AIMC Topic: Dorsolateral Prefrontal Cortex

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Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Translational psychiatry Jan 11, 2025
Depression treatment responses vary widely among individuals. Identifying objective biomarkers with predictive accuracy for therapeutic outcomes can enhance treatment efficiency and avoid ineffective therapies. This study investigates whether functio...
Hemoglobins Antidepressive Agents Dorsolateral Prefrontal Cortex Longitudinal Studies Bayes Theorem Machine Learning Female Adult Humans Male Spectroscopy, Near-Infrared Middle Aged Functional Neuroimaging Depressive Disorder, Major Treatment Outcome
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Artificial neural network for evaluating sleep spindles and slow waves after transcranial magnetic stimulation in a child with autism.

Neurocase Dec 4, 2024
Sleep spindles (SS) and slow waves (SW) serve as indicators of the integrity of thalamocortical connections, which are often compromised in individuals with autism spectrum disorder (ASD). Transcranial magnetic stimulation (TMS) can modulate brain ac...
Neural Networks, Computer Autism Spectrum Disorder Male Humans Dorsolateral Prefrontal Cortex Transcranial Magnetic Stimulation Sleep Stages Child Electroencephalography Sleep Sleep, Slow-Wave
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Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging.

Human brain mapping Nov 13, 2020
Previous work using logistic regression suggests that cognitive control-related frontoparietal activation in early psychosis can predict symptomatic improvement after 1 year of coordinated specialty care with 66% accuracy. Here, we evaluated the abil...
Executive Function Follow-Up Studies Magnetic Resonance Imaging Schizophrenia Outcome Assessment, Health Care Psychomotor Performance Dorsolateral Prefrontal Cortex Adolescent Bipolar Disorder Support Vector Machine Deep Learning Functional Neuroimaging Humans Machine Learning Female Young Adult Adult Male
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Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

European archives of psychiatry and clinical neuroscience Jul 27, 2020
Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress disorder (PTSD), and recent neuroimaging work indicates that functional connectivity profiles may be able to identify those most likely to respond. Ho...
Humans Reproducibility of Results Stress Disorders, Post-Traumatic Support Vector Machine Dorsolateral Prefrontal Cortex Electroencephalography Transcranial Magnetic Stimulation Rest Theta Rhythm
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Altered resting-state functional connectivity and effective connectivity of the habenula in irritable bowel syndrome: A cross-sectional and machine learning study.

Human brain mapping Jun 3, 2020
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain-gut interactions characterized by chronic recurrent abdominal pain, altered bowel habits, and negative emotion. Previous studies have linked the habenula to the pathophysiolog...
Female Periaqueductal Gray Support Vector Machine Humans Young Adult Magnetic Resonance Imaging Habenula Adult Cross-Sectional Studies Feasibility Studies Thalamus Pain Male Middle Aged Connectome Irritable Bowel Syndrome Dorsolateral Prefrontal Cortex
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Machine learning identification of enhancers in the rhesus macaque genome.

Neuron May 21, 2025
Nonhuman primate (NHP) neuroanatomy and cognitive complexity make NHPs ideal models to study human neurobiology and disease. However, NHP circuit-function investigations are limited by the availability of molecular reagents that are effective in NHPs...
Enhancer Elements, Genetic Machine Learning Dorsolateral Prefrontal Cortex Animals Macaca mulatta Genome
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Cathodal Transcranial Direct Current Stimulation Does Not Change Implicit Associations Against Alcohol in Alcohol Use Disorder: A Preregistered Clinical Trial.

Addiction biology Mar 1, 2025
Addictive behaviour is shaped by the dynamic interaction of implicit, bottom-up and explicit, top-down cognitive processes. In alcohol use disorder (AUD), implicit alcohol-related associations have been shown to predict increased subsequent alcohol c...
Dorsolateral Prefrontal Cortex Cognition Adult Double-Blind Method Alcoholism Male Cross-Over Studies Transcranial Direct Current Stimulation Middle Aged Craving Humans Female
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