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The science behind the Brain Vitality Index.

The Brain Vitality Index is a LifeByLogic-original assembly of well-established cognitive paradigms. Seven short tasks measure live performance across seven domains, which are age-adjusted, scored 0–100, and combined into a Brain Vitality Age and a cognitive archetype. This page documents exactly how that works — the paradigms, the task designs, the scoring pipeline, the norms, and the limits.

The seven domains and their paradigms

Each domain is operationalized through the experimental paradigm that the cognitive literature most consistently uses to measure it. The tasks are adapted for a short, browser-based, self-administered format — not reproduced verbatim from any clinical instrument.

DomainWhat it capturesParadigmKey reference
Working MemoryVisuospatial span — how much you can hold and reproduceCorsi block-tapping, adaptive forward spanCorsi 1972; Kessels 2000
Attention ControlSelective attention and interference suppressionEriksen flankerEriksen & Eriksen 1974
Cognitive SpeedProcessing and psychomotor speedSymbol–digit substitution (SDMT-style)Smith 1982
Mental FlexibