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CALIFORNIA STATE UNIVERSITY, NORTHRIDGE
AGE-RELATED DIFFERENCES IN BRAIN ACTIVATION
A thesis submitted in partial fulfillment of the requirements for
The degree of Master of Arts in Community / Clinical
by
Craig A. Goodman
August 1998
ii
The Thesis of Craig Goodman is approved:
__________________________________ ________________
Sheila K. Grant-Thompson, Ph.D. Date
__________________________________ ________________
Carrie Saetermoe. Ph.D. Date
__________________________________ ________________
Maura Mitrushina, Ph.D., Chair Date
California State University, Northridge
iii
Acknowledgement
I wish to extend my gratitude to the following people who have made this project a
rewarding and enriching experience. To my comrades in the laboratory; Kenneth
Thomas, M.A., Denise Torgerson, B.A., and Renee Galbavy, B.A., thank you for all your
help in data acquisition, and training. Special thanks are due to Dr. Steven Berman
whose invaluable knowledge and guidance made this thesis possible. Especially to my
mentor, Dr. Maura Mitrushina, who has been a source of inspiration and unfailing belief
in my efforts, providing so many keys that have unlocked the doors to my future.
Finally, to my wife Hagit, all your love and support has helped me overcome the
challenges and obstacles, and made my dreams a reality.
iv
TABLE OF CONTENTS
Page
Signature Page ii
Acknowledgement iii
Abstract viii
Introduction 1
Methods of Investigation of Brain Functioning 1
Evoked Potentials 1
Nomenclature 3
P300 Waveform 4
N200 Waveform 7
Recording of Electrical Potentials from the Scalp 7
Artifacts 8
Measurement and Analysis of ERPs 11
Clinical Applications 13
Utility of Electrophysiological Measures in the Study
of Age-Related Cognitive Decline 15
. Cognitive Decline in the Elderly 15
Evoked Potentials in the Elderly 18
Method 23
Participants 23
Apparatus and Procedure 23
Data Analysis 25
Results 27
v
P3 27
P3 Amplitude 27
P3 Latency 30
N2 31
N2 Amplitude 31
N2 Latency 34
Reaction Time 36
Correct Responses 36
Correlations 37
Discussion 40
References 45
Tables
1. Between and Within Groups Analysis of Variance 55
2. P3 Amplitude and Latency as a Function of
Number of Matching features and age 56
3. N2 Amplitude as a function of Electrode and Age 57
4. Correlations Between P3 Amplitude and N2
Amplitude 58
5. Correlations Between P3 Latency and N2 Latency 59
6. Correlations Between P3 Amplitude and P3
Latency 60
7. Correlations Between N2 Amplitude and N2
Latency 61
8. Correlations Between RT and P3 62
9. Correlations Between RT and N2 63
vi
Figure Caption 64
Figure 1.a) P3 Analysis for N-Task with Zero Matching
Features 65
b) P3 Analysis for Z-Task with Zero Matching
Features 66
c) P3 Analysis for N-Task with One Matching
Feature 67
d) P3 Analysis for Z-Task with One Matching
Feature 68
e) P3 Analysis for N-Task with Two Matching
Features 69
f) P3 Analysis for Z-Task with Two Matching
Features 70
g) P3 Analysis for N-Task with Three Matching
Features 71
h) P3 Analysis for Z-Task with Three Matching
Features 72
Figure 2.a) N2 Analysis for N-Task with One Matching
Feature 73
b) N2 Analysis for Z-Task with One Matching
Feature 74
c) N2 Analysis for N-Task with Two Matching
Features 75
d) N2 Analysis for Z-Task with Two Matching
Features 76
e) N2 Analysis for N-Task with Three Matching
Features 77
f) N2 Analysis for Z-Task with Three
Matching Features 78
vii
Figure 3.a) N2 Amplitudes for Electrodes in Young
and Elderly 79
b) N2 Latency for Electrodes in Young and
Elderly 80
Appendix
International 10 – 20 System of Electrode
Placement 81
viii
ABSTRACT
AGE-RELATED DIFFERENCES IN BRAIN ACTIVATION
by
Craig A. Goodman
Master of Arts in Community / Clinical
The research presented relates to the field of cognitive and electrophysiological
differences between the young and elderly adults. Event-related potentials (ERPs) were
recorded from young adults (N = 24, age 18-34) and elderly (N = 15, age 60-80) in
response to two continuous performance tasks varying in complexity. The elderly group
demonstrated significantly longer latencies for both P3 and N2 components of ERPs.
Higher amplitudes for both N2 and P3 components were found to be associated with
increasing complexity of cognitive demands for the young group, but not for the elderly
group. This reflects an age-related decline in the ability to effectively evaluate the
complex stimuli. Age group differences were also found in scalp topography for N2
amplitude, with the young group demonstrating a more posterior distribution, while the
elderly group had a more anterior shift in distribution. Results indicated that the elderly
demonstrated less elaborative controlled strategic processing for the more
psychomotorically complex tasks. In evaluating reaction times and latencies of both N2
and P3 components for both tasks, the elderly showed longer processing times,
suggesting increased mental slowing associated with advancing age. Findings are
consistent with the literature on age-related cognitive decline.

