A central goal of modern neuroscience is to obtain a mechanistic understanding of higher brain functions under healthy and diseased conditions. Addressing this challenge requires rigorous experimental and theoretical analysis of neuronal circuits. Recent advances in optogenetics, high-resolution in vivo imaging, and reconstructions of synaptic wiring diagrams have created new opportunities to achieve this goal. To fully harness these methods, model organisms should allow for a combination of genetic and neurophysiological approaches in vivo. Moreover, the brain should be small in terms of neuron numbers and physical size. A promising vertebrate organism is the zebrafish because it is small, it is transparent at larval stages and it offers a wide range of genetic tools and advantages for neurophysiological approaches. Recent studies have highlighted the potential of zebrafish for exhaustive measurements of neuronal activity patterns, for manipulations of defined cell types in vivo and for studies of causal relationships between circuit function and behavior. In this article, we summarize background information on the zebrafish as a model in modern systems neuroscience and discuss recent results.
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http://dx.doi.org/10.1016/j.cub.2010.02.039 | DOI Listing |
J Pain Res
January 2025
Department of Rehabilitation Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Purpose: Pain is a multidimensional, unpleasant emotional and sensory experience, and accurately assessing its intensity is crucial for effective management. However, individuals with cognitive impairments or language deficits may struggle to accurately report their pain. EEG provides insight into the neurological aspects of pain, while facial EMG captures the sensory and peripheral muscle responses.
View Article and Find Full Text PDFPsychophysiology
January 2025
Consiglio Nazionale delle Ricerche, Istituto di Neuroscienze, Parma, Italy.
Attention-deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, a data-driven approach that identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies that applied MS analyses to resting-state and task-based brain activity in individuals with ADHD.
View Article and Find Full Text PDFDev Psychopathol
January 2025
Department of Psychology, University of Alberta, Edmonton, AB, Canada.
The ability to detect and monitor errors enables us to maintain optimal performance across tasks. One neurophysiological index of error monitoring is the error-related negativity (ERN), a fronto-central negative deflection peaking between 0 and 150 ms following an erroneous response. While the developmental literature has illustrated age-related differences in the ERN and its association with anxiety, the literature has mainly focused on the between-person differences of the ERN.
View Article and Find Full Text PDFPsychol Rep
January 2025
Mind Networks Association LLC, Wilmington, DE, USA.
Fear, an emotion ingrained through evolutionary adaptation, triggers protective responses to ward off threats. Yet, in some instances, the neural networks tied to fear can lead to psychosomatic ailments and behavioural issues, including the maladaptive type. This study aims to hypothesize about fear, probing its neurophysiological traits and its impact on cognitive-emotional facets of the psyche.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Hebei Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde City, Hebei, China.
Background: Mild cognitive impairment (MCI) is recognized as a condition that may increase the risk of developing Alzheimer's disease (AD). Understanding the neural correlates of MCI is crucial for elucidating its pathophysiology and developing effective interventions. Electroencephalogram (EEG) microstates, reflecting brain activity changes, have shown promise in MCI research.
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