A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders

被引：80

作者：

Marschik, Peter B. ^{[1
,2
,3
]}

Pokorny, Florian B. ^{[1
,3
,4
]}

Peharz, Robert ^{[1
,3
]}

Zhang, Dajie ^{[1
]}

O'Muircheartaigh, Jonathan ^{[5
,6
]}

Roeyers, Herbert ^{[7
]}

Bolte, Sven ^{[2
,8
]}

Spittle, Alicia J. ^{[9
,10
,11
]}

Urlesberger, Berndt ^{[12
]}

Schuller, Bjoern ^{[13
,14
]}

Poustka, Luise ^{[15
]}

Ozonoff, Sally ^{[16
]}

Pernkopf, Franz ^{[17
]}

Pock, Thomas ^{[18
]}

Tammimies, Kristiina ^{[2
,8
]}

Enzinger, Christian ^{[19
,20
]}

Krieber, Magdalena ^{[1
]}

Tomantschger, Iris ^{[1
]}

Bartl-Pokorny, Katrin D. ^{[1
]}

Sigafoos, Jeff ^{[21
]}

Roche, Laura ^{[21
]}

Esposito, Gianluca ^{[22
,23
]}

Gugatschka, Markus ^{[24
]}

Nielsen-Saines, Karin ^{[25
]}

Einspieler, Christa ^{[1
]}

Kaufmann, Walter E. ^{[26
,27
,28
]}

机构：

[1] Med Univ Graz, Ctr Physiol Med, Res Unit iDN Interdisciplinary Dev Neurosci, Inst Physiol, Harrachgasse 21-5, A-8010 Graz, Austria

[2] Karolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodevelopmental Disorders KIND, Stockholm, Sweden

[3] BioTechMed Graz, BEE PRI, Graz, Austria

[4] Tech Univ Munich, Machine Intelligence & Signal Proc Grp, MMK, Munich, Germany

[5] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Neuroimaging, London, England

[6] Kings Coll London, St Thomas Hosp, Div Imaging Sci & Biomed Engn, Ctr Developing Brain, London, England

[7] Univ Ghent, Dept Expt Clin & Hlth Psychol, Ghent, Belgium

[8] Stockholm Cty Council, Ctr Psychiat Res, Child & Adolescent Psychiat, Stockholm, Sweden

[9] Univ Melbourne, Melbourne, Vic, Australia

[10] Murdoch Childrens Res Inst, Melbourne, Vic, Australia

[11] Royal Womens Hosp, Melbourne, Vic, Australia

[12] Med Univ Graz, Div Neonatol, Dept Pediat & Adolescence Med, Graz, Austria

[13] Univ Passau, Chair Complex & Intelligent Syst, Passau, Germany

[14] Imperial Coll London, Machine Learning Grp, London, England

[15] Med Univ Vienna, Dept Child & Adolescent Psychiat, Vienna, Austria

[16] Univ Calif Sacramento, MIND Inst, Davis Hlth Syst, Sacramento, CA USA

[17] Graz Univ Technol, Signal Proc & Speech Commun Lab, Graz, Austria

[18] Graz Univ Technol, Inst Comp Graph & Vis, Graz, Austria

[19] Med Univ Graz, Dept Neurol, Graz, Austria

[20] Med Univ Graz, Dept Radiol, Div Neuroradiol Vasc & Intervent Radiol, Graz, Austria

[21] Victoria Univ Wellington, Sch Educ, Wellington, New Zealand

[22] Nanyang Technol Univ, Div Psychol HSS, Social & Affect Neurosci Lab, Singapore, Singapore

[23] Univ Trento, Dept Psychol & Cognit Sci, Affiliat Behav & Physiol Lab, Trento, Italy

[24] Med Univ Graz, Dept Phoniatr, Graz, Austria

[25] Univ Calif Los Angeles, David Geffen Sch Med, Div Infect Dis, Los Angeles, CA 90095 USA

[26] Greenwood Genet Ctr, Ctr Translat Res, Greenwood, SC 29646 USA

[27] Boston Childrens Hosp, Dept Neurol, Boston, MA USA

[28] Harvard Med Sch, Boston, MA USA

来源：

CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS | 2017年 / 17卷 / 05期

基金：

奥地利科学基金会;

关键词：

Computer vision; Diagnosis; Early humandevelopment; Intelligent vocalisation analysis; Multidimensional assessment; Neurodevelopmental disorders; AUTISM SPECTRUM DISORDER; CENTRAL PATTERN GENERATORS; WHITE-MATTER DEVELOPMENT; CENTRAL-NERVOUS-SYSTEM; RETT-SYNDROME; HIGH-RISK; GENETIC-DISORDERS; INFANT SIBLINGS; CEREBRAL-PALSY; MOTOR BEHAVIOR;

D O I：

10.1007/s11910-017-0748-8

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Purpose of Review Substantial research exists focusing on the various aspects and domains of early human development. However, there is a clear blind spot in early postnatal development when dealing with neurodevelopmental disorders, especially those that manifest themselves clinically only in late infancy or even in childhood. Recent Findings This early developmental period may represent an important timeframe to study these disorders but has historically received far less research attention. We believe that only a comprehensive interdisciplinary approach will enable us to detect and delineate specific parameters for specific neurodevelopmental disorders at a very early age to improve early detection/diagnosis, enable prospective studies and eventually facilitate randomised trials of early intervention. Summary In this article, we propose a dynamic framework for characterising neurofunctional biomarkers associated with specific disorders in the development of infants and children. We have named this automated detection 'Fingerprint Model', suggesting one possible approach to accurately and early identify neurodevelopmental disorders.

引用

页数：15

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