Systems biology in psychiatric research: from high-throughput data to mathematical modeling
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Weinheim
Wiley-VCH
2010
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| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XX, 358 S. Ill., graph. Darst. |
| ISBN: | 9783527325030 |
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Datensatz im Suchindex
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VII CONTENTS FOREWORD V PREFACE XV LIST OF CONTRIBUTORS XVII PART ONE
INTRODUCTION 3 1 PHILOSOPHICAL ASPECTS OF NEUROPSYCHIATRY 3 FELIX
TRETTER 1.1 DEVELOPMENT OF RESEARCH PARADIGMS AND STRATEGIES IN
PSYCHIATRY 4 1.2 THE MIND-BODY PROBLEM - PHILOSOPHY OF MIND 5 1.2.1
MONISM AND DUALISM 8 1.2.2 CORRELATION 9 1.2.3 IDENTITY THEORY AND ITS
PROBLEMS 9 1.2.4 CAUSATION 11 1.2.5 SUPERVENIENCE 11 1.3 THE CONDITIONS
OF SCIENTIFIC KNOWLEDGE - PHILOSOPHY OF SCIENCE 11 1.4 EXPERIMENTAL
RESEARCH - FROM OBSERVATION TO THEORY 12 1.4.1 HYPOTHESES AND THEORY 14
1.4.2 THE "EPISTEMIC CYCLE" 34 1.4.3 TOP-DOWN ANALYSIS - REDUCTIONISM?
15 1.4.4 BOTTOM-UP EXPLANATIONS - HOLISM? 16 1.5 THEORETICAL
(NEURO)PSYCHIATRY 37 1.6 SYSTEMS THINKING 19 1.7 PERSPECTIVES - TOWARDS
A "NEUROPHILOSOPHY" 39 REFERENCES 22 2 NEUROPSYCHIATRY - SUBJECT,
CONCEPTS, METHODS, AND COMPUTATIONAL MODELS 27 FELIX TRETTER AND PETER
J. CEBICKE-HAERTER 2.1 INTRODUCTION 27 2.2 PSYCHIATRIC FUNDAMENTALS OF
NEUROPSYCHIATRY 27 BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/997573481 DIGITALISIERT DURCH VILI CONTENTS 2.2.2
PSYCHOPATHOLOGY 28 2.2.2.1 QUANTITATIVE PSYCHOPATHOLOGY 28 2.2.2.2
THEORETICAL PSYCHOPATHOLOGY 29 2.2.3 PSYCHIATRIC DIAGNOSES 30 2.2.3.1
DIAGNOSTIC CRITERIA 30 2.2.4 THEORETICAL PSYCHIATRY 30 2.2.4.1
"COMPUTATIONAL NEUROPSYCHIATRY" 31 2.2A.2 "SYSTEMS NEUROPSYCHIATRY" 32
2.3 NEUROBIOLOGICAL FUNDAMENTALS OF NEUROPSYCHIATRY 33 2.3.1 BASIC
FINDINGS OF (NEUROBIOLOGICAL PSYCHIATRY 33 2.3.1.1 NEUROPSYCHOPATHOLOGY
33 2.3.1.2 NEUROBIOLOGICAL METHODS 34 2.3.1.3 EXPERIMENTAL PARADIGMS 35
2.3.1.4 STRUCTURE AND FUNCTION OF THE BRAIN 38 2.3.1.5 GLOBAL CIRCUITS
AND THEIR CONNECTIVITIES 40 2.3.1.6 LOCAL NETWORKS OF NEURONS 43 2.3.1.7
PREFRONTAL NETWORK IN SCHIZOPHRENIA 46 2.3.2 NEURON 50 2.3.2.1
ELECTRICAL SIGNALING OF THE NEURON 52 2.3.3 SYNAPSE 54 2.3.3.1 RECEPTORS
56 2.3. CONTENTS IX 3.2.2 WORKING WITH DATA 84 3.2.2.1 DIFFERENT
CLUSTERING APPROACHES 85 3.2.2.2 PRINCIPAL COMPONENT ANALYSIS 85 3.3 ODE
MODELING 86 3.3.1 DIFFERENTIAL EQUATIONS 86 3.3.2 STOICHIOMETRIC MATRIX
86 3.3.3 REACTION KINETICS 87 3.3.4 STEADY STATES 88 3.3.5 METABOLIC
CONTROL ANALYSIS 88 3.3.6 SIMULATING MODELS 89 3.3.7 PARAMETER
ESTIMATION 90 3.4 RESULTS GAINED FROM SYSTEMS BIOLOGY 91 3.4.1
