Zobrazeno 1 - 10
of 505
pro vyhledávání: '"brain states"'
Autor:
Juan Fernando Gomez-Molina
Publikováno v:
International Journal of Psychological Research, Vol 17, Iss 2 (2024)
The pursuit of a unified theory that captures the intricacies of the brain and mind continues to be a significant challenge in theoretical neuroscience. This paper presents a novel, triune framework that utilizes the concept of collective biased rand
Externí odkaz:
https://doaj.org/article/c82353684e984297a410eba8fb94da13
Autor:
Isaac N. Treves, Hilary A. Marusak, Alexandra Decker, Aaron Kucyi, Nicholas A. Hubbard, Clemens C.C. Bauer, Julia Leonard, Hannah Grotzinger, Melissa A. Giebler, Yesi Camacho Torres, Andrea Imhof, Rachel Romeo, Vince D. Calhoun, John D.E. Gabrieli
Publikováno v:
Biological Psychiatry Global Open Science, Vol 4, Iss 6, Pp 100367- (2024)
Background: Trait mindfulness—the tendency to attend to present-moment experiences without judgment—is negatively correlated with adolescent anxiety and depression. Understanding the neural mechanisms that underlie trait mindfulness may inform th
Externí odkaz:
https://doaj.org/article/d1d541d36e5e4bf894eb40772703e6b1
Autor:
Chien-Hung Yeh, Yifan Xu, Wenbin Shi, James J. Fitzgerald, Alexander L. Green, Petra Fischer, Huiling Tan, Ashwini Oswal
Publikováno v:
Brain Stimulation, Vol 17, Iss 3, Pp 501-509 (2024)
Background: Gait impairment has a major impact on quality of life in patients with Parkinson's disease (PD). It is believed that basal ganglia oscillatory activity at β frequencies (15–30 Hz) may contribute to gait impairment, but the precise dyna
Externí odkaz:
https://doaj.org/article/e955a831cd284eaca3c4937d849a3b18
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Decoding of cognitive states aims to identify individuals' brain states and brain fingerprints to predict behavior. Deep learning provides an important platform for analyzing brain signals at different developmental stages to understand brain dynamic
Externí odkaz:
https://doaj.org/article/8df6c32c5cb84e4caf1a219649161d9c
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
Large-scale cortical dynamics play a crucial role in many cognitive functions such as goal-directed behaviors, motor learning and sensory processing. It is well established that brain states including wakefulness, sleep, and anesthesia modulate neuro
Externí odkaz:
https://doaj.org/article/4929288402e94fcba0220cf5647a06bf
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Different sleep stages have been shown to be vital for a variety of brain functions, including learning, memory, and skill consolidation. However, our understanding of neural dynamics during sleep and the role of prominent LFP frequency bands remain
Externí odkaz:
https://doaj.org/article/1c0b94066b814de6aeeec97dd7cc7c54
Autor:
Sana Hussain, Isaac Menchaca, Mahsa Alizadeh Shalchy, Kimia Yaghoubi, Jason Langley, Aaron R. Seitz, Xiaoping P. Hu, Megan A.K. Peters
Publikováno v:
Brain Research Bulletin, Vol 202, Iss , Pp 110733- (2023)
The locus coeruleus (LC), a small subcortical structure in the brainstem, is the brain’s principal source of norepinephrine. It plays a primary role in regulating stress, the sleep-wake cycle, and attention, and its degradation is associated with a
Externí odkaz:
https://doaj.org/article/6264fbc991c6442ba2a345a054a7902f
Publikováno v:
eLife, Vol 12 (2023)
Cognition and attention arise from the adaptive coordination of neural systems in response to external and internal demands. The low-dimensional latent subspace that underlies large-scale neural dynamics and the relationships of these dynamics to cog
Externí odkaz:
https://doaj.org/article/b8f7c548120649dab61aabdaca89f0e5
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Akademický článek
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