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The present study examined how task demands modulate neural activations during the processing of emotion-label words (words describing emotional states) and emotion-laden words (words triggering emotions through connotations) in a second language (L2). To this end, we directly compared behavioral and electrophysiological responses in late Chinese-English bilinguals when the words’ affective information was task-relevant (emotional categorization task, ECT) versus task-irrelevant (emotional Stroop task, EST). Our results revealed the modulation of emotion word type and valence on L2 emotion word processing. Specifically, negative emotion-laden words exhibited slower response times, and positive emotion-label words elicited larger Late Positive Complex amplitudes. Notably, these effects were observed exclusively within the task where the emotional dimension of the stimuli was task-relevant, that is, when participants explicitly determined the word valence. Taken together, our study highlights the potential task-dependent nature of the effects of emotion word type and valence in late bilinguals’ L2, suggesting that assumptions about the universality of such effects should be evaluated in light of task demands and language context.
Deviations in P300 activity have been implicated in depression and anxiety; however, much of this research has been conducted in adult samples and has primarily examined the association between P300 amplitude and internalizing symptoms between participants. We sought to simultaneously examine the between- and within-subject associations between depression and anxiety symptoms with P300. Self-report and neural data from a flanker task were collected at three timepoints over the course of two years in a large sample of adolescents (n = 490). Blunted P300 was robustly related to elevated between-subject depression. Conversely, elevations in within-subject anxiety were associated with larger P300. Results implicate the P300 as a reliable correlate of between-subjects level depression-related deficits in cognitive functions that is not susceptible to within-subject changes. Additionally, P300 also serves as a correlate of within-subject elevations in youth anxiety symptoms likely reflecting greater hyperarousal at the time of assessment.
The Bergen 4-day treatment (B4DT) for obsessive compulsive disorder (OCD) is a concentrated form of exposure and response prevention that has been implemented at the Icelandic Anxiety Centre. The aim of the present study was to assess 12-month results of 86 participants undertaking the treatment. The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) was administered at pre-, post-, and 3- and 12-month follow-up, accompanied by measures on generalised anxiety (GAD-7), depression (PHQ-9), and functional impairment (WSAS). The mean pre-treatment score on Y-BOCS was 30.5 (SE=0.5), the post-treatment score was 10.7 (SE=0.4), and the 12-month follow-up score was 11.5 (SE=0.9). There was no significant difference in Y-BOCS scores from post-treatment to 3- and 12-month follow-up, which indicates that treatment gains were maintained over time. Functional impairment, along with symptoms of anxiety and depression, decreased significantly from pre- to post-treatment, with further reductions in functional impairment observed at the 12-month follow-up. All participants completed treatment, and at 12-month follow-up, 83.7% had responded and 67.4% recovered. Among the participants that had responded or remitted at post-treatment, 22% had a worse outcome at 12-month follow-up, but 54% of the participants in the response or no change categories at post-treatment had a better outcome at follow-up. These results support the effectiveness and long-term benefits of the B4DT when implemented outside of its country of origin.
Key learning aims
(1) The Bergen 4-day treatment (B4DT) is a highly intensive format of exposure and response prevention (ERP) for OCD.
(2) Treatment gains from the B4DT for OCD are sustained for at least 12 months, with 67% of patients remaining recovered and 84% showing improvement.
(3) Approximately half of those who do not fully benefit initially experience further improvement by the 12-month follow-up.
(4) Drop-out rates are negligible, which is unusual for exposure and response prevention.
(5) The B4DT demonstrates effectiveness beyond its country of origin.
