Temporal dynamics of age-related differences in auditory incidental verbal learning

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

doi:10.1016/j.cogbrainres.2004.10.024

Cited by 30 publications

(19 citation statements)

References 96 publications

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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: 78%

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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Section: Healthy Agingmentioning

confidence: 78%

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

Wilson

Heinrichs‐Graham

Proskovec

et al. 2016

Translational Research

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“…For example, Aine et al (2005) revealed PF activation in elderly subjects twice as often as in younger participants in an auditory incidental learning paradigm. Although, this study examined responses to repetitive stimulation (words), it required higher-order cognitive processing than simply listening to tones and thus, it is conceivable that strategy differences between the young and old may have played a role in this study.…”

Section: Discussionmentioning

confidence: 98%

“…It is assumed that sensory gating predominantly reflects a pre-attentive, automatic (Freedman et al, 1996) filter mechanism that protects the integrity of the higher cognitive centers (Wan et al, 2008). Although dysfunction of sensory gating has been associated with pathophysiology of numerous psychiatric and neurological diseases such as schizophrenia (Adler et al, 1982; Freedman et al, 1996), depression (Garcia-Rill et al, 2002), Alzheimer’s Disease (Cheng et al, 2012; Thomas et al, 2010), Parkinson’s Disease (Teo et al, 1997) or Huntington’s Disease (Uc et al, 2003), effects of aging on the source dynamics of this early activity (40–50 ms post-stimulus) have also been reported (e.g., Aine et al 2005; Kovacevic et al,2005; Stephen et al, 2006). To understand the modulation demonstrated by sensory gating requires detailed spatio-temporal analysis of the P50/M50 cortical network to identify inter-subject variability in cortical generators and their individual dynamics when this network is functioning optimally and when it is not.…”

Section: Introductionmentioning

confidence: 99%

Modulatory role of the prefrontal generator within the auditory M50 network

Golubic

Aine²,

Stephen

et al. 2014

NeuroImage

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The amplitude variability of the M50 component of neuromagnetic responses is commonly used to explore the brain’s ability to modulate its response to incoming repetitive or novel auditory stimuli, a process conceptualized as a gating mechanism. The goal of this study was to identify the spatial and temporal characteristics of the cortical sources underlying the M50 network evoked by tones in a passive oddball paradigm. Twenty elderly subjects [10 patients diagnosed with mild cognitive impairment (MCI) or probable Alzheimer disease (AD) and 10 age-matched controls] were examined using magnetoencephalographic (MEG) recordings and the multi-dipole Calibrated Start Spatio-Temporal (CSST) source localization method. We identified three cortical regions underlying the M50 network: prefrontal cortex (PF) in addition to bilateral activation of the superior temporal gyrus (STG). The cortical dynamics of the PF source within the 30–100 ms post-stimulus interval was characterized and was found to be comprised of two subcomponents, Mb1c and Mb2c. The PF source was localized for 10/10 healthy subjects, whereas 9/10 MCI/AD patients were lacking the PF source for both tone conditions. The selective activation of the PF source in healthy controls along with inactivation of the PF region for MCI/AD patients, enabled us to examine the dynamics of this network of activity when it was functional and dysfunctional, respectively. We found significantly enhanced activity of the STG sources in response to both tone conditions for all subjects who lacked a PF source. The reported results provide novel insights into the topology and neurodynamics of the M50 auditory network, which suggest an inhibitory role of the PF source that normally suppresses activity of the STG sources.

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“…Only one study has examined memory processing in patients with TLE using MEG (101), despite numerous MEG studies of encoding or retrieval of words (98,(102)(103)(104)(105)(106)(107)(108), faces (109,110), patterns (111), and letters (112)(113)(114) in other patient populations (111-115) and healthy controls. Hanlon et al (101) used an associative object-memory test in two TLE patients with hippocampal sclerosis and reported a shift of MEG activations to the contralateral, undamaged hippocampus.…”

Section: Megmentioning

confidence: 99%

The use of neuroimaging to study behavior in patients with epilepsy

McDonald¹

2008

Epilepsy & Behavior

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Structural and functional neuroimaging continue to play an increasing role in the presurgical evaluation of patients with epilepsy. In addition to their value for localizing the epileptogenic zone and eloquent cortex, neuroimaging is contributing to our understanding of mood comorbidity in epilepsy. Although the vast majority of research has focused on patients with temporal lobe epilepsy (TLE), neuroimaging studies of patients with frontal lobe epilepsy (FLE) and primary generalized epilepsy are increasing in number. In this review, structural and functional imaging modalities that have received considerable research attention in recent years are reviewed, along with an assessment of their strengths and limitations for understanding behavior in epilepsy. In addition, advances in multimodal imaging are discussed along with their potential application to the presurgical evaluation of patients with seizure disorders.

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Temporal dynamics of age-related differences in auditory incidental verbal learning

Cited by 30 publications

References 96 publications

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

Modulatory role of the prefrontal generator within the auditory M50 network

The use of neuroimaging to study behavior in patients with epilepsy

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