Regional response differences within the human auditory cortex when listening to words
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Cited by (224)
Modulation of brain activity by psycholinguistic information during naturalistic speech comprehension and production
2022, CortexCitation Excerpt :In addition, factorial designs frequently do not exploit the full range of values available for continuous variables. To combat this, an alternative approach is to investigate the neural response to the property of interest in a parametric fashion and some studies have done this with great success (Graves, Desai, Humphries, Seidenberg, & Binder, 2010; Hauk, Davis, & Pulvermuller, 2008; Mummery, Ashburner, Scott, & Wise, 1999; Price et al., 1992; Wise et al., 2000). In recent years, researchers have often moved beyond univariate analysis of single-voxel responses, in favour of sophisticated multivariate pattern analyses (MVPA) (Kriegeskorte & Kievit, 2013; Kriegeskorte, Mur, & Bandettini, 2008; Norman, Polyn, Detre, & Haxby, 2006).
EEG and fMRI coupling and decoupling based on joint independent component analysis (jICA)
2022, Journal of Neuroscience MethodsCitation Excerpt :To this end, we investigated the pattern of coupling between fMRI and EEG signals as a function of stimulus presentation rate, including the range in which the fMRI response may be nonlinearly related with stimulus rate and decoupled from EEG. Speech syllables were selected as stimuli because they naturally occur at relatively high rates (2–4 Hz) in which the BOLD response in the auditory cortex has been found to vary nonlinearly with stimulus rate (Binder et al., 1994; Büchel et al., 1998; Price et al., 1992; Rees et al., 1997). JICA is a blind source separation method applicable to multimodal neuroimaging data (Calhoun et al., 2006; Moosmann et al., 2008).
Cognitive inhibition mediates the relationship between ESL listening proficiency and English spoken word segmentation in Chinese learners: A functional near-infrared spectroscopy (fNIRS) study
2021, Journal of NeurolinguisticsCitation Excerpt :Evidence further suggests that the PFC is responsible for planning cognitive behaviors, including cognitive inhibition (e.g. Chmielewski et al., 2014; Rubia et al., 2003). In addition, an extensive literature of neuroscience studies shows that several brain regions are activated in auditory language processing and listening/speech comprehension, i.e., the superior temporal brain regions, the supramarginal gyrus (SMG), and the temporo-parietal junction (TPJ) (e.g. Bitan et al., 2007; Chang et al., 2010; Dai et al., 2018; Hickok & Poeppel, 2007; Perner & Aichhorn, 2008; Price et al., 1992; Saxe & Kanwisher, 2003; Saxe & Wexler, 2005; Wilson et al., 2007). The TPJ, mainly engaged in information processing and perception, is the brain area which connects the temporal and parietal lobes, consisting of inferior parietal lobule (BA39, BA40) and the caudal parts of the superior temporal sulcus (BA22, BA38).
English spoken word segmentation activates the prefrontal cortex and temporo-parietal junction in Chinese ESL learners: A functional near-infrared spectroscopy (fNIRS) study
2020, Brain ResearchCitation Excerpt :They proposed that frontal activation was the result of either word segmentation or the use of working memory. Furthermore, evidence from neuroimaging studies suggests that not only the supramarginal gyrus (SMG) and the superior temporal brain regions (e.g. Bitan et al., 2007; Chang et al., 2010; Hickok and Poeppel, 2007; Price et al., 1992; Wilson et al., 2007) but also the temporo-parietal junction (TPJ) (e.g. Dai et al., 2018; Perner and Aichhorn, 2008; Saxe and Kanwisher, 2003; Saxe and Wexler, 2005) are responsible for speech/auditory processing. However, there are very few neuroimaging studies on spoken word segmentation.
Cortical subnetwork dynamics during human language tasks
2016, NeuroImageCitation Excerpt :All subjects also had an FNC during picture naming with interactions between posterior superior temporal gyrus or supramarginal gyrus and either sensorimotor cortex, Broca's area, or both (red/triangles in Fig. 4 and Supplementary Fig. 2), with timing strongly aligned to verbal response onset (red in Fig. 6 and Supplementary Fig. 3). This alignment is consistent with pSTG's role in auditory processing of speech (Price et al., 1992; Steinschneider et al., 2011; Leonard and Chang, 2014). Our hypothesis – that functional network components identify groups of related cortical interactions involved in particular stages of task-related processing – is supported by the high degree of consistency between the spatial-temporal profiles of FNCs and current neurobiological models of speech production.