BACKGROUND: Spontaneous very low frequency oscillations (VLFO: <0.2 Hz) in functional magnetic-resonance imaging are proposed to identify a default-mode network of resting brain activity. Activity in this network has been related to lapses of attention during goal-directed tasks and may provide a basis for ADHD. This study assessed the relation between scalp-recorded EEG VLFO at rest and ADHD. METHODS: 13 young adults with high- and 11 with low self-ratings of ADHD participated. Direct current EEG was recorded during a five minute rest session and was retested after approximately 1 week. RESULTS: A consistent and temporally stable pattern of VLFOs was observed across specific scalp regions in low-ADHD participants. High-ADHD participants had less VLFO power across these locations, especially where inattention self-ratings were high. Inattention was not related to VLFO power in other locations. DISCUSSION: Initial evidence is provided for a pattern of VLFOs at rest which is associated with inattention symptoms.
BACKGROUND: Spontaneous very low frequency oscillations (VLFO: <0.2 Hz) in functional magnetic-resonance imaging are proposed to identify a default-mode network of resting brain activity. Activity in this network has been related to lapses of attention during goal-directed tasks and may provide a basis for ADHD. This study assessed the relation between scalp-recorded EEG VLFO at rest and ADHD. METHODS: 13 young adults with high- and 11 with low self-ratings of ADHD participated. Direct current EEG was recorded during a five minute rest session and was retested after approximately 1 week. RESULTS: A consistent and temporally stable pattern of VLFOs was observed across specific scalp regions in low-ADHDparticipants. High-ADHDparticipants had less VLFO power across these locations, especially where inattention self-ratings were high. Inattention was not related to VLFO power in other locations. DISCUSSION: Initial evidence is provided for a pattern of VLFOs at rest which is associated with inattention symptoms.
Authors: Joshua K Grooms; Garth J Thompson; Wen-Ju Pan; Jacob Billings; Eric H Schumacher; Charles M Epstein; Shella D Keilholz Journal: Brain Connect Date: 2017-06
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