Influence of Age and Executive Functions on Story Grammar Performance in Adults Michael S....

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Influence of Age and Executive Functions on Story Grammar Performance in Adults Michael S. Cannizzaro & Carl A. Coelho University of Connecticut, Storrs Poster presented at the 33 rd annual Clinical Aphasiology Conference, May 2003. E-mail [email protected] INTRODUCTION Previous investigations of age-related cognitive-linguistic decline have demonstrated the value of studying discourse ability (Chapman, Zientz, Weiner, Rosenberg, Frawley, & Burns, 2002; Glosser & Desser, 1992; Makenzie, 2000; Snow & Douglas, 2000; Ulatowska, Freedman-Stern, Doyel, Macaluso-Haynes, & North, 1983). Discourse can be conceptualized as the related, extended, and meaningful representation of communication across multiple language units (van Dijk & Kintsch, 1983). Accurate production and comprehension of narrative discourse requires a complex interaction of linguistic, cognitive, and social abilities (Coelho, 1995; Ylvisaker, Szekeres, & Feeney, 2001). The story narrative genre has frequently been studied because it is considered a stereotypical type of discourse due to its formal and predictable framework (Faylor & Lemaire, 1993). Such narratives follow a cognitively based, measurable, structured set of rules called story grammar, which are not dictated by the specific content of the message conveyed (Coelho, 1998; Liles, Duffy, Merritt, & Purcell, 1995; Mandler & Johnson, 1977; Stein & Glenn, 1979). Liles (1985) describes this underlying rule structure in narratives as a “cognitive skeleton” that creates character identities as well as the relational and causal elements that are fundamental to a well-formed story narrative. The production of discourse combines the use of language and cognitive organizational principles permitting investigation of the interaction of these abilities. Thus, discourse analyses are concerned with the entire discourse text and the relationship between its structure and function (i.e., the language itself and organization of the text) (McDonald, 1998). Indeed, discourse has been aptly described as “one of the critical points of intersection between language and cognition” as cognitive rule systems are employed to guide language production (Ylvisaker, Szekeres, & Feeney, 2001, p. 756). It has been suggested that the episode structure of story grammar is one aspect of goal directed thinking and behavior referred to as managerial knowledge (Grafman, 1995; Grafman, 1999). According to Grafman (1995) managerial knowledge should be measurable in a variety of goal directed behaviors such as story grammar or executive functioning. Consistent with this notion are recent findings that have noted modest correlations between discourse production abilities and executive functions (Coelho, 2002; Tucker & Hanlon, 1998). Similarly, interest in age related changes across the life span has led to an increase in the number of investigations of the influence of cognitive performance and ageing on discourse (Chapman et al., 2002 & E ssential ep iso d e co m p o nents 1. Initiating E v e nt(s) 2. A ttem pt(s) 3. D irect C o n se q u e n c e (s) E llab o rativ e n arra tiv e co m p o ne n t e x am ples 1. S etting(s) 2. R e sp o n se (s) 3. P la n (s) R u le B ased M easu rem ent fo r M K U S y stem - S to ry G ram m a r C o nventio ns (M and ler & Jo h nso n 1 9 7 7 , T h o rnd y k e 1 9 7 7 , S tein and G le n n 1 979) M easu rem en t o f p resence o r a b sence o f narrativ e stru ctu re and co m p o nents E p iso d e = T h e b asic essential m inim al u nit o f a n arra tiv e V erb al E F M e a su re s P ro v erb test V erb al flu ency W o rd co ntex t & C ard sorting N o n-V erb al E F M e a su re s T ow er D esig n F luency C ard S orting R u le B ased M easu rem e nt fo r M K U S y stem - E x ecu tiv e F u nctio n s (E F) D elis, K ap lin E F S (2 0 0 1 ) D elis, K ap lan, F enney (2 0 0 1 ) M easu rem ent o f v o litio n, p lanning , p u rp o siv e a ctio n, effectiv e p erfo rm a n c e , rea so nin g , etc. T h eo ry : M anag erial K no w led g e U nit D efinitio n: U nd erly ing m en ta l rep resentatio n fo r g o al d irected : sto ries, p lans, actio ns, fantasies, and th o u g h ts (ad ap ted fro m G rafm an, 1 9 9 5 p . 3 49) Discourse Analysis Procedures 1. Story Retelling condition: participants looked through a picture story book and were instructed to tell a story that would go along with the book.. 2. Story Generation condition: participants looked at a single picture and instructed to tell a story that would go along with that picture. In both conditions, participants were instructed to tell the story as if they were telling it to someone who has never seen the book/ picture before. No time limits were imposed in either task. All stories were recorded, transcribed verbatim, parsed into T-units, and analyzed for story grammar content. Measures : 1. Number of Complete Episodes-an episode consisted of (a) an initiating event that prompts a character to formulate a goal- directed behavior, (b) an action, and (c) a direct consequence marking attainment or non-attainment of the goal. 2. Proportion of T-units Within Episode Structure-this measure was considered to be an indication of participants’ ability to use story grammar as an organizational plan for language. 