This study investigated whether L2 processing of derived words engages biphasic morphological decomposition, comprising morpho-orthographic segmentation followed by morpho-semantic integration, as L1 processing does. Using an overt priming paradigm (SOA = 300 ms), ERP responses were compared across morphological (e.g., farmer–farm), orthographic (e.g., cashew–cash) and semantic (e.g., doctor–nurse) priming conditions in native and L2 speakers. Results revealed that both language groups exhibited distinct priming effects for morphologically related prime–target pairs across the early and late N400 windows, reflecting morpho-orthographic segmentation and morpho-semantic integration, respectively, rather than additive effects of form and meaning overlap. However, the late negativity effect, reflecting intensified lateral inhibition among similar orthographic representations, was observed during orthographic priming only in native speakers, suggesting less efficient inhibitory control in L2 processing. These findings are discussed within the framework of the Shallow Structure Hypothesis, which has provided a theoretical basis for many previous L2 studies of derived-word processing.
The network theory of mental disorders posits that associations between symptoms activate other symptoms to maintain a disorder over time. Network analytic approaches therefore may inform treatment targets. In the present study, we compared baseline OCD symptom networks among treatment responders to non-responders and examined how network structure and connectivity changed from before to after exposure and response prevention (ERP) treatment.
Methods
Community adults with OCD (n = 712) who underwent intensive outpatient treatment were assessed using the Yale-Brown Obsessive Compulsive Scale (YBOCS) at admission and discharge. Network comparison tests were used to (a) examine differences in baseline symptom network structures between treatment responders versus non-responders and (b) examine changes in network structures from pre- to post-treatment.
Results
Pre-treatment network structures and global connectivity did not differ significantly between treatment responders and non-responders. However, post-treatment networks exhibited greater global strength (i.e., stronger associations between OCD symptoms) and significantly different network structure (i.e., different patterns of associations between OCD symptoms) relative to the pre-treatment network.
Conclusions
Findings showed that network structure and connectivity in OCD may be more informative as a marker of therapeutic change than in discriminating treatment responders from nonresponders using baseline symptoms. After ERP treatment, associations between obsessions and compulsions demonstrated significantly greater global network strength and altered network structure, thus underscoring the potential for network approaches to identify mechanisms of change throughout OCD treatment. Future studies incorporating session-by-session data may clarify when and how these network shifts occur over the course of therapy to help identify treatment targets.
Oxytocin (OT) exerts widely modulatory effects on socio-emotional functions in humans, which can be achieved via enhancing the salience of social cues by interacting with the dopaminergic attention system. However, there is a lack of direct evidence for OT modulating attentional processing, with its underlying neural mechanisms remaining to be elucidated.
Methods
In a double-blind, placebo-controlled, between-subject design, 60 healthy male participants were recruited. We combined pharmaco-electroencephalography with two modified tasks (a cue-target visual search [CTVS] task and a face distractor interference [FDI] task) to investigate whether intranasal OT can modulate attentional processing of social cues in top-down versus bottom-up task sets.
Results
In the CTVS task, OT accelerated participants’ response time to target faces, which was paralleled by a larger N170 and stronger theta power, suggesting that OT promoted early top-down attentional processing of social cues. In the FDI task, OT inhibited the distractive effect of task-irrelevant emotional faces in the first half of the task via facilitating top-down attentional control to targets as reflected by enhanced attentional selection (increased N2pc) and more efficient attentional processing (decreased P300). However, in the second half, OT switched from facilitating top-down attentional control to potentiating bottom-up attentional capture by emotional face distractors, as evidenced by OT reducing response accuracy but having no effects on the N2pc and P300.
Conclusions
Our findings not only provide evidence for the role of OT in modulating attentional processing of social cues but also lend support to its therapeutic potential in normalizing such attentional deficits.
Persistent affective disturbance is a core, disabling feature of major depressive disorder (MDD), thought to stem from a dysfunctional interaction between emotional bias and cognitive control. However, the underlying neural dynamics are debated, with studies reporting both hyper- and hypoactivation. This study utilized high-temporal-resolution electroencephalogram (EEG) to resolve this discrepancy by examining distinct stages of emotional information processing.
