Title |
Why Autism Must be Taken Apart
|
---|---|
Published in |
Journal of Autism and Developmental Disorders, January 2014
|
DOI | 10.1007/s10803-013-2030-5 |
Pubmed ID | |
Authors |
Lynn Waterhouse, Christopher Gillberg |
Abstract |
Although accumulated evidence has demonstrated that autism is found with many varied brain dysfunctions, researchers have tried to find a single brain dysfunction that would provide neurobiological validity for autism. However, unitary models of autism brain dysfunction have not adequately addressed conflicting evidence, and efforts to find a single unifying brain dysfunction have led the field away from research to explore individual variation and micro-subgroups. Autism must be taken apart in order to find neurobiological treatment targets. Three research changes are needed. The belief that there is a single defining autism spectrum disorder brain dysfunction must be relinquished. The noise caused by the thorny brain-symptom inference problem must be reduced. Researchers must explore individual variation in brain measures within autism. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 18% |
Canada | 3 | 11% |
United Kingdom | 2 | 7% |
Germany | 1 | 4% |
Ireland | 1 | 4% |
Kenya | 1 | 4% |
Unknown | 15 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 57% |
Scientists | 9 | 32% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Netherlands | 2 | 2% |
Finland | 1 | <1% |
Germany | 1 | <1% |
Unknown | 106 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 26% |
Researcher | 16 | 14% |
Student > Doctoral Student | 12 | 11% |
Student > Master | 10 | 9% |
Student > Bachelor | 10 | 9% |
Other | 23 | 21% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 49 | 44% |
Medicine and Dentistry | 12 | 11% |
Social Sciences | 9 | 8% |
Agricultural and Biological Sciences | 8 | 7% |
Neuroscience | 5 | 4% |
Other | 15 | 13% |
Unknown | 14 | 13% |