Title |
Intervention for Infants at Risk of Developing Autism: A Case Series
|
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Published in |
Journal of Autism and Developmental Disorders, March 2013
|
DOI | 10.1007/s10803-013-1797-8 |
Pubmed ID | |
Authors |
Jonathan Green, Ming Wai Wan, Jeanne Guiraud, Samina Holsgrove, Janet McNally, Vicky Slonims, Mayada Elsabbagh, Tony Charman, Andrew Pickles, Mark Johnson, The BASIS Team |
Abstract |
Theory and evidence suggest the potential value of prodromal intervention for infants at risk of developing autism. We report an initial case series (n = 8) of a parent-mediated, video-aided and interaction-focused intervention with infant siblings of autistic probands, beginning at 8-10 months of age. We outline the theory and evidence base behind this model and present data on feasibility, acceptability and measures ranging from parent-infant social interaction, to infant atypical behaviors, attention and cognition. The intervention proves to be both feasible and acceptable to families. Measurement across domains was successful and on larger samples promise to be an effective test of whether such an intervention in infancy will modify emergent atypical developmental trajectories in infants at risk for autism. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
United Kingdom | 1 | 25% |
Canada | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Canada | 1 | <1% |
Unknown | 210 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 20% |
Student > Master | 37 | 17% |
Researcher | 31 | 14% |
Student > Doctoral Student | 22 | 10% |
Student > Bachelor | 12 | 6% |
Other | 27 | 13% |
Unknown | 44 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 81 | 38% |
Social Sciences | 21 | 10% |
Nursing and Health Professions | 18 | 8% |
Medicine and Dentistry | 13 | 6% |
Neuroscience | 7 | 3% |
Other | 15 | 7% |
Unknown | 60 | 28% |