Neurophysiological Evidence of Compensatory Brain Mechanisms Underlying Attentional-Related Processes in Symptomatically Remitted Patients with Schizophrenia

Pathophysiological changes in incentive processing in episodic migraine: a preliminary event-related potential study

This study examined pathophysiological changes in incentive processing in migraineurs. Nineteen episodic migraine (EM) patients and 19 healthy controls (HCs) performed a monetary incentive delay task while their event-related potentials were recorded. During the incentive anticipation phase, both Cue-N2 and Cue-P3 amplitudes were responsive to incentive cues in both groups, indicating no between-group differences in the distinct anticipatory subprocesses that underly incentive cue evaluation. During the outcome phase, the feedback-related negativity amplitude, associated with performance evaluation, was larger for punishing feedback than rewarding feedback across both groups. However, the feedback-P3 amplitude, linked to attentional processing of motivational value of outcome feedback, was significantly larger for rewarding feedback than punishing feedback in HCs, but not in EM patients. Moreover, a significant negative correlation was observed between the feedback-P3 amplitude difference for rewarding minus punishing feedback and subjective pain intensity in EM patients. Finally, the feedback late-positive potential amplitude, related to affective processing of affective value of outcome feedback, was significantly larger for punishing feedback than rewarding feedback only in HCs, but not in EM patients. Our findings suggest that recurrent severe pain may relate to abnormal incentive-related brain activity during the outcome phase of incentive processing.

Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions

Objectives. There is a significant correlation between EEG microstate and the neurophysiological basis of mental illness, brain state, and cognitive function. Given that the unclear relationship between network dynamics and different microstates, this paper utilized microstate, brain network, and control theories to understand the microstate characteristics of short-term memory task, aiming to mechanistically explain the most influential microstates and brain regions driving the abnormal changes in brain state transitions in patients with schizophrenia. Methods. We identified each microstate and analyzed the microstate abnormalities in schizophrenia patients during short-term memory tasks. Subsequently, the network dynamics underlying the primary microstates were studied to reveal the relationships between network dynamics and microstates. Finally, using control theory, we confirmed that the abnormal changes in brain state transitions in schizophrenia patients are driven by specific microstates and brain regions. Results. The frontal-occipital lobes activity of microstate D decreased significantly, but the left frontal lobe of microstate B increased significantly in schizophrenia, when the brain was moving toward the easy-to-reach states. However, the frontal-occipital lobes activity of microstate D decreased significantly in schizophrenia, when the brain was moving toward the hard-to-reach states. Microstate D showed that the right-frontal activity had a higher priority than the left-frontal, but microstate B showed that the left-frontal priority decreased significantly in schizophrenia, when changes occur in the synchronization state of the brain. Conclusions. In conclusion, microstate D may be a biomarker candidate of brain abnormal activity during the states transitions in schizophrenia, and microstate B may represent a compensatory mechanism that maintains brain function and exchanges information with other brain regions. Microstate and brain network provide complementary perspectives on the neurodynamics, offering potential insights into brain function in health and disease.

Conflict detection and resolution in macaque frontal eye fields

Stimulus-induced conflicts in decision-making tasks produce both behavioral and neuronal congruency effects. However, how and when conflicts are detected and resolved at the neuronal level remains largely unclear. To address these issues, we recorded from single neurons in the frontal eye fields of two macaques performing a conflict task. Although the temporal dynamics of the neuronal congruency effects are independent of the specific task rules, they are substantially different in target- and distractor-encoding neurons. Conflicts were detected ~100 ms after the conflict-inducing cue (20-30 ms after the visual response), which is much faster than predicted based on human EEG results. This suggests that conflict detection relies on a fast mechanism in frontal eye fields. Resolving the conflict at the neuronal level, however, requires between <400 ms to ~1000 ms, and shows profound interindividual differences and depends on task rules, indicating that it is a more complex and top-down driven process. Our findings illuminate the neuronal mechanisms underlying decision-making when a conflict is present, a crucial cognitive process playing a role in basic survival and high-level cognitive functions.