3. Measures of Executive Function Seven subtests of the Delis-Kaplan Executive Function System (Delis, Kaplan, & Kramer, 2001) were administered to each participant. These subtests were selected because they are known to be sensitive to subtle differences in EF ability and aging. RESULTS Two measures of story narrative performance, number of complete episodes in story generation and proportion of T-units within episode structure in story retelling , were significantly negatively correlated with age, but not participants’ level of education or estimated verbal IQ (see Table 2). These two measures were also significantly correlated with a number of complex EF measures and participants’ motor speed (see Tables 3 & 4) Hierarchical cluster analysis based upon story grammar measures identified three distinct clusters. A Tukey-Kramer test for honestly significant differences between groups (e.g., cluster mean age [Older mean = 72.3 sd = 17.6; Mid mean = 61.7 sd = 26.14; & Young mean 49.5 sd = 22.3] ) indicated the oldest age cluster was significantly different from the youngest age cluster. The intermediate age cluster was not significantly different from either the younger or older age clusters (see Figure 1). Principal components analysis was performed on the correlated discourse and age related variables. Varimax rotation of variables yielded two distinct factors: (1) Output-Fluidity accounting for 39% of the variance, and (2) Organization-Efficiency accounting for 21% of the METHODS Participants Forty-Six neurologically intact adults (age 18-98, mean 56.78, sd 27.7) were recruited for this study. All participants were living independently in their respective communities and reported negative history of neurological and/or psychiatric disorder, substance abuse, and language/learning disability (Table 1). Participants Age N (range) EVIQ Mean (sd) YRSED Mean (sd) Male 5 (18-44.49) 7 (44.5-71.49) 3 (71.5-98) 14.37 (2.29) 16.8(2.68) Female 9 (18-44.49) 11(44.5-71.49) 11 (71.5-98) 12.4 (2.29) 16.03 (2.21) All Mean (sd) 56.78 (27.7) 13.04 (2.44) 16.28 (2.37) Complete Episodes - Retell T-units in Episodes - Retell Complete Episodes - Generation T-units in Episodes- Generation Age r= - .028, p= .85 r = - .34, p= .02* r = - .33, p= .03* r= -.19, p= .22 Yrs. of Educ. r= .11, p= .46 r = - .06, p= .69 r = - .11, p= .42 r= -.17, p= .27 Est.Verb. IQ r= .12, p= .42 r= - .07, p= .65 r = - .07, p= .63 r= -.23, p= .13 Rotated Factor Pattern Output- Performance Organization- Efficiency T-Units in Episode Retell .65 Complete Episode Gen. -.52 Trails- Switching .82 Trails – Motor Speed .83 Design Fluency - Switching -.59 Verbal Fluency - Categories -.70 20?s – Total Asked -.80 Stroop - Inhibition -.90 Complete Episodes Retell T-units in Episodes Retell Complete Episodes Generation T-units in Episodes Generation Design Fluency - Switch r (p) -.12 (.44) .07 (.66) .37* (.01) .10 (.50) Design Fluency -Total r (p) -.13 (.41) -.17 (.26) .07 (.63) .02 (.92) Tower Test r (p) -.11 (.47) -.04 (.79) -.08 (.62) -.11 (.49) Trails - Motor Speed r (p) .02 (.92) -.07 (.66) -.47* (<.01) -.22 (.16) Trails – Number- letter r (p) .11 (.48) -.15 (.34) -.30* (.05) -.16 (.31) Card Sort Total r (p) .03 (.86) .17 (.28) .04 (.80) .08 (.61) Card Sort Recognition r (p) .17 (.28) .29 (.05) .25 (.10) .12 (.44) Card Sort Description r (p) .11 (.49) .09 (.57) .01 (.95) .01 (.95) Complete Episodes Retell T-units in Episodes Retell Complete Episodes Generation T-units in Episodes Generation Verbal Fluency- Category Switch r (p) .27 (.07) .29 (.06) .43* (<.01) .11 (.48) 20?- Total Asked r (p) -.17 (.27) -.22 (.16) -.31* (.04) -.04 (.81) 20?- Weighted Achievement r (p) .10 (.52) .26 (.09) .19 (.22) .08 (.62) Stroop -Inhibition r (p) -.11 (.49) -.39* (<.01) -.24 (.12) -.23 (.14) Table 1: Age, EVIQ, and Years of Education Table 2: Story Grammar and demographic correlations Table 3: Story grammar and linguistic-executive function correlations Table 4: Story grammar and non-linguistic-executive function correlations Figure 1: Story grammar cluster by age Table 5: Factor analysis - story grammar and executive function mea DISCUSSION These findings are consistent with previous investigations of cognitive- linguistic changes in aging which have noted that: discourse changes are more pronounced in the older elderly, the noted discourse changes are present even in well educated elderly, age related changes are more evident on complex tasks, and they occur across a variety of discourse genres (Ulatowska, Cannito, Hayashi, & Fleming, 1985). Specifically, decreased episode production in story generation and inclusion of non-episodic information in story retelling were notably different in the older participants in this study. Story grammar appears to be related equally to measures of linguistic and non-linguistic executive function and may provide a balanced ecologically valid measure of executive ability. Additionally,

