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Datasets of Neuropsychological Language Tests in Brazilian Portuguese (DNLT-BP)

Data from these datasets were collected from participants in clinical or academic studies and research, by reading and signing the Informed Consent Form, and the research was evaluated and approved by the Research Ethics Committees of the institutions to which they are linked. It is stated that the datasets containing the participants' data are being made available with full confidentiality of the participants' identity, not containing their names or document numbers, or any other information that allows their individual identification does not guarantee the confidentiality of the participants' identity. These datasets are for the sole and exclusive purpose of serving as a source for research and / or academic studies, for clinical purposes or the like, and their use is explicitly prohibited for purposes other than those specified herein, other purposes than those specified herein. not these, under penalty of applying the punishments provided for by law. The user of the data contained herein represents knowledge and agreement with these conditions, under penalty of liability and application of penalties provided by law. Therefore, its use by third parties can only be done for the same purposes, which are research and clinical, and other purpose is improper (License CC-BY-SA-NC).

The Wallet Story from ABCD (Arizona Battery for Communication Disorders)

ABCD is a standardized test battery for the comprehensive assessment and screening of dementia. It includes 17 subtests that evaluate linguistic expression, linguistic comprehension, verbal episodic memory via immediate/delayed recall of stories, visuospatial construction, and mental status.

The subtest which is important for our study is the evaluation of the episodic memory, which is composed of the immediate and late retelling of a memorized story, the Wallet Story. This story was translated and adapted to Brazilian Portuguese by Danielle Rüegg, Isabel Maranhão de Carvalho, Leticia Lessa Mansur and Márcia Radanovic, and was applied and collected by the team coordinated by Professor Leticia Lessa Mansur at the University of São Paulo Medical School to 23 elders with MCI and 12 healthy aging adults; totaling 70 narratives. This test has 17 units of information, with possible alternatives, with 17 being its maximum score. The Table below shows the demographics of the Wallet Story dataset.

SamplesGroupAgeYears of EducationMM TotalACE-R Total
0_immediately_Wallet.txt and 0_delayed_Wallet.txtMCI7216
1_immediately_Wallet.txt and 1_delayed_Wallet.txtMCI7911
2_immediately_Wallet.txt and 2_delayed_Wallet.txtMCI
3_immediately_Wallet.txt and 3_delayed_Wallet.txtMCI
4_immediately_Wallet.txt and 4_delayed_Wallet.txtMCI7415
5_immediately_Wallet.txt and 5_delayed_Wallet.txtMCI
6_immediately_Wallet.txt and 6_delayed_Wallet.txtMCI68172988
7_immediately_Wallet.txt and 7_delayed_Wallet.txtMCI7512
8_immediately_Wallet.txt and 8_delayed_Wallet.txtMCI
9_immediately_Wallet.txt and 9_delayed_Wallet.txtMCI69729
10_immediately_Wallet.txt and 10_delayed_Wallet.txtMCI6320
12_immediately_Wallet.txt and 12_delayed_Wallet.txtMCI6717
13_immediately_Wallet.txt and 13_delayed_Wallet.txtMCI8919
14_immediately_Wallet.txt and 14_delayed_Wallet.txtMCI
15_immediately_Wallet.txt and 15_delayed_Wallet.txtMCI6312
16_immediately_Wallet.txt and 16_delayed_Wallet.txtMCI7311
17_immediately_Wallet.txt and 17_delayed_Wallet.txtMCI8214
18_immediately_Wallet.txt and 18_delayed_Wallet.txtMCI8511
19_immediately_Wallet.txt and 19_delayed_Wallet.txtMCI
20_immediately_Wallet.txt and 20_delayed_Wallet.txtMCI7216
21_immediately_Wallet.txt and 21_delayed_Wallet.txtMCI
22_immediately_Wallet.txt and 22_delayed_Wallet.txtMCI708
23_immediately_Wallet.txt and 23_delayed_Wallet.txtControl59243096
24_immediately_Wallet.txt and 24_delayed_Wallet.txtControl66182689
25_immediately_Wallet.txt and 25_delayed_Wallet.txtControl
26_immediately_Wallet.txt and 26_delayed_Wallet.txtControl63292881
27_immediately_Wallet.txt and 27_delayed_Wallet.txtControl60162993
28_immediately_Wallet.txt and 28_delayed_Wallet.txtControl60122782
29_immediately_Wallet.txt and 29_delayed_Wallet.txtControl61162896
30_immediately_Wallet.txt and 30_delayed_Wallet.txtControl69212890
31_immediately_Wallet.txt and 31_delayed_Wallet.txtControl65112581
32_immediately_Wallet.txt and 32_delayed_Wallet.txtControl
33_immediately_Wallet.txt and 33_delayed_Wallet.txtControl55112981
34_immediately_Wallet.txt and 34_delayed_Wallet.txtControl

