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The Routledge International Handbook of neurocognitive rehabilitation : practices, innovations, and future directions / edited by K. Jayasankara Reddy.
- Format:
- Book
- Series:
- Routledge International Handbooks Series
- Language:
- English
- Subjects (All):
- Neurophysiology--Rehabilitation.
- Neurophysiology.
- Artificial intelligence--Neurobiology and psychiatry.
- Artificial intelligence.
- Neurophysiology--Virtual reality and augmented reality (Arnaldi).
- Physical Description:
- 1 online resource (377 pages)
- Edition:
- First published 2026.
- Place of Publication:
- New York : Taylor & Francis Group, 2026.
- Summary:
- The Handbook of Neurocognitive Rehabilitation is a comprehensive resource highlighting the rapid advancements in neurocognitive science and their application in rehabilitation practices.
- Contents:
- Cover
- Half Title
- Series Information
- Title Page
- Copyright Page
- Table of Contents
- List of Contributors
- Part I Foundations of Neurocognitive Rehabilitation
- 1 Introduction to Neurocognitive Rehabilitation
- 1.1 Introduction
- 1.1.1 Definition and Purpose of Neurocognitive Rehabilitation
- 1.1.2 Who It Serves: Populations and Conditions
- 1.1.3 Relevance and Growth in the Field
- 1.2 Historical Development
- 1.2.1 Early Clinical Observations and Case Reports (Phineas Gage, Luria)
- 1.2.2 Evolution From Anecdotal Evidence to Empirical Research
- 1.2.3 Influence of Wars (WWI, WWII) On Brain Injury Treatment
- 1.2.4 Emergence of Interdisciplinary Rehabilitation Teams in the 20th Century
- 1.3 Key Concepts and Terminology
- 1.3.1 Cognitive Domains Commonly Addressed: Attention, Memory, and Executive Functions
- 1.3.2 Distinction Between Restorative and Compensatory Approaches
- 1.3.3 Concepts of Neuroplasticity and Functional Reorganization
- 1.4 Core Principles of Neurocognitive Rehabilitation
- 1.4.1 Individualization and Person-Centered Planning
- 1.4.2 Goal-Directed and Functionally Relevant Interventions
- 1.4.3 Evidence-Based Practice and Outcome Measurement
- 1.4.4 Multidisciplinary and Integrative Approach
- 1.4.5 Contextual and Ecological Validity
- 1.5 Theoretical Framework and Models
- 1.5.1 Cognitive Neuropsychological Model
- 1.5.2 Information Processing Model
- 1.5.3 Biopsychosocial Model
- 1.5.4 Holistic Neuropsychological Rehabilitation Approach
- 1.6 Current Trends and Future Directions
- 1.6.1 Use of Technology
- 1.6.2 Information Processing Model
- 1.6.3 Biopsychosocial Model
- 1.6.4 Holistic Neuropsychological Rehabilitation Approach
- 1.7 Conclusion
- References
- 2 Geriatric Rehabilitation: Aging-Related Cognitive Impairments
- 2.1 Introduction.
- 2.2 Neurocognitive Changes in Older Adults
- 2.2.1 Normal Aging Versus Pathological Aging: Key Distinctions
- 2.2.2 Brain Structural and Functional Changes Linked to Aging
- 2.2.3 Common Clinical Manifestations: Mild Cognitive Impairment and Dementia
- 2.3 Evaluation of Cognitive Impairments
- 2.3.1 Screening and Diagnostic Tools
- 2.3.2 Comprehensive Neuropsychological Evaluation
- 2.3.3 Challenges in Assessment
- 2.4 Principles of Geriatric Neurocognitive Rehabilitation
- 2.5 Evidence-Based Intervention Strategies
- 2.5.1 Pharmacologic Treatments
- 2.5.2 Non-Pharmacological Interventions
- 2.6 Technological and Innovative Approaches
- 2.7 Family, Caregiver, Cultural, Ethical, and Policy Considerations
- 2.8 Outcome Measures and Program Evaluation
- 2.9 Future Directions in Geriatric Neurocognitive Rehabilitation
- 2.10 Conclusion
- 3 Geriatric Rehabilitation: Evidence-Based Strategies for Aging-Related Cognitive Impairments
- Introduction
- Scope of Geriatric Rehabilitation
- Overview of Aging-Related Cognitive Impairments (E.g., MCI, Alzheimer's, Vascular Dementia)
- Epidemiological Trends and Public Health Significance
- Pathophysiology and Risk Factors of Cognitive Decline in Older Adults
- Neurobiological Changes With Aging
- Common Risk Factors (Genetic, Vascular, Lifestyle, Psychological)
- Interplay Between Cognitive, Sensory, and Physical Decline
- Diagnostic and Assessment Strategies
- Clinical Assessment Tools
- Mini-Mental State Examination (MMSE)
- Montreal Cognitive Assessment (MoCA)
- Confusion Assessment Method (CAM)
- Functional and Neuropsychological Evaluations
- Functional Assessments
- Neuropsychological Testing
- Role of Interdisciplinary Teams in Assessment
- Importance of Early Detection and Baseline Tracking
- Principles of Geriatric Cognitive Rehabilitation.