Transcript of Influence of Age and Executive Functions on Story Grammar Performance in Adults Michael S....

Page 1: Influence of Age and Executive Functions on Story Grammar Performance in Adults Michael S. Cannizzaro & Carl A. Coelho University of Connecticut, Storrs.

Influence of Age and Executive Functions on Story Grammar Performance in Adults Michael S. Cannizzaro & Carl A. Coelho University of Connecticut, Storrs

Poster presented at the 33rd annual Clinical Aphasiology Conference, May 2003. E-mail [email protected]

INTRODUCTION

Previous investigations of age-related cognitive-linguistic decline have demonstrated the value of studying discourse ability (Chapman, Zientz, Weiner, Rosenberg, Frawley, & Burns, 2002; Glosser & Desser, 1992; Makenzie, 2000; Snow & Douglas, 2000; Ulatowska, Freedman-Stern, Doyel, Macaluso-Haynes, & North, 1983). Discourse can be conceptualized as the related, extended, and meaningful representation of communication across multiple language units (van Dijk & Kintsch, 1983). Accurate production and comprehension of narrative discourse requires a complex interaction of linguistic, cognitive, and social abilities (Coelho, 1995; Ylvisaker, Szekeres, & Feeney, 2001). The story narrative genre has frequently been studied because it is considered a stereotypical type of discourse due to its formal and predictable framework (Faylor & Lemaire, 1993). Such narratives follow a cognitively based, measurable, structured set of rules called story grammar, which are not dictated by the specific content of the message conveyed (Coelho, 1998; Liles, Duffy, Merritt, & Purcell, 1995; Mandler & Johnson, 1977; Stein & Glenn, 1979). Liles (1985) describes this underlying rule structure in narratives as a “cognitive skeleton” that creates character identities as well as the relational and causal elements that are fundamental to a well-formed story narrative. The production of discourse combines the use of language and cognitive organizational principles permitting investigation of the interaction of these abilities. Thus, discourse analyses are concerned with the entire discourse text and the relationship between its structure and function (i.e., the language itself and organization of the text) (McDonald, 1998). Indeed, discourse has been aptly described as “one of the critical points of intersection between language and cognition” as cognitive rule systems are employed to guide language production (Ylvisaker, Szekeres, & Feeney, 2001, p. 756).

It has been suggested that the episode structure of story grammar is one aspect of goal directed thinking and behavior referred to as managerial knowledge (Grafman, 1995; Grafman, 1999). According to Grafman (1995) managerial knowledge should be measurable in a variety of goal directed behaviors such as story grammar or executive functioning. Consistent with this notion are recent findings that have noted modest correlations between discourse production abilities and executive functions (Coelho, 2002; Tucker & Hanlon, 1998).

