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93 Digitized Trail Making Test in the NKI-Rockland Sample Normative Lifespan Neuroimaging Study
- Anna MacKay-Brandt, Nadine Schwab, Irene Piryatinksy, Maxine Krengel, Malvina Pietrzykowski, Dave Gansler, Andrea Suazo Rivas, Alyssa DiFalco, Stan Colcombe
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 768-769
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Objective:
Digitized cognitive assessment captures rich behavioral information that remains unmeasured using conventional methods. Data capture tools recently accessible only in specialized laboratories are now feasible at scale using off-the-shelf tablet devices. This study aims to share data from a digitized cognitive assessment embedded in an open-science research program collecting extensive neuroimaging, health, behavioral, neuropsychological, and psychiatric characterizations to advance translational cognitive neuroscience. In this research we present normative performance metrics from a digital version of the Trail Making Test.
Participants and Methods:The NKI-Rockland Sample (NKI-RS) has provided a model for openly-shared lifespan normative neuroimaging resources contributed by a community-ascertained sample (n=1,500, aged 6-85) and generating over 400 publications across diverse research areas. The next generation NKI-RS study (recruitment target= 600, aged 9-75) aims to enrich these resources for brain-behavioral research, normative reference, and biomarker discovery. One focus of innovation is the inclusion of digitized cognitive assessments (DCAs) utilizing an open-resource task development and data collection platform (Mindlogger, Child Mind Institute). We present preliminary data from a digitized version of the Trail Making Tests and report early descriptive metrics. The TMTs was administered via an iPad Pro using an Apple pen as part of a laboratory-based EEG procedure. The TMTs follows standard administration instructions, including a practice sample before each test condition. Error feedback is included in the task implementation such that an incorrect connection is marked with an “x” and the participant is directed to the last correct circle to continue. Feedback is automated within the task. Pixel-level spatial resolution and millisecond timing is captured across all drawing tasks. Task design, implementation, and preliminary performance metrics including speed, accuracy, and variability are reported.
Results:Preliminary data include 12 participants from the NKI-RS2 study ranging in age from 11-75 years (M= 52.83, SD= 19.97); 67% female. Overall participants took longer to complete condition B (Mb = 51.71 secs) compared to condition A (Ma = 23.07 secs), p= 0.0005. Connections were made more slowly (Ma = 37.47 secs vs. Mb = 24.50 secs, p< 0.001) and connection speed was more variable (CVa = 0.90 vs. CVb = 1.22, p< 0.01) on condition B versus A. Connection speed decreased and speed variability increased with age (t[11 ]= -3.25, p= 0.05, t[11]= -3.63, p< 0.01, respectively). Time spent within circles (dwell time) was significantly greater in B versus A (t[11]= 6.81, p< 0.001). Number of errors were limited (MA = .89 and MB = 1.0, range 0-2 in both tests) with no difference between tests or effects of age (both ps >0.05).
Conclusions:These preliminary data from the NKI-RS2 normative neuroimaging study demonstrate that a digitized version of a classic neuropsychological test is feasible across a diverse range of community participants, and replicates known age effects. The advantages of growing access to these DCA tools and the shared data resources they will produce has the potential to revolutionize neuropsychological research and clinical practice.
91 Investigation of Cognitive Differences in Pre-Symptomatic Known PRNP Mutation Carriers vs. Non-Carriers
- Abaigeal M Ford, Lauren E Sather, Nadine A Schwab, Shona W Allen, Eric V Minikel, Sonia M Vallabh, Steven E Arnold
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 82-83
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Objective:
Prion disease is a rare, invariably fatal neurodegenerative disease characterized by rapid neuronal degeneration; Mutations to PRNP gene cause genetic prion disease (GPD). In animal models, microglial activation, astrocytosis, and release of neurofilament precede the onset of frank symptoms (Sorce & Nuvolone 2020, Minikel 2020). In humans at risk for GPD, prodromal pathology appears to occur in only a brief window prior to symptom onset (Vallabh et al. 2020, Thompson et al. 2021), but some data suggest that known PRNP mutation carriers may exhibit cognitive abnormalities prior to meeting clinical diagnostic criteria (Mole et al., 2021). We aim to examine pre-symptomatic differences in cognitive processing speed (CPS) and executive function (EF) in PRNP mutation carriers and controls.
