development and maturation of brain networks. A recent focus on human connectomics research and the growing popularity of open science initiatives has created the ideal climate in which to make real progress toward understanding the neurobiology of disorders affecting youth. Here we outline future directions for neuroscience researchers examining brain networks in neurodevelopmental disorders, highlighting gaps in the current literature. We emphasize the importance of leveraging large neuroimaging and phenotypic data sets recently made available to the research community, and we suggest specific novel methodological approaches, including analysis of brain dynamics and structural connectivity, that have the potential to produce the greatest clinical insight. Transdiagnostic approaches will also become increasingly necessary as the Research Domain Criteria framework put forth by the National Institute of Mental Health permeates scientific discourse. During this exciting era of big data and increased computational sophistication of analytic tools, the possibilities for significant advancement in understanding neurodevelopmental disorders are limitless. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 24% |
| United Kingdom | 1 | 6% |
| Switzerland | 1 | 6% |
| Australia | 1 | 6% |
| Germany | 1 | 6% |
| Spain | 1 | 6% |
| Canada | 1 | 6% |
| Greece | 1 | 6% |
| Brazil | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 10 | 11% |
| Researcher | 10 | 11% |
| Student > Doctoral Student | 8 | 9% |
| Other | 15 | 16% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 20 | 21% |
| Neuroscience | 14 | 15% |
| Medicine and Dentistry | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 19 | 20% |
| Unknown | 26 | 28% |