Similarly, interest in age related changes across the life span has led to an increase in the number of investigations of the influence of cognitive performance and ageing on discourse (Chapman et al., 2002 & Mackenzie, 2000). However, relationships between discourse and theoretically similar goal directed behavior, such as executive functioning, are not well established. The purpose of the present study was to investigate the influence of two factors, aging and executive functioning, on story grammar abilities in a large group of neurologically intact adults. Prior research suggests that age is related to declines in executive functioning (Delis, Kaplan, & Kramer, 2001). It was hypothesized that performance on complex executive functions and narrative story structure would be similarly negatively correlated with advanced age, as both are goal conceptually related aspects of managerial knowledge.

STUDY QUESTIONS1. What is the nature of the relationship between age and story grammar performance?2. Is story grammar performance related to measures of linguistic- and non-linguistic executive functions?3. Do EF measures and story grammar measures demonstrate a unified construct of Managerial knowledge?

E ssentia l ep iso d e co m p o nents1 . Initia ting E vent(s )2 . A ttem p t(s)3 . D irec t C o nseq uence (s)

E llabo ra tive na rra tive co m p o nent ex am p les1 . S e tting (s)2 . R esp o nse (s)3 . P lan (s )

R ule B ased M easurem ent fo r M K U S ystem - S to ry G ram m ar C o nventio ns(M and le r & J o h nso n 1 9 7 7 , T h o rnd yk e 1 9 7 7 , S te in and G lenn 1 9 7 9 )

M easurem ent o f p re sence o r absence o f na rra tive s truc ture and co m p o nentsE p iso d e = T h e bas ic e ssentia l m inim a l unit o f a na rra tive

V erba l E F M easure sP ro ve rb te s t

V e rba l f luencyW o rd co ntex t & C a rd so rting

N o n-V erba l E F M easure sT o w er

D es ig n F luencyC ard S o rting

R ule B ased M easurem ent fo r M K U S ystem - E x ecutive Func tio ns (E F)D e lis , K ap lin E FS (2 0 0 1 )

D e lis , K ap lan, Fenney (2 0 0 1 )M easurem ent o f vo litio n, p lanning , p urp o sive ac tio n, e ffec tive p e rfo rm ance , re a so ning , e tc .

T h eo ry:M anag e ria l K no w led g e U nit

D e finitio n: U nd e rlying m enta l rep re senta tio n fo r g o a l d ire c ted : s to rie s , p lans ,a c tio ns , fanta s ie s , and th o ug h ts (ad ap ted fro m G ra fm an, 1 9 9 5 p . 3 4 9 )

Discourse Analysis Procedures1. Story Retelling condition: participants looked through a picture story book and were instructed to tell a

story that would go along with the book.. 2. Story Generation condition: participants looked at a single picture and instructed to tell a story that

would go along with that picture.In both conditions, participants were instructed to tell the story as if they were telling it to someone who has never seen the book/ picture before. No time limits were imposed in either task. All stories were recorded, transcribed verbatim, parsed into T-units, and analyzed for story grammar content.

Measures:1. Number of Complete Episodes-an episode consisted of (a) an initiating event that prompts a character

to formulate a goal-directed behavior, (b) an action, and (c) a direct consequence marking attainment or non-attainment of the goal.

2. Proportion of T-units Within Episode Structure-this measure was considered to be an indication of participants’ ability to use story grammar as an organizational plan for language.

3. Measures of Executive FunctionSeven subtests of the Delis-Kaplan Executive Function System (Delis, Kaplan, & Kramer, 2001)

were administered to each participant. These subtests were selected because they are known to be sensitive to subtle differences in EF ability and aging.

RESULTSTwo measures of story narrative performance, number of complete episodes in story generation and proportion of T-units within episode structure in story retelling, were significantly negatively correlated with age, but not participants’ level of education or estimated verbal IQ (see Table 2). These two measures were also significantly correlated with a number of complex EF measures and participants’ motor speed (see Tables 3 & 4)

Hierarchical cluster analysis based upon story grammar measures identified three distinct clusters. A Tukey-Kramer test for honestly significant differences between groups (e.g., cluster mean age [Older mean = 72.3 sd = 17.6; Mid mean = 61.7 sd = 26.14; & Young mean 49.5 sd = 22.3] ) indicated the oldest age cluster was significantly different from the youngest age cluster. The intermediate age cluster was not significantly different from either the younger or older age clusters (see Figure 1).

Principal components analysis was performed on the correlated discourse and age related variables. Varimax rotation of variables yielded two distinct factors: (1) Output-Fluidity accounting for 39% of the variance, and (2) Organization-Efficiency accounting for 21% of the variance. Greater than 60% of the variance explained overall was accounted for by these two factors. (see Table 5).