Methods
We recruited 175 medication-free patients with MDD (Hamilton Depression Rating Scale-17 ≥ 14) and 101 healthy controls (HCs) who completed an emotional Stroop task while an EEG was recorded. We analyzed event-related potentials reflecting conflict monitoring (N250), inhibition (N450), and resolution (LSP) using a 2 (group) × 2 (valence) × 2 (congruency) analysis of variance.
Results
Results revealed a stage-specific neural cascade. Compared to HCs, the MDD group showed: (1) hypoactivation during initial conflict monitoring (attenuated N250 amplitude); (2) compensatory hyperactivation during conflict inhibition (a significant N450 interaction revealed generalized conflict activity in MDD, unlike the context-specific response in HCs); and (3) subsequent hypoactivation during conflict resolution (reduced LSP amplitude for negative stimuli). Crucially, altered N450 correlated with depression severity, and the entire neural cascade predicted behavioral performance.
Conclusions
The apparent contradiction in the literature reflects a multistage process. MDD is characterized by an inefficient neural cascade: an initial deficit in conflict monitoring is followed by compensatory overactivation during inhibition, which ultimately proves insufficient, leading to impaired late-stage resolution. This temporally specific model advances our understanding of the pathophysiology of depression and identifies potential stage-specific targets for intervention.
As people increasingly interact with large language models (LLMs), a critical question emerges: do humans process language differently when communicating with an LLM versus another human? While there is good evidence that people adapt comprehension based on their expectations toward their interlocutor in human–human interaction, human–computer interaction research suggests the adaptation to machines is often suspended until expectation violation occurs. We conducted two event-related potential experiments examining Chinese sentence comprehension, measuring neural responses to semantic and syntactic anomalies attributed to an LLM or a human. Experiment 1 revealed reduced N400 but larger P600 responses to semantic anomalies in LLM-attributed text than human-attributed one, suggesting participants anticipated semantic errors yet required increased composition/integration efforts. Experiment 2 showed enhanced P600 responses to LLM-attributed than human-attributed syntactic anomalies, reflecting greater reanalysis or integration difficulty in the former than in the latter. Notably, neural responses to LLM-attributed semantic anomalies (but not syntactic anomalies) were further modulated by participants’ belief about humanlike knowledge in LLMs, with a larger N400 and a smaller P600 in participants with stronger belief of humanlike knowledge in LLMs. These findings provide the first neurocognitive evidence that people develop mental models of LLM capabilities and adapt neural processing accordingly, offering theoretical insights aligned with multidisciplinary frameworks and practical implications for designing effective human–AI communication systems.
Subject relative (SR) clauses have a reliable processing advantage in VO languages like English in which relative clauses (RCs) follow the head noun. The question is whether this is also routinely true in OV languages like Japanese and Korean, in which RCs precede the head noun. We conducted an event-related brain potential (ERP) study of Korean RCs to test whether the SR advantage manifests in brain responses, and to tease apart the typological factors that might contribute to these responses. Our results suggest that brain responses to RCs are remarkably similar in VO and OV languages. Our results also suggest that the marking of the right edge of the RC in Chinese (Yang et al. 2010) and Korean and the absence of such marking in Japanese (Ueno & Garnsey 2008) affect the response to the following head noun. The consistent SR advantage found in ERP studies lends further support to a universal subject preference in the processing of relative clauses.
Chapter 11 introduces basic EEG and MEG data analysis methods. It begins with an explanation of the noise components in EEG and MEG signals and discusses various methods of noise reduction, including filtering and independent component analysis (ICA). Spectral analysis, event-related response (ERR) analysis, and steady-state evoked response (ssER) analysis are then introduced. Each method is explained in plain language, followed by more detailed explanations to meet the different needs of beginners and advanced readers. Relevant statistical methods and data presentation formats are also introduced, using various data analysis platforms.
