Autism spectrum disorder: focus on glutamatergic neurotransmission

M Montanari, G Martella, P Bonsi… - International Journal of …, 2022 - mdpi.com
Disturbances in the glutamatergic system have been increasingly documented in several
neuropsychiatric disorders, including autism spectrum disorder (ASD). Glutamate-centered …

Data analytics in steady-state visual evoked potential-based brain–computer interface: A review

Y Zhang, SQ Xie, H Wang, Z Zhang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …

[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review

MO Ribas, M Micai, A Caruso, F Fulceri, M Fazio… - Neuroscience & …, 2023 - Elsevier
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review

Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Z Chen, B Hu, X Liu, B Becker, SB Eickhoff, K Miao… - BMC medicine, 2023 - Springer
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

Sensory processing in autism across exteroceptive and interoceptive domains.

I Proff, GL Williams, L Quadt… - Psychology & …, 2022 - psycnet.apa.org
Objective: The current article discusses recent literature on perceptual processing in autism
and aims to provide a critical review of existing theories of autistic perception and …

Cross-subject spatial filter transfer method for SSVEP-EEG feature recognition

W Yan, Y Wu, C Du, G Xu - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Steady-state visual evoked potential (SSVEP) is an important control method of
the brain–computer interface (BCI) system. The development of an efficient SSVEP feature …

GABAergic inhibition gates perceptual awareness during binocular rivalry

J Mentch, A Spiegel, C Ricciardi… - Journal of …, 2019 - Soc Neuroscience
Binocular rivalry is a classic experimental tool to probe the neural machinery of perceptual
awareness. During rivalry, perception alternates between the two eyes, and the ebb and …

Frequency domain filtering method for SSVEP-EEG preprocessing

W Yan, B He, J Zhao, Y Wu, C Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Steady-state visual evoked potential (SSVEP) signal collected from the scalp typically
contains other types of electric signals, and it is important to remove these noise …

Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

S Berto, AH Treacher, E Caglayan, D Luo… - Nature …, 2022 - nature.com
Gene expression covaries with brain activity as measured by resting state functional
magnetic resonance imaging (MRI). However, it is unclear how genomic differences driven …