Keywords:
Brain-Diseases-Diagnosis.
;
Electronic books.
Description / Table of Contents:
Originally published in 1977, this volume attempts to show how the existing state of knowledge and technique in neuroscience can be effectively applied to a variety of practical clinical problems that at the time were dealt with less than adequately.
Type of Medium:
Online Resource
Pages:
1 online resource (316 pages)
Edition:
1st ed.
ISBN:
9781000397833
Series Statement:
Functional Neuroscience Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6630815
DDC:
612.82
Language:
English
Note:
Cover -- Half Title -- Title Page -- Copyright Page -- Original Title Page -- Original Copyright Page -- Table of Contents -- Foreword -- Preface -- 1. Introduction -- I. A Definition of "Neurometrics -- II. Functional Insights Available from Scalp Recordings -- III. Limitations of Qualitative Analysis of Brain Electrical Activity -- IV. The Neurometric Alternative -- 2. Diagnostic Electrophysiology -- I. EEG Assessment of Neuropathology -- A. EEG Recording Methods -- 1. Electrode Placement -- 2. Recording Method -- 3. Recording Derivations or "Montages -- B. Principles of EEG Analysis -- C. The Accuracy of EEG Detection of Neuropathology -- 1. Incidence of Major Neurological Disease -- a. Head Injury -- b. Paroxysmal Disorders -- i. Migraine Headaches -- ii. Epilepsy -- c. Developmental and Degenerative Defects -- d. Cerebrovascular Disease -- e. Intracranial Tumors -- f. Infectious Diseases -- 2. Incidence of EEG Abnormalities in Major Neurological Diseases -- II. Detection of Neuropathology Using Symmetry of Average Evoked Responses (AER) -- III. Localization of Lesion Site by AER Methods -- IV. Assessment of Changes in Brain State -- V. AER Assessment of Sensory Acuity -- A. Evoked Response Audiometry -- B. AER Assessment of Visual Acuity -- C. AER Assessment of Color Vision -- VI. AER Assessment of Other Aspects of Brain Function -- A. Indices of Development and Maturation -- B. Perceptual and Cognitive Functions -- VII. Summary -- 3. Principles of Neurometric Analysis of Brain Electrical Activity -- I. Analysis of the Spontaneous EEG -- A. Frequency Analysis -- 1. Compressed Spectral Array -- 2. "Neurometric" Displays -- a. The "Canonogram -- b. The "Age Dependent Quotient -- B. Symmetry Analysis -- II. Average Evoked Response and Variance Computations: General Considerations -- A. The Average Evoked Response.
,
B. Variance of the Average Evoked Response -- C. t Test for the Significance of Differences between AERs -- III. Objective Comparisons Between AERs -- A. Symmetry of the AER -- B. Assessment of Effects of Altered Conditions -- IV. Pattern Recognition Methods -- A. Template Methods -- 1. Amplitude Sorting -- 2. Cross-Correlation Methods -- 3. Cross-Spectral Analysis -- 4. Adaptive Filtering -- B. Cluster Analysis -- C. Discriminant Analysis -- D. Multidimensional Scaling -- 1. Feasibility -- 2. Creating Non-Existent Structure -- V. Multivariate Factor Analysis -- A. Limitations -- B. Factor Analysis Methods -- C. Classification of Drugs -- D. Factor Analysis of AER in Humans -- E. "Normal Spaces" and Screening for Pathology -- F. Drug Subspaces -- G. Pathological Subspaces -- VI. Conclusions -- 4. Automatic Acquisition and Analysis of Electrophysiological Indices of Brain Functions -- I. An Automatic Digital Electrophysiological Data Acquisition and Analysis System (DEDAAS) -- 1. Amplifiers -- 2. 24-Channel Amplifying System -- 3. Display System -- 4. Impedance Testing -- 5. Variable Gain Analog-to-Digital Conversion -- 6. Automatic Artifact Control -- 7. Station Multiplexing -- 8. Digital Recording, Encoded Protocols and Automatic Analysis -- 9. Computation of all Bipolar Montages -- 10. Computer-Controlled Stimulator -- 11. Computer System -- 12. Plotter -- 13. Block Diagram of DEDAAS System -- 14. Economic Advantages of DEDAAS -- II. A Quantitative Electrophysiological Test Battery (NB) -- A. EEG Measures -- B. Evoked Potential Measures -- III. Quantitative Neurometric Indices Extracted from NB Challenges -- A. Neurometric Indices Extracted from EEG Measures -- B. Neurometric Indices Extracted from EP Measures -- IV. Concluding Comments -- 5. Neurometric Assessment of Brain Dysfunction in Patients with Neuropathology.