JUST-IN-TIME TRANSCRIPTION 91 3.5 STANDARD FORMATS, DATABASES, AND TOOLS
93 3.5.1 XML-BASED FORMATS FOR ODE MODELS 91 3.5.2 DATABASES 92 3.5.3
TOOLS FOR THE CONSTRUCTION, SIMULATION, AND ANALYSIS OF ODE MODELS 93
3.6 FUTURE DIRECTIONS IN SYSTEMS BIOLOGY 93 REFERENCES 94 4 MIND OVER
MOLECULE: SYSTEMS BIOLOGY FOR NEUROSCIENCE AND PSYCHIATRY 97 DENIS NOBLE
4.1 INTRODUCTION: MIND AND MOLECULE MEET 97 X CONTENTS 5.4.1 AN EXAMPLE:
LIBET'S EXPERIMENT 120 5.4.2 THE FIRST PROBLEM: THE ESTIMATION OF W 323
5.4.3 THE SECOND PROBLEM: THE EXPLANATORY POWER IN THE LIGHT OF A
QUESTIONABLE TIME RESOLUTION 121 5.5 FUTURE NEW DIAGNOSTIC SCHEDULES AND
RESEARCH 322 5.6 ON THE FUTURE ROLE OF PSYCHOPATHOLOGY 323 REFERENCES
325 6 SYSTEM PROPERTIES OF POPULATIONS OF NEURONS IN CEREBRAL CORTEX 329
WALTERJ. FREEMAN 6.1 INTRODUCTION 329 6.2 SPATIAL STRUCTURE OF BRAIN
WAVES 333 6.3 TEMPORAL STRUCTURE OF THE EEG/ECOG 133 6.4 BEHAVIORAL
CORRELATES IN SPATIO-TEMPORAL PATTERNS OF THE EEG 336 6.5 SYNTHESIS OF
TWO LEVELS OF FUNCTION IN THE CORTICAL SYSTEM 140 6.6 CONCLUSIONS AND
APPLICATIONS 141 REFERENCES 143 7 DOPAMINE AND THE ELECTROPHYSIOLOGY OF
PREFRONTAL CORTICAL NETWORKS 145 PATRICIO O'DONNELL 7.1 INTRODUCTION 145
7.2 ELECTROPHYSIOLOGICAL ACTIONS OF DA IN PREFRONTAL CORTICAL CIRCUITS
346 7.3 CHANGES IN DA MODULATION OF PYRAMIDAL NEURONS DURING ADOLESCENCE
148 7.4 CHANGES IN DA MODULATION OF GABA INTERNEURONS DURING ADOLESCENCE
349 7.5 ABNORMAL PERIADOLESCENT MATURATION OF DA ACTIONS IN
DEVELOPMENTAL ANIMA CONTENTS XI 8.6 NICOTINE AND STRESS RESPONSE 173 8.7
VARIATION IN NACHRR GENES AND SMOKING 174 8.8 FUTURE PERSPECTIVES 178
8.9 ROLE OF SYSTEMS NEUROSCIENCE 179 REFERENCES 181 9 PROGRESS IN
PSYCHOPHARMACOTHERAPY THOUGH MOLECULAR IMAGING 189 INGO VERNALEKEN,
GERHARD GRUENDER, AND PAUL CUMMING 9.1 OPTIMIZING PSYCHOPHARMACOTHERAPY
THROUGH MOLECULAR IMAGING 189 9.1.1 TECHNIQUES FOR MOLECULAR IMAGING IN
LIVING BRAIN 189 9.1.1.1 METHODOLOGIE BACKGROUND 389 9.2
CHARACTERIZATION OF NEUROTRANSMITTER SYSTEMS WITH MOLECULAR IMAGING 394
9.3 FOCUS SCHIZOPHRENIA 396 9.4 ACTION OF PSYCHOPHARMACEUTICALS IN
SCHIZOPHRENIA 399 REFERENCES 203 10 THE MARRIAGE OF PHENOMICS AND
CENETICAL CENOMICS: A SYSTEMS APPROACH TO COMPLEX TRAIT ANALYSIS 207
LAURA M. SABA, PAULA L HOFFMAN, LAWRENCE E. HUNTER, AND BORIS TABAKOFF
10.1 INTRODUCTION AND BRIEF HISTORY OF GENETICAL GENOMICS 207 10.1.1
CHARACTERISTICS OF EQTLS 209 10.1.2 RECENT DEVELOPMENTS 210 10.1.3
EXTENSION OF GENETICAL GENOMICS TO INCLUDE A SYSTEMS APPROAC XII
CONTENTS 11.6 FROM DIAGRAMS DIRECTLY TO QUANTITATIVE CANONICAL MODELS:
THE CONCEPT MAP METHOD 239 11.7 SUMMARY AND OUTLOOK 241 REFERENCES 242
12 NETWORK DYNAMICS AS AN INTERFACE BETWEEN MODELING AND EXPERIMENT IN
