2008
DOI: 10.1016/j.neuroimage.2007.09.052
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Attentional and linguistic interactions in speech perception

Abstract: The role of attention in speech comprehension is not well understood. We used fMRI to study the neural correlates of auditory word, pseudoword, and nonspeech (spectrally-rotated speech) perception during a bimodal (auditory, visual) selective attention task. In three conditions, Attend Auditory (ignore visual), Ignore Auditory (attend visual), and Visual (no auditory stimulation), 28 subjects performed a one-back matching task in the assigned attended modality. The visual task, attending to rapidly presented J… Show more

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Cited by 81 publications
(84 citation statements)
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References 84 publications
(94 reference statements)
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“…elicits similar N400 effects if the processing demands of the primary task are high, e.g. an n-back task, remains a topic for further inquiry (for a related study see Sabri, Binder, Desai, Medler, Leitl, and Liebenthal, 2008). Second, the N400 effects suggest not only superficial, shallow processing of the speech signal, but instead deeper processing involving semantic and presumably conceptual information.…”
Section: Discussionmentioning
confidence: 91%
“…elicits similar N400 effects if the processing demands of the primary task are high, e.g. an n-back task, remains a topic for further inquiry (for a related study see Sabri, Binder, Desai, Medler, Leitl, and Liebenthal, 2008). Second, the N400 effects suggest not only superficial, shallow processing of the speech signal, but instead deeper processing involving semantic and presumably conceptual information.…”
Section: Discussionmentioning
confidence: 91%
“…For example, voiced stop consonants are produced by temporarily closing the vocal tract with the lips ("b"), the tip of the tongue ("d"), or the root of the tongue ("g"). It is debated whether speech perception relies on internal transformation of speech signals to articulatory movements (Lotto et al, 2009;Scott et al, 2009;Hickok, 2010;Pulvermüller and Fadiga, 2010;Möttönen and Watkins, 2012), as suggested by the motor theory of speech perception (Liberman and Mattingly, 1985). This controversial view is supported by evidence showing that, in addition to the auditory cortex, the areas in the left motor cortex that control movements of the lips and tongue can be activated during listening to speech sounds in an articulatorspecific manner (Fadiga et al 2002;Pulvermüller et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…This controversial view is supported by evidence showing that, in addition to the auditory cortex, the areas in the left motor cortex that control movements of the lips and tongue can be activated during listening to speech sounds in an articulatorspecific manner (Fadiga et al 2002;Pulvermüller et al, 2006). Moreover, transcranial magnetic stimulation (TMS) studies demonstrate that stimulation of these motor areas affects performance in demanding speech perception tasks (Meister et al, 2007;D'Ausilio et al, 2009;Möttönen and Watkins, 2009;Sato et al, 2009). For example, TMS-induced disruption in the motor lip area impairs performance in tasks that involve discrimination of lip-and tongue-articulated sounds (e.g., "ba" and "da") but has no effect on tasks that involve only tongue-articulated sounds (e.g., "ga" and "da"; Möttönen and Watkins, 2009).…”
Section: Introductionmentioning
confidence: 99%
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“…For example, in one fMRI study of speech comprehension we observed largely identical neural responses to high versus low ambiguity sentences during in the absence and presence of an engaging comprehension task (Rodd et al, 2005). Yet, we also observed greater variability in the neural responses observed during passive listening that are plausibly due to inattentive participants being less engaged in the comprehension process (see Sabri et al, 2008;Wild et al, 2012 for further studies of these attentional effects). More generally, we seek mechanistic theories that explain the links between neural responses and behavioural outcomes; these theories must therefore explain participants' behaviour during active tasks (see Henson, 2005;Taylor, Rastle, & Davis, 2014 for discussion).…”
Section: Future Directionsmentioning
confidence: 62%