It's all about timing : an electrophysiological examination of feedback-based learning with immediate and delayed feedback

Feedback regarding an individual's action can occur immediately or with a temporal delay. Processing of feedback that varies in its delivery time is proposed to engage different brain mechanisms. fMRI data implicate the striatum in the processing of immediate feedback, and the medial temporal lobe (MTL) in the processing of delayed feedback. The present study offers an electrophysiological examination of feedback processing in the context of timing, by studying the effects of feedback timing on the feedback-related negativity (FRN), a product of the midbrain dopamine system, and elucidating whether the N170 ERP component could capture MTL activation associated with the processing of delayed feedback. Participants completed a word-object paired association learning task; they received feedback 500 ms (immediate feedback condition) following a button press during the learning of two sets of 14 items, and at a delay of 6500 ms (delayed feedback condition) during the learning of the other two sets. The results indicated that while learning outcomes did not differ under the two timing conditions, Event Related Potential (ERPs) pointed to differential activation of the examined ERP components. FRN amplitude was found to be larger following the immediate feedback condition when compared with the delayed feedback condition, and sensitive to valence and learning only under the immediate feedback condition. Additionally, the amplitude of the N170 was found larger following the delayed feedback condition when compared with the immediate feedback condition. Taken together, the findings of the present study support the contention that the processing of delayed feedback involves a shift away from midbrain dopamine activation to the recruitment of the MTL

The influence of top-down modulation on the processing of direct gaze

Gaze or eye contact is one of the most important non-verbal social cues, which is fundamental to human social interactions. To achieve real time and dynamic face-to-face communication, our brain needs to process another person's gaze direction rapidly and without explicit instruction. In order to explain fast and spontaneous processing of direct gaze, the fast-track modulator model (Senju & Johnson, 2009) was proposed. Here, we review recent developments in gaze processing research in the last decade to extend the fast-track modulator model. In particular, we propose that task demand or top-down modulation could play a more crucial role at gaze processing than formerly assumed. We suggest that under different task demands, top-down modulation can facilitate or interfere with the direct gaze effects for early visual processing. The proposed modification of the model extends the role of task demand and its implication on the direct gaze effect, as well as the need to better control for top-down processing in order to better disentangle the role of top-down and bottom-up processing on the direct gaze effect

Understanding the Pathophysiology of Alzheimer's Disease and Mild Cognitive Impairment: A Mini Review on fMRI and ERP Studies

The prevalence of Alzheimer's disease (AD) is predicted to increase rapidly in the coming decade, highlighting the importance of early detection and intervention in patients with AD and mild cognitive impairment (MCI). Recently, remarkable advances have been made in the application of neuroimaging techniques in investigations of AD and MCI. Among the various neuroimaging techniques, functional magnetic resonance imaging (fMRI) has many potential advantages, noninvasively detecting alterations in brain function that may be present very early in the course of AD and MCI. In this paper, we first review task-related and resting-state fMRI studies on AD and MCI. We then present our recent fMRI studies with additional event-related potential (ERP) experiments during a motion perception task in MCI. Our results indicate that fMRI, especially when combined with ERP recording, can be useful for detecting spatiotemporal functional changes in AD and MCI patients

Altered N170 and mood symptoms in bipolar disorder: An electrophysiological study of configural face processing

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145368/1/bdi12587.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145368/2/bdi12587_am.pd

The cognitive and neural basis of developmental prosopagnosia

Developmental prosopagnosia (DP) is a severe impairment of visual face recognition in the absence of any apparent brain damage. The factors responsible for DP have not yet been fully identified. This article provides a selective review of recent studies investigating cognitive and neural processes that may contribute to the face recognition deficits in DP, focusing primarily on event-related brain potential (ERP) measures of face perception and recognition. Studies that measured the face-sensitive N170 component as a marker of perceptual face processing have shown that the perceptual discrimination between faces and non-face objects is intact in DP. Other N170 studies suggest that faces are not represented in the typical fashion in DP. Individuals with DP appear to have specific difficulties in processing spatial and contrast deviations from canonical upright visual-perceptual face templates. The rapid detection of emotional facial expressions appears to be unaffected in DP. ERP studies of the activation of visual memory for individual faces and of the explicit identification of particular individuals have revealed differences between DPs and controls in the timing of these processes and in the links between visual face memory and explicit face recognition. These observations suggest that the speed and efficiency of information propagation through the cortical face network is altered in DP. The nature of the perceptual impairments in DP suggests that atypical visual experience with the eye region of faces over development may be an important contributing factor to DP

