Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD)

作者：Poil S S; Bollmann S; Ghisleni C; O' Gorman R L; Klaver P; Ball J; Eich Hoechli D; Brandeis D^*; Michels L

来源：Clinical Neurophysiology, 2014, 125(8): 1626-1638.

DOI：10.1016/j.clinph.2013.12.118

• Attention-deficit/hyperactivity disorder
• Electroencephalography
• Eyes-closed resting-state
• Support vector machine
• Linear regression
• Development

Objective: Objective biomarkers for attention-deficit/hyperactivity disorder (ADHD) could improve diagnostics or treatment monitoring of this psychiatric disorder. The resting electroencephalogram (EEG) provides non-invasive spectral markers of brain function and development. Their accuracy as ADHD markers is increasingly questioned but may improve with pattern classification. %26lt;br%26gt;Methods: This study provides an integrated analysis of ADHD and developmental effects in children and adults using regression analysis and support vector machine classification of spectral resting (eyes-closed) EEG biomarkers in order to clarify their diagnostic value. %26lt;br%26gt;Results: ADHD effects on EEG strongly depend on age and frequency. We observed typical non-linear developmental decreases in delta and theta power for both ADHD and control groups. However, for ADHD adults we found a slowing in alpha frequency combined with a higher power in alpha-1 (8-10 Hz) and beta (13-30 Hz). Support vector machine classification of ADHD adults versus controls yielded a notable cross validated sensitivity of 67% and specificity of 83% using power and central frequency from all frequency bands. ADHD children were not classified convincingly with these markers. %26lt;br%26gt;Conclusions: Resting state electrophysiology is altered in ADHD, and these electrophysiological impairments persist into adulthood. %26lt;br%26gt;Significance: Spectral biomarkers may have both diagnostic and prognostic value.

• 出版日期2014-8
• 单位上海市精神卫生中心