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This chapter provides a comprehensive overview of the neurotechnologies used to record and stimulate brain activity, from invasive techniques like optogenetics and intracranial electrodes to noninvasive methods such as electroencephalography and functional magnetic resonance imaging. It explains how these technologies are evaluated based on criteria like spatial resolution, temporal resolution, safety, and portability. With this framework, each technology is evaluated in terms of its power and constraints. This chapter highlights the trade-off between technological power and practical constraints, emphasizing the need for safer, more adaptable devices for both clinical and research purposes.
Anhedonia and rumination, a form of repetitive negative thinking (RNT), are key features of depression associated with poor treatment outcomes, chronic disease progression, and an increased risk of suicidality. Although their interaction is thought to sustain depressive states, the state-level mechanisms linking these symptoms remain poorly understood.
Methods
In this multilevel, randomized within-subjects study, 62 individuals (n = 38 females) with varying levels of depressive symptoms completed the Probabilistic Reward Task (PRT) under two conditions: experimentally induced RNT and an active control. Concurrent electroencephalography was employed to assess electroencephalographic markers of reward functioning.
Results
RNT significantly attenuated both reward response bias and feedback-related positivity (FRP) amplitudes, with the most pronounced effects in individuals with more severe depressive symptoms. These effects were not attributable to differences in task difficulty or perceptual cortical processing of PRT stimuli, supporting the specificity of RNT’s impact on reward-related processes.
Conclusions
RNT may transiently disrupt behavioral and neural indicators of reward functioning. These findings suggest that cognitive states such as RNT can exacerbate or reveal the latent reward-processing deficits typically observed in individuals with anhedonia. This state-dependent sensitivity highlights the potential utility of targeting RNT to restore reward processing in depression.
Growing studies have reported an elevated risk of violence in patients with depression, yet the neurobiological underpinnings remain poorly understood. The present study explored the resting-state electroencephalogram (EEG) features in major depressive disorder (MDD) patients with violent offenses to identify potential neurological markers for violence prediction and intervention.
Methods
Twenty-nine MDD patients who committed violent offenses (violent depression [VD] group), 27 MDD patients without violent behaviors (nonviolent depression [NVD] group), and 25 healthy controls (HCs) were included. Resting-state EEGs were recorded for at least 5 min. EEG microstates, functional connectivity (FC), and graph theory metrics were analyzed and compared between groups.
Results
First, the VD group had increased microstate A, more microstates A-B transition, but lower microstates B-D and C-D transition. Second, the VD group exhibited two enhanced functional brain networks compared to NVD and HCs, and three weakened functional brain networks compared to HCs, which were primarily distributed in the frontal and frontoparietal networks. Third, the VD group specifically exhibited reduced nodal efficiency (aNe) in the superior parietal lobe and increased aNe in the middle occipital gyrus.
Conclusions
MDD patients with violent offenses exhibited alterations in EEG microstates, FCs in the frontal lobe and frontoparietal network, and disrupted aNe in specific parietal and occipital lobes. These alternations are closely associated with deficits in emotional regulation, executive function, and inhibitory control, which may subserve as potential neurobiomarkers for violence risk assessment in patients with depression.
Bilateral sensory stimulation (BLS), such as eye movements or alternating tactile stimulation, is a key component of Eye Movement Desensitisation and Reprocessing (EMDR), a recommended treatment for post-traumatic stress disorder (PTSD). However, the neurophysiological mechanisms underlying BLS remain poorly understood.
Aims
This study examined the physiological effects of visual and tactile BLS on frontal electroencephalography (EEG) activity and autonomic arousal in patients with PTSD and healthy controls, by varying the type of stimulation in different emotional stimuli.
Method
Twenty female PTSD patients and twenty matched healthy controls participated in a counterbalanced, within-subjects design. Participants recalled a subjectively stressful or neutral event while receiving visual or tactile BLS. Frontal EEG and peripheral psychophysiological measures were recorded before and after stimulation. Data were analysed using mixed model analysis to examine the effects of stimulation type, memory condition and group.
Results
Both visual and tactile BLS significantly increased the total power of frontal EEG and decreased spectral edge frequency and peripheral physiological activation. These effects were consistent between the groups and memory conditions.
