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Southwell, R.

Publications and source records attributed to Southwell, R..

3 recordsLinked to original sources

Brain responses to predictable structure in auditory sequences: From complex regular patterns to tone repetition

In classical studies of auditory pattern learning, neuronal responses exhibit repetition suppression, where sequences of repeated tones show a reduced evoked response. This may be due in part to adaptation, but is also hypothesized to indicate suppression of expected stimuli. Repetition suppression is thought to form a building block of regularity learning, and is the paradigmatic example of predictive coding in humans and other animals. However, stimuli with more complex patterns appear to show the opposite effect. Predictable regular (REG) patterns distributed over a range of frequencies show a strongly enhanced sustained brain response compared to frequency-matched random (RAND) sequences, sitting at odds with the usual reduced evoked responses to predictable stimuli. A limiting factor in reconciling these findings is that they are obtained using different stimuli and analysis methods. This human EEG study (N=20) brings together auditory sequence predictability and repetition in a single paradigm, based on rapidly unfolding tone pip patterns, incorporating sequences consisting of exactly repeating tones at a single frequency, alongside REG and RAND of varying complexity. We demonstrate that regularity is associated with increased sustained responses, offset responses, tone locked responses and cycle-locked responses. We further show that both repetition suppression and repetition enhancement occur over different timescales, and that sustained brain responses to simple repetition show qualitatively different effects than to more complex regularities during automatic tracking of stimulus statistics. Our results indicate a system for automatic monitoring of predictability in the auditory environment, which is distinct from, but concurrent with, repetition suppression. NEW & NOTEWORTHYWe investigate how human brain response patterns evolve as auditory patterns become progressively simplified, focusing on the impact of sequence structure on various aspects of EEG responses, both evoked and induced. By contrasting EEG responses across different phases of the stimulus--onset, sustained, and offset--we uncover the interplay between repetition suppression and predictability. This approach allows us to discern how the brain processes and adapts to changing regularities in sensory input.

neuroscience↗

Towards Ecological Measurement of Complex Cognitive Processes: Functional-Near Infrared Spectroscopy of Brain Activity During Reading

Functional magnetic resonance imaging (fMRI) has provided unparalleled insights into the fundamental neural mechanisms governing human cognition, including complex processes such as reading. Here, we leverage the wealth of prior fMRI work to capture reading outside the MRI scanner using functional near infra-red spectroscopy (fNIRS). In a large sample of participants (n = 82) we observe significant prefrontal and temporal fNIRS activations during reading, which are largely reliable across participants, therefore providing a robust validation of prior fMRI work on reading-related language processing. These results lay the groundwork towards developing adaptive systems capable of assisting these higher-level processes, for example to support readers and language learners. This work also contributes to bridging the gap between laboratory findings and real-world applications in the realm of cognitive neuroscience.

neuroscience↗

Enhanced deviant responses in patterned relative to random sound sequences

How are brain responses to deviant events affected by the statistics of the preceding context? We recorded electroencephalography (EEG) brain responses to frequency deviants in matched, regularly-patterned (REG) versus random (RAND) tone-pip sequences. Listeners were naive and distracted by an incidental visual task. Stimuli were very rapid so as to limit conscious reasoning about the sequence order and tap automatic processing of regularity.\n\nDeviants within REG sequences evoked a substantially larger response (by 71%) than matched deviants in RAND sequences from 80 ms after deviant onset. This effect was underpinned by distinct sources in right temporal pole and orbitofrontal cortex in addition to the standard bilateral temporal and right pre-frontal network for generic frequency deviance-detection. These findings demonstrate that the human brain rapidly acquires a detailed representation of regularities within the sensory input and evaluates incoming information according to the context established by the specific pattern.

neuroscience↗