METHODSParticipantsForty-Six neurologically intact adults (age 18-98, mean 56.78, sd 27.7) were recruited for this study. All participants were living independently in their respective communities and reported negative history of neurological and/or psychiatric disorder, substance abuse, and language/learning disability (Table 1).

Participants Age N (range)

EVIQ Mean (sd)

YRSEDMean (sd)

Male 5 (18-44.49) 7 (44.5-71.49) 3 (71.5-98)

14.37 (2.29) 16.8(2.68)

Female 9 (18-44.49) 11(44.5-71.49) 11 (71.5-98)

12.4 (2.29) 16.03 (2.21)

All Mean (sd) 56.78 (27.7)

13.04 (2.44) 16.28 (2.37)

Complete Episodes - Retell

T-units in Episodes - Retell

Complete Episodes - Generation

T-units in Episodes- Generation

Age r= - .028, p= .85 r = - .34, p= .02* r = - .33, p= .03* r= -.19, p= .22

Yrs. of Educ. r= .11, p= .46 r = - .06, p= .69 r = - .11, p= .42 r= -.17, p= .27

Est.Verb. IQ r= .12, p= .42 r= - .07, p= .65 r = - .07, p= .63 r= -.23, p= .13

Rotated Factor Pattern Output-Performance Organization-Efficiency

T-Units in Episode Retell   .65

Complete Episode Gen. -.52  

Trails- Switching .82  

Trails – Motor Speed .83  

Design Fluency - Switching -.59  

Verbal Fluency - Categories -.70  

20?s – Total Asked -.80  

Stroop - Inhibition   -.90

    Complete Episodes Retell

T-units in Episodes Retell

Complete Episodes Generation

T-units in EpisodesGeneration

Design Fluency -Switch r (p) -.12 (.44) .07 (.66) .37* (.01) .10 (.50)

Design Fluency -Total r (p) -.13 (.41) -.17 (.26) .07 (.63) .02 (.92)

Tower Test r (p) -.11 (.47) -.04 (.79) -.08 (.62) -.11 (.49)

Trails - Motor Speed r (p) .02 (.92) -.07 (.66) -.47* (<.01) -.22 (.16)

Trails – Number-letter r (p) .11 (.48) -.15 (.34) -.30* (.05) -.16 (.31)

Card Sort Total r (p) .03 (.86) .17 (.28) .04 (.80) .08 (.61)

Card Sort Recognition r (p) .17 (.28) .29 (.05) .25 (.10) .12 (.44)

Card Sort Description r (p) .11 (.49) .09 (.57) .01 (.95) .01 (.95)

    Complete Episodes Retell

T-units in Episodes Retell

Complete Episodes Generation

T-units in EpisodesGeneration

Verbal Fluency-Category Switch

r (p) .27 (.07) .29 (.06) .43* (<.01) .11 (.48)

20?- Total Asked r (p) -.17 (.27) -.22 (.16) -.31* (.04) -.04 (.81)

20?- Weighted Achievement r (p) .10 (.52) .26 (.09) .19 (.22) .08 (.62)

Stroop -Inhibition r (p) -.11 (.49) -.39* (<.01) -.24 (.12) -.23 (.14)

Table 1: Age, EVIQ, and Years of Education

Table 2: Story Grammar and demographic correlations

Table 3: Story grammar and linguistic-executive function correlations

Table 4: Story grammar and non-linguistic-executive function correlations

Figure 1: Story grammar cluster by age

Table 5: Factor analysis - story grammar and executive function measures

DISCUSSIONThese findings are consistent with previous investigations of cognitive-linguistic changes in aging which have noted that: discourse changes are more pronounced in the older elderly, the noted discourse changes are present even in well educated elderly, age related changes are more evident on complex tasks, and they occur across a variety of discourse genres (Ulatowska, Cannito, Hayashi, & Fleming, 1985). Specifically, decreased episode production in story generation and inclusion of non-episodic information in story retelling were notably different in the older participants in this study. Story grammar appears to be related equally to measures of linguistic and non-linguistic executive function and may provide a balanced ecologically valid measure of executive ability. Additionally, profiles of narrative performance (e.g., cluster analysis) may provide a more appropriate benchmark of elderly performance when assessing and treating older adults with cognitive-communicative deficits.