AIMC Topic: Prefrontal Cortex

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Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence.

Communications biology
Human prefrontal areas show enhanced activations when individuals are presented with images, under diverse task conditions. However, the functional role of these increased activations remains a deeply debated question. Here we addressed this question...

Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...

Different prefrontal cortex activity patterns in bipolar and unipolar depression during verbal fluency tasks based on functional near infrared spectroscopy study.

Scientific reports
This study aimed to investigate the functionality of the prefrontal cortex in patients with unipolar depression (UD) and bipolar depression (BD) using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task (VFT). Additionally, it ...

Regional and whole-brain neurofunctional alterations during pain empathic processing of physical but not affective pain in migraine patients.

The journal of headache and pain
BACKGROUND: Accumulating evidence suggests that migraine patients present abnormal brain responses to salient sensory and emotional stimuli. However, it is still unclear whether this is a generalized or domain-specific phenomenon. Employing a well-va...

Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...

An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test.

Asian journal of psychiatry
BACKGROUND: Individuals with anxious-depressed (AD) symptoms have more severe mood disorders and cognitive impairment than those with non-anxious depression (NAD) symptoms. Therefore, it is important to clarify the underlying neurophysiology of these...

S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.

Molecular psychiatry
The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical and preclinical studies. Evidence mounted in recent years indicated development of social cognitions was more susceptible to general anesthesia in earl...

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation.

Brain connectivity
Previous studies suggest that the combination of robot-assisted training with other concurrent tasks may promote the functional recovery and improvement better than the single task. It is well-established that robot-assisted rehabilitation training ...

Latent circuit inference from heterogeneous neural responses during cognitive tasks.

Nature neuroscience
Higher cortical areas carry a wide range of sensory, cognitive and motor signals mixed in heterogeneous responses of single neurons tuned to multiple task variables. Dimensionality reduction methods that rely on correlations between neural activity a...

Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.

Proceedings of the National Academy of Sciences of the United States of America
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information main...