The Cinderella Dataset

The Cinderella dataset consists of spontaneous speech narratives produced during a test to elicit narrative discourse with visual stimuli, using a book composed of sequenced pictures based on the Cinderella Story. In the test, an individual verbally tells the story to the examiner based on the pictures. The narrative is manually transcribed by a trained annotator who scores the narrative by counting the number of recalled propositions/units of information; there are 28 informational units to be recalled, presented in 23 pictures. This dataset consists of 60 narratives from Brazilian Portuguese speakers (20 controls, 20 with AD, and 20 with amnestic MCI (aMCI)), diagnosed at the University of São Paulo Medical School. It was applied and collected by the team coordinated by Professor Leticia Lessa Mansur at the University of São Paulo Medical School. The Table below shows the demographics of the Cinderella Dataset.

SamplesGroupAgeYears of EducationMEEMGender
9_Cinderella.txtAD80821F
2_Cinderella.txtAD78321M
4_Cinderella.txtAD78324M
3_Cinderella.txtAD72418F
16_Cinderella.txtAD68824F
13_Cinderella.txtAD79824F
19_Cinderella.txtAD821722M
15_Cinderella.txtAD72420M
17_Cinderella.txtAD78721M
7_Cinderella.txtAD83420F
14_Cinderella.txtAD862029M
0_Cinderella.txtAD861226M
12_Cinderella.txtAD761621M
1_Cinderella.txtAD771527M
10_Cinderella.txtAD76425F
8_Cinderella.txtAD81427M
11_Cinderella.txtAD70420F
5_Cinderella.txtAD761221F
18_Cinderella.txtAD801528M
6_Cinderella.txtAD85420F
37_Cinderella.txtMCI631127F
39_Cinderella.txtMCI76827F
22_Cinderella.txtMCI661528M
38_Cinderella.txtMCI72527F
25_Cinderella.txtMCI811627M
20_Cinderella.txtMCI721229F
23_Cinderella.txtMCI67428F
33_Cinderella.txtMCI75629F
36_Cinderella.txtMCI661530F
31_Cinderella.txtMCI67628F
21_Cinderella.txtMCI811629M
34_Cinderella.txtMCI802029F
28_Cinderella.txtMCI791129F
26_Cinderella.txtMCI70829F
30_Cinderella.txtMCI831130M
27_Cinderella.txtMCI711226F
32_Cinderella.txtMCI771229M
29_Cinderella.txtMCI741529M
35_Cinderella.txtMCI77527F
24_Cinderella.txtMCI68828F
52_Cinderella.txtControl801129F
42_Cinderella.txtControl641530F
56_Cinderella.txtControl721130F
58_Cinderella.txtControl611530M
49_Cinderella.txtControl951429F
40_Cinderella.txtControl83629M
44_Cinderella.txtControl83730M
41_Cinderella.txtControl761130M
45_Cinderella.txtControl661230F
43_Cinderella.txtControl671530M
50_Cinderella.txtControl921128F
57_Cinderella.txtControl721130F
55_Cinderella.txtControl721229F
54_Cinderella.txtControl621128F
47_Cinderella.txtControl621530F
51_Cinderella.txtControl851530F
48_Cinderella.txtControl661123F
59_Cinderella.txtControl92628F
53_Cinderella.txtControl611130F
46_Cinderella.txtControl851429F

The Dog Story and Lucia Story Datasets from BALE

BALE (Battery of Language Assessment in Aging) is a standardized battery with norms for the healthy elders Brazilian population illiterate, with low (2 to 8 years of schooling) and high (9 years or more) education, from 60 to 90 years old. BALE provides the academy and clinic with standardized and validated tasks, filling an important gap in terms of tasks validated for Brazilian Portuguese, specially at the discourse level. It was conceived by adaptation of other tasks, according to psycholinguistic criteria, including imageability, frequency, animability, extension, among others, such as cultural issues. It consists of 10 linguistic tasks, assessing from the word level, in the naming task, for example, to the discourse level. One of its differentials is to evaluate discourse in four types of narrative texts, especially at the production level, but with the implicit textual comprehension as well. This battery was chosen because its aim is to allow for its administration to elder people who are illiterate and/or of low educational level, who represent the majority of the aged sample assisted by the public health system in Brazil.

