AIMC Topic: Temporal Lobe
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Atypical Asymmetry for Processing Human and Robot Faces in Autism Revealed by fNIRS.
PloS one
Jul 7, 2016
Deficits in the visual processing of faces in autism spectrum disorder (ASD) individuals may be due to atypical brain organization and function. Studies assessing asymmetric brain function in ASD individuals have suggested that facial processing, whi...
Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients.
The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
Oct 9, 2015
OBJECTIVES: This study investigates whether abnormal neural oscillations, which have been shown to precede the onset of frank psychosis, could be used towards the individualised prediction of psychosis in clinical high-risk patients.
Machine learning classification of mesial temporal sclerosis in epilepsy patients.
Epilepsy research
Sep 9, 2015
BACKGROUND AND PURPOSE: Novel approaches applying machine-learning methods to neuroimaging data seek to develop individualized measures that will aid in the diagnosis and treatment of brain-based disorders such as temporal lobe epilepsy (TLE). Using ...
Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Occipital Lobe
Brain
Diffusion Tensor Imaging
Retrospective Studies
Frontal Lobe
Hippocampus
Female
Temporal Lobe
Young Adult
Connectome
Globus Pallidus
Adult
Gyrus Cinguli
Nucleus Accumbens
Humans
Male
Epilepsy, Temporal Lobe
Machine Learning
Middle Aged
Case-Control Studies
Imaging, Three-Dimensional
Support Vector Machine
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.
Psychiatry research
Jul 5, 2015
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to ad...
Image Interpretation, Computer-Assisted
Nerve Net
Temporal Lobe
Echo-Planar Imaging
Guilt
Case-Control Studies
Diagnosis, Computer-Assisted
Magnetic Resonance Imaging
Reference Values
Female
Adult
Humans
Sensitivity and Specificity
Machine Learning
Male
Algorithms
Depressive Disorder, Major
Biomarkers
A Model of Emergent Category-specific Activation in the Posterior Fusiform Gyrus of Sighted and Congenitally Blind Populations.
Journal of cognitive neuroscience
Jun 4, 2015
Theories about the neural bases of semantic knowledge tend between two poles, one proposing that distinct brain regions are innately dedicated to different conceptual domains and the other suggesting that all concepts are encoded within a single netw...
Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI.
International journal of neural systems
Jan 19, 2015
Auditory hallucinations (AH) are a symptom that is most often associated with schizophrenia, but patients with other neuropsychiatric conditions, and even a small percentage of healthy individuals, may also experience AH. Elucidating the neural mecha...
Exploring the diagnostic potential of EEG theta power and interhemispheric correlation of temporal lobe activities in Alzheimer's Disease through random forest analysis.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Considering the prevalence of Alzheimer's Disease (AD) among the aging population and the limited means of treatment, early detection emerges as a crucial focus area whereas electroencephalography (EEG) provides a promising diagnostic too...
fNIRS experimental study on the impact of AI-synthesized familiar voices on brain neural responses.
Scientific reports
May 15, 2025
With the advancement of artificial intelligence (AI) speech synthesis technology, its application in personalized voice services and its potential role in emotional comfort have become research focal points. This study aims to explore the impact of A...
Perception and memory in the medial temporal lobe: Deep learning offers a new lens on an old debate.
Neuron
Sep 1, 2021
In this issue of Neuron, Bonnen et al. (2021) use artificial neural networks to resolve a long-standing controversy surrounding the neurocognitive dichotomy between memory and perception. They show that the perirhinal cortex supports performance on t...
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