Aperiodic and periodic components of oscillatory brain activity in relation to cognition and symptoms in pediatric

Ornella Dakwar-Kawar1, Tal Mentch-Lifshits1, Shachar Hochman2

  • 1School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel.

Insights

Children with attention-deficit/hyperactivity disorder (ADHD) exhibit slower processing speeds and altered brain activity. Both periodic and aperiodic neural oscillations are linked to cognitive deficits in ADHD.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Child Psychiatry

Background:

  • Attention-deficit/hyperactivity disorder (ADHD) is associated with cognitive deficits, including impaired processing speed.
  • Aberrant neural oscillations, encompassing both periodic and aperiodic brain activity, are implicated in ADHD pathophysiology.
  • Understanding these neural mechanisms is crucial for evaluating cognitive dysfunction in ADHD.

Purpose of the Study:

  • To investigate differences in processing speed and resting-state electroencephalogram (EEG) neural oscillations between children with and without ADHD.
  • To examine the associations between neural oscillations and processing speed in children.
  • To explore the distinct roles of periodic and aperiodic neural activity in ADHD-related cognitive function.

Main Methods:

  • Resting-state EEG data were collected from children aged 6-12 years, with and without ADHD.
  • Spectral analysis using Fast Fourier Transform (FFT) was employed to assess periodic oscillations (theta, beta power, theta/beta ratio).
  • A parameterization method was used to quantify aperiodic activity (exponent), reflecting neuronal excitation-inhibition balance.

Main Results:

  • Children with ADHD showed increased fronto-central theta and beta power compared to controls, but no difference in the theta/beta ratio.
  • The ADHD group exhibited a higher aperiodic exponent, suggesting reduced neuronal excitation-inhibition.
  • The aperiodic exponent negatively correlated with processing speed across all children, while FFT-based theta power correlated with ADHD symptoms.

Conclusions:

  • Both periodic (theta, beta power) and aperiodic (exponent) neural activity components differ in children with ADHD.
  • The aperiodic exponent is a significant correlate of processing speed deficits in ADHD.
  • Periodic and aperiodic neural spectrum components offer complementary insights into evaluating processing speed in ADHD.

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