Participants and Methods:Our sample includes two groups from an ongoing observational study on GPD (Vallabh et al., 2020): known PRNP mutation carriers (N = 32, Age M = 45.77, SD = 14.75) and control group of non-carriers with a family history of GPD and healthy controls with no known history (N = 11, Age M = 42.01, SD = 12.43). All participants completed a full cognitive battery at baseline and on an annual basis. We compared first visit cognitive testing measuring CPS and EF using: National Institute of Health (NIH) Toolbox [Pattern Comparison (NIH-PC), Flanker, Dimensional Card Sorting Task (NIH-DCCS)], Trail Making Test (TMT) A and B, and Delis-Kaplan Executive Function System (D-KEFS) Color-Word Interference Test (CWIT).
Results:Independent t-tests and Mann-Whitney U tests compared cognitive test performance between groups. Across all cognitive test measures assessed, none exhibited significant differences between groups after Bonferroni correction for N=10 tests (corrected P > 0.05). Mean scores for mutation carriers were non-significantly lower than controls on TMT-B (Z-score Mdn = .29, SD = 1.33 vs. Z-score Mdn = .96, SD = .97), NIH-PC (Age-corrected Standard Score [ACSS] M = 100.13, SD = 20.76 vs. ACSS score M = 114.82, SD = 14.61) and NIH-Flanker (ACSS score M = 83.58, SD = 9.72 vs. ACSS score M = 90.64, SD = 10.94), and NIH-DCCS (ACSS M = 101.29, SD = 16.37 vs. ACSS score M = 112.00, SD = 16.28) but not for TMT-A or all four conditions of CWIT.
Conclusions:We did not detect any significant cognitive deficits in known PRNP mutation carriers. This is consistent with the lack of prodromal pathological biomarker changes or cognitive changes as reported in Vallabh et al 2020, and with the finding of Mole et al. 2021 that most tests reveal impairment only at a stage where carriers report subjective symptoms. Our results suggest an opportunity for primary prevention to preserve full cognitive health in at-risk individuals. However, small sample size and limited test sensitivity may leave us underpowered to detect subtle deficits. Future research is warranted to further investigate the neuropsychological profile of pre-symptomatic GPD.
Reliability and Utility of Manual and Automated Estimates of Total Intracranial Volume
- Samuel J. Crowley, Jared J. Tanner, Daniel Ramon, Nadine A. Schwab, Loren P. Hizel, Catherine C. Price
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- Journal:
- Journal of the International Neuropsychological Society / Volume 24 / Issue 2 / February 2018
- Published online by Cambridge University Press:
- 05 October 2017, pp. 206-211
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Objectives: Total intracranial volume (TICV) is an important control variable in brain–behavior research, yet its calculation has challenges. Manual TICV (Manual) is labor intensive, and automatic methods vary in reliability. To identify an accurate automatic approach we assessed the reliability of two FreeSurfer TICV metrics (eTIV and Brainmask) relative to manual TICV. We then assessed how these metrics alter associations between left entorhinal cortex (ERC) volume and story retention. Methods: Forty individuals with Parkinson’s disease (PD) and 40 non-PD peers completed a brain MRI and memory testing. Manual metrics were compared to FreeSurfer’s Brainmask (a skull strip mask with total volume of gray, white, and most cerebrospinal fluid) and eTIV (calculated using the transformation matrix into Talairach space). Volumes were compared with two-way interclass correlations and dice similarity indices. Associations between ERC volume and Wechsler Memory Scale-Third Edition Logical Memory retention were examined with and without correction using each TICV method. Results: Brainmask volumes were larger and eTIV volumes smaller than Manual. Both automated metrics correlated highly with Manual. All TICV metrics explained additional variance in the ERC-Memory relationship, although none were significant. Brainmask explained slightly more variance than other methods. Conclusions: Our findings suggest Brainmask is more reliable than eTIV for TICV correction in brain-behavioral research. (JINS, 2018, 24, 206–211)