Ethological Evaluation of the “Spontaneous” and stress-related Anxiety-like Behavior During Ethanol Withdrawal: Long-Term Impact of Alcohol Dependence.

Slides:



Advertisements
Similar presentations
Factor Analysis Continued
Advertisements

Analysis of variance (ANOVA)-the General Linear Model (GLM)
Corticotropin-Releasing Factor within the Central Nucleus of the Amygdala Mediates Enhanced Ethanol Self- Administration in Withdrawn, Ethanol Dependent.
Lecture 7: Principal component analysis (PCA)
Psychology 202b Advanced Psychological Statistics, II April 7, 2011.
WENDIANN SETHI SPRING 2011 SPSS ADVANCED ANALYSIS.
Factor Analysis Research Methods and Statistics. Learning Outcomes At the end of this lecture and with additional reading you will be able to Describe.
Factor Analysis There are two main types of factor analysis:
GRA 6020 Multivariate Statistics Factor Analysis Ulf H. Olsson Professor of Statistics.
Principal Component Analysis Erek Dyskant Physiological Ecology Swarthmore College.
Goals of Factor Analysis (1) (1)to reduce the number of variables and (2) to detect structure in the relationships between variables, that is to classify.
In the name of Allah. Development and psychometric Testing of a new Instrument to Measure Affecting Factors on Women’s Behaviors to Breast Cancer Prevention:
Education 795 Class Notes Factor Analysis II Note set 7.
Factor Analysis Psy 524 Ainsworth.
Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Factor Analysis PowerPoint Prepared by Alfred.
DIFFERENCES BETWEEN WOMEN IN SHORT- AND LONG-TERM RELATIONSHIPS IN CUES FOR SEXUAL DESIRE Ana Carvalheira, PhD 1, Lori Brotto, Ph.D 2 & Isabel Leal, PhD.
Chapter 9 Two-Sample Tests Part II: Introduction to Hypothesis Testing Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.
Inferential Statistics: SPSS
Sleep Deprivation Effects on Memory and Anxiety in Mice Eyitemi Opuogen Department of Biology, York College of Pennsylvania Sleep is imperative for a person’s.
◄ ▼ ► ▲ Figure 2: Percent change ([(P 1 – P 2 )/P 1 ]*100) in pre- to post-step test heart rates in oxygen saturation observed at different elevations.
Does Hip Flexibility Influence Lumbar Spine and Hip Joint Excursions during Forward Bending and Reaching Tasks. Erica Johnson, Ashley McCallum, Brian Sabo.
Factor Analysis © 2007 Prentice Hall. Chapter Outline 1) Overview 2) Basic Concept 3) Factor Analysis Model 4) Statistics Associated with Factor Analysis.
Factor Analysis Istijanto MM, MCom. Definition Factor analysis  Data reduction technique and summarization  Identifying the underlying factors/ dimensions.
DESIPRAMINE BLOCKS THE DEPRESSIVE EFFECTS OF ALCOHOL IN FEMALE WKY RATS Sheketha R. Hauser 1*, Bruk Getachew 2, Robert E. Taylor 2, Yousef Tizabi 2 1 Department.
1 Applied Statistics Using SAS and SPSS Topic: Factor Analysis By Prof Kelly Fan, Cal State Univ, East Bay.
Does Scheduled Intermittent Access to a Highly Palatable Carbohydrate-Rich Food Trigger Binge Eating in Laboratory Rats? Robynn Mackechnie, Kishan Govind,
Applied Quantitative Analysis and Practices
Thursday AM  Presentation of yesterday’s results  Factor analysis  A conceptual introduction to: Structural equation models Structural equation models.
Materials and Methods Phase 1 Evaluated acute effects on fasting blood glucose and on post-oral glucose Groups 1 and 3 received distilled water Groups.
