Age-related effects on superior temporal gyrus activity during an auditory oddball task

Kovacevic, Sanja; Qualls, Clifford; Adair, John C.; Hudson, David; Woodruff, C. Chad; Knoefel, Janice E.; Lee, Roland R.; Stephen, Julia M.; Aine, Cheryl J.

doi:10.1097/00001756-200507130-00009

Cited by 22 publications

(15 citation statements)

References 19 publications

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“…The age-related increase in P1m amplitude is consistent with prior studies (Kovacevic et al, 2005;Pekkonen et al, 1995;Ross et al, 2009) and may reflect older adults' reduced ability to filter out task-irrelevant information (Alain and Woods, 1999;Chao and Knight, 1997;Gazzaley et al, 2005;West and Alain, 2000), which has been related to a decline in prefrontal inhibition (Alain and Woods, 1999;Chao and Knight, 1997;West, 1996). Empirical support for this proposal includes studies in humans that show increased amplitudes of middle latency auditory evoked responses following lesions to the dorsolateral prefrontal cortex (Alho et al, 1994;Knight et al, 1989).…”

Section: Effect Of Age On Aefsupporting

confidence: 83%

Effects of age and background noise on processing a mistuned harmonic in an otherwise periodic complex sound

2012

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Section: Effect Of Age On Aefsupporting

confidence: 83%

Effects of age and background noise on processing a mistuned harmonic in an otherwise periodic complex sound

2012

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“…MEG can separate out activity which is primarily sensoryrelated versus activity in sensory or other regions that are modulated by attention or become sustained due to working memory task demands . According to our MEG studies, initial sensory-related activity in auditory and somatosensory cortices (~40 ms and 20 ms, respectively) are enhanced in amplitude for the elderly, not decreased Kovacevic et al, 2005;Stephen et al, 2006). …”

Section: Introductionmentioning

confidence: 61%

Aging: Compensation or maturation?

Aine

Woodruff²,

Knoefel

et al. 2006

NeuroImage

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Neuroimaging studies of healthy aging often reveal differences in neural activation patterns between young and elderly groups for episodic memory tasks, even though there are no differences in behavioral performance. One explanation typically offered is that the elderly compensate for their memory deficiencies through the recruitment of additional prefrontal regions. The present study of healthy aging compared magnetoencephalographic (MEG) time-courses localized to specific cortical regions in two groups of subjects (20-29 years and ≥65 years) during a visual delayed-match-to-sample (DMS) task. MR morphometrics and neuropsychological test results were also examined with the hope of providing insight into the nature of the age-related differences. The behavioral results indicated no differences in performance between young and elderly groups. Although there was a main effect of age on the latency of the initial peak in primary/secondary visual cortex, these longer latencies were not correlated with the performance of elderly on the DMS task. The lateral occipital gyrus (LOG) revealed qualitatively different patterns of activity for the two age groups corroborated by neuropsychological test results. Morphometric results for the young versus elderly groups revealed less white (WM) and gray matter (GM) volumes in the frontal lobes of the elderly. When a group of middle-aged subjects (33-43 years) was included in the morphometric analyses, the middle-aged subjects revealed statistically greater WM volumes in frontal and parietal cortex suggesting immature WM tracts in the young. Perhaps our elderly utilized a different strategy compared to the young due to the different brain maturation levels of these groups.

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“…Several MEG studies have examined the neurophysiological underpinnings of healthy aging using auditory processing paradigms, and have shown that older adults generally demonstrate a stronger amplitude response relative to younger adults in superior temporal regions shortly after the onset of an auditory stimulus (∼50ms). This accentuated early neural response has been demonstrated in response to complex sounds, 138 phonetic sounds, 139-140 spoken words, 141 pitch, 142-143 and tones. 139,144-145 Interestingly, similar age-related differences have been reported in somatosensory MEG studies utilizing median nerve stimulation, with older adults exhibiting an increased early cortical response in the primary somatosensory cortices, 146-151 especially contralateral to the stimulated nerve.…”

Section: Healthy Agingmentioning

confidence: 79%

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

Wilson

Heinrichs‐Graham

Proskovec

et al. 2016

Translational Research

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Magnetoencephalography (MEG) is a noninvasive, silent, and totally-passive neurophysiological imaging method with excellent temporal resolution (∼1 ms) and good spatial precision (∼3-5 mm). In a typical experiment, MEG data are acquired while healthy controls and/or patients with neurologic or psychiatric disorders perform a specific cognitive task and/or receive sensory stimulation. The resulting data are generally analyzed using standard electrophysiological methods, coupled with advanced image reconstruction algorithms. To date, the total number of MEG instruments and associated users is significantly smaller than comparable human neuroimaging techniques, although this is likely to change in the near future with advances in the technology. Despite this small base, MEG research has made a significant impact on several areas of translational neuroscience, largely through its unique capacity to quantify the oscillatory dynamics of activated brain circuits in humans. This review focuses on the clinical areas where MEG imaging has arguably had the greatest impact, in regard to the identification of aberrant neural dynamics at the regional and/or network-level, monitoring of disease progression, determining how efficacious pharmacological and behavioral interventions modulate neural systems, and the development of neural markers of disease. Specifically, this review covers recent advances in understanding the abnormal neural oscillatory dynamics that underlie Parkinson's disease, autism spectrum disorders, HIV-associated neurocognitive disorders, cerebral palsy, attention-deficit/hyperactivity disorder, cognitive aging, and posttraumatic stress disorder. MEG imaging has had a major impact on how clinical neuroscientists understand the brain basis of these disorders, and its translational influence is rapidly expanding with new discoveries and applications emerging continuously.

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Age-related effects on superior temporal gyrus activity during an auditory oddball task

Cited by 22 publications

References 19 publications

Effects of age and background noise on processing a mistuned harmonic in an otherwise periodic complex sound

Effects of age and background noise on processing a mistuned harmonic in an otherwise periodic complex sound

Aging: Compensation or maturation?

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

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