Anticipatory processes can influence how quickly comprehenders can process novel linguistic input and how they learn from linguistic surprises. This chapter outlines experimental evidence establishing the psychological reality of anticipatory processes and sketches some contemporary accounts that explain how comprehenders generate predictions from linguistic input. Accounts like Pickering & Gambi’s (2018) formulation suggest that comprehenders covertly engage language production mechanisms to generate predictions about future input and to know when it is time to stop processing current input. Kuperberg and colleagues’ (2021, 2023) formulation lays out a multi-layered network that produces predictions for several different types of linguistic and semantic information (phonological/orthographic, syntactic, lexical, event). N-gram accounts (Brennan, 2020; Hale, 2003, 2016) focus on word predictions and include formal metrics of entropy and surprisal derived from information-theoretic frameworks like Shallice’s. On this account, comprehenders store in long-term memory strings of words (N-grams) and these stored patterns serve as the basis for calculating entropy (how many different continuations are possible at a given point) and surprisal (how likely is a specific word in a specific context). We present a variety of evidence indicating that n-grams may not be the sole or main basis for predictions.
The chapter will help you to be able to explain what BDD is and how it typically presents, including a preoccupation with either imagined or minor physical flaws, and the resultant safety behaviours to manage the feared impact of others perceiving this flaw, describe and use Veale & Neziroglu’s CBT protocol for BDD, explain the importance of using mirror retraining in treatment, develop a treatment plan for CBT for BDD, using appropriate measures, and take account of comorbidity in managing CBT for BDD, including that of depression, social anxiety and OCD.
The chapter will help you to be able to explain what OCD is and how it typically presents, describe and use evidence-based CBT protocols for OCD, choose and use appropriate formulation models for CBT for OCD, describe the importance of using Exposure and Response Prevention and/or Behavioural Experiments in any treatment plan, develop a treatment plan for CBT for OCD, using appropriate measures, and take account of comorbidity in managing CBT for OCD
The chapter will help you to be able to describe the impact of preoccupation, a sense of responsibility and locus of control in these related disorders, and explain how anxiety disorder interventions were further modified to better aid these populations
Individuals differ in a range of processes related to reading comprehension, including working memory capacity, decoding skills, inference making and main idea identification. In this exploratory study, we examined evoked potential N400 amplitude during reading comprehension tasks and focused on identifying the main idea in the text, modulated by working memory capacity. Participants included monolinguals or bilinguals who were either typical readers (n = 33) or had been diagnosed with dyslexia (n = 19). Analyses revealed significant group differences for main idea conditions. Participants with dyslexia showed greater N400 amplitude than typical readers, particularly in the right hemisphere, when the main idea was in the last position in the paragraph. There were no significant differences in performance between bilinguals and monolinguals, which does not support the idea of a cognitive advantage for bilingualism. It was noteworthy that, if they had dyslexia, they were similarly negatively impacted by their reading disability. Findings highlight the processing advantages typical readers have relative to dyslexia.
Although bilinguals use both auditory and visual cues, the cognitive cost of language switching in audiovisual contexts is unclear. We investigated the cost in Tibetan–Chinese bilinguals using a task with audiovisual, visual and auditory modalities. In Study 1, the audiovisual modality yielded the fastest reaction times, reflecting improved processing efficiency. ERP data revealed smaller positive amplitudes in the early window (200–350 ms) for audiovisual modality, indicating reduced neural demand, while only auditory modality showed significant divergence in the later window (350–700 ms). Moreover, audiovisual context, L2-to-L1 switching and early neural responses predicted switching behavior. Study 2 replicated the behavioral and ERP findings of Study 1 and demonstrated that auditory input and second-language processing exacerbated switch costs. These findings shed light on multisensory integration in language switching by demonstrating that audiovisual cues reduce switch costs, whereas auditory input and second-language processing exacerbate them, with implications for language education and cognitive interventions.
