AIMC Topic: Prefrontal Cortex

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The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS?

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 19, 2019
The ability to identify reliable and sensitive physiological signatures of psychological dimensions is key to developing intelligent adaptive systems that may in turn help to mitigate human error in complex operations. The challenge of this endeavor ...
Machine Learning Female Young Adult Adult Humans Stress, Psychological Electrocardiography Memory, Short-Term Psychomotor Performance Executive Function Male Anxiety Spectroscopy, Near-Infrared Prefrontal Cortex
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Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE).

Neural networks : the official journal of the International Neural Network Society Sep 25, 2019
We present a framework based on iterative free-energy optimization with spiking neural networks for modeling the fronto-striatal system (PFC-BG) for the generation and recall of audio memory sequences. In line with neuroimaging studies carried out in...
Neurons Mental Recall Reinforcement, Psychology Humans Prefrontal Cortex Neural Networks, Computer Action Potentials Learning Memory, Short-Term
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Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 1, 2019
Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms underlying human responses to these new, artificial social partners remain unclear. The uncanny valley (UV) hypothesis predicts that humans prefer anth...
Humans Artificial Intelligence Psychological Distance Choice Behavior Prefrontal Cortex Female Mentalization Adolescent Young Adult Magnetic Resonance Imaging Adult Robotics Male
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Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.

NeuroImage. Clinical May 28, 2019
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...
Acupuncture Therapy Low Back Pain Cerebral Cortex Connectome Placebos Humans Chronic Pain Machine Learning Basal Ganglia Prefrontal Cortex Magnetic Resonance Imaging Single-Blind Method Female Outcome Assessment, Health Care Adult Male Middle Aged
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Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

Journal of affective disorders Mar 30, 2019
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major depressive disorder (MDD) and investigational for other conditions including posttraumatic stress disorder (PTSD). Understanding the mechanisms of TMS ac...
Depressive Disorder, Major Comorbidity Prefrontal Cortex Stress Disorders, Post-Traumatic Female Sensitivity and Specificity Male Middle Aged Self Report Transcranial Magnetic Stimulation Rhode Island Treatment Outcome Support Vector Machine Predictive Value of Tests Electroencephalography Humans Machine Learning
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Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.

Neuron Jun 7, 2018
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it rema...
Mice Unsupervised Machine Learning Principal Component Analysis Brain-Computer Interfaces Spatial Navigation Neural Networks, Computer Motor Cortex Animals Macaca mulatta Prefrontal Cortex Time Factors
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How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats.

eNeuro Apr 27, 2018
Specialized brain structures encode spatial locations and movements, yet there is growing evidence that this information is also represented in the rodent medial prefrontal cortex (mPFC). Disambiguating such information from the encoding of other typ...
Space Perception Animals Rats, Long-Evans Male Neurons Prefrontal Cortex Machine Learning Behavior, Animal Rats Locomotion Electroencephalography Nerve Net
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Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.

NeuroImage Mar 26, 2018
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such trea...
Young Adult Adult Biomechanical Phenomena Male Electroencephalography Arm Neural Pathways Brain Waves Prefrontal Cortex Humans Motor Activity Robotics Female Adaptation, Physiological Motor Cortex
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A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning.

PLoS computational biology Jan 4, 2018
Reinforcement learning has been widely used in explaining animal behavior. In reinforcement learning, the agent learns the value of the states in the task, collectively constituting the task state space, and uses the knowledge to choose actions and a...
Probability Humans Markov Chains Reinforcement, Psychology Magnetic Resonance Imaging Animals Frontal Lobe Neural Networks, Computer Electrophysiology Models, Neurological Prefrontal Cortex Spatial Learning Learning Nerve Net Cognition Decision Making Neurons
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Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.

BMC medical informatics and decision making Dec 20, 2017
BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal peop...
Functional Neuroimaging Support Vector Machine Schizophrenia Adult Humans Male Biomarkers Spectroscopy, Near-Infrared Female Prefrontal Cortex Young Adult
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