Disrupted cortical neural inhibition has been hypothesized to be a primary contributor to the pathophysiology of autism spectrum disorder (ASD). This hypothesis predicts that ASD will be associated with an increase in neural responses. We tested this prediction by comparing fMRI response magnitudes to simultaneous visual, auditory, and motor stimulation in ASD and neurotypical (NT) individuals. No increases in the initial transient response in any brain region were observed in ASD, suggesting that there is no increase in overall cortical neural excitability. Most notably, there were widespread fMRI magnitude increases in the ASD response following stimulation offset, approximately 6-8 s after the termination of sensory and motor stimulation. In some regions, the higher fMRI offset response in ASD could be attributed to a lack of an "undershoot"-an often observed feature of fMRI responses believed to reflect inhibitory processing. Offset response magnitude was associated with reaction times (RT) in the NT group and may explain an overall reduced RT in the ASD group. Overall, our results suggest that increases in neural responsiveness are present in ASD but are confined to specific components of the neural response, are particularly strong following stimulation offset, and are linked to differences in RT.
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http://dx.doi.org/10.3389/fnhum.2020.00241 | DOI Listing |
Br J Radiol
December 2024
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Neoadjuvant Therapy (NT) has become the gold standard for treating locally advanced Breast Cancer (BC). The assessment of pathological response (pR) post-NT plays a crucial role in predicting long-term survival, with Contrast-Enhanced Magnetic Resonance Imaging (MRI) currently recognised as the preferred imaging modality for its evaluation. Traditional imaging techniques, such as Digital Mammography (DM) and Ultrasonography (US), encounter difficulties in post-NT assessments due to breast density, lesion changes, fibrosis, and molecular patterns.
View Article and Find Full Text PDFHum Brain Mapp
December 2024
Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
The ability to integrate semantic information into the context of a sentence is essential for human communication. Several studies have shown that the predictability of a final keyword based on the sentence context influences semantic integration on the behavioral, neurophysiological, and neural level. However, the architecture of the underlying network interactions for semantic integration across the lifespan remains unclear.
View Article and Find Full Text PDFFront Neurosci
December 2024
Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea.
Introduction: Functional magnetic resonance imaging (fMRI) data is highly complex and high-dimensional, capturing signals from regions of interest (ROIs) with intricate correlations. Analyzing such data is particularly challenging, especially in resting-state fMRI, where patterns are less identifiable without task-specific contexts. Nonetheless, interconnections among ROIs provide essential insights into brain activity and exhibit unique characteristics across groups.
View Article and Find Full Text PDFInt J Nanomedicine
December 2024
Department of Dermatology, Affiliated Hospital of Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, 261031, People's Republic of China.
Background: Melanoma is an aggressive skin tumor with limited therapeutic options due to rapid proliferation, early metastasis, and poor prognosis. Baicalin (BA), a natural flavonoid, shows promise in inducing ferroptosis and apoptosis but faces challenges of poor solubility and bioavailability. To address these issues, we developed a multifunctional drug delivery system: manganese-doped ZIF-8 nanoparticles (ZIF(Mn)) loaded with BA and modified with folic acid (FA) and polyethylene glycol (PEG).
View Article and Find Full Text PDFCNS Neurosci Ther
December 2024
Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Background: Mild traumatic brain injury (mTBI) frequently results in persistent cognitive, emotional, and functional impairments, closely linked to disruptions in the default mode network (DMN). Understanding the mechanisms driving these network abnormalities is critical for advancing diagnostic and therapeutic strategies.
Methods: This study adopted a multimodal approach, combining functional connectivity (FC) analysis, diffusion tensor imaging (DTI), and gene expression profiling to investigate DMN disruptions in mTBI.
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