Apathy and Perceptual Category Learning in Parkinson's Disease:

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Vincent Filoteo 1,2 , W. Todd Maddox 3 , David P. Salmon 3 , Stephanie L. Lessig 1,2 , and David D. Song 1,2 1 VA San Diego Healthcare System; 2 University of California San Diego; 3 University of Texas at Austin Apathy and Perceptual Category Learning in Parkinson's Disease: Possible Role of the Ventral Striatum Apathy is significantly Apathy is significantly associated with cognitive associated with cognitive deficits in patients with deficits in patients with Parkinson's disease (PD) and Parkinson's disease (PD) and results in greater impairment results in greater impairment than depression alone than depression alone . . (1,2) (1,2) Apathy in PD is also associated Apathy in PD is also associated with ventral striatal with ventral striatal dysfunction dysfunction (3) (3) , a region known , a region known to be involved in to be involved in reinforcement-based learning. reinforcement-based learning. (4) (4) No study, however, has examined No study, however, has examined whether PD patients with high whether PD patients with high levels of apathy are impaired levels of apathy are impaired on such tasks. on such tasks. We examines reinforcement-based We examines reinforcement-based learning in high apathy PD learning in high apathy PD patients using an implicit patients using an implicit category learning task that is category learning task that is believed to rely on striatal believed to rely on striatal dopamine and has been shown to dopamine and has been shown to be sensitive to the cognitive be sensitive to the cognitive deficits observed in PD deficits observed in PD patients. patients. (5) (5) BACKGROUND PARTICIPANTS Sixty seven nondemented PD Sixty seven nondemented PD patients were classified as patients were classified as either having clinical levels of either having clinical levels of apathy (high apathy PD, or PD- apathy (high apathy PD, or PD- HA; n=31) or low apathy (low HA; n=31) or low apathy (low apathy PD, or PD-LA; n=36) using apathy PD, or PD-LA; n=36) using a cut-off score ( a cut-off score ( > > 14) from the 14) from the Apathy Scale (AS) Apathy Scale (AS) (6) (6) . Forty . Forty four normal controls (NC) also four normal controls (NC) also participated. participated. The mean (SD) for age, years of The mean (SD) for age, years of education (ED), total scores on education (ED), total scores on the Mattis Dementia Rating Scale the Mattis Dementia Rating Scale (MDRS) (MDRS) (7) (7) , the AS, and the , the AS, and the Geriatric Depression Scale (GDS) Geriatric Depression Scale (GDS) (8) (8) , for the PD-HA, PD-LA, and NC , for the PD-HA, PD-LA, and NC groups are displayed below. groups are displayed below. PD-HA PD-HA PD-LA PD-LA NC NC Age Age 69.6 69.6 66.2 66.2 66.7 66.7 (8.0) (8.0) (6.1) (6.1) (8.8) (8.8) ED ED 16.6 16.6 16.1 16.1 16.2 16.2 (2.7) (2.7) (2.8) (2.8) (2.5) (2.5) MDRS MDRS 137.3 137.3 138.1 138.1 140.3 140.3 (4.9) (4.9) (3.9) (3.9) (3.6) (3.6) The reinforcement-based The reinforcement-based learning task administered was learning task administered was an implicit learning task an implicit learning task developed by Ashby and Gott. developed by Ashby and Gott. (9) (9) Participants were shown stimuli Participants were shown stimuli consisting of Gabor patches consisting of Gabor patches (see below) and were asked to (see below) and were asked to classify each into one of two classify each into one of two categories by pressing one of categories by pressing one of two computer keys. Six, 80 two computer keys. Six, 80 trial blocks were presented. trial blocks were presented. Following each response, Following each response, participants were given participants were given corrective feedback. corrective feedback. A sample trial is displayed A sample trial is displayed below. below. REINFORCEMENT-BASED LEARNING TASK 1. Aarsland, D., Marsh, L. and Schrag, A. (2009). Neuropsychiatric symptoms in Parkinson's disease. Mov Disord, 24(15): 2175-86. 2. Zgaljardic, D.J., Borod, J.C. , Foldi, N.S. , Rocco, M., Mattis, P.J. , Gordon, M.F., Feigin, A.S. , and Eidelberg, D. (2007). Relationship between self- reported apathy and executive dysfunction in nondemented patients with Parkinson disease. Cogn Behav Neurol, 20(3): 184-92. 3. Remy, P., Doder, M., Lees, A., Turjanski, N. and Brooks, D. (2005). Depression in Parkinson's disease: loss of dopamine and noradrenaline innervation in the limbic system. Brain, 128(Pt 6): 1314-22. 4. Haber, S.N. and Knutson, B. (2010). The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology. 35(1): 4-26. 5. Filoteo, J.V., Maddox, W.T., Salmon, D.P., & Song, D.D. (2005). Information integration category learning in patients with striatal dysfunction. Neuropsychology, 19, 212-222. 