Language is fundamentally predictable, both on a higher schematic level as well as low-level lexical items. Regarding predictability on a lexical level, collocations are frequent co-occurrences of words that are often characterized by high strength of association. So far, psycho- and neurolinguistic studies have mostly employed highly artificial experimental paradigms in the investigation of collocations by focusing on the processing of single words or isolated sentences. In contrast, here we analyze EEG brain responses recorded during stimulation with continuous speech, i.e., audio books. We find that the N400 response to collocations is significantly different from that of non-collocations, whereas the effect varies with respect to cortical region (anterior/posterior) and laterality (left/right). Our results are in line with studies using continuous speech, and they mostly contradict those using artificial paradigms and stimuli. To the best of our knowledge, this is the first neurolinguistic study on collocations using continuous speech stimulation.
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http://dx.doi.org/10.3389/fpsyg.2022.1076339 | DOI Listing |
J Neurosci
January 2025
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742
When we listen to speech, our brain's neurophysiological responses "track" its acoustic features, but it is less well understood how these auditory responses are enhanced by linguistic content. Here, we recorded magnetoencephalography (MEG) responses while subjects of both sexes listened to four types of continuous-speech-like passages: speech-envelope modulated noise, English-like non-words, scrambled words, and a narrative passage. Temporal response function (TRF) analysis provides strong neural evidence for the emergent features of speech processing in cortex, from acoustics to higher-level linguistics, as incremental steps in neural speech processing.
View Article and Find Full Text PDFJ Neural Eng
January 2025
University of Pittsburgh, 1622 Locust St, Pittsburgh, Pennsylvania, 15219, UNITED STATES.
Real-world implementation of brain-computer interfaces (BCI) for continuous control of devices should ideally rely on fully asynchronous decoding approaches. That is, the decoding algorithm should continuously update its output by estimating the user's intended actions from real-time neural activity, without the need for any temporal alignment to an external cue. This kind of open-ended temporal flexibility is necessary to achieve naturalistic and intuitive control, but presents a challenge: how do we know when it is appropriate to decode anything at all? Activity in motor cortex is dynamic and modulates with many different types of actions (proximal arm control, hand control, speech, etc.
View Article and Find Full Text PDFBMJ Open
December 2024
Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Introduction: Infants born very preterm (VPT, <32 weeks' gestation) are at increased risk for neurodevelopmental impairments including motor, cognitive and behavioural delay. Parents of infants born VPT also have poorer mental health outcomes compared with parents of infants born at term.We have developed an intervention programme called TEDI-Prem (Telehealth for Early Developmental Intervention in babies born very preterm) based on previous research.
View Article and Find Full Text PDFEmotion
January 2025
Department of Psychology, Cognitive and Affective Neuroscience Unit, University of Zurich.
Affective voice signaling has significant biological and social relevance across various species, and different affective signaling types have emerged through the evolution of voice communication. These types range from basic affective voice bursts and nonverbal affective up to affective intonations superimposed on speech utterances in humans in the form of paraverbal prosodic patterns. These different types of affective signaling should have evolved to be acoustically and perceptually distinctive, allowing accurate and nuanced affective communication.
View Article and Find Full Text PDFNeurosciences (Riyadh)
January 2025
From the Neurology of Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Marchiafava-Bignami disease (MBD) is a rare neurological disorder typically occurring in alcoholic patients. The main disease mechanism is hypothesized to be vitamin B-complex deficiency due to malnutrition. In the literature, there have been few reported cases of the disease occurring in patients who have undergone bariatric surgery.
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