Background: Frith et al (1995) and others have hypothesised that disruptions in the connection between left frontal and temporal areas of the brain are a central deficit in schizophrenia. In this paper we examine whether such connectivity as assessed by EEG coherence is related to level of symptoms in patients with schizophrenia.
Method: For 73 patients with schizophrenia, assessment of the EEG coherence between frontal and temporal regions were carried out under conditions of activation by a mathematical task, and between frontal and occipital regions when performing a visuo-spatial task. We then examined the relationship between these coherence measures and the reality distortion, disorganisation and psychomotor poverty dimensions of symptomatology.
Results: Only left frontal-temporal connectivity was found to have a significant negative relationship to symptomatology. This relationship was, however, specific to reality distortion rather than to symptoms of disorganisation or psychomotor poverty, and may be more characteristic of males than females.
Conclusions: Disruption of frontal-temporal connectivity appears to have a specific relationship to reality distortion symptoms in schizophrenia.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1192/bjp.170.5.411 | DOI Listing |
Biol Psychol
January 2025
Institute of Psychology, Jagiellonian University, Kraków, Poland.
A classical observation in experimental psychology is a reduction in reaction time and response accuracy under time pressure (TP). This speed-accuracy tradeoff may be understood from the combined perspectives of affordance competition and urgency gating. This view implies that action programs compete with each other from stimulus onset until the final response.
View Article and Find Full Text PDFNeurotherapeutics
January 2025
John Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA.
Acute brain injury (ABI) is a complex disease process that begins with an initial insult followed by secondary injury resulting from disturbances in cerebral physiology. In the metabolically active brain, early recognition of physiologic derangements is critical in enabling clinicians with the insight to adjust therapeutic interventions and reduce risk of ischemia and permanent injury. Current established approaches for monitoring cerebral physiology include the neurologic physical examination, traditional brain imaging such as computed tomography (CT) and magnetic resonance imaging (MRI), electroencephalography (EEG), and bedside modalities such as invasive parenchymal probes and transcranial doppler ultrasound.
View Article and Find Full Text PDFNeuropsychologia
January 2025
Queensland Brain Institute, The University of Queensland; School of Psychology, The University of Queensland; CIFAR, Canada.
Endogenous visuo-spatial attention is under the control of a fronto-parietal network of brain regions. One key node in this network, the intra-parietal sulcus (IPS), plays a crucial role in maintaining endogenous attention, but little is known about its ongoing physiology and network dynamics during different attentional states. Here, we investigated the reactivity of the left IPS in response to brain stimulation under different states of selective attention.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
Department of Psychology, Graduate School of Humanities, Kobe University, 1-1 Rokkodai- cho, Nada, Kobe, 657-8501 Japan.
Unlabelled: The integration of auditory and visual stimuli is essential for effective language processing and social perception. The present study aimed to elucidate the mechanisms underlying audio-visual (A-V) integration by investigating the temporal dynamics of multisensory regions in the human brain. Specifically, we evaluated inter-trial coherence (ITC), a neural index indicative of phase resetting, through scalp electroencephalography (EEG) while participants performed a temporal-order judgment task that involved auditory (beep, A) and visual (flash, V) stimuli.
View Article and Find Full Text PDFSci Rep
January 2025
Neuroscience Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Understanding the neural mechanisms underlying emotional processing is critical for advancing neuroscience and mental health interventions. This study examined these mechanisms by analyzing EEG connectivity patterns across different brain regions while participants evoked various emotions. After applying independent component analysis (ICA) to eliminate non-cortical activity, we assessed frequency-specific connectivity patterns using coherence, Granger causality, and graph theoretical measures to evaluate both functional and effective connectivity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!