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020 _a9783030269210
024 7 _a10.1007/978-3-030-26921-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRC480.5
_b2019 EB
100 1 _aWasserman, Theodore
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9674367
245 1 0 _aTherapy and the Neural Network Model
_cby Theodore Wasserman, Lori Drucker Wasserman.
250 _aFirst edition 2019
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a recurso en línea (XII, 200 páginas)
_b11 ilustraciones, 10 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aNeural Network Model: Applications and Implications
505 0 _aChapter 1: Introduction to Therapy and Neural Networks -- Chapter 2: Therapy in the Past and Present -- Chapter 3: Understanding Functional Neural Networks -- Chapter 4: Neural Plasticity and Its Implications for Therapy -- Chapter 5: Network Modeling and Therapeutic Techniques -- Chapter 6: Neural Networks and Emotion Regulation -- Chapter 7: Mindfulness-Based Approaches and Attention Regulation -- Chapter 8: The Role of the Reward Recognition Network in Therapy -- Chapter 9: Memory Reconsolidation in Various Therapeutic Approaches -- Chapter 10: Anxiety and Depression -- Chapter 11: Latent Variables in the Diagnosis of Anxiety -- Chapter 12: Mechanisms of Therapeutic Change -- Chapter 13: Future Directions for Mental Health Treatment.
520 3 _aThis innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them. This work begins with a short and accessible overview of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward recognition, automaticity, and memory reconsolidation, and how they apply to both general learning and new learning through the process in therapy. Next, the authors explore how the neural network model can be integrated across existing systems of therapy, including Cognitive Behavior therapy (CBT), Dialectical Behavior Therapy (DBT), third wave therapies and analytic therapies. Therapy and the Neural Network Model is an exciting resource for researchers and practitioners interested in understanding more about the applications of a neural network model for therapy and the how and why of building new mentally healthy cognitions, behaviors and emotions. Therapy and the Neural Network Model is also an essential theoretical foundation for both researchers and practitioners who wish to base their therapeutic practice on neuroscience and integrate their work with related fields such as behavioral medicine, health psychology, social work and public health.
988 _aSpringer_Psychology_2019
650 7 _2embne
_9139059
_aPsicoterapia
700 1 _aWasserman, Lori Drucker
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9674368
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030269203
776 0 8 _iPrinted edition:
_z9783030269227
776 0 8 _iPrinted edition:
_z9783030269234
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-26921-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2020
_dz
_eIG
_zSI