- Person-Centered and Goal-Directed Approach
- Functional Vs. Restorative Rehabilitation
- Multimodal Interventions (Cognitive, Physical, Social)
- Individualization Based On Stage and Type of Impairment
- Evidence-Based Interventions
- Cognitive Training and Stimulation
- Case Study: Mrs. Gupta and Memory Training
- Memory Strategies and Executive Function Exercises
- Computer-Based Cognitive Programs
- Efficacy and Limitations
- Physical Exercise
- Types of Effective Exercise
- Impact On Neuroplasticity and Cognitive Outcomes
- Mechanisms Behind Exercise-Induced Neuroplasticity
- Guidelines From Recent Meta-Analyses
- Case Study: Mr. Hernandez and Aerobic Exercise
- Research Insight
- Occupational and Functional Therapy
- Case Study: Mrs. Klein and Kitchen Safety
- Psychosocial and Behavioral Interventions
- Therapeutic Approaches
- Role of Caregivers
- Case Study: Mr. Ali and Reminiscence Therapy
- Pharmacological Adjuncts
- Overview of Medications With Cognitive Benefits Or Risks
- Medications That May Support Cognitive Function
- Medications With Potential Cognitive Benefits
- Medications That Impair Cognition
- Current Evidence On Nootropics and Cholinesterase Inhibitors
- Cholinesterase Inhibitors
- Memantine
- Nootropics and Supplements
- Polypharmacy Considerations
- Case Example: Mrs. L's Medication Review
- Clinical Guidelines and Best Practices
- Regular Medication Reviews: Especially After Hospitalizations Or Changes in Cognitive Status
- Summary
- Multidisciplinary Team Approach
- Roles of Geriatricians, Neurologists, Rehab Specialists, Therapists
- Case Management and Care Coordination
- Integrating Caregivers and Family Into the Team
- Tele-Rehabilitation and Technology in Cognitive Rehab
- Remote Monitoring and Digital Cognitive Therapies.
- Wearables, Apps, and Virtual Reality
- Access in Rural Or Underserved Populations
- Challenges in Access
- Strategies to Enhance Access
- Challenges and Barriers
- Health Disparities and Cultural Considerations
- Adherence and Motivation in Older Adults
- Ethical Considerations (Consent and Autonomy)
- Future Directions and Research Gaps
- Novel Biomarkers and Personalized Rehabilitation
- Role of AI and Machine Learning in Cognitive Assessment
- Longitudinal Studies On Intervention Outcomes
- Conclusion
- The Importance of Holistic, Patient-Tailored Approaches
- Final Thoughts On Promoting Cognitive Resilience in Aging
- 4 Applying Solution-Focused Brief Therapy in Cognitive Rehabilitation: Insights From Positive Neuropsychology
- 4.1 Introduction
- 4.2 Assumptions and Tenets of Solution-Focused Brief Therapy
- 4.3 Positive Neuropsychology and SFBT
- 4.4 Shifting the Paradigm: From Deficit Remediation to the Strength-Based Empowerment
- 4.5 Positive Neuropsychology as Guiding Framework
- 4.6 Application of the CAPE Model With SFBT Principles
- 4.7 Reimagining the Therapeutic Relationship
- 4.8 Neuropsychological Insights and Mechanisms
- 4.9 Challenges, Benefits, and Future Directions
- 4.10 Conclusion
- 5 Role of P300 Event-Related Potential (ERP) in Neuropsychiatric Conditions
- Electroencephalography
- Event-Related Potentials (ERPs)
- The P300 Wave
- P300 in Neuropsychiatric Disorders
- Schizophrenia and Psychotic Disorders
- Obsessive-Compulsive Disorder
- Depressive Disorders
- Neurodegenerative Disorders
- Epilepsy
- Applications of P300 in Neurorehabilitation
- Diagnostic Utility
- Assessment and Monitoring of Disease Progression
- P300 as a Target in Cognitive Rehabilitation
- Limitations and Future Directions
- Future Directions
- References.
- Part II Technology-Driven Innovations
- 6 Artificial Intelligence: A Replacement Or a Complement to Psychotherapy in Neurocognitive Rehabilitation?
- Neurocognitive Rehabilitation, Psychotherapy, and AI
- Traditional and Current Landscape of Psychotherapy and Neurocognitive Rehabilitation
- Current Role of AI in Mental Health Interventions
- AI as a Complement Vs. Replacement: Evidence and Arguments
- Clinical Applications and Case Studies
- Accessibility and Efficiency: Real-Time Data and Personalized Interventions
- Ethical and Human-Centric Considerations
- Importance of Empathy, Validation, and Safety Provided By Human Therapists
- Analysis of the Complexities of Human Emotions in Therapy
- Discussion of the Therapeutic Nuances That AI Struggles to Navigate
- Data Privacy Concerns Related to AI in Psychotherapy
- Potential Algorithmic Bias and Its Implications On Mental Health Treatment
- Future Directions and Global Perspectives
- Concept of a Hybrid Model: Combining AI Tools With Traditional Therapy
- 7 Artificial Intelligence in Neurocognitive Rehabilitation: AI Applications in Assessment, Monitoring, and Therapy
- 7.1 Introduction
- 7.2 AI Applications in Assessment
- 7.2.1 Machine Learning in Early Detection and Diagnosis
- 7.2.2 Systematic Evidence Supporting ML Applications
- 7.2.3 Leveraging Speech and Facial Analysis for Assessment
- 7.2.4 Virtual Reality in Cognitive Assessment and Stimulation
- 7.2.5 AI in Neuroimaging for Assessment of Cognitive Disorders
- 7.2.6 Challenges in AI-Based Neurocognitive Assessment
- 7.3 AI Applications in Monitoring
- 7.3.1 The AI Process in Neurocognitive Monitoring
- 7.3.2 Data Preprocessing
- 7.3.3 Model Training
- 7.3.4 Inference and Feedback Loops
- 7.3.5 AI Technologies Enabling Continuous Monitoring.
- 7.3.6 AI-Enhanced Neuroimaging and Digital Biomarkers.
- Notes:
- Includes bibliographical references and index.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-04-065293-X
- 1-04-056676-6
- 1-003-64666-2
- 9781003646662
- OCLC:
- 1569122745
- Publisher Number:
- CIPO000327275
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