Semantic processing is an amodal process with modality-specific information integrated in supramodal ‘convergence zones’ or ‘semantic hub’ with executive mechanisms that tailor semantic representation in a task-appropriate way. One unsolved question is how frontal control region dynamically interacts with temporal representation region in semantic integration. The present study addressed this issue by using inhibitory double-pulse transcranial magnetic stimulation (TMS) over the left inferior frontal gyrus (IFG) or left posterior middle temporal gyrus (pMTG) in one of eight 40-ms time windows (TWs) (3 TWs before and 5 TWs after the identification point of speech), when human participants (12 females, 14 males) were presented with semantically congruent or incongruent gesture-speech pairs but merely identified the gender of speech. We found a TW-selective disruption of gesture-speech integration, indexed by the semantic congruency effect (i.e., a cost of reaction time due to semantic conflict), when stimula...

Little research has been done about the neural substrate of the sub-lexical level of Chinese word recognition. In particular, it is unclear how radicals participate in Chinese word processing. We compared two measures of radical combinability: position-general radical combinability (GRC) and position-specific radical combinability (SRC) depending on whether the position of the radical is taken into account. We selected characters with embedded target radicals that had different GRC and SRC measures. These measures were used as predictors in a parametric modulation analysis and a multivariate representational similarity analysis (RSA). Human participants with native Mandarin speakers (17 males and 24 females) were asked to read words in search of animal words. Results showed that SRC is a better predictor than GRC in decoding the neural patterns. Whole-brain analysis indicated that SRC is encoded bilaterally in the inferior frontal gyrus (IFG, pars opercularis and pars triangularis), the middle frontal gyru...

Children with and without dyslexia differ in their behavioural responses to visual information, particularly when required to pool dynamic signals over space and time. Importantly, multiple processes contribute to behavioural responses. Here we investigated which processing stages are affected in children with dyslexia when performing visual motion processing tasks, by combining two methods that are sensitive to the dynamic processes leading to responses. We used a diffusion model which decomposes response time and accuracy into distinct cognitive constructs, and high-density EEG. 50 children with dyslexia (24 male) and 50 typically developing children (28 male) aged 6 to 14 years judged the direction of motion as quickly and accurately as possible in two global motion tasks (motion coherence and direction integration), which varied in their requirements for noise exclusion. Following our pre-registered analyses, we fitted hierarchical Bayesian diffusion models to the data, blinded to group membership. Unb...

Much animal learning is slow, with cumulative changes in behavior driven by reward prediction errors. When the abstract structure of a problem is known, however, both animals and formal learning models can rapidly attach new items to their roles within this structure, sometimes in a single trial. Frontal cortex is likely to play a key role in this process. To examine information seeking and use in a known problem structure, we trained monkeys in an explore/exploit task, requiring the animal first to test objects for their association with reward, then, once rewarded objects were found, to re-select them on further trials for further rewards. Many cells in the frontal cortex showed an explore/exploit preference aligned with the one-shot learning in the monkeys’ behavior: the population switched from an explore state to an exploit state after a single trial of learning, but partially maintained the explore state if an error indicated that learning had failed. Binary switch from explore to exploit was not exp...

The activity-dependent expression of immediate-early genes (IEGs) has been utilised to label memory traces. However, their roles in engram specification are incompletely understood. Outstanding questions remain as to whether expression of IEGs can interplay with network properties such as functional connectivity and also if neurons expressing different IEGs are functionally distinct. In order to connect IEG expression at the cellular level with changes in functional-connectivity, we investigated the expression of 2 IEGs, Arc and c-Fos, in cultured hippocampal neurons. Primary neuronal cultures were treated with a chemical cocktail (4-aminopyridine, bicuculline, and forskolin) to increase neuronal activity, IEG expression, and induce chemical long-term potentiation. Neuronal firing is assayed by intracellular calcium imaging using GCaMP6m and expression of IEGs is assessed by immunofluorescence staining. We noted an emergent network property of refinement in network activity, characterized by a global downr...

In humans, age-related declines in vision, hearing, and touch coincide with changes in amplitude and latency of sensory evoked potentials. These age-related differences in neural activity may be related to a common deterioration of supra-modal brain areas (e.g., prefrontal cortex) that mediate activity in sensory cortices, or reflect specific sensorineural impairments that may differ between sensory modalities. To distinguish between these two possibilities, we measured neuroelectric brain activity while 37 young adults (18–30 years, 18 males) and 35 older adults (60–88 years, 20 males) were presented with a rapid randomized sequence of lateralized auditory, visual, and somatosensory stimuli. Within each sensory domain, we compared amplitudes and latencies of sensory-evoked responses, source activity, and functional connectivity (via phase-locking value) between groups. We found that older adults' early sensory-evoked responses were greater in amplitude than those of young adults in all three modalities, w...

The perception of control over a stressful experience may determine its impacts and generate resistance against future stressors. Although the medial prefrontal cortex (PFC) and the hippocampus (HPC) are implicated in the encoding of stressor controllability, the neural dynamics underlying this process are unknown. Here, we recorded HPC and PFC neural activities in male rats during the exposure to controllable, uncontrollable, or no shocks and investigated electrophysiological predictors of escape performance upon exposure to subsequent uncontrollable shocks. We were able to accurately discriminate stressed from non-stressed animals and predict resistant (R) or helpless (H) individuals based on hippocampal-cortical oscillatory dynamics. Remarkably, R animals exhibited an increase in theta power during CS, while H exhibited a decrease. Furthermore, R exhibited higher HPC to PFC theta synchronization during stress. Notably, HPC-PFC theta connectivity in the initial stress exposure showed strong correlations ...

Peripheral nerves are organized into discrete compartments. Axons, Schwann cells (SCs), and endoneurial fibroblasts (EFs) reside within the endoneurium and are surrounded by the perineurium - a cellular sheath comprised of layers of perineurial glia (PNG). SC secretion of Desert Hedgehog (Dhh) regulates this organization. In Dhh nulls, the perineurium is deficient and the endoneurium is subdivided into small compartments termed minifascicles. Human Dhh mutations cause a neuropathy with similar defects. Here we examine the role of Gli1, a canonical transcriptional effector of hedgehog signaling, in regulating peripheral nerve organization in mice of both genders. We identify PNG, EFs, and pericytes as Gli1-expressing cells by genetic fate mapping. Although expression of Dhh by SCs and Gli1 in target cells is coordinately regulated with myelination, Gli1 expression unexpectedly persists in Dhh null EFs. Thus, Gli1 is expressed in EFs non-canonically i.e., independent of hedgehog signaling. Gli1 and Dhh also ...