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AGE-RELATED DIFFERENCES IN BRAIN ACTIVATION - M.A. Thesis of Craig A. Goodman

  • 1. CALIFORNIA STATE UNIVERSITY, NORTHRIDGE AGE-RELATED DIFFERENCES IN BRAIN ACTIVATION A thesis submitted in partial fulfillment of the requirements for The degree of Master of Arts in Community / Clinical by Craig A. Goodman August 1998
  • 2. ii The Thesis of Craig Goodman is approved: __________________________________ ________________ Sheila K. Grant-Thompson, Ph.D. Date __________________________________ ________________ Carrie Saetermoe. Ph.D. Date __________________________________ ________________ Maura Mitrushina, Ph.D., Chair Date California State University, Northridge
  • 3. iii Acknowledgement I wish to extend my gratitude to the following people who have made this project a rewarding and enriching experience. To my comrades in the laboratory; Kenneth Thomas, M.A., Denise Torgerson, B.A., and Renee Galbavy, B.A., thank you for all your help in data acquisition, and training. Special thanks are due to Dr. Steven Berman whose invaluable knowledge and guidance made this thesis possible. Especially to my mentor, Dr. Maura Mitrushina, who has been a source of inspiration and unfailing belief in my efforts, providing so many keys that have unlocked the doors to my future. Finally, to my wife Hagit, all your love and support has helped me overcome the challenges and obstacles, and made my dreams a reality.
  • 4. iv TABLE OF CONTENTS Page Signature Page ii Acknowledgement iii Abstract viii Introduction 1 Methods of Investigation of Brain Functioning 1 Evoked Potentials 1 Nomenclature 3 P300 Waveform 4 N200 Waveform 7 Recording of Electrical Potentials from the Scalp 7 Artifacts 8 Measurement and Analysis of ERPs 11 Clinical Applications 13 Utility of Electrophysiological Measures in the Study of Age-Related Cognitive Decline 15 . Cognitive Decline in the Elderly 15 Evoked Potentials in the Elderly 18 Method 23 Participants 23 Apparatus and Procedure 23 Data Analysis 25 Results 27
  • 5. v P3 27 P3 Amplitude 27 P3 Latency 30 N2 31 N2 Amplitude 31 N2 Latency 34 Reaction Time 36 Correct Responses 36 Correlations 37 Discussion 40 References 45 Tables 1. Between and Within Groups Analysis of Variance 55 2. P3 Amplitude and Latency as a Function of Number of Matching features and age 56 3. N2 Amplitude as a function of Electrode and Age 57 4. Correlations Between P3 Amplitude and N2 Amplitude 58 5. Correlations Between P3 Latency and N2 Latency 59 6. Correlations Between P3 Amplitude and P3 Latency 60 7. Correlations Between N2 Amplitude and N2 Latency 61 8. Correlations Between RT and P3 62 9. Correlations Between RT and N2 63
  • 6. vi Figure Caption 64 Figure 1.a) P3 Analysis for N-Task with Zero Matching Features 65 b) P3 Analysis for Z-Task with Zero Matching Features 66 c) P3 Analysis for N-Task with One Matching Feature 67 d) P3 Analysis for Z-Task with One Matching Feature 68 e) P3 Analysis for N-Task with Two Matching Features 69 f) P3 Analysis for Z-Task with Two Matching Features 70 g) P3 Analysis for N-Task with Three Matching Features 71 h) P3 Analysis for Z-Task with Three Matching Features 72 Figure 2.a) N2 Analysis for N-Task with One Matching Feature 73 b) N2 Analysis for Z-Task with One Matching Feature 74 c) N2 Analysis for N-Task with Two Matching Features 75 d) N2 Analysis for Z-Task with Two Matching Features 76 e) N2 Analysis for N-Task with Three Matching Features 77 f) N2 Analysis for Z-Task with Three Matching Features 78
  • 7. vii Figure 3.a) N2 Amplitudes for Electrodes in Young and Elderly 79 b) N2 Latency for Electrodes in Young and Elderly 80 Appendix International 10 – 20 System of Electrode Placement 81
  • 8. viii ABSTRACT AGE-RELATED DIFFERENCES IN BRAIN ACTIVATION by Craig A. Goodman Master of Arts in Community / Clinical The research presented relates to the field of cognitive and electrophysiological differences between the young and elderly adults. Event-related potentials (ERPs) were recorded from young adults (N = 24, age 18-34) and elderly (N = 15, age 60-80) in response to two continuous performance tasks varying in complexity. The elderly group demonstrated significantly longer latencies for both P3 and N2 components of ERPs. Higher amplitudes for both N2 and P3 components were found to be associated with increasing complexity of cognitive demands for the young group, but not for the elderly group. This reflects an age-related decline in the ability to effectively evaluate the complex stimuli. Age group differences were also found in scalp topography for N2 amplitude, with the young group demonstrating a more posterior distribution, while the elderly group had a more anterior shift in distribution. Results indicated that the elderly demonstrated less elaborative controlled strategic processing for the more psychomotorically complex tasks. In evaluating reaction times and latencies of both N2 and P3 components for both tasks, the elderly showed longer processing times, suggesting increased mental slowing associated with advancing age. Findings are consistent with the literature on age-related cognitive decline.