,
I. Neurometric Indices Extracted from Spontaneous EEG -- A. Indices Derived from Frequency Analysis -- 1. Abnormality Index -- 2. Age-Dependent Quotients -- B. Indices Derived from Symmetry Analysis -- 1. Discriminant Functions for Identification of Neuropathology Using Measures of EEG Symmetry -- 2. Numerical Taxonomy of Neuropathology: Neurometric Discrimination between Types of Neurological Diseases -- II. Neurometric Indices Extracted from AER -- A. Indices Derived from AER Symmetry Analysis -- 1. Discriminant Function Separating Normal Subjects from Neurological Patients on the Basis of AER Symmetry -- 2. Comparison of Effectiveness of AER Symmetry, EEG Symmetry, and Conventional EEG -- B. Neurometric Indices Derived by Varimax Factor Analysis of AER Waveshapes -- 1. Determination of the "Normal AER Space -- 2. Regression Factor Analysis of AERs from Patients with Tumors, Strokes, or Epilepsy -- 3. Multidimensional Scaling Applied to Discrimination between AERs from Normal Subjects and Patients with Tumors -- III. Conclusion -- 6. Neurometric Assessment of Sensory, Perceptual, and Cognitive Processes -- I. Introduction -- II. AER Assessment of Sensory Acuity -- III. AER Assessment of Perceptual Capability -- IV. AER Assessment of Shape Perception -- V. AER Assessment of Cognitive Processes -- A. Control of Afferent Input -- B. P-300 or the Late Positive Component of the Human AER -- C. Contingent Negative Variation -- D. Differential Anatomic Distribution of Exogenous and Endogenous Processes in Man -- 7. Assessment of Brain Dysfunction in Elderly Patients with Cognitive Impairment -- I. Cognitive Deterioration in the Elderly: The Organic Brain Syndrome -- II. Electrophysiological Studies of Changes with Aging, with Special Relevance to Organic Brain Syndrome -- A. EEC Studies -- 1. General Changes with Aging.
,
2. Studies of Patients with Organic Brain Syndrome -- B. AER Studies -- 1. General Changes with Aging -- 2. Studies of Patients with Organic Brain Syndrome -- III. Neurometric Features that Discriminate Between Normal Elderly Subjects and Patients with Cognitive Impairment (OBS) -- A. Patient Selection -- 1. Normal Controls -- 2. Cognitively Impaired Group (OBS) -- B. Psychometric Evaluation -- C. Neurometric Evaluation -- 1. Recording Procedures -- 2. Test Conditions -- 3. Data Analysis -- a. Data Conversion and Editing -- b. Neurometric Indices -- D. Neurometric Findings -- 1. Frequency Analysis of Resting EEG -- 2. Bilateral EEG Synchrony -- 3. Comparison of Overall Interhemispheric Covariance of Resting EEG -- 4. Symmetry of AERs from Bilaterally Symmetric Derivations -- 5. Comparison of Overall Interhemispheric Covariance of AERs -- 6. Discriminant Functions on Individual Conditions -- 7. Multivariate Analysis -- a. Multiple Discriminant Function -- b. "Leave-One-Out" Replication of Discriminant Function -- 8. Cluster Analysis -- a. Method -- 9. Numerical Taxonomy of the Elderly -- IV. Conclusions -- 8. Neurometric Assessment of Brain Dysfunction in Children with Learning Disabilities -- I. Minimal Brain Damage -- A. The MBD Syndrome -- 1. "Learning Disability" and "Learning Disorder -- 2. Heterogeneity of Etiology -- 3. Estimates of Prevalence -- B. Relevant Electrophysiological Measures -- 1. Neonatal Status -- a. EEG Measures -- b. AER Measures -- 2. Indices of Maturation -- a. EEG Measures -- b. Age-dependent EEG Quotient and Maturational Lag -- c. AER Measures -- C. Electrophysiological Findings in Pharmacotherapy of MBD -- II. Neurometric Assessment of 50 Consecutive Children with Learning Difficulties referred to the Neurophysiology Clinic -- A. Deviation from EEG and AER Norms -- B. Age-Dependent Delta Quotient -- C. Abnormality Index.
,
D. Conclusions -- III. Comparison Between Previously Categorized Groups of "Normal" and "Learning Disabled" Children Using the Neurometric Test Battery (NB) -- A. Subjects, Behavioral Methods, and Criteria for Disability -- 1. Description of Subjects -- 2. Psychometric Battery and the Composite Dysfunction (3M) Score -- 3. The Criterion Problem -- 4. Need to Compress Measure Sets -- B. Factor Analysis of Psychometric Measures -- C. Factor Analysis of Neurometric Indices Extracted from the EEC Conditions of the NB -- 1. Factor Analysis of the Frequency Spectrum -- 2. Construction of a Compressed Set of Spectral Values -- 3. Factor Analyses of the 10/20 System -- a. Topography of Factors 1-6 -- b. Similar Factor Structure, Eyes Open or Closed -- 4. Construction of Set of Multivariate EEG Indices -- D. Psychometric Multiple Discriminant Function Separating Normal from Learning Disabled Children -- E. Neurometric Multiple Discriminant Function Separating Normal from Learning Disabled Children -- 1. Further Reduction of EEG Measure Set -- 2. Neurometric Multiple Discriminant Function -- F. Correction of Misclassified Subjects -- G. Comparison Between Psychometric and Neurometric Discriminant Functions -- 1. Canonical Correlations Between Psychometric and Neurometric Measures -- 2. Regression Analysis of Covariance for Psychometric and Neurometric Discriminant Scores -- 3. Density Distribution of Psychometric and Neurometric Discriminant Scores -- H. Analysis of Variance of EP Conditions of the NB -- I. Visual Display as a Method of Data Compression: The Density-Coded Z Transform -- J. Cluster Analysis -- 9. The Perspective for Neurometrics -- References -- Author Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Y -- Z -- Subject Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J.
,
L.
Permalink