Conclusions
BLS, regardless of visual or tactile modality or emotional memory content, is associated with increased frontal EEG activity and reduced autonomic arousal. These findings support the hypothesis that BLS facilitates top-down cortical regulation, potentially aiding emotional processing in EMDR by using an inherent mechanism to promote psychological recovery. More research is needed to clarify the neural mechanisms and clinical implications.
Design Neurocognition, a field bridging Design Research and Cognitive Neuroscience, offers new insights into the cognitive processes underlying creative ideation. This study adopts a micro-perspective on design ideation by examining convergent and divergent thinking as its core components. Using 32-channel EEG recordings, it investigates how educational background (Industrial Design Engineering vs. Engineering Design) influences designers’neural activity (alpha, beta, and gamma frequency bands), behavioral responses, and perceived stress during ideation tasks. Data from forty participants reveal a consistent and meaningful interaction between brain activity, behavior, and self-reported stress, highlighting that educational background significantly modulates cognitive and neural patterns during ideation. Importantly, perceived stress shows strong negative correlations with neural power across all frequency bands, suggesting a close alignment between subjective experience and physiological measures. By integrating neural, behavioral, and psychological data, this study advances the understanding of the neurocognitive mechanisms driving design ideation and establishes a methodological foundation for bridging Design and Cognitive Neuroscience. These findings contribute to building a unified evidence base for future human-centred and neuro-informed design research.
Neurons generate electromagnetic fields as they communicate with each other. Chapter 9 introduces the electromagnetic field as a key concept overarching different electrophysiological brain activities. The concept corrects common misconceptions (e.g. "EEG is the sum of action potentials") and provides a common basis for data analysis of field signals. Basic properties of the field signal, amplitude, phase and frequency, are explained in plain language.
In addition, two major noninvasive techniques for measuring field activity, electroencephalography (EEG) and magnetoencephalography (MEG), are introduced. The advantages and disadvantages of the methods are discussed with a brief history of the techniques.
Decades of research demonstrate cultural variation in different aspects of emotion, including the focus of emotion, expressive values and norms, and experiential ideals and values. These studies have focused primarily on Western and East Asian cultural comparisons, although recent work has included Latinx samples. In this chapter, we discuss why studying culture is important for studies of emotion and what neuroscientific methods can contribute to our understanding of culture and emotion. We then describe research that uses neuroscientific methods to explore both cultural differences and similarities in emotion. Finally, we discuss current challenges and outstanding questions for future research.
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.
Bilinguals simultaneously activate both languages during word retrieval. False cognates, words overlapping in form but not meaning across languages, typically trigger crosslinguistic interference relative to non-cognates. Crosslinguistic interference resolution can be impaired in bilinguals with stroke-induced aphasia, yet little is known about the neural dynamics supporting these interference resolution processes. We recorded scalp electroencephalography in 21 age-matched controls and five bilinguals with aphasia participating in a picture-word interference paradigm eliciting crosslinguistic interference and a nonlinguistic spatial Stroop task. Bilinguals with aphasia showed lower performance than age-matched controls and crosslinguistic interference was present across both groups. A medial frontal component peaking around 400 ms post stimulus presentation was present in controls across tasks but was absent in the linguistic task in bilinguals with aphasia. This suggests that while bilinguals typically engage the medial frontal cortex to resolve crosslinguistic interference, this mechanism is disrupted in bilinguals with aphasia.
Insomnia disorder, characterized by chronic sleep disruption, often co-occurs with maladaptive emotional memory processing. However, much remains unknown regarding the evolution of emotional memories and their neural representations over time among individuals with insomnia disorder.
Method
We examined the electroencephalographic (EEG) activities during emotional memory encoding, post-encoding sleep, and multiple retrieval phases – including immediate post-encoding, post-sleep, and a 7-day delayed retrieval – among 34 participants with insomnia disorder and 35 healthy control participants.
Results
Healthy controls exhibited adaptive dissipation of emotional memory: memory declined over time, accompanied by reduced subjective feelings toward negative memories. In contrast, participants with insomnia exhibited impaired dissipation: they retained both the emotional content and affective tone of the memories, with diminished time-dependent declines in memory and affect. Beyond behavioral performance, only participants with insomnia maintained stable neural representations of emotion over time, a pattern absent in healthy controls. Additionally, during the post-encoding sleep, slow-wave sleep (SWS), and rapid eye movement (REM) sleep durations predicted the adaptive dissipation of emotional memory over time, but only among healthy participants.