The Dog Story and Lucia Story are two of the four narrative texts from the BALE instrument. The Dog Story dataset is composed of transcriptions from the oral narrative production test based on the presentation of a set of seven pictures telling a story of a boy who hides a dog that he found on the street. This dataset consists of 106 narrative texts from Brazilian Portuguese speakers, where there are 82 healthy aging adults, 12 with AD, and 12 with MCI. BALE also includes a task of retelling and text comprehension of an orally presented story called Lucia Story. This test has 24 units of information, with possible alternatives, with 24 being its maximum score. This retelling test was applied to 9 Alzheimer's individuals and 80 healthy aging adults.

The Table below shows the demographics of the Dog Story dataset.

SampleGroupAgeYears of EducationCDRAmnésticMultiple DomainsGender
14_Dog.txtMCI71180.5YNM
18_Dog.txtMCI72120.5YNF
12_Dog.txtMCI8100.5NYF
19_Dog.txtMCI6640.5NYM
15_Dog.txtMCI6460.5YNF
21_Dog.txtMCI5740.5YNM
13_Dog.txtMCI8080.5YNF
22_Dog.txtMCI8140.5YNM
20_Dog.txtMCI8220.5YNF
16_Dog.txtMCI6830.5YNF
17_Dog.txtMCI7140.5NYM
23_Dog.txtMCI7430.5YNF
10_Dog.txtAD5911F
7_Dog.txtAD6511F
1_Dog.txtAD7301F
8_Dog.txtAD6011F
2_Dog.txtAD8061F
6_Dog.txtAD8141F
0_Dog.txtAD6881F
3_Dog.txtAD6931F
11_Dog.txtAD8141M
4_Dog.txtAD7961F
9_Dog.txtAD7451M
5_Dog.txtAD6751M
90_Dog.txtControl6716F
70_Dog.txtControl65132F
32_Dog.txtControl64172F
99_Dog.txtControl69162F
31_Dog.txtControl72112F
77_Dog.txtControl679F
64_Dog.txtControl74172F
56_Dog.txtControl70162F
84_Dog.txtControl71122F
51_Dog.txtControl61162F
36_Dog.txtControl67102F
96_Dog.txtControl73141F
86_Dog.txtControl73162F
55_Dog.txtControl60182F
52_Dog.txtControl76122F
49_Dog.txtControl65182F
87_Dog.txtControl60182F
45_Dog.txtControl60122F
76_Dog.txtControl61162F
82_Dog.txtControl65161F
25_Dog.txtControl68162F
43_Dog.txtControl77162F
42_Dog.txtControl70152F
79_Dog.txtControl60162F
91_Dog.txtControl67122F
80_Dog.txtControl76112F
59_Dog.txtControl66122F
58_Dog.txtControl7792F
60_Dog.txtControl6092F
34_Dog.txtControl73182F
69_Dog.txtControl66182F
85_Dog.txtControl69162F
94_Dog.txtControl75162F
72_Dog.txtControl72192F
68_Dog.txtControl72162F
26_Dog.txtControl69122F
61_Dog.txtControl65182F
100_Dog.txtControl60162F
38_Dog.txtControl74162F
46_Dog.txtControl68122F
92_Dog.txtControl61172F
63_Dog.txtControl65182F
104_Dog.txtControl74111F
65_Dog.txtControl68132F
37_Dog.txtControl70162F
67_Dog.txtControl62152F
28_Dog.txtControl63161F
105_Dog.txtControl72121F
88_Dog.txtControl6301F
75_Dog.txtControl7952F
62_Dog.txtControl7582F
98_Dog.txtControl7382F
101_Dog.txtControl7242F
102_Dog.txtControl6782F
89_Dog.txtControl6362F
103_Dog.txtControl7651F
97_Dog.txtControl6251F
35_Dog.txtControl6662F
27_Dog.txtControl7482F
93_Dog.txtControl7282F
54_Dog.txtControl6252F
44_Dog.txtControl7262F
33_Dog.txtControl7232F
57_Dog.txtControl6982F
95_Dog.txtControl7681F
73_Dog.txtControl6371F
41_Dog.txtControl7651F
83_Dog.txtControl7062F
48_Dog.txtControl7252F
71_Dog.txtControl7581F
66_Dog.txtControl7631F
40_Dog.txtControl6031F
30_Dog.txtControl6562F
78_Dog.txtControl7432F
74_Dog.txtControl6042F
53_Dog.txtControl7422F
39_Dog.txtControl7332F
50_Dog.txtControl6851F
47_Dog.txtControl8032F
29_Dog.txtControl6752F
81_Dog.txtControl6072F
24_Dog.txtControl6742F

The Table below shows the demographics of the Lucia Story dataset.