Techniques for studying correlation and covariance structure Principal Components Analysis (PCA) Factor Analysis.
EFFECTS OF CHRONIC ALCOHOL ON BEHAVIOR AND ALPHA-2 ADRENOCEPTORS IN TWO RAT STRAINS B. Getachew*, S. R. Hauser, J. R. Das, C. Ramlochansingh, B. Bhatti,
Lecture 12 Factor Analysis.
Smoking Data The investigation was based on examining the effectiveness of smoking cessation programs among heavy smokers who are also recovering alcoholics.
1 Mohamed Alosh, Ph.D. Kathleen Fritsch, Ph.D. Shiowjen Lee, Ph.D. DBIII, OB, CDER, FDA Efficacy Evaluation in Acne Clinical Trials.
1 Factor Analysis and Inference for Structured Covariance Matrices Shyh-Kang Jeng Department of Electrical Engineering/ Graduate Institute of Communication/
Multivariate Analysis and Data Reduction. Multivariate Analysis Multivariate analysis tries to find patterns and relationships among multiple dependent.
Feature Extraction 主講人:虞台文. Content Principal Component Analysis (PCA) PCA Calculation — for Fewer-Sample Case Factor Analysis Fisher’s Linear Discriminant.
Introduction Zebrafish (Danio rerio) have become an increasingly popular animal model for the study of anxiety. A variety of studies have already begun.
Feature Extraction 主講人:虞台文.
Chapter 14 EXPLORATORY FACTOR ANALYSIS. Exploratory Factor Analysis  Statistical technique for dealing with multiple variables  Many variables are reduced.
PSY 325 AID Education Expert/psy325aid.com FOR MORE CLASSES VISIT
Lecture 2 Survey Data Analysis Principal Component Analysis Factor Analysis Exemplified by SPSS Taylan Mavruk.
of Temperature in the San Francisco Bay Area
Exploratory Factor Analysis
EXPLORATORY FACTOR ANALYSIS (EFA)
BEHAVIORAL AND HORMONAL EFFECTS OF CHRONIC RESTRAINT STRESS IN ADOLESCENT AND ADULT RATS Hansen C, Virgolini MB, De Giovanni L, Miranda-Morales RS, Willie-Billie.
Factor Analysis An Alternative technique for studying correlation and covariance structure.
Analysis of Survey Results
Impact of chronic cocaine on the cholesterol metabolism in the brain.
Theoretical and empiral rationale for using unrestricted PCA solutions
Dimension Reduction via PCA (Principal Component Analysis)
Applied Statistics Using SAS and SPSS
Measuring latent variables
Happiness comes not from material wealth but less desire.
Measuring latent variables
Measuring latent variables
Corticotropin-Releasing Factor in the BNST
Differences in the temporal dynamics of daily activity between chronic pain patients and healthy controls P. Montoya1, P. Geha2, M. Baliki2, A. V. Apkarian2,
Factor Analysis An Alternative technique for studying correlation and covariance structure.
Dataset: Time-depth-recorder (TDR) raw data 1. Date 2
Chapter_19 Factor Analysis
Factor Analysis (Principal Components) Output
Applied Statistics Using SPSS
Practice As part of a program to reducing smoking, a national organization ran an advertising campaign to convince people to quit or reduce their smoking.
WD confers vulnerability to OFT anxiety-like behaviors following traumatic stress exposure. WD confers vulnerability to OFT anxiety-like behaviors following.
Factor Analysis.
Measuring latent variables
Biphasic ambulatory activity and reduced avoidance in Id2−/− mice.
Theoretical rationale and empirical evaluation
Presentation transcript:

