Experience with visual objects leads to later improvements in identification speed and accuracy ("repetition priming"), but generally leads to reductions in neural activity in single-cell recording studies in animals and fMRI studies in humans. Here we use event-related, source-localized MEG (ER-SAM) to evaluate the possibility that neural activity changes related to priming in occipital, temporal, and prefrontal cortex correspond to more temporally coordinated and synchronized activity, reflected in local increases in the amplitude of low-frequency activity fluctuations (i.e. evoked power) that are time-locked to stimulus onset. Subjects (N = 17) identified pictures of objects that were either novel or repeated during the session. Tests in two separate low-frequency bands (theta/alpha: 5-15 Hz; beta: 15-35 Hz) revealed increases in evoked power (5-15 Hz) for repeated stimuli in the right fusiform gyrus, with the earliest significant increases observed 100-200 ms after stimulus onset. Increases with stimulus repetition were also observed in striate/extrastriate cortex (15-35 Hz) by 200-300 ms post-stimulus, along with a trend for a similar pattern in right lateral prefrontal cortex (5-15 Hz). Our results suggest that experience-dependent reductions in neural activity may affect improved behavioral identification through more coordinated, synchronized activity at low frequencies, constituting a mechanism for more efficient neural processing with experience.
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http://dx.doi.org/10.3389/fnhum.2010.00030 | DOI Listing |
Cureus
December 2024
Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.
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December 2024
Gynecology and Obstetrics Department, Unidade Local de Saúde de Viseu Dão-Lafões, Viseu, PRT.
Iniencephaly is a rare malformation of the base of the cranium, with an almost always fatal prognosis. This condition is part of the category of defects related to neural tube closure. Prenatal diagnosis can now be performed through ultrasound evaluation, allowing timely counseling.
View Article and Find Full Text PDFAsia Pac J Sports Med Arthrosc Rehabil Technol
January 2025
Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Background: Persistent maladaptive changes of corticospinal tract (CST) and quadriceps strength deficits exist in patients with anterior cruciate ligament reconstruction (ACLR). This study aimed to investigate the relationships between the structural alterations of CST and quadriceps muscle strength deficits in patients with ACLR.
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Curr Protoc
January 2025
Intramural Research Program, National Institute on Drug Abuse, Baltimore, Maryland.
In vivo calcium imaging in freely moving rats using miniscopes provides valuable information about the neural mechanisms of behavior in real time. A gradient index (GRIN) lens can be implanted in deep brain structures to relay activity from single neurons. While such procedures have been successful in mice, few reports provide detailed procedures for successful surgery and long-term imaging in rats, which are better suited for studying complex human behaviors.
View Article and Find Full Text PDFCogn Affect Behav Neurosci
January 2025
Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, MA, USA.
Post-traumatic stress and major depressive disorders are associated with "overgeneral" autobiographical memory, or impaired recall of specific life events. Interpersonal trauma exposure, a risk factor for both conditions, may influence how symptomatic trauma-exposed (TE) individuals segment everyday events. The ability to parse experience into units (event segmentation) supports memory.
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