Conclusion
These findings highlight abnormalities in emotional memory processing among individuals with insomnia disorder and underscore the important function of SWS and REM sleep in facilitating adaptive emotional memory processing.
In addition to the international classification systems such as DSM-5 and ICD-11 discussed in earlier chapters of this book, we will now introduce three further diagnostic steps essential for diagnosing catatonia: (1) clinical rating scales, (2) the lorazepam challenge test, and (3) laboratory and neuroimaging work-up. This chapter will first present the widely used clinical rating scales for assessing catatonia, highlighting their advantages, limitations, and their role in scientific studies. While these scales are valuable tools, it is important to emphasize that clinical judgment remains crucial, as some catatonic symptoms may not be fully captured by these scales. Following this, we will explore the lorazepam challenge test, evaluating its diagnostic utility in light of current evidence. Lastly, the chapter will discuss the importance of laboratory and neuroimaging work-ups, including blood tests, lumbar puncture to examine cerebrospinal fluid, electroencephalogram, and magnetic resonance imaging, for both diagnosing catatonia and guiding therapeutic decisions.
A wrist-hand exoskeleton designed to assist individuals with wrist and hand limitations is presented in this paper. The novel design is developed based on specific selection criteria, addressing all the Degrees of Freedom (DOF). In the conceptual design phase, design concepts are created and assessed before being screened and scored to determine which concept is the most promising. Performance and possible restrictions are assessed using kinematic and dynamic analysis. Using polylactic acid material, the exoskeleton is prototyped to ensure structural integrity and fit. Manual control, master-slave control, and electroencephalography (EEG) dataset-based control are among the control strategies that have been investigated. Direct manipulation is possible with manual control, nevertheless, master-slave control uses sensors to map user motions. Brain signals for hand opening and closing are interpreted by EEG dataset-based control, which manages the hand open-close of the exoskeleton. This study introduces a novel wrist-hand exoskeleton that improves usefulness, modularity, and mobility. While the numerous control techniques give versatility based on user requirements, the 3D printing process assures personalization and flexibility in design.
Edited by
Rebecca Leslie, Royal United Hospitals NHS Foundation Trust, Bath,Emily Johnson, Worcester Acute Hospitals NHS Trust, Worcester,Alex Goodwin, Royal United Hospitals NHS Foundation Trust, Bath,Samuel Nava, Severn Deanery, Bristol
Chapter 3.2 covers biological signals monitored during anaesthesia. We begin by focussing on the basic physics of biological signals including electro-cardiogram, electro-myelogram and electro-encephalograms. There is then detail on the monitoring of these signals and basic standards required for anaesthesia. We include a structured approach to the evaluation of an electrocardiogram which is a common exam question.
Fully updated for the second edition, this text remains a comprehensive and current treatment of the cognitive neuroscience of memory. Featuring a new chapter on group differences in long-term memory, areas covered also include cognitive neuroscience methods, human brain mechanisms underlying long-term memory success, long-term memory failure, implicit memory, working memory, memory and disease, memory in animals, and recent developments in the field. Both spatial and temporal aspects of brain processing during different types of memory are emphasized. Each chapter includes numerous pedagogical tools, including learning objectives, background information, further reading, review questions, and figures. Slotnick also explores current debates in the field and critiques of popular views, portraying the scientific process as a constantly changing, iterative, and collaborative endeavor.
This chapter describes the many methods of Cognitive Neuroscience that are revealing the neural processes underlying complex cognitive processes in the brain. The benefits and limitations of each method are discussed, highlighting how there is no single “best” method and how the choice of method in any experiment should be motivated by the hypothesis being evaluated. Neuropsychology provides novel insights into the neural bases of cognitive processes but is limited because it relies on naturally occurring lesions. Neuroimaging methods (fMRI, PET, fNIRS) provide excellent spatial resolution but cannot assess the temporal order of neural activity across regions. Electroencephalography (EEG) and magnetoencephalography (MEG) can track neural activity in real time, but their spatial precision is limited because they are recorded from outside the head. Neurostimulation methods (TMS, tDCS, tACS) can uniquely assess causality by testing if, and when, a brain area is necessary for a particular function. Methods using non-human animals (e.g., single-unit recordings) can provide the highest levels of spatial and temporal precision, but they are limited to mental processes that the non-human animals can be trained to do. This chapter ends with a comparison of methods that includes portability, spatial precision, and temporal resolution.