SYSTEMS BIOLOGY 243 JAMES SMITH AND MARC-THORSTEN HUETT 12.1 INTRODUCTION
243 12.2 ASPECTS OF GRAPH THEORY 245 12.3 A NETWORK PERSPECTIVE ON
SYSTEMS BIOLOGY 251 12.3.1 LARGE-SCALE SYSTEMS 253 12.3.2 TRNS 253
12.3.3 METABOLIC NETWORKS 255 12.4 NETWORK DYNAMICS 260 12.4.1 GENERAL
ASPECTS 260 12.4.2 BINARY DYNAMICS AND CELLULAR AUTOMATA ON GRAPHS 261
12.5 APPLICABILITY IN PSYCHIATRY 267 REFERENCES 270 13 SOME USEFUL
MATHEMATICAL TOOLS TO TRANSFORM MICROARRAY DATA INTO INTERACTIVE
MOLECULAR NETWORKS 277 FRANZISKA MATTHAEUS, V. ANNE SMITH, AND PETER J.
'GEBICKE-HAERIER 13.1 INTRODUCTION 277 13.2 MICROARRAY DATA 278 13.3
DIMENSIONALITY REDUCTION 279 CONTENTS XIII 14.5 PHYSIOLOGICAL ROLE OF
DARPP-32 305 14.6 DARPP-32 IN PSYCHIATRIC DISEASE 306 14.7 MODELING
SIGNALING PATHWAYS WITH A DETERMINISTIC MODEL 308 14.8 BIOLOGICAL
CONCLUSIONS FROM THE DARPP-32 MODEL 309 14.9 STOCHASTIC MODELS 310 14.10
PKA ACTIVATION: A CASE STUDY 333 14.10.1 CONCEPTUAL MODEL 311 14.10.2
EMPIRICAL ESTIMATES OF RATE CONSTANTS 312 14.10.3 MODEL VALIDATION
AGAINST STEADY-STATE DATA 333 14.10.4 MODEL VALIDATION AGAINST DYNAMIC
DATA 334 14.10.5 DETERMINISTIC VERSUS STOCHASTIC ALGORITHMS 334 14.11
CONCLUSIONS 316 REFERENCES 316 15 LOCAL CORTICAL DYNAMICS RELATED TO
MENTAL ILLNESSES 321 MARCO LOH, EDMUND T. ROLLS, AND GUSTAVO DECO 15.1
INTRODUCTION 323 15.2 A RECURRENT NEURAL NETWORK 321 15.3 CONCEPT OF AN
ATTRACTOR NETWORK 324 15.4 NOISE AND STABILITY 325 15.5 MENTAL ILLNESSES
328 15.5.1 SCHIZOPHRENIA 328 15.5.2 OCD 332 15.6 OUTLOOK 334 REFERENCE |
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| title | Systems biology in psychiatric research from high-throughput data to mathematical modeling |
| title_auth | Systems biology in psychiatric research from high-throughput data to mathematical modeling |
| title_exact_search | Systems biology in psychiatric research from high-throughput data to mathematical modeling |
| title_full | Systems biology in psychiatric research from high-throughput data to mathematical modeling ed. by Felix Tretter ... |
| title_fullStr | Systems biology in psychiatric research from high-throughput data to mathematical modeling ed. by Felix Tretter ... |
| title_full_unstemmed | Systems biology in psychiatric research from high-throughput data to mathematical modeling ed. by Felix Tretter ... |
| title_short | Systems biology in psychiatric research |
| title_sort | systems biology in psychiatric research from high throughput data to mathematical modeling |
| title_sub | from high-throughput data to mathematical modeling |
| topic | Neurobiologie (DE-588)4041871-6 gnd Neuropsychiatrie (DE-588)4171595-0 gnd |
| topic_facet | Neurobiologie Neuropsychiatrie |
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