Combined LORETA and fMRI study of recognition of eyes and eye movement in schizophrenia

Suzuki, Akihiko; Kirino, Eiji

doi:10.1016/j.ics.2004.05.043

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…These authors suggested that this activation reflects an allocation of attentional resources to signals of potential threat [1]. In another study from Suzuki and Kirino [55] using fMRI, attenuated activity of the right superior temporal region and transverse temporal gyrus and overactivity in the left amygdala were recorded for moving eyes. …”

Section: Discussionmentioning

confidence: 99%

“…We previously reported that individuals with schizophrenia specifically have difficulty with recognizing eye movements rather than with processing a static face [55]. Thus, we hypothesized that dynamic processing in investigations of abnormalities of emotion processing in schizophrenia would reflect clinical observations better than studies using static stimuli.…”

Section: Introductionmentioning

confidence: 99%

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Response of Schizophrenic Patients to Dynamic Facial Expressions: An Event-Related Potentials Study

Fukuta

Kirino²,

Inoue³

et al. 2014

Neuropsychobiology

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Objective: Patients with schizophrenia have an impaired ability to respond to faces and may specifically show an impaired response to dynamic facial expressions. Here we investigated the responses of schizophrenic patients and healthy controls to dynamic facial images using event-related potentials (ERPs). Methods: We showed 13 schizophrenic patients and 13 healthy controls visual stimuli comprising facial expressions that continually changed from neutral to emotional. Results: N200 latencies and P100-N200 peak-to-peak amplitudes in controls were prolonged or greater for dynamic emotions in comparison with those for static stimuli, but the group with schizophrenia showed no significant differences in responses to dynamic and static emotions. A significant negative correlation was observed between N200 latencies for dynamic negative emotion and PANSS (positive and negative syndrome scale) general psychopathology scale scores. Conclusions: A combination of hypersensitivity to static emotions and hyposensitivity to dynamic emotions in people with schizophrenia might underlie the absence of differences in response to these stimuli. A tendency in the schizophrenic group to hypersensitivity to static emotions might arise from the enhanced fear and arousal characteristics of this group; their hyposensitivity to dynamic emotions might result from controlled attentional bias away from facial expressions to reduce fear and anxiety.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Response of Schizophrenic Patients to Dynamic Facial Expressions: An Event-Related Potentials Study

Fukuta

Kirino²,

Inoue³

et al. 2014

Neuropsychobiology

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“…( 115 ) using swLORETA source reconstruction found thalamic and cerebellar generators for motor imagery, by localizing scalp recorded EEG, while Gerez et al. ( 116 ) and Suzuki and Kirino ( 117 ) found LORETA evidences of amygdala activity in combined EEG and fMRI studies on schizophrenics and patients affected by panic disorder.…”

Section: Discussionmentioning

confidence: 99%

Neural correlates of recalled sadness, joy, and fear states: a source reconstruction EEG study

Proverbio,

Cesati

2024

Front. Psychiatry

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IntroductionThe capacity to understand the others’ emotional states, particularly if negative (e.g. sadness or fear), underpins the empathic and social brain. Patients who cannot express their emotional states experience social isolation and loneliness, exacerbating distress. We investigated the feasibility of detecting non-invasive scalp-recorded electrophysiological signals that correspond to recalled emotional states of sadness, fear, and joy for potential classification.MethodsThe neural activation patterns of 20 healthy and right-handed participants were studied using an electrophysiological technique. Analyses were focused on the N400 component of Event-related potentials (ERPs) recorded during silent recall of subjective emotional states; Standardized weighted Low-resolution Electro-magnetic Tomography (swLORETA) was employed for source reconstruction. The study classified individual patterns of brain activation linked to the recollection of three distinct emotional states into seven regions of interest (ROIs).ResultsStatistical analysis (ANOVA) of the individual magnitude values revealed the existence of a common emotional circuit, as well as distinct brain areas that were specifically active during recalled sad, happy and fearful states. In particular, the right temporal and left superior frontal areas were more active for sadness, the left limbic region for fear, and the right orbitofrontal cortex for happy affective states.DiscussionIn conclusion, this study successfully demonstrated the feasibility of detecting scalp-recorded electrophysiological signals corresponding to internal and subjective affective states. These findings contribute to our understanding of the emotional brain, and have potential applications for future BCI classification and identification of emotional states in LIS patients who may be unable to express their emotions, thus helping to alleviate social isolation and sense of loneliness.

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Combined LORETA and fMRI study of recognition of eyes and eye movement in schizophrenia

Cited by 2 publications

References 18 publications

Response of Schizophrenic Patients to Dynamic Facial Expressions: An Event-Related Potentials Study

Response of Schizophrenic Patients to Dynamic Facial Expressions: An Event-Related Potentials Study

Neural correlates of recalled sadness, joy, and fear states: a source reconstruction EEG study

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