Academic Press Neurocognitive Mechanisms of Attention: Computational Models, Physiology, and Disease States

Neurocognitive Mechanisms of Attention: Computational Models, Physiology, and Disease States describes the brain mechanisms underlying the attention control system, how those mechanisms are examined, how they operate in different disease states, and methods for improving them. Conceptual models of attention further explore their functional operation. Coverage includes the different types of attention, processing paths, brain anatomy, and attention’s role in memory and movement. Factors affecting attention are explored including nutrition, exercise, and genetics. Neurocognitive disorders impacting attention are discussed including autism, ADHD, OCD, depression, anxiety, schizophrenia, Alzheimer’s and Parkinson’s Disease. Assessment methods and treatments are uniquely set against the backdrop of current conceptual, computational, and oscillatory-based models to encourage researchers to pursue continued development of new diagnostic and therapeutic tools. Review A new reference on modelling the human attention control from neurocognitive and neurocomputational perspectives From the Back Cover Neurocognitive Mechanisms of Attention: Computational Models, Physiology, and Disease States describes the brain mechanisms underlying the attention control system, how those mechanisms are examined, how they operate in different disease states, and methods for improving them. Conceptual models of attention further explore their functional operation. Coverage includes the different types of attention, processing paths, brain anatomy, and attentions role in memory and movement. Factors affecting attention are explored including nutrition, exercise, and genetics. Neurocognitive disorders impacting attention are discussed including autism, ADHD, OCD, depression, anxiety, schizophrenia, Alzheimers and Parkinsons Disease. Assessment methods and treatments are uniquely set against the backdrop of current conceptual, computational, and oscillatory-based models to encourage researchers to pursue continued development of new diagnostic and therapeutic tools. About the Author Dr. Baghdadi is a researcher at Amirkabir University of Technology, Tehran, Iran. Currently appointed within the biomedical engineering department, her main areas of research interest are computational modeling of neurocognitive systems, EEG signal processing, eye movement-based diagnosis and rehabilitation methods, and transcranial electrical current stimulation devices. Her PhD work focused on computational modelling of the human attention control system and its disorder in children with ADD. Professor Towhidkhah has been a faculty member of the Department of Biomedical Engineering at Amirkabir University of Technology since 1996. He earned his PhD degree in biomedical engineering from the University of Saskatchewan, Canada, where he worked on model predictive impedance control of joint movement. His research areas of interest are in biological system control, motor control, intelligent control, biological system modeling, system identification, neurocognitive systems, transcranial electrical stimulation, and bio-instruments. He is the corresponding author of many papers in these fields and three books. He is currently leading different projects in the field of the computational modeling of the attentional control system, motor control system, transcranial direct-current stimulation effects, and sensory integration mechanism in his Cybernetics and Modelling of Biological Systems laboratory. Professor Towhidkhah served as the Dean of the Faculty of Biomedical Engineering at the Amirkabir University of Technology for 11 years. Mojdeh RAJABI is a PhD student in Biomedical Engineering in Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. She is graduated from the University of Saskatchewan, Saskatoon, CANADA with a MSc in Mechanical Engineering. She has more than 25 years of experience in industr