Skip to main content
Elsevier

Neurocognitive Mechanisms of Attention

Computational Models, Physiology, and Disease States

  • 1st Edition - March 16, 2021
  • Latest edition
  • Authors: Golnaz Baghdadi, Farzad Towhidkhah, Mojdeh Rajabi
  • Language: English

Neurocognitive Mechanisms of Attention: Computational Models, Physiology, and Disease States describes the brain mechanisms underlying the attention control system, how those… Read more

Description

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.

Key features

  • Examines brain mechanisms underlying different types of attention
  • Explores how nutrition, exercise, genetics and more impact attention
  • Identifies impact on attention of neurocognitive diseases and disorders
  • Includes therapeutic advances to improve attention
  • Provides computational models via companion website

Readership

Cognitive neuroscientists, computational neuroscientists, and cognitive psychologists. Scientists in biomedical engineering and neural engineering

Table of contents

Section 1 Attention and its functions1. Different types of attention2. Anatomy and physiology of attention3. Attention in memory4. Attention in movement

Section 2 Attention in neurocognitive dysfunction5. Factors that affect function of the attention control system6. Neurocognitive diseases and disorders7. Assessment methods8. Therapeutic methods

Section 3 Models of the attention system9. Conceptual models10. Computational models11. An oscillatory-based model

Product details

  • Edition: 1
  • Latest edition
  • Published: March 19, 2021
  • Language: English

About the authors

GB

Golnaz Baghdadi

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.
Affiliations and expertise
Researcher, Amirkabir University of Technology, Tehran, Iran

FT

Farzad Towhidkhah

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.
Affiliations and expertise
Faculty member, Department of Biomedical Engineering, Amirkabir University of Technology

MR

Mojdeh Rajabi

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 industry working on Automotive, Iron and Steel and Nanotechnology projects. She also carries 10 years of working as a senior engineer for consulting firms.
Affiliations and expertise
PhD student, Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

View book on ScienceDirect

Read Neurocognitive Mechanisms of Attention on ScienceDirect