Patient Cognitive Reserve and MS-Related Cognitive Dysfunction

Slides:



Advertisements
Similar presentations
EcoTherm Plus WGB-K 20 E 4,5 – 20 kW.
Advertisements

Números.
1 A B C
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AP STUDY SESSION 2.
1
EuroCondens SGB E.
Worksheets.
Slide 1Fig 26-CO, p.795. Slide 2Fig 26-1, p.796 Slide 3Fig 26-2, p.797.
Slide 1Fig 25-CO, p.762. Slide 2Fig 25-1, p.765 Slide 3Fig 25-2, p.765.
Sequential Logic Design
Copyright © 2013 Elsevier Inc. All rights reserved.
Addition and Subtraction Equations
David Burdett May 11, 2004 Package Binding for WS CDL.
NTDB ® Annual Report 2009 © American College of Surgeons All Rights Reserved Worldwide Percent of Hospitals Submitting Data to NTDB by State and.
Add Governors Discretionary (1G) Grants Chapter 6.
CALENDAR.
CHAPTER 18 The Ankle and Lower Leg
FACTORING ax2 + bx + c Think “unfoil” Work down, Show all steps.
2.11.
The 5S numbers game..
A Fractional Order (Proportional and Derivative) Motion Controller Design for A Class of Second-order Systems Center for Self-Organizing Intelligent.
Break Time Remaining 10:00.
The basics for simulations
Division- the bus stop method
EE, NCKU Tien-Hao Chang (Darby Chang)
PP Test Review Sections 6-1 to 6-6
The Pecan Market How long will prices stay this high?? Brody Blain Vice – President.
MM4A6c: Apply the law of sines and the law of cosines.
Figure 3–1 Standard logic symbols for the inverter (ANSI/IEEE Std
Regression with Panel Data
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
1 Prediction of electrical energy by photovoltaic devices in urban situations By. R.C. Ott July 2011.
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
Progressive Aerobic Cardiovascular Endurance Run
Biology 2 Plant Kingdom Identification Test Review.
Adding Up In Chunks.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
Sets Sets © 2005 Richard A. Medeiros next Patterns.
TCCI Barometer September “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
Artificial Intelligence
When you see… Find the zeros You think….
Before Between After.
12 October, 2014 St Joseph's College ADVANCED HIGHER REVISION 1 ADVANCED HIGHER MATHS REVISION AND FORMULAE UNIT 2.
Subtraction: Adding UP
: 3 00.
5 minutes.
1 Non Deterministic Automata. 2 Alphabet = Nondeterministic Finite Accepter (NFA)
Let’s take a 15 minute break Please be back on time.
1 Measure Up! Benchmark Assessment Quality Assurance Process RCAN September 10, 2010.
Static Equilibrium; Elasticity and Fracture
Converting a Fraction to %
Resistência dos Materiais, 5ª ed.
Clock will move after 1 minute
famous photographer Ara Guler famous photographer ARA GULER.
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 11 Simple Linear Regression.
Physics for Scientists & Engineers, 3rd Edition
Select a time to count down from the clock above
Copyright Tim Morris/St Stephen's School
WARNING This CD is protected by Copyright Laws. FOR HOME USE ONLY. Unauthorised copying, adaptation, rental, lending, distribution, extraction, charging.
1 Dr. Scott Schaefer Least Squares Curves, Rational Representations, Splines and Continuity.
1 Non Deterministic Automata. 2 Alphabet = Nondeterministic Finite Accepter (NFA)
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
Presentation transcript:

Patient Cognitive Reserve and MS-Related Cognitive Dysfunction Chair Timothy L. Vollmer, MD Faculty John DeLuca, PhD

Study Rationale and Objective Introduction Cognitive impairment affects approximately 2/3 of patients with MS MS-related cognitive dysfunction is only partially predicted by MRI estimates of brain pathology Study objective To determine whether higher premorbid intellectual functioning, ie, cognitive reserve (efficiency and capacity of neural networks), protects patients from MS-related cognitive dysfunction Cognitive reserve is best measured on the basis of estimated verbal intelligence as determined on the Wide Range Achievement Test–Third Edition Lower cognitive reserve: Z = -1; higher cognitive reserve: Z = +1 Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Components of Cognitive Function Measurement Tools Simple processing efficiency Symbol Digit Modalities Test (SDMT) – Oral Version Complex information processing efficiency Paced Auditory Serial Addition Test (PASAT) Verbal learning and memory Logical Memory subtests (LM-I and LM-II) of the Wechsler Memory Scale–Revised Verbal learning: LM-I Verbal memory: LM-II Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Simple Processing Efficiency Total Cognitive Reserve Group Lower Higher Z score Z score (Percentile) Z score (Percentile) Healthy controls +0.48 + 0.89 +0.57* (72nd) +0.46* (68th) MS patients -0.58 + 1.18 -1.16† (12th) -0.26† (40th) P value <.001 * The correlation between cognitive reserve and simple processing efficiency did not reach significance in healthy controls (r = -.01, P >.50). † The correlation between cognitive reserve and simple processing efficiency did not reach significance in MS patients (r = 21, P >.10). Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Complex Information Processing Efficiency Total Cognitive Reserve Group Lower Higher Z score Z score (Percentile) Z score (Percentile) Healthy controls +0.21 + 0.84 +0.06* (52nd) +0.29* (61st) MS patients -0.50 + 1.13 -1.56† (6th) -0.20† (58th) P Value .001 The correlation between cognitive reserve and complex information processing efficiency (PASAT) did not reach significance in healthy controls (r = .15, P >.10). † There was a large significant correlation between cognitive reserve and complex information processing efficiency (PASAT) in MS patients (r = .42, P = .001). Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Verbal Learning Total Cognitive Reserve Group Lower Higher Z score Z score (Percentile) Z score (Percentile) Healthy controls +0.57 + 0.84 0.23* (59th) +0.60* (73rd) MS patients -0.01 + 0.81 -1.25† (11th) +0.78† (78th) P value <.001 * The correlation between cognitive reserve and verbal learning did not reach significance in healthy controls (r = .14, P >.10). † There was a large significant correlation between cognitive reserve and verbal learning in MS patients (r = .61, P <.001). Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Verbal Memory Z score Z score (Percentile) Z score (Percentile) Total Cognitive Reserve Group Lower Higher Z score Z score (Percentile) Z score (Percentile) Healthy controls +0.53 + 0.83 +0.09* (54th) +0.63* (74th) MS patients -0.12 + 0.87 -1.23† (11th) +0.63† (74th) P value <.001 * The correlation between cognitive reserve and verbal memory did not reach significance in healthy controls (r = .22, P >.10). † There was a large significant correlation between cognitive reserve and verbal memory in MS patients (r = .53, P <.001). Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.

Conclusions The detrimental effect of MS on aspects of cognitive functioning is modified by patient cognitive reserve Higher cognitive reserve protects patients from MS-related complex information processing inefficiency and verbal learning and verbal memory deficits The protective effect of higher cognitive reserve allows patients to maintain cognitive performance comparable to that of healthy controls However, higher cognitive reserve had no significant effect on MS-related deficits in simple processing efficiency These findings may help to explain the weak association between MRI markers of MS brain pathology and cognition noted in previous studies Sumowski JF, et al. J Clin Exp Neuropsychol. 2009;31:913-926.