Skip to main content
Download PDF
- Main
A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders
- Marschik, Peter B;
- Pokorny, Florian B;
- Peharz, Robert;
- Zhang, Dajie;
- O’Muircheartaigh, Jonathan;
- Roeyers, Herbert;
- Bölte, Sven;
- Spittle, Alicia J;
- Urlesberger, Berndt;
- Schuller, Björn;
- Poustka, Luise;
- Ozonoff, Sally;
- Pernkopf, Franz;
- Pock, Thomas;
- Tammimies, Kristiina;
- Enzinger, Christian;
- Krieber, Magdalena;
- Tomantschger, Iris;
- Bartl-Pokorny, Katrin D;
- Sigafoos, Jeff;
- Roche, Laura;
- Esposito, Gianluca;
- Gugatschka, Markus;
- Nielsen-Saines, Karin;
- Einspieler, Christa;
- Kaufmann, Walter E;
- The BEE-PRI Study Group
- et al.
Abstract
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. 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.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
For improved accessibility of PDF content, download the file to your device.
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Page Size:
-
Fast Web View:
-
Preparing document for printing…
0%