6. Starkstein, S.E., Mayberg, H.S., Preziosi, T.J. , Andrezejewski, P., Leiguarda, R., and Robinson, R.G. (1992) Reliability, validity, and clinical correlates of apathy in Parkinson's disease. J Neuropsychiatry Clin Neurosci, 4(2): 134-9. 7. Mattis, S., Dementia Rating Scale. 1988, Odessa, FL: Psychological Assessment Resources. 8. Yesavage, J.A., Brink, T.L., Rose, T.L., Lum, O., Huang, V., Adey, M., & Leirer, V.O.. (1982). Development and validation of a geriatic depression screening scale: A preliminary report. J Psychiatr Res, 17(1): 37-39. REFERENCES REGRESSION ANALYSES CONCLUSIONS The rule that dictated category The rule that dictated category membership was a nonlinear membership was a nonlinear relationship between the width relationship between the width and orientation of the bars and orientation of the bars comprising the Gabor patch. comprising the Gabor patch. The distribution of stimuli is The distribution of stimuli is displayed below. Open circles displayed below. Open circles represent Category A exemplars, represent Category A exemplars, and closed circles represent and closed circles represent Category B exemplars. Category B exemplars. A or B? Response Correct or Wrong Orientation Spatial Frequency REINFORCEMENT-BASED LEARNING RESULTS Accuracy results are displayed Accuracy results are displayed below for the three groups. below for the three groups. PD-HA patients were PD-HA patients were significantly impaired in significantly impaired in reinforcement-based learning reinforcement-based learning relative to both PD-LA and relative to both PD-LA and NCs, whereas the latter two NCs, whereas the latter two groups did not differ. groups did not differ. Several regression analyses Several regression analyses indicated that apathy levels, indicated that apathy levels, but not depression levels, but not depression levels, predicted performance on the predicted performance on the reinforcement-based learning reinforcement-based learning task. task. Neither apathy or depression Neither apathy or depression predicted performance on the predicted performance on the rule-based task rule-based task PD patients with apathy are PD patients with apathy are impaired in reinforcement-based impaired in reinforcement-based learning, but not rule-based learning, but not rule-based learning. learning. Although PD patients with apathy Although PD patients with apathy also report greater symptoms of also report greater symptoms of depression, depression is not depression, depression is not associated with impaired associated with impaired reinforcement-based or rule- reinforcement-based or rule- based learning. based learning. Apathy and impaired Apathy and impaired reinforcement based learning may reinforcement based learning may share the same neural substrate share the same neural substrate and could be due to dysfunction and could be due to dysfunction within the ventral striatum. within the ventral striatum. Groups did not differ in Age or Groups did not differ in Age or ED, but PD-HA and PD-LA groups ED, but PD-HA and PD-LA groups had lower MDRS scores than NCs. had lower MDRS scores than NCs. PD-HA had greater AS scores PD-HA had greater AS scores than PD-LA and NCs, whereas than PD-LA and NCs, whereas both PD groups had greater GDS both PD groups had greater GDS scores than NCs. scores than NCs. RULE-BASED LEARNING TASK To examine the specificity of To examine the specificity of the PD-HA patients’ deficit, the PD-HA patients’ deficit, we administered a second we administered a second category learning task where category learning task where subjects had to categorize subjects had to categorize single line that varied in single line that varied in length and orientation into length and orientation into one of 4 categories. The rule one of 4 categories. The rule that dictated category that dictated category membership depended on the membership depended on the length of the line and length of the line and orientation was irrelevant. orientation was irrelevant. The figure below displays the The figure below displays the category exemplars, with category exemplars, with squares representing Category squares representing Category A exemplars, circles A exemplars, circles representing Category B representing Category B exemplars, closed triangles exemplars, closed triangles representing Category C representing Category C exemplars, and open triangles exemplars, and open triangles representing Category D representing Category D exemplars. exemplars. RULE-BASED LEARNING RESULTS PD-HA and PD-LA differed from PD-HA and PD-LA differed from controls but not from one controls but not from one another. another.