Lingual seizures are rare hyperkinetic tongue movements with significant clinical implications due to their epileptogenic origin. Despite their diagnostic value, these seizures are often underrecognized, particularly when electroencephalographic (EEG) findings are inconclusive. This study aims to characterize their clinical features, EEG patterns, imaging findings and underlying causes, emphasizing the need for increased awareness and improved diagnosis.
Methods:
A retrospective review identified patients with isolated lingual seizures or those with additional motor involvement. Data on demographics, seizure characteristics, EEG findings, imaging results and underlying causes were collected and analyzed. Seizures were classified based on the International League Against Epilepsy (ILAE) 2017 framework to refine their clinical and diagnostic profiles.
Results:
Thirteen patients were identified: 11 with focal-aware and 1 with focal-unaware seizures. Seven had epilepsia partialis continua, and five experienced frequent seizures. Seizure involvement was limited to the tongue in four cases, extended to cranial muscles in seven and affected the tongue, cranial and extremity muscles in two. Significant ictal EEG findings were noted in only three patients with extensive motor involvement. However, nine patients had acute cerebral lesions, associated with glial tumors, encephalitis, chronic gliosis or cortical hemorrhage.
Conclusions:
This study provides a detailed characterization of lingual seizures, highlighting their clinical, electrophysiological and imaging features. Given their rarity and underdiagnosis, our findings offer valuable guidance for clinicians, underscoring the importance of improved recognition and diagnostic strategies for this distinct seizure type.
This chapter introduces the methods used in cognitive neuroscience to study language processing in the human brain. It begins by explaining the basics of neural signaling (such as the action potential) and then delves into various brain imaging techniques. Structural imaging methods like MRI and diffusion tensor imaging are covered, which reveal the brain’s anatomy. The chapter then explores functional imaging approaches that measure brain activity, including EEG, MEG, and fMRI. Each method’s spatial and temporal resolution are discussed. The text also touches on non-invasive brain stimulation techniques like TMS and tES. Throughout, the chapter emphasizes the importance of converging evidence from multiple methods to draw robust conclusions about brain function. Methodological considerations such as the need for proper statistical comparisons are highlighted. The chapter concludes with a discussion of how neurodegenerative diseases have informed our understanding of language in the brain. Overall, this comprehensive overview equips readers with the foundational knowledge needed to critically evaluate neuroscience research on language processing.
In the human body, the brain is the organ that underpins mental processing. Mental processes use the interconnected structures of the brain to synthesize the experience of the internal and external environment. Psychiatric symptoms reflect dysfunctional mental processing. These abnormalities in mental processes could arise from any combination of functional or structural changes in the brain. Neuroimaging technology provides us with methods to study these abnormal functions and structures of the brain.
Neurobiological theories draw on neurobiological evidence from fMRI but also plenty of other neuroscientific methods for theory development: On a fundamental level, neurobiological theories are neurobiological explanations about the nature of the brain-behavior link.
Despite often featuring in theoretical accounts, the exact impact of typological similarity on non-native language comprehension and its corresponding neural correlates remains unclear. We examined the modulatory role of typological similarity in syntactic violation processing in the non-native language Spanish, for example [el volcán] versus [*la volcán], and in cross-linguistic influence. Participants were Italian late learners of Spanish (similar language pair) or German late learners of Spanish (less similar language pair). We measured P600 amplitudes, accuracy and response times. In line with our predictions, we found a larger P600 effect and differential CLI effects for Italian-Spanish speakers compared to German-Spanish speakers. Behaviourally, Italian-Spanish speakers responded slower compared to German-Spanish speakers. Together, these results indicate typological similarity effects in non-native comprehension as reflected in a processing advantage for typologically similar languages, but only at the neural level. These findings have critical implications for the interplay of different languages in the multilingual brain.