ERPs responses to dominance features from human faces

Social dominance is an important feature of social life. Dominance has been proposed to be one of two trait dimensions underpinning social judgments of human faces. Yet, the neural bases of the ability to identify different dominance levels in others based on intrinsically facial cues remains poorly understood. Here, we used event-related potentials to determine the temporal dynamics of facial dominance evaluation based on facial features signaling physical strength/weakness in humans. Twenty-seven participants performed a dominance perception task where they passively viewed faces with different dominance levels. Dominance levels did not modulate an early component of face processing, known as the N170 component, but did modulate the late positive potential (LPP) component. These findings indicate that participants inferred dominance levels at a late stage of face evaluation. Furthermore, the highest level of dominant faces and the lowest level of submissive faces both elicited higher LPP amplitudes than faces with a neutral dominance level. Taken together, the present study provides new insights regarding the dynamics of the neurocognitive processes underlying facial dominance evaluation.

Abnormalities in resting-state EEG microstates are a vulnerability marker of migraine

Background

Resting-state EEG microstates are thought to reflect brief activations of several interacting components of resting-state brain networks. Surprisingly, we still know little about the role of these microstates in migraine. In the present study, we attempted to address this issue by examining EEG microstates in patients with migraine without aura (MwoA) during the interictal period and comparing them with those of a group of healthy controls (HC).

Methods

Resting-state EEG was recorded in 61 MwoA patients (50 females) and 66 HC (50 females). Microstate parameters were compared between the two groups. We computed four widely identified canonical microstate classes A-D.

Results

Microstate classes B and D displayed higher time coverage and occurrence in the MwoA patient group than in the HC group, while microstate class C exhibited significantly lower time coverage and occurrence in the MwoA patient group. Meanwhile, the mean duration of microstate class C was significantly shorter in the MwoA patient group than in the HC group. Moreover, among the MwoA patient group, the duration of microstate class C correlated negatively with clinical measures of headache-related disability as assessed by the six-item Headache Impact Test (HIT-6). Finally, microstate syntax analysis showed significant differences in transition probabilities between the two groups, primarily involving microstate classes B, C, and D.

Conclusions

By exploring EEG microstate characteristics at baseline we were able to explore the neurobiological mechanisms underlying altered cortical excitability and aberrant sensory, affective, and cognitive processing, thus deepening our understanding of migraine pathophysiology.

Neurocognitive efficiency in breast cancer survivorship: A performance monitoring ERP study

Breast cancer diagnosis and treatment can lead to longer term cognitive and emotional vulnerability, making the ability to efficiently adapt to setbacks critical. Whilst cancer-related cognitive impairments (CRCI) are often reported amongst breast cancer survivors, investigation into the capacity to efficiently process errors is limited. The present study investigated the neurocognitive correlates of cognitive-control related performance monitoring, an important function influencing behavioural adjustment to mistakes. 62 participants (30 Breast Cancer Survivors, 32 Non-Cancer) completed a modified flanker task designed to challenge response inhibition as we measured neurocognitive indices of performance monitoring (ERN, the error-related negativity; CRN, the correct-response negativity; Pe, the error positivity). Findings indicated a blunted CRN and larger ∆ERN in the breast cancer survivors compared to the non-cancer group, in the absence of performance effects. This was followed by a larger Pe in the breast cancer survivors' group, indicating an exaggerated performance monitoring response. For women affected by breast cancer, findings suggest an early disrupted neural response to monitoring cognitive performance, followed by the requirement for more effortful processing in the conscious response to errors, indicating deficits in neurocognitive efficiency. These findings have important implications for developing cognitive rehabilitation programmes for breast cancer survivors affected by cognitive dysfunction to assist in the monitoring and adjustment of performance required to meet established goals in the face of adversity.