Understanding high-variability speech is particularly challenging for second-language (L2) learners due to difficulties with extrinsic normalization, a perceptual strategy utilizing contextual cues to overcome speech variability. This study investigates the neural correlates of these difficulties among Mandarin speakers learning Cantonese, using EEG. Behaviorally, Mandarin learners demonstrated a significant yet considerably reduced ability to normalize Cantonese tone variability with contexts compared to native Cantonese speakers. EEG analysis showed that while native speakers engage multiple neural components (N1, P2, and LPC) for acoustic, phonetic/phonological, and cognitive adjustments in extrinsic normalization, Mandarin learners only activated P2, focusing on phonetic/phonological adjustments. This discrepancy underscores the multi-faceted nature of successful extrinsic normalization, which L2 learners fail to fully engage. L2 immersion significantly improves extrinsic normalization, particularly at the cognitive-adjustment stage. Overall, this study illuminates the intricate nature of poor extrinsic normalization in L2 learners and the importance of L2 immersion for effective L2 speech perception.
A central question in foreign language (LX) learning is how vocabulary acquisition is affected by using image versus orthographic referents. According to the picture superiority effect (PSE) and bilingual/dual coding theory (b/DCT), images should lead to better novel word encoding and retrieval. We tested this prediction using behavioral and event-related potential (ERP) measures. Thirty Polish native speakers learned 40 LX (artificial language) words using either image or L1/orthographic referents. After 24 hours, participants were tested using a translational priming paradigm in congruent and incongruent training-testing modalities. Behavioral results showed higher accuracy and faster responses for LX words learned and tested with images, in line with the PSE and b/DCT. ERP results revealed smaller Late Positive Complex (LPC) amplitudes for words preceded by image compared to lexical primes, likely reflecting less cognitively demanding lexical retrieval. These results provide converging evidence that visual referents provide a more salient modality for L2 learning.
This chapter focuses on the effects of attention, including when and where in the brain these effects occur. It begins with studies of visual-spatial attention, expands to different varieties of visual attention (e.g., feature-based attention), and concludes with the effects of attention across sensory modalities. Evidence is presented from ERP studies showing the effects of attention on the P1, N1, and P3 components. The controversy regarding if attention can affect the earliest stage of cortical visual processing (indexed by the C1 component) is highlighted. Neuroimaging evidence for attention effects in striate and extrastriate cortex (e.g., area V3 and the fusiform gyrus) are presented. The controversy about whether attention effects in the thalamus, observed in some fMRI research, represent modulation of feedforward or feedback processing is discussed. Evidence is presented from single-unit recordings that supports the view that spatial attention affects early stages of cortical processing. An intriguing new theory of attention – the rhythmic theory of attention – is presented, along with supporting evidence from human and non-human studies. New evidence for suppressive mechanisms that contribute to selective attention are introduced, and the effects of visual-spatial attention are compared to the effects of feature attention, object attention, and cross-modal attention.
This chapter describes the processes of attentional control and contrasts the effects of attention on perceptual processing versus the control of attentional orienting. PET, fMRI, and single-unit recordings have identified a bilateral dorsal attention network (DAN) that controls the orienting of attention and a ventral attention network (VAN) that is critical for the reorienting of attention. The intraparietal sulcus (IPS) and frontal eye fields (FEF) have been found to be core elements of the DAN, and the temporal parietal junction (TPJ) and ventral frontal regions are consistently found to be part of the VAN. Internally generated attention, or willed attention, is contrasted to exogenous attention and externally triggered endogenous attention. New methods of analyzing patterns of brain connectivity that hold promise for helping understand individual and group differences in attentional control are described. Neurostimulation studies (e.g., tACS; cTBS; TMS) that are providing evidence for the causal involvement of DAN and VAN to attentional control are discussed, and ERP indices of attention control processes (such as the EDAN, ADAN, and LDAP components) and of executive monitoring (such as the ERN and FRN components) are described. Finally, this chapter discusses the plasticity of attention and brain training techniques such as meditation, neurofeedback, and video games.