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BACKGROUND. Apathy is significantly associated with cognitive deficits in patients with Parkinson's disease (PD) and results in greater impairment than depression alone . (1,2) - PowerPoint PPT Presentation

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J. Vincent Filoteo 1,2, W. Todd Maddox3, David P. Salmon3, Stephanie L. Lessig 1,2, and David D. Song1,2

1VA San Diego Healthcare System; 2University of California San Diego; 3University of Texas at Austin

Apathy and Perceptual Category Learning in Parkinson's Disease: Possible Role of the Ventral Striatum

Apathy is significantly associated with Apathy is significantly associated with cognitive deficits in patients with cognitive deficits in patients with Parkinson's disease (PD) and results in Parkinson's disease (PD) and results in greater impairment than depression alonegreater impairment than depression alone..(1,2)(1,2)

Apathy in PD is also associated with ventral Apathy in PD is also associated with ventral striatal dysfunctionstriatal dysfunction(3)(3), a region known to be , a region known to be involved in reinforcement-based learning.involved in reinforcement-based learning.(4)(4)

No study, however, has examined whether No study, however, has examined whether PD patients with high levels of apathy are PD patients with high levels of apathy are impaired on such tasks.impaired on such tasks.

We examines reinforcement-based learning We examines reinforcement-based learning in high apathy PD patients using an implicit in high apathy PD patients using an implicit category learning task that is believed to category learning task that is believed to rely on striatal dopamine and has been rely on striatal dopamine and has been shown to be sensitive to the cognitive shown to be sensitive to the cognitive deficits observed in PD patients. deficits observed in PD patients. (5) (5)

BACKGROUND

PARTICIPANTS

Sixty seven nondemented PD patients were Sixty seven nondemented PD patients were classified as either having clinical levels of classified as either having clinical levels of apathy (high apathy PD, or PD-HA; n=31) or apathy (high apathy PD, or PD-HA; n=31) or low apathy (low apathy PD, or PD-LA; low apathy (low apathy PD, or PD-LA; n=36) using a cut-off score (n=36) using a cut-off score (>>14) from the 14) from the Apathy Scale (AS) Apathy Scale (AS) (6)(6). Forty four normal . Forty four normal controls (NC) also participated.controls (NC) also participated.

The mean (SD) for age, years of education The mean (SD) for age, years of education (ED), total scores on the Mattis Dementia (ED), total scores on the Mattis Dementia Rating Scale (MDRS) Rating Scale (MDRS) (7)(7) , the AS, and the , the AS, and the Geriatric Depression Scale (GDS) Geriatric Depression Scale (GDS) (8)(8), for the , for the PD-HA, PD-LA, and NC groups are PD-HA, PD-LA, and NC groups are displayed below.displayed below.

PD-HAPD-HA PD-LAPD-LA NCNC

AgeAge 69.669.6 66.266.2 66.766.7(8.0)(8.0) (6.1)(6.1) (8.8)(8.8)

EDED 16.616.6 16.116.1 16.216.2(2.7)(2.7) (2.8)(2.8) (2.5)(2.5)

MDRSMDRS 137.3137.3 138.1138.1 140.3140.3(4.9)(4.9) (3.9)(3.9) (3.6)(3.6)

ASAS 17.317.3 8.78.7 9.09.0(3.2)(3.2) (3.3)(3.3) (5.1)(5.1)

GDSGDS 9.49.4 4.34.3 3.03.0(5.6)(5.6) (4.2)(4.2) (4.1)(4.1)

The reinforcement-based learning task The reinforcement-based learning task administered was an implicit learning task administered was an implicit learning task developed by Ashby and Gott. developed by Ashby and Gott. (9)(9)

Participants were shown stimuli consisting Participants were shown stimuli consisting of Gabor patches (see below) and were of Gabor patches (see below) and were asked to classify each into one of two asked to classify each into one of two categories by pressing one of two computer categories by pressing one of two computer keys. Six, 80 trial blocks were presented.keys. Six, 80 trial blocks were presented.

Following each response, participants were Following each response, participants were given corrective feedback.given corrective feedback.

A sample trial is displayed below.A sample trial is displayed below.

REINFORCEMENT-BASEDLEARNING TASK

1. Aarsland, D., Marsh, L. and Schrag, A. (2009). Neuropsychiatric symptoms in Parkinson's disease. Mov Disord, 24(15): 2175-86.

2. Zgaljardic, D.J., Borod, J.C. , Foldi, N.S. , Rocco, M., Mattis, P.J. , Gordon, M.F., Feigin, A.S. , and Eidelberg, D. (2007). Relationship between self-reported apathy and executive dysfunction in nondemented patients with Parkinson disease. Cogn Behav Neurol, 20(3): 184-92.

3. Remy, P., Doder, M., Lees, A., Turjanski, N. and Brooks, D. (2005). Depression in Parkinson's disease: loss of dopamine and noradrenaline innervation in the limbic system. Brain, 128(Pt 6): 1314-22.