Electrophysiological assessment methodology of sensory processing dysfunction in schizophrenia and dementia of the Alzheimer type

Schizophrenia and Alzheimer’s disease impacts on various sensory processings are extensively reviewed in the present publication. This article describes aspects of a research project whose aim is to delineate the neurobiology that may underlie Social Withdrawal in Alzheimer’s disease, Schizophrenia and Major Depression. This is a European-funded IMI 2 project, identified as PRISM (Psychiatric Ratings using Intermediate Stratified Markers). This paper focuses specifically on the selected electrophysiological paradigms chosen based on a comprehensive review of all relevant literature and practical constraints. The choice of the electrophysiological biomarkers were fundamentality based their metrics and capacity to discriminate between populations. The selected electrophysiological paradigms are resting state EEG, auditory mismatch negativity, auditory and visual based oddball paradigms, facial emotion processing ERP’s and auditory steady-state response. The primary objective is to study the effect of social withdrawal on various biomarkers and endophenotypes found altered in the target populations. This has never been studied in relationship to social withdrawal, an important component of CNS diseases

Abnormalities in visual processing lead to hypersociability and evaluation of trust:An ERP study of Williams syndrome

Accurate assessment of trustworthiness is fundamental to successful and adaptive social behavior. Initially, people assess trustworthiness from facial appearance alone. These assessments then inform critical approach or avoid decisions. Individuals with Williams syndrome (WS) exhibit a heightened social drive, especially toward strangers. This study investigated the temporal dynamics of facial trustworthiness evaluation in neurotypic adults (TD) and individuals with WS. We examined whether differences in neural activity during trustworthiness evaluation may explain increased approach motivation in WS compared to TD individuals. Event-related potentials were recorded while participants appraised faces previously rated as trustworthy or untrustworthy. TD participants showed increased sensitivity to untrustworthy faces within the first 65–90 ms, indexed by the negative-going rise of the P1 onset (oP1). The amplitude of the oP1 difference to untrustworthy minus trustworthy faces was correlated with lower approachability scores. In contrast, participants with WS showed increased N170 amplitudes to trustworthy faces. The N170 difference to low–high-trust faces was correlated with low approachability in TD and high approachability in WS. The findings suggest that hypersociability associated with WS may arise from abnormalities in the timing and organization of early visual brain activity during trustworthiness evaluation. More generally, the study provides support for the hypothesis that impairments in low-level perceptual processes can have a cascading effect on social cognition.</p

