Impairment in mismatch negativity (MMN) potentials is a robust finding in schizophrenia. While previous studies suggested that MMN in man is generated by a single dipole source bilaterally in the primary auditory cortex, more recent data modified this assumption by showing differential modulation of MMN components over the frontal and temporal scalp. Here we used a roving standard experiment to record mismatch potentials to tone duration deviants with the aim to detect robust temporal and frontal mismatch components. Fourteen schizophrenic patients with normal intelligence and without overt cognitive deficits and age- and sex-matched controls were studied. In agreement with previous findings MMN recorded from the frontal scalp was markedly attenuated in patients. However, in contrast to previous reports, positive mismatch potentials of normal magnitude were recorded from temporal (mastoid) electrodes. This finding raises the possibility of a selective impairment in multiple mismatch generators in schizophrenia and may lend support for the notion of impaired cortico-cortical connectivity in schizophrenia.
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Front Child Adolesc Psychiatry
November 2024
Department of Psychology, Palo Alto University, Palo Alto, CA, United States.
Introduction: Autism Spectrum Disorder (ASD) is characterized by deficits in social cognition, self-referential processing, and restricted repetitive behaviors. Despite the established clinical symptoms and neurofunctional alterations in ASD, definitive biomarkers for ASD features during neurodevelopment remain unknown. In this study, we aimed to explore if activation in brain regions of the default mode network (DMN), specifically the medial prefrontal cortex (MPC), posterior cingulate cortex (PCC), superior temporal sulcus (STS), inferior frontal gyrus (IFG), angular gyrus (AG), and the temporoparietal junction (TPJ), during resting-state functional magnetic resonance imaging (rs-fMRI) is associated with possible phenotypic features of autism (PPFA) in a large, diverse youth cohort.
View Article and Find Full Text PDFNature
January 2025
Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.
The ventrolateral pallial (VLp) excitatory neurons in the claustro-amygdalar complex and piriform cortex (PIR; which forms part of the palaeocortex) form reciprocal connections with the prefrontal cortex (PFC), integrating cognitive and sensory information that results in adaptive behaviours. Early-life disruptions in these circuits are linked to neuropsychiatric disorders, highlighting the importance of understanding their development. Here we reveal that the transcription factors SOX4, SOX11 and TFAP2D have a pivotal role in the development, identity and PFC connectivity of these excitatory neurons.
View Article and Find Full Text PDFInflamm Bowel Dis
January 2025
Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Background: Extraintestinal symptoms (EIS) in inflammatory bowel diseases, including fatigue, depression and anxiety, are highly prevalent, but poorly understood. Alterations of brain function may contribute to EIS, but their association with disease activity is unclear. This study analyzed intrinsic neural activity (INA) of individuals with Crohn's disease (CD) in different disease states and examined the relationship between INA and EIS.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Background: Tourette syndrome (TS) is a prevalent neurodevelopmental disorder with an uncertain etiology. Numerous neuroimaging studies have investigated patients with TS, but their conclusions remain inconsistent. The current study attempted to provide an unbiased statistical meta-analysis of published neuroimaging studies of TS.
View Article and Find Full Text PDFWearable Technol
November 2024
Embedded Systems and Robotics Lab, Tezpur University, Tezpur, Assam, India.
Electromyogram (EMG) has been a fundamental approach for prosthetic hand control. However it is limited by the functionality of residual muscles and muscle fatigue. Currently, exploring temporal shifts in brain networks and accurately classifying noninvasive electroencephalogram (EEG) for prosthetic hand control remains challenging.
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