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Identification of neurophysiological biotypes in attention deficit hyperactivity disorder.

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Title: Identification of neurophysiological biotypes in attention deficit hyperactivity disorder.
Authors: Barth, Beatrix, Mayer‐Carius, Kerstin, Strehl, Ute, Kelava, Augustin, Häußinger, Florian Benedikt, Fallgatter, Andreas Jochen, Ehlis, Ann‐Christine
Source: Psychiatry & Clinical Neurosciences. Nov2018, Vol. 72 Issue 11, p836-848. 13p. 3 Charts, 2 Graphs.
Subjects: Attention-deficit hyperactivity disorder, Neurophysiology, Cluster analysis (Statistics), Electrophysiology, Short-term memory, Behavior disorders
Abstract: Aim: Findings on neurophysiological alterations in attention deficit hyperactivity disorder (ADHD) have been proposed to underlie ADHD symptoms, with different etiological pathways for different patient biotypes. We aimed at determining whether neurophysiological deviations confirm distinct neurophysiological profiles in ADHD, thus providing direct evidence for the endophenotype concept. Methods: Neurophysiological biotypes were investigated in 87 adult patients with ADHD using cluster analysis. Parameters fed into the analysis comprised both hemodynamic and electrophysiological data. To validate results, the independent variables of the clusters were compared with healthy controls. Results: Cluster analysis yielded three neurophysiologically based ADHD biotypes showing: (i) above‐average functioning in attention allocation; (ii) difficulties in attention allocation and inhibitory control but elevated frontal activation during a working memory task; and (iii) functional impairments in state regulation. Conclusion: Classifying patients with ADHD into neurophysiological biotypes sheds light on etiological pathways, with implications for diagnostics and (individualized) treatment options. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Identification of neurophysiological biotypes in attention deficit hyperactivity disorder.
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  Data: <searchLink fieldCode="AR" term="%22Barth%2C+Beatrix%22">Barth, Beatrix</searchLink><br /><searchLink fieldCode="AR" term="%22Mayer‐Carius%2C+Kerstin%22">Mayer‐Carius, Kerstin</searchLink><br /><searchLink fieldCode="AR" term="%22Strehl%2C+Ute%22">Strehl, Ute</searchLink><br /><searchLink fieldCode="AR" term="%22Kelava%2C+Augustin%22">Kelava, Augustin</searchLink><br /><searchLink fieldCode="AR" term="%22Häußinger%2C+Florian+Benedikt%22">Häußinger, Florian Benedikt</searchLink><br /><searchLink fieldCode="AR" term="%22Fallgatter%2C+Andreas+Jochen%22">Fallgatter, Andreas Jochen</searchLink><br /><searchLink fieldCode="AR" term="%22Ehlis%2C+Ann‐Christine%22">Ehlis, Ann‐Christine</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Nov2018, Vol. 72 Issue 11, p836-848. 13p. 3 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Attention-deficit+hyperactivity+disorder%22">Attention-deficit hyperactivity disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Neurophysiology%22">Neurophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electrophysiology%22">Electrophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22Short-term+memory%22">Short-term memory</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+disorders%22">Behavior disorders</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Aim: Findings on neurophysiological alterations in attention deficit hyperactivity disorder (ADHD) have been proposed to underlie ADHD symptoms, with different etiological pathways for different patient biotypes. We aimed at determining whether neurophysiological deviations confirm distinct neurophysiological profiles in ADHD, thus providing direct evidence for the endophenotype concept. Methods: Neurophysiological biotypes were investigated in 87 adult patients with ADHD using cluster analysis. Parameters fed into the analysis comprised both hemodynamic and electrophysiological data. To validate results, the independent variables of the clusters were compared with healthy controls. Results: Cluster analysis yielded three neurophysiologically based ADHD biotypes showing: (i) above‐average functioning in attention allocation; (ii) difficulties in attention allocation and inhibitory control but elevated frontal activation during a working memory task; and (iii) functional impairments in state regulation. Conclusion: Classifying patients with ADHD into neurophysiological biotypes sheds light on etiological pathways, with implications for diagnostics and (individualized) treatment options. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Nov2018
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