Ethological Evaluation of the “Spontaneous” and stress-related Anxiety-like Behavior During Ethanol Withdrawal: Long-Term Impact of Alcohol Dependence Y Zhao, E.P. Zorrilla, F. Weiss Molecular and Integrative Neuroscience Department Scripps Research Institute, La Jolla

-- Alcohol dependence is a chronic relapse disorder. Withdrawal symptoms, such as negative emotions, can persist for months or years following the removal of alcohol and are associated with relapse during long-term alcohol abstinence. -- Recent evidence suggested that neurochemical change during protracted withdrawal might be a time-dependent, progressive process. However, few behavioral studies had investigated time-dependent anxiety state during the protracted withdrawal and most available information on behavioral changes during protracted ethanol withdrawal is limited to “spontaneous” anxiety-like behavior. -- In the present study, we investigated “spontaneous” and stress-related anxiety in rats during the acute withdrawal, as well as short-term and long-term protracted withdrawal. Introduction

Dependence induction -- Dependent rats (n = 75) were subjected to 28 d of dependence induction using ethanol vapor inhalation chambers in which rats were subject to 14-h intermittent (on, 20:00 pm; off, 10 am) ethanol exposure. The control rats (n = 72) were housed in vapor chambers but remained on non-ethanol- containing air. -- Blood samples were obtained at several time points during the vapor exposure period to determine blood alcohol levels (BALs). The blood samples were obtained right after turning off the pump. -- After the final cycle of vapor exposure, all rats were returned to the vivarium and stay there until the elevated plus maze test. Rats were being tested at different time points: 8 to 9 hours, 2 week, 6 week and 12 week after the last vapor exposure. Material and Method (I)

Restrain stress -- Rat were restrained in a clear, vented Plexiglas tube fitted with a tail slot to prevent unnatural body postures, but designed to restrict nearly all movement. The restraint period will last 15 min. Elevated Plus Maze -- Rats were placed individually onto the center of the maze facing a closed arm and removed after a 5-min period. The apparatus was wiped clean with water and dried after each subject. All rats were tested from 6 to 7 pm, which is corresponding to 8 to 9-h acute withdrawal time. Material and Method (II)

-- The spatial and temporal distribution of behavior was calculated as percent total for both frequency (percent open entries, i.e. 100*(open arm entry/[open arm entry+closed arm entry]) and duration (percent time spend on open, i.e. 100*(open arm time/[open arm time+closed arm time]) data. -- The data were submitted to factor analysis using a principal component solution with an orthogonal rotation (varimax) of the factor matrix using SYSTAT 10.0 (SPSS Inc.). Factors were determined from an extracted correlation matrix. Varimax rotation, an orthogonal rotation method that minimizes the number of variables that have high loadings on each factor, was used. Factor solution were analyzed both by scree plot analysis and by retaining factors that had an eigenvalue>1 (Kaiser HF). Statistic Analysis (I)

-- Factor scores were calculated and normalized by Z score transformation. -- Scatter Plots of Factor scores for factor 1, 2 and 3 were generated using SYSTAT 10.0 (SPSS Inc.). -- Effects of protracted withdrawal and restraint stress were analyzed separately by 4 x 2 mixed-factorial ANOVA with between subjects factor using SYSTAT 10.0 (SPSS Inc.). Significant interactions were followed by Fisher’s PLSD post hoc tests to evaluate differences between each groups SYSTAT 10.0 (SPSS Inc.). Statistic Analysis (II)

Table 1:Factor analysis of the elevated plus maze results combined dependent and non-dependent rats

Fig 1. The effect of chronic ethanol exposure and restrain stress on anxiety measures(A) Factor 1Z score; (B) open arm time; (C) percent open arm time in elevated plus maze test at different withdrawal time points in depedent rats. A. B.C.

Fig 2. The effect of chronic ethanol exposure and restrain stress on locomotors activity measures (A) Factor 2 Z score; (B) close arm entry; in elevated plus maze test at different withdrawal time points in dependent rats. A.B.

Fig 3. The effect of chronic ethanol exposure and restrain stress on conflict/decision making behavior measures (A) Factor 3 Z score; (B) center time in elevated plus maze test at different withdrawal time points in dependent rats. A.B.

Fig 4. Scatter plots of Z scores of factor 1, 2 and 3 of individual rats of (A)non-dependent; (B) dependent acute withdrawal; (C) dependent short-term withdrawal; (D) dependent long-term withdrawal. A. Control B. Acute C. Short-term D. Long-term

-- The chronic ethanol exposure increased “spontaneous” anxiety-like behavior in elevated plus maze test in rats during acute withdrawal and the long-term protracted withdrawal, but not the short-term protracted withdrawal. -- Compare to the non-dependent control rats, the restraint stress significantly increased anxiety-like behavior in dependent rats, as well as in non-dependent rats. -- Chronic ethanol exposure had no effects on locomotor activity and conflict/decision making behavior of the elevated plus maze test. -- Chronic ethanol exposure changed the behavior profiles of elevated plus maze during acute withdrawal, short-term and long-term protracted withdrawal. Summary

Chronic ethanol exposure caused a long lasting and time-dependent increase of “spontanous” anxiety level and a changed behavioral profile of rats during ethanol withdrawal. Acknowledgement This study was supported by NIH grant AA06420 Conclusion