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Record W2268258510

The Nova Multilingual Neuropsychological Battery: Traumatic Brain Injury Pilot Study

2010· article· en· W2268258510 on OpenAlexaboutno aff
Maritza Jeannette Figueroa

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2010
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsNova (rocket)Traumatic brain injuryNeuropsychologyNova scotiaPsychologyBattery (electricity)PsychiatryCognitionEngineeringAeronauticsGeographyPhysicsPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the current study was to determine if the Nova Multilingual Neuropsychological Battery (NMNB) can detect neurological deficits in the traumatic brained injured (TBI) Hispanic sample by comparing subtest mean scores to the normal group mean scores. The NMNB is comprised of 39 subtests and was developed to account for language and cultural factors thought to influence neuropsychological test results. It was hypothesized that significant differences would be found in NMNB measures sensitive to brain damage. A sample size of 100 English-Spanish speaking bilinguals (50 TBI and 50 cognitively intact participants) was tested in Spanish in order to compare cognitive performance across the various NMNB measures. Due to the number of comparisons, the alpha level for this study was set to .01 to reduce Type I error. Results of the ANCOVA's partially supported the hypothesis after controlling for age and education. Findings show that the NMNB measures were able to successfully detect the TBI Spanish group from the normal Spanish group. Significant differences were displayed in the tests measuring nonverbal abilities, memory and learning, visual spatial skills, and executive functioning. More specifically, no significant differences were displayed in the tests measuring crystallized premorbid abilities, while tests measuring more fluid abilities detected problems with abstract thinking and information processing in the TBI sample. A similar deficit pattern was displayed across all measures of higher functioning systems. Deficits were detected in the nonverbal measures that involved complex attention (selective, divided, and alternating forms of attention) and concentration for visuospatial tasks, pattern synthesis and manipulation, but not for simple visuospatial attentional activities. Significant differences were found in motor speed, but not in the number of errors. These findings support previous research indicating that Hispanics tend to favor accuracy over speed. Additionally, results reveal significant differences across all memory measures. Using Cohen's d, large effect sizes were displayed between the groups ranging from 1.5 to 2.3 in the verbal and visual memory measures. Similar effect sizes were also displayed in tests of executive functioning. Preliminary data of this study suggests that the NMNB may be a sound assessment tool for detecting neurological impairments in TBIs. Collectively, the NMNB displayed significant differences in motor and processing speed, memory, visuospatial tasks, and executive functioning commonly documented in non-Hispanic TBIs. This study concluded that culturally sensitive neuropsychological tests that also control for demographic variables such as age and education can provide accurate results for Hispanics with TBI. However, these results should be interpreted with caution as this study was limited to a small sample size with an unequal proportion of TBI severity levels and educational experiences beyond educational levels. Future studies should focus on obtaining larger samples with varying TBI severity levels. Samples should also include bilingual Hispanics tested in English as well as monolingual Spanish speakers in order to develop profiles that may be useful in differential diagnosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.131
GPT teacher head0.357
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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