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1.
J Neuropsychiatry Clin Neurosci ; : appineuropsych20230119, 2024 Jul 11.
Article in English | MEDLINE | ID: mdl-38988190

ABSTRACT

OBJECTIVE: The authors examined the interaction between apolipoprotein E (APOE) ε4 and brain-derived neurotrophic factor (BDNF) Val66Met alleles on neuropsychological functioning among veterans with histories of mild traumatic brain injury (mTBI). METHODS: Participants were 78 veterans with mTBI (85% males; mean±SD age=32.95±7.00 years; mean time since injury=67.97±34.98 months) who completed a structured clinical interview and underwent a comprehensive neuropsychological assessment. Participants also provided a buccal swab for determination of their APOE and BDNF genotypes. Three cognitive composite scores were calculated from the neuropsychological assessment, reflecting visuospatial speed (seven variables), executive functioning (10 variables), and memory (eight variables). Two-way analyses of covariance (ANCOVAs) adjusted for age, sex, and race-ethnicity were used to assess the effects of APOE (ε4+ vs. ε4-) and BDNF (Met+ vs. Met-) on cognitive functioning. RESULTS: ANCOVAs revealed no significant main effects of APOE or BDNF genotypes on cognitive functioning; however, there was a significant APOE-by-BDNF genotype interaction for all three cognitive composite measures (visuospatial speed: ηp2=0.055; executive functioning: ηp2=0.064; and memory: ηp2=0.068). Specifically, the ε4+/Met+ (N=8) subgroup demonstrated the poorest cognitive functioning relative to all other allele subgroups (ε4+/Met-: N=12, ε4-/Met+: N=23, and ε4-/Met-: N=35). CONCLUSIONS: This exploratory study is the first to show that, compared with other allele subgroups assessed, veterans with both ε4 and Met alleles demonstrated the poorest cognitive functioning across several cognitive domains known to be negatively affected in the context of mTBI. Further research with larger sample sizes is needed to replicate these findings.

2.
J Clin Exp Neuropsychol ; : 1-12, 2024 May 08.
Article in English | MEDLINE | ID: mdl-38717052

ABSTRACT

OBJECTIVE: Identifying factors that moderate cognitive outcomes following mild traumatic brain injury (mTBI) is crucial. Prospective memory (PM) is a cognitive domain of interest in mTBI recovery as it may be especially sensitive to TBI-related changes. Since studies show that genetic status - particularly possession of the apolipoprotein E (APOE) ε4 allele - can modify PM performance, we investigated associations between mTBI status and APOE-ε4 genotype on PM performance in a well-characterized sample of Veterans with neurotrauma histories. METHODS: 59 Veterans (mTBI = 33, Military Controls [MCs] = 26; age range: 24-50; average years post-injury = 10.41) underwent a structured clinical interview, neuropsychological assessment, and genotyping. The Memory for Intentions Test (MIST) measured PM across multiple subscales. ANCOVAs, adjusting for age and posttraumatic stress symptoms, tested the effects of mTBI status (mTBI vs. MC) and ε4 status (ε4+ vs. ε4-) on MIST scores. RESULTS: Veterans with mTBI history performed more poorly compared to MCs on the MIST 15-min delay (p=.002, ηp2 =.160), Time Cue (p = .003, ηp2 =.157), and PM Total (p = .016, ηp2 =.102). Those with at least one copy of the ε4 allele performed more poorly compared to ε4- Veterans on the MIST 15-min delay (p = .011, ηp2 =.113) and PM Total (p = .048, ηp2 = .071). No significant interactions were observed between mTBI and APOE-ε4 status on MIST outcomes (ps>.25). Within the mTBI group, APOE-ε4+ Veterans performed worse than APOE-ε4- Veterans on the MIST 15-min delay subscale (p = .031, ηp2 = .150). CONCLUSIONS: mTBI history and APOE-ε4 genotype status were independently associated with worse PM performance compared to those without head injury histories or possession of the APOE-e4 genotype. Performance on the MIST 15-min delay was worse in Veterans with both risk factors (mTBI history and APOE-ε4 positivity). Findings suggest that genetic status may modify outcomes even in relatively young Veterans with mTBI histories. Future research examining longitudinal associations and links to neuroimaging and biomarker data are needed.

