title: High-gamma activity in an attention network predicts individual differences in elderly adults' behavioral performance.
abstract: The current study used a magnetoencephalogram to investigate the relationship between high-gamma (52-100 Hz) activity within an attention network and individual differences in behavioral performance among healthy elderly adults. We analyzed brain activity in 41 elderly subjects performing a 3-stimulus visual oddball task. In addition to the average amplitude of event-related fields in the left intraparietal sulcus (IPS), high-gamma power in the left middle frontal gyrus (MFG), the strength of high-gamma imaginary coherence between the right MFG and the left MFG, and those between the right MFG and the left thalamus predicted individual differences in reaction time. In addition, high-gamma power in the left MFG was correlated with task accuracy, whereas high-gamma power in the left thalamus and left IPS was correlated with individual processing speed. The direction of correlations indicated that higher high-gamma power or coherence in an attention network was associated with better task performance and, presumably, higher cognitive function. Thus, high-gamma activity in different regions of this attention network differentially contributed to attentional processing, and such activity could be a fundamental process associated with individual differences in cognitive aging.
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: y-akimoto@brain.riken.jp.
authors: Yoritaka
authors: Y
authors: Akimoto
authors: Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: nozawa@idac.tohoku.ac.jp.
authors: Takayuki
authors: T
authors: Nozawa
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: akik@idac.tohoku.ac.jp.
authors: Akitake
authors: A
authors: Kanno
authors: Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: mizuki.naist@gmail.com.
authors: Mizuki
authors: M
authors: Ihara
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: goto@idac.tohoku.ac.jp.
authors: Takakuni
authors: T
authors: Goto
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: t.ogawa@atr.jp.
authors: Takeshi
authors: T
authors: Ogawa
authors: Faculty of Environment and Information Studies, Keio University, Kanagawa, Japan; Japan Society for the Promotion of Science (JSPS), Tokyo, Japan. Electronic address: kt0909@sfc.keio.ac.jp.
authors: Toshimune
authors: T
authors: Kambara
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; International Research Institute of Disaster Science, Tohoku University, Sendai, Japan. Electronic address: motoaki@idac.tohoku.ac.jp.
authors: Motoaki
authors: M
authors: Sugiura
authors: Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan. Electronic address: Eiichi.Okumura@jp.yokogawa.com.
authors: Eiichi
authors: E
authors: Okumura
authors: Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: ryuta@idac.tohoku.ac.jp.
authors: Ryuta
authors: R
authors: Kawashima
mesh_terms: D000368:Aged; D001288:Attention / Q000502:physiology*; D005260:Female; D005625:Frontal Lobe / Q000502:physiology*; D065818:Gamma Rhythm / Q000502:physiology*; D006801:Humans; D007206:Individuality; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*; D013788:Thalamus / Q000502:physiology*
keywords: Aging; Attention; High-gamma activities; Individual differences; Reaction time