Auditory system dysfunction in Alzheimer disease and its prodromal states: A review

Swords, Gabriel M.; Nguyen, Lydia T.; Mudar, Raksha A.; Llano, Daniel A.

doi:10.1016/j.arr.2018.04.001

Cited by 60 publications

(70 citation statements)

References 121 publications

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“…Testing of "central auditory processing" (CAP) may act as a harbinger of AD during the pre-symptomatic period (Fig. 1D) [58][59][60][61][62]. Recent findings have shown that both peripheral and central auditory system dysfunction occur in the prodromal or early stages of AD.…”

Section: Overdiagnosis or Harbinger Hypothesismentioning

confidence: 99%

“…Initial cognitive decline has been reported to be potentially concealed behind symptoms treated as hearing loss. Screening for peripheral and central auditory dysfunction, especially central auditory tests in at-risk populations, is recommended as a low-cost and effective means to identify precursors to AD pathology [60,62].…”

Section: Overdiagnosis or Harbinger Hypothesismentioning

confidence: 99%

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Age-related hearing loss and cognitive decline — The potential mechanisms linking the two

et al. 2019

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The amount of attention to age-related hearing loss (ARHL) has been growing, not only from the perspective of being one of the most common health conditions affecting older adults, but also from the perspective of its relation to cognition. Results from a number of epidemiological and laboratory studies have demonstrated a significant link between ARHL and cognitive decline. The Lancet International Commission on Dementia, Prevention, Intervention, and Care has estimated that mid-life hearing loss, if eliminated, might decrease the risk of dementia by nine percent, since hearing loss is a modifiable age-associated condition linked to dementia. Despite numerous research efforts, elucidation of the underlying causal relationships between auditory and cognitive decline has not yet reached a consensus. In this review article, we focused on the hypotheses of etiological mechanisms between ARHL and cognitive decline: (1) cognitive load hypothesis; (2) common cause hypothesis; (3) cascade hypothesis; and (4) overdiagnosis or harbinger hypothesis. Factual evidence obtained in previous studies was assessed to understand the link between ARHL and cognitive decline or dementia. Additionally, an overview of the conceivable effects of hearing intervention, e.g., hearing aids and cochlear implants, on cognition were presented, and the role of hearing aid use was considered for the relevant hypotheses. We should continue to strive for social enlightenment towards the importance of 'hearing well', and cultivate a necessity for hearing screening among patients at risk of cognitive decline.

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Section: Overdiagnosis or Harbinger Hypothesismentioning

confidence: 99%

Section: Overdiagnosis or Harbinger Hypothesismentioning

confidence: 99%

Age-related hearing loss and cognitive decline — The potential mechanisms linking the two

et al. 2019

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“…As they covertly measure neural processes, EEG and ERP studies are particularly useful in populations for whom laboratory conditions may be inappropriate or untenable. For example both auditory and visual ERPs may be used to investigate cognitive processing in schizophrenia (Feuerriegel et al, 2015), dyslexia (McArthur, Atkinson & Ellis, 2009;Peter et al, 2019), autism (Kim et al, 2018;Schwartz, Shinn-Cunningham & Tager-Flusberg, 2018) or neurodegeneration (Morrison et al, 2019;Swords et al, 2018). This highlights three drawbacks of traditional EEG systems (e.g.…”