SampleGroupAgeYears of EducationGenderCDR
66_LUCIA.txtControl7016F
35_LUCIA.txtControl779F
36_LUCIA.txtControl7316F
86_LUCIA.txtControl6813F
83_LUCIA.txtControl7211F
72_LUCIA.txtControl6516M
9_LUCIA.txtControl6916F
18_LUCIA.txtControl729F
12_LUCIA.txtControl6716M
30_LUCIA.txtControl6518M
34_LUCIA.txtControl7612F
32_LUCIA.txtControl8019F
52_LUCIA.txtControl7112F
43_LUCIA.txtControl7316F
51_LUCIA.txtControl7318F
40_LUCIA.txtControl6916F
27_LUCIA.txtControl6518F
70_LUCIA.txtControl7417F
42_LUCIA.txtControl6617F
15_LUCIA.txtControl679F
56_LUCIA.txtControl7814F
19_LUCIA.txtControl7314M
84_LUCIA.txtControl7616M
29_LUCIA.txtControl6912M
25_LUCIA.txtControl7219F
55_LUCIA.txtControl7016F
77_LUCIA.txtControl6816F
78_LUCIA.txtControl7611F
29_LUCIA.txtControl6912M
85_LUCIA.txtControl7015F
10_LUCIA.txtControl7216F
69_LUCIA.txtControl6512M
48_LUCIA.txtControl6518F
20_LUCIA.txtControl6912F
63_LUCIA.txtControl7716F
46_LUCIA.txtControl7616F
16_LUCIA.txtControl6618F
38_LUCIA.txtControl7816F
59_LUCIA.txtControl7516M
22_LUCIA.txtControl6914F
69_LUCIA.txtControl6512M
65_LUCIA.txtControl675M
37_LUCIA.txtControl706F
80_LUCIA.txtControl723F
39_LUCIA.txtControl734F
64_LUCIA.txtControl673M
33_LUCIA.txtControl723F
50_LUCIA.txtControl733M
58_LUCIA.txtControl684F
28_LUCIA.txtControl755F
71_LUCIA.txtControl698F
23_LUCIA.txtControl718F
28_LUCIA.txtControl755F
79_LUCIA.txtControl734F
13_LUCIA.txtControl656F
67_LUCIA.txtControl674F
81_LUCIA.txtControl754F
49_LUCIA.txtControl635F
26_LUCIA.txtControl758F
21_LUCIA.txtControl768M
60_LUCIA.txtControl702F
76_LUCIA.txtControl745F
24_LUCIA.txtControl803F
61_LUCIA.txtControl728F
47_LUCIA.txtControl748F
62_LUCIA.txtControl797M
68_LUCIA.txtControl803F
74_LUCIA.txtControl684F
44_LUCIA.txtControl666F
53_LUCIA.txtControl743F
41_LUCIA.txtControl685M
17_LUCIA.txtControl684F
57_LUCIA.txtControl688F
75_LUCIA.txtControl792F
14_LUCIA.txtControl828F
23_LUCIA.txtControl718F
44_LUCIA.txtControl666F
31_LUCIA.txtControl763F
41_LUCIA.txtControl685M
73_LUCIA.txtControl737M
45_LUCIA.txtControl742F
87_LUCIA.txtControl765M
88_LUCIA.txtControl738F
82_LUCIA.txtControl795F
54_LUCIA.txtControl725M
7_LUCIA.txtAD784F1
3_LUCIA.txtAD745M1
2_LUCIA.txtAD798F1
6_LUCIA.txtAD768F1
5_LUCIA.txtAD688F1
0_LUCIA.txtAD814M1
1_LUCIA.txtAD818F1
8_LUCIA.txtAD798M1
4_LUCIA.txtAD734M1

Both datasets were collected by the team coordinated by Professor Dr. Lilian Cristine Hübner of the School of Humanities of the Pontifical Catholic University (PUC) of Rio Grande do Sul, PUCRS.