Individual differences in face cognition

Zusammenhänge zwischen neurokognitiven Indikatoren und Verhaltensindikatoren der Gesichterkognition können Gehirnsysteme und neuronale Subprozesse identifizieren, die individuellen Unterschieden im Verhalten zugrunde liegen. Diese Dissertation zeigt, dass Ereigniskorrelierte Potentiale (EKPs) als neurokognitive Indikatoren für die Erforschung individueller Unterschiede eingesetzt werden können, denn sie weisen die gleichen hohen psychometrischen Qualitäten wie andere Fähigkeitsindikatoren auf und messen daher individuelle Unterschiede in der neuronalen Verarbeitung zuverlässig und stabil über die Zeit. Auf der Verhaltensebene wurden drei Teilfähigkeiten der Gesichterkognition etabliert: Gesichterwahrnehmung, Gesichtergedächtnis und Gesichtergeschwindigkeit. EKPs wurden in Strukturgleichungsmodellen verwendet, um den Beitrag neurokognitiver Indikatoren an individuellen Unterschieden dieser Gesichterkognitionsfähigkeiten zu schätzen. Für 85 Probanden wurden Beziehungen zwischen den Gesichterkognitionsfähigkeiten und der P100, N170, der sogenannten Differenz aufgrund des Gedächtnisses (Dm) und dem frühen sowie späten Wiederholungseffekt (ERE und LRE) etabliert. Spezifische Anteile individueller Unterschiede in der Gesichterkognition auf der Verhaltensebene wurden durch individuelle Unterschiede im Zeitverlauf der strukturellen Gesichteranalyse (N170 Latenz) sowie in der Reaktivierung von Repräsentationen gespeicherter Gesichtsstrukturen (ERE) als auch personen-spezifischen Wissens (LRE) erklärt. Keinen Anteil an individuellen Unterschieden erklärten hingegen frühe Wahrnehmungsprozesse (P100), die neuronale Aktivierung während der strukturellen Gesichteranalyse (N170 Amplitude) und Prozesse der Gedächtnisenkodierung von Gesichtern (Dm). Diese Ergebnisse zeigen, dass individuelle Unterschiede in der Gesichterkognition von der strukturellen Gesichteranalyse sowie von der Effizienz und Geschwindigkeit des Zugriffs auf Gedächtnisinhalte zu Gesichtern und Personen abhängt.Individual differences in perceiving, learning, and recognizing faces were shown on the behavioral and neural level but were rarely related to one another. By determining relationships between behavioral and neurocognitive indicators of face cognition, brain systems and neural sub-processes can be identified that underlie individual variations on the behavioral level. The present dissertation laid the foundation for using event-related potentials (ERPs) as neurocognitive indicators in individual differences research. ERP components were shown to possess the same high psychometric qualities as behavioral ability measures and thus to measure individual differences of neural processing reliably and stably across time. On the behavioral level, three component abilities of face cognition were established: face perception, face memory, and the speed of face cognition. ERP components were used in structural equation models that estimated contributions of neurocognitive indicators to the individual differences in these face cognition abilities. Regression analysis was used to determine the contributions of P100, N170, the so called difference due to memory (Dm), as well as early and late repetition effects (ERE and LRE) to face cognition abilities in 85 participants. Certain amounts of variance in face cognition as seen on the behavioral level were accounted for by individual differences in the temporal dimension of structural encoding of a face (N170 latency) and in the re-activation of both stored facial structures (ERE) and person-identity information (LRE). In contrast, processes of early vision (P100), the neural activation of structural face encoding (N170 amplitude), and memory encoding of new faces (Dm) did not show any contribution to individual differences in face cognition. These findings show that individual differences in face cognition depend on the speed of structurally encoding faces and on the efficiency and speed of accessing face and person memory

Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights

Both facial expression and tone of voice represent key signals of emotional communication but their brain processing correlates remain unclear. Accordingly, we constructed a novel implicit emotion recognition task consisting of simultaneously presented human faces and voices with neutral, happy, and angry valence, within the context of recognizing monkey faces and voices task. To investigate the temporal unfolding of the processing of affective information from human face-voice pairings, we recorded event-related potentials (ERPs) to these audiovisual test stimuli in 18 normal healthy subjects; N100, P200, N250, P300 components were observed at electrodes in the frontal-central region, while P100, N170, P270 were observed at electrodes in the parietal-occipital region. Results indicated a significant audiovisual stimulus effect on the amplitudes and latencies of components in frontal-central (P200, P300, and N250) but not the parietal occipital region (P100, N170 and P270). Specifically, P200 and P300 amplitudes were more positive for emotional relative to neutral audiovisual stimuli, irrespective of valence, whereas N250 amplitude was more negative for neutral relative to emotional stimuli. No differentiation was observed between angry and happy conditions. The results suggest that the general effect of emotion on audiovisual processing can emerge as early as 200 msec (P200 peak latency) post stimulus onset, in spite of implicit affective processing task demands, and that such effect is mainly distributed in the frontal-central region