Section: Introductionmentioning

confidence: 99%

A validation of Emotiv EPOC Flex saline for EEG and ERP research

Williams

McArthur

Wit

et al. 2020

PeerJ

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Background Previous work has validated consumer-grade electroencephalography (EEG) systems for use in research. Systems in this class are cost-effective and easy to set up and can facilitate neuroscience outside of the laboratory. The aim of the current study was to determine if a new consumer-grade system, the Emotiv EPOC Saline Flex, was capable of capturing research-quality data. Method The Emotiv system was used simultaneously with a research-grade EEG system, Neuroscan Synamps2, to collect EEG data across 16 channels during five well-established paradigms: (1) a mismatch negativity (MMN) paradigm that involved a passive listening task in which rare deviant (1,500 Hz) tones were interspersed amongst frequent standard tones (1,000 Hz), with instructions to ignore the tones while watching a silent movie; (2) a P300 paradigm that involved an active listening task in which participants were asked to count rare deviant tones presented amongst frequent standard tones; (3) an N170 paradigm in which participants were shown images of faces and watches and asked to indicate whether the images were upright or inverted; (4) a steady-state visual evoked potential (SSVEP) paradigm in which participants passively viewed a flickering screen (15 Hz) for 2 min; and (5) a resting state paradigm in which participants sat quietly with their eyes open and then closed for 3 min each. Results The MMN components and P300 peaks were equivalent between the two systems (BF10 = 0.25 and BF10 = 0.26, respectively), with high intraclass correlations (ICCs) between the ERP waveforms (>0.81). Although the N170 peak values recorded by the two systems were different (BF10 = 35.88), ICCs demonstrated that the N170 ERP waveforms were strongly correlated over the right hemisphere (P8; 0.87–0.97), and moderately-to-strongly correlated over the left hemisphere (P7; 0.52–0.84). For the SSVEP, the signal-to-noise ratio (SNR) was larger for Neuroscan than Emotiv EPOC Flex (19.94 vs. 8.98, BF10 = 51,764), but SNR z-scores indicated a significant brain response at the stimulus frequency for both Neuroscan (z = 12.47) and Flex (z = 11.22). In the resting state task, both systems measured similar alpha power (BF10 = 0.28) and higher alpha power when the eyes were closed than open (BF10 = 32.27). Conclusions The saline version of the Emotiv EPOC Flex captures data similar to that of a research-grade EEG system. It can be used to measure reliable auditory and visual research-quality ERPs. In addition, it can index SSVEP signatures and is sensitive to changes in alpha oscillations.

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“…SENSORINEURAL HEARING LOSS (SNHL) accounts for 90% of reported hearing loss (HL), which leads to difficulties in understanding speech and other voices directly. Cross‐section and longitudinal evidence suggested that auditory system dysfunction, including deafness and acoustic trauma, contribute to cognitive impairments, which is a result of neural plasticity. However, the underlying mechanism of reduced audibility‐induced negative plasticity need to be further explored.…”

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confidence: 99%

Sensorineural hearing loss and cognitive impairments: Contributions of thalamus using multiparametric MRI

Yun

Tang

et al. 2019

Magnetic Resonance Imaging

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Background The thalamus is an integrative hub conveying sensory information between cortical areas and related to cognition. However, alterations of the thalamus following partial hearing deprivation remains unknown. Purpose To investigate the modifications of the thalamus and its seven subdivisions in terms of structure, function, and perfusion in subjects with sensorineural hearing loss (SNHL), as well as their associations with SNHL‐induced cognitive impairments. Study Type Cross‐sectional study. Subjects Thirty‐seven bilateral long‐term SNHL patients and 38 well‐matched controls. Field Strength 3 T/BOLD, T1‐weighted imaging, arterial spin labeling (ASL). Assessment Quantitative measurements in the thalamus and subdivisions were obtained, including the relative volume, fractional amplitude of low‐frequency fluctuation (fALFF) within slow 5 (0.01–0.027 Hz), slow 4 (0.027–0.073 Hz), and combined frequency (0.01–0.073 Hz), as well as the whole‐brain functional connectivity. Twenty‐five SNHL patients and 20 controls underwent ASL scanning. Then correlation analysis was computed between all significant changes and cognition tests. Statistical Tests Continuous and categorical variables were compared by independent‐sample t‐test and chi‐square test, respectively. Quantitative MRI measurement comparisons were corrected for multiple comparison, and functional connectivity (FC) analysis used two‐sample t‐test with false‐discovery rate correction. Area under the curve (AUC) in receiver operating characteristic curve analysis was applied to evaluate the power of alterations in differentiating SNHL and controls. Results No significant difference in the relative volume and perfusion of seven thalamus subdivisions were observed, but a decrease in fALFF in SNHL. SNHL showed reduced thalamic connectivity with the cerebellum lobule VIII, ventral anterior cingulate cortex, insula, superior temporal gyrus, media temporal gyrus, medial frontal gyrus, Heschl's gyrus, and temporal pole. And some FC abnormalities exhibited positive correlations with cognitive tests and high discriminative power (0.8 < AUC < 1) in two groups. Data Conclusion SNHL led to decreased thalamic activity and widespread weakened connectivity with other brain areas. Level of Evidence: 2 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2019;50:787–797.

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Auditory system dysfunction in Alzheimer disease and its prodromal states: A review

Cited by 60 publications

References 121 publications

Age-related hearing loss and cognitive decline — The potential mechanisms linking the two

Age-related hearing loss and cognitive decline — The potential mechanisms linking the two

A validation of Emotiv EPOC Flex saline for EEG and ERP research

Sensorineural hearing loss and cognitive impairments: Contributions of thalamus using multiparametric MRI

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