Response inhibition alterations in migraine: evidence from event-related potentials and evoked oscillations

BACKGROUND

Migraine is characterized by a hypersensitivity to environmental stimulation which climaxes during headache attacks but persists during attack-free period. Despite ongoing debates about the nature of the mechanisms giving rise to this abnormality, the presence of deficient inhibitory cortical processes has been proposed to be one possible mechanism underlying its pathogenesis. Empirical evidence supporting this claim is mainly based on previous accounts showing functional cortical disexcitability in the sensory domain. Considering that a general inhibitory control process can play an important role across early to later stage of information processing, this may indicate the important role other dimensions of inhibitory control can play in migraine disability. The present study examined the pathophysiological features of inhibitory control that takes place during suppression of prepotent responses in migraineurs.

METHODS

Twenty-two patients with migraine without aura (mean age = 30.86 ± 5.69 years; 19 females) during the interictal period and 25 healthy controls (mean age = 30.24 ± 3.52 years; 18 females) were recruited. We used a stop signal task in combination with event-related potentials (ERPs) to examine participants' neural activity supporting response inhibition.

RESULTS

Behaviorally, migraineurs exhibited prolonged stop signal reaction times relative to healthy controls. At the neural level, the amplitude of the stop-N2 over fronto-central, central and centro-parietal scalp regions, a component of the ERPs related to conflict monitoring during early, non-motoric stages of inhibition, was significantly increased in migraineurs. Meanwhile, the amplitude of the stop-P3 over central and centro-parietal scalp regions, a component of the ERPs reflecting late-stage inhibition of the motor system and cognitive evaluation of motor inhibition, was also significantly increased in migraineurs. Ultimately, our time-frequency analysis further revealed increased delta activity in migraineurs.

CONCLUSIONS

Consistent with the theory that alterations in cognitive cortical processes are a key signature of migraine, our findings revealed an abnormal state of suppressing prepotent responses in migraineurs, which can be attributed to cortical disexcitability of the pre-frontal executive network and centro-parietal sensorimotor network. These novel findings extend to show the existence of dysfunctional inhibition control that occurs during suppression of prepotent responses in migraneurs.

Executive control dysfunction in subclinical depressive undergraduates: Evidence from the Attention Network Test

BACKGROUND

It has been proposed that depressed individuals have broad neuropsychological dysfunction, particularly in the executive control domain. The Attention Network Test (ANT) is widely used to assess the efficiency of three attention networks: alerting, orienting, and executive control. In the present study, we investigated the behavioral and event-related potential (ERP) indicators of attention processing in subclinical depressive undergraduates.

METHODS

Seventeen undergraduates with subclinical depressive symptoms and sixteen control undergraduates completed the Attention Network Test (ANT).

RESULTS

The results indicated no difference in behavioral performance on the three attention networks between the two groups; and there was a similar ERP pattern in the ERP components involved in alerting and orienting (cue-N1 and target-N1) in both groups. Additionally, for executive function network, no difference in the N2 component associated with conflict detection was observed between the two groups. However, there was an increase in the congruency effect of the conflict-sustained potential (SP; incongruent minus congruent) related to conflict resolution in undergraduates with subclinical depressive symptoms compared with control undergraduates.

LIMITATIONS

The present study is limited by its small sample size which might result in inadequate statistical power to detect potential group differences in behavior. Additionally, the present study focused primarily on individuals with subclinical depression, and the extent to which these findings would generalize to those with more severe symptoms or clinical major depressive disorder is unknown.

CONCLUSIONS

The findings suggest that undergraduates with subclinical depressive symptoms might need to recruit additional compensatory cognitive resources to obtain an equivalent behavioral performance compared with that in undergraduates with none or few depressive symptoms in executive control processing. The current study further provides evidence for the cortical inefficiency theory, which might account for executive control dysfunction in individuals with subclinical depression.