3.
J Int Neuropsychol Soc ; 30(5): 439-447, 2024 06.
Article in English | MEDLINE | ID: mdl-38263745

ABSTRACT

OBJECTIVE: Neuropsychological criteria for mild cognitive impairment (MCI) more accurately predict progression to Alzheimer's disease (AD) and are more strongly associated with AD biomarkers and neuroimaging profiles than ADNI criteria. However, research to date has been conducted in relatively healthy samples with few comorbidities. Given that history of traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD) are risk factors for AD and common in Veterans, we compared neuropsychological, typical (Petersen/Winblad), and ADNI criteria for MCI in Vietnam-era Veterans with histories of TBI or PTSD. METHOD: 267 Veterans (mean age = 69.8) from the DOD-ADNI study were evaluated for MCI using neuropsychological, typical, and ADNI criteria. Linear regressions adjusting for age and education assessed associations between MCI status and AD biomarker levels (cerebrospinal fluid [CSF] p-tau181, t-tau, and Aß42) by diagnostic criteria. Logistic regressions adjusting for age and education assessed the effects of TBI severity and PTSD symptom severity simultaneously on MCI classification by each criteria. RESULTS: Agreement between criteria was poor. Neuropsychological criteria identified more Veterans with MCI than typical or ADNI criteria, and were associated with higher CSF p-tau181 and t-tau. Typical and ADNI criteria were not associated with CSF biomarkers. PTSD symptom severity predicted MCI diagnosis by neuropsychological and ADNI criteria. History of moderate/severe TBI predicted MCI by typical and ADNI criteria. CONCLUSIONS: MCI diagnosis using sensitive neuropsychological criteria is more strongly associated with AD biomarkers than conventional diagnostic methods. MCI diagnostics in Veterans would benefit from incorporation of comprehensive neuropsychological methods and consideration of the impact of PTSD.


Subject(s)
Cognitive Dysfunction , Neuropsychological Tests , Stress Disorders, Post-Traumatic , Veterans , Vietnam Conflict , tau Proteins , Humans , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/etiology , Male , Aged , Middle Aged , Stress Disorders, Post-Traumatic/diagnosis , Stress Disorders, Post-Traumatic/epidemiology , Neuropsychological Tests/standards , tau Proteins/cerebrospinal fluid , Female , Amyloid beta-Peptides/cerebrospinal fluid , Biomarkers/cerebrospinal fluid , Brain Injuries, Traumatic/complications , Brain Injuries, Traumatic/diagnosis , Alzheimer Disease/diagnosis , Alzheimer Disease/cerebrospinal fluid , Peptide Fragments/cerebrospinal fluid , Peptide Fragments/blood , Aged, 80 and over
4.
Appl Neuropsychol Adult ; : 1-6, 2023 Dec 19.
Article in English | MEDLINE | ID: mdl-38113857

ABSTRACT

OBJECTIVE: To examine relationships between performance validity testing (PVT), neurobehavioral symptom endorsement, and symptom attribution in Veterans with a history of mild traumatic brain injury (mTBI). METHOD: Participants included treatment-seeking Veterans (n = 37) with remote mTBI histories who underwent a neuropsychological assessment and completed a modified version of the Neurobehavioral Symptom Inventory (NSI) to assess symptom endorsement and symptom attribution (the latter evaluated by having Veterans indicate whether they believed each NSI symptom was caused by their mTBI). Veterans were divided into two subgroups, PVT-Valid (n = 25) and PVT-Invalid (n = 12). RESULTS: Independent samples t-tests showed that two of five symptom endorsement variables and all five symptom attribution variables were significantly different between PVT groups (PVT-Invalid > PVT-Valid; Cohen's d = 0.67-1.02). Logistic regression analyses adjusting for PTSD symptoms showed that symptom endorsement (Nagelkerke's R2 = .233) and symptom attribution (Nagelkerke's R2 = .279) significantly distinguished between PVT groups. According to the Wald criterion, greater symptom endorsement (OR = 1.09) and higher attribution of symptoms to mTBI (OR = 1.21) each reliably predicted PVT-failure. CONCLUSIONS: While both symptom endorsement and symptom attribution were significantly associated with PVT-failure, our preliminary results suggest that symptom attribution is a stronger predictor of PVT-failure. Results highlight the importance of assessing symptom attribution to mTBI in this population.

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