4. Haber, S.N. and Knutson, B. (2010). The reward circuit: linking primate anatomy and human imaging. Neuropsychopharmacology. 35(1): 4-26.

5. Filoteo, J.V., Maddox, W.T., Salmon, D.P., & Song, D.D. (2005). Information integration category learning in patients with striatal dysfunction. Neuropsychology, 19, 212-222.

6. Starkstein, S.E., Mayberg, H.S., Preziosi, T.J. , Andrezejewski, P., Leiguarda, R., and Robinson, R.G. (1992) Reliability, validity, and clinical correlates of apathy in Parkinson's disease. J

Neuropsychiatry Clin Neurosci, 4(2): 134-9.7. Mattis, S., Dementia Rating Scale. 1988, Odessa, FL: Psychological Assessment Resources.8. Yesavage, J.A., Brink, T.L., Rose, T.L., Lum, O., Huang, V., Adey, M., & Leirer, V.O.. (1982). Development and

validation of a geriatic depression screening scale: A preliminary report . J Psychiatr Res, 17(1): 37-39.9. Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli .

Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 33-53.

REFERENCES

REGRESSION ANALYSES

CONCLUSIONS

The rule that dictated category membership The rule that dictated category membership was a nonlinear relationship between the was a nonlinear relationship between the width and orientation of the bars width and orientation of the bars comprising the Gabor patch.comprising the Gabor patch.

The distribution of stimuli is displayed The distribution of stimuli is displayed below. Open circles represent Category A below. Open circles represent Category A exemplars, and closed circles represent exemplars, and closed circles represent Category B exemplars. Category B exemplars.

AorB?

ResponseCorrect

orWrong

Ori

enta

tion

Spatial Frequency

REINFORCEMENT-BASEDLEARNING RESULTS

Accuracy results are displayed below for Accuracy results are displayed below for the three groups.the three groups.

PD-HA patients were significantly PD-HA patients were significantly impaired in reinforcement-based learning impaired in reinforcement-based learning relative to both PD-LA and NCs, whereas relative to both PD-LA and NCs, whereas the latter two groups did not differ.the latter two groups did not differ.

Several regression analyses indicated that Several regression analyses indicated that apathy levels, but not depression levels, apathy levels, but not depression levels, predicted performance on the predicted performance on the reinforcement-based learning task.reinforcement-based learning task.

Neither apathy or depression predicted Neither apathy or depression predicted performance on the rule-based taskperformance on the rule-based task

PD patients with apathy are impaired in PD patients with apathy are impaired in reinforcement-based learning, but not rule-reinforcement-based learning, but not rule-based learning.based learning.

Although PD patients with apathy also report Although PD patients with apathy also report greater symptoms of depression, depression is greater symptoms of depression, depression is not associated with impaired reinforcement-not associated with impaired reinforcement-based or rule-based learning.based or rule-based learning.

Apathy and impaired reinforcement based Apathy and impaired reinforcement based learning may share the same neural substrate learning may share the same neural substrate and could be due to dysfunction within the and could be due to dysfunction within the ventral striatum.ventral striatum.

Groups did not differ in Age or ED, but PD-Groups did not differ in Age or ED, but PD-HA and PD-LA groups had lower MDRS HA and PD-LA groups had lower MDRS scores than NCs.scores than NCs.

PD-HA had greater AS scores than PD-LA PD-HA had greater AS scores than PD-LA and NCs, whereas both PD groups had and NCs, whereas both PD groups had greater GDS scores than NCs.greater GDS scores than NCs.

RULE-BASED LEARNING TASK

To examine the specificity of the PD-HA To examine the specificity of the PD-HA patients’ deficit, we administered a second patients’ deficit, we administered a second category learning task where subjects had category learning task where subjects had to categorize single line that varied in to categorize single line that varied in length and orientation into one of 4 length and orientation into one of 4 categories. The rule that dictated category categories. The rule that dictated category membership depended on the length of the membership depended on the length of the line and orientation was irrelevant. The line and orientation was irrelevant. The figure below displays the category figure below displays the category exemplars, with squares representing exemplars, with squares representing Category A exemplars, circles Category A exemplars, circles representing Category B exemplars, representing Category B exemplars, closed triangles representing Category C closed triangles representing Category C exemplars, and open triangles exemplars, and open triangles representing Category D exemplars.representing Category D exemplars.

RULE-BASED LEARNING RESULTS

PD-HA and PD-LA differed from controls PD-HA and PD-LA differed from controls but not from one another.but not from one another.