“…Given the limitations of group-averaged AERPs to separate the underlying neural processes that are involved in linguistic processing, we turned to ICA to further illuminate differences among these groups in the processing of left and right dichotic stimuli. The two ICs described in this study are consistent with two temporally overlapping ICs of semantic processing and attention described by three previous studies (Mehta et al, 2009;Davis et al, 2012;Jerger et al, 2014). Both semantic and attentional ICs revealed an age effect of reduced amplitude in the MA group as compared to YAs.…”
Section: Discussionsupporting
confidence: 92%
“…The word stimuli used in the AERP task have been used in several previous AERP studies (Martin et al, 2007;Davis et al, 2012Davis et al, , 2013Davis and Jerger, 2014). Words were digitally recorded in an audiometric sound-treated room by an adult male who was a monolingual speaker of English.…”
Section: Aerp Speech Stimulimentioning
confidence: 99%
“…Previous ICA research has suggested that during the processing of words, the language-related N400 component overlaps with a sustained attention PN (Mehta et al, 2009;Davis et al, 2012;Jerger et al, 2014). Accordingly, the second purpose of the study was to determine the effectiveness of ICA in isolating overlapping neural sources that contribute to the negativity in the 350-650 msec latency range.…”
IA differences between YAs and MAs were revealed in the N400 only in DIV, which was the result of an increased information-processing load. ICA successfully separated temporally overlapping EEG sources that contributed to the N400 component, allowing a refined interpretation of differences in the AERP waveform among groups.
“…Given the limitations of group-averaged AERPs to separate the underlying neural processes that are involved in linguistic processing, we turned to ICA to further illuminate differences among these groups in the processing of left and right dichotic stimuli. The two ICs described in this study are consistent with two temporally overlapping ICs of semantic processing and attention described by three previous studies (Mehta et al, 2009;Davis et al, 2012;Jerger et al, 2014). Both semantic and attentional ICs revealed an age effect of reduced amplitude in the MA group as compared to YAs.…”
Section: Discussionsupporting
confidence: 92%
“…The word stimuli used in the AERP task have been used in several previous AERP studies (Martin et al, 2007;Davis et al, 2012Davis et al, , 2013Davis and Jerger, 2014). Words were digitally recorded in an audiometric sound-treated room by an adult male who was a monolingual speaker of English.…”
Section: Aerp Speech Stimulimentioning
confidence: 99%
“…Previous ICA research has suggested that during the processing of words, the language-related N400 component overlaps with a sustained attention PN (Mehta et al, 2009;Davis et al, 2012;Jerger et al, 2014). Accordingly, the second purpose of the study was to determine the effectiveness of ICA in isolating overlapping neural sources that contribute to the negativity in the 350-650 msec latency range.…”
IA differences between YAs and MAs were revealed in the N400 only in DIV, which was the result of an increased information-processing load. ICA successfully separated temporally overlapping EEG sources that contributed to the N400 component, allowing a refined interpretation of differences in the AERP waveform among groups.
“…We asserted that the middle-aged group was more affected by task difficulty than young adults, which resulted in greater resource allocation at a lower level of perceptual processing and less cognitive resources available for higher-order linguistic processing in the most difficult condition, that is, Different judgments. The fact that no significant interaural asymmetry was evident in the LPC is interesting in light of a recent case study in which we described prominent interaural asymmetry differences in the LPC amplitude in a middle-aged female with a behavioral left-ear deficit and suspected auditory processing disorder (APD) (Davis et al, 2012). Moreover, the interaural asymmetry was only present in the LPC, not in the earlier components of the AERP.…”
Section: Discussionmentioning
confidence: 79%
“…Therefore, the reduction in the LPC positivity in the frontal electrodes in the young group was, at least partly, related to increased negativity in the N400 component for the more difficult semantic judgment task. It is also noted that overlapping negative AERP components have been found in the 300-600 msec latency range, which have been thought to reflect both semantic analysis and sustained attentional processes (Mehta et al, 2009;Davis et al, 2012). Therefore, an alternative hypothesis is that the increased negativity in the young females was associated with an increase in sustained attention, which was overall less in the middle-aged females.…”
The middle-aged group showed substantially greater LPC peak amplitude in the frontal regions of the scalp than young adults. These results were in concert with N400 results, which suggested that the middle-aged group required more attentional/cognitive resources than young adults in order to maintain a high performance level on a linguistic task in the presence of competing linguistic stimuli (Davis et al, 2013).
Key Points
Question
What is the status of peripheral hearing in patients with nonfluent/agrammatic variant primary progressive aphasia (nfvPPA)?
Findings
Patients with nfvPPA performed worse on pure-tone audiometry than healthy older individuals or patients with Alzheimer disease, after controlling for age and general disease factors. In addition, these patients showed increased functional interaural audiometric asymmetry.
Meaning
Auditory system involvement in patients with nfvPPA is more substantial than previously recognized.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.