Timothy David Griffiths

The paper investigates how sound texture and loudness discrimination are affected by stimulus duration using behavioral and fMRI data, finding distinct neural correlates in auditory cortex and medial temporal lobe.

The paper shows that macaque frontal cortex encodes ordinal position in auditory sequences through population dynamics, while auditory cortex encodes stimulus identity.

This study uses fMRI to compare neural networks for interoceptive and exteroceptive attention, finding distinct but interacting systems for internal and external sensory processing.

This study uses transcranial ultrasound stimulation to enhance memory performance in macaques by targeting specific fronto-temporal brain regions.

This study shows that auditory working memory and sound segregation ability predict speech-in-noise performance in cochlear implant users, even after accounting for peripheral processing abilities.

This study investigates how the brain represents natural sound statistics using fMRI and synthetic sounds with controlled statistical variations, finding graded responses in auditory cortex and modulatory interactions with the hippocampus.

The paper investigates the neural basis of navigating an auditory dimension in humans, finding overlapping brain systems with physical navigation.

The paper shows prior expectations influence perceived aversiveness of sounds, with neural correlates in P3/LPP components and alpha-beta oscillations.

The paper examines individual differences in top-down attention using MEG and pupillometry, finding that sensory processing and strategic resource allocation shape heterogeneous neural network engagement.

The paper uses human intracranial recordings to study neural activity during an auditory working memory task, finding attractor-like states in brain regions associated with memory maintenance and adjustment.

This study investigates anticipatory EEG signals to affective stimuli, finding that negativity reflects attentional resource allocation rather than emotional content.

The paper uses structural equation modelling to show age and central auditory processing are key determinants of speech-in-noise perception, with PTA and non-verbal reasoning influencing SIN through CAP.

The paper investigates neural entrainment to pitch changes in auditory targets in noise, showing similar patterns for speech and non-linguistic stimuli, with potential clinical biomarker implications.

This study shows that dynamic auditory figure-ground analysis better predicts speech-in-noise ability than static analysis, with combined measures outperforming age and hearing sensitivity.

The paper develops a UK version of the Iowa Test of Consonant Perception (B-ITCP) and validates its reliability and validity for speech-in-noise testing.

This study shows older adults without hearing loss can direct spatial selective attention as well as younger adults, but this ability declines with age-related hearing loss.

This study records multi-unit pitch responses from human auditory cortex and finds they are distributed across Heschl's gyrus, not localized to a specific region.

The paper identifies neural correlates of speech-in-noise performance in cochlear implant users using EEG and clinical speech tests, finding ERP amplitudes predict word recognition tasks better than traditional measures.

The paper evaluates EEG measures for auditory figure-ground perception and speech-in-noise processing, finding enhanced responses for figure detection under distraction.

This study examines the neural impact of disconnecting a semantic hub in the human brain and finds specific network changes and partial compensation.

This study examines the relationship between musical sophistication and auditory working memory, finding that musical sophistication explains 21% of the variance in frequency working memory precision.

The paper shows a strong correlation between beat perception and speech fluency in post-stroke aphasia, suggesting a link between auditory processing and language output.

The paper identifies common effective connectivity patterns between auditory cortex and fronto-temporal regions in humans and monkeys using functional imaging and electrical stimulation.

The paper identifies two cortical processes—pre-target noise attenuation and post-target speech extraction—that independently predict individual differences in speech-in-noise performance.

The paper describes a case of auditory segregation deficit following right hemisphere damage, showing impaired speech-in-noise and music streaming, and links it to non-primary auditory cortex.

This study investigates oscillatory activity in human brain regions during auditory working memory using electrocorticography, finding sustained low-frequency increases in medial temporal lobe regions.

The paper investigates the neural mechanisms linking speech-in-noise perception difficulties to fundamental auditory grouping using fMRI, finding shared cortical processes in early auditory areas.

The paper investigates the relationship between auditory working memory precision for frequency and speech-in-noise thresholds, finding a significant correlation and a link to musical training.

The paper uses fMRI and multivariate pattern analysis to show that acoustic features are represented independently in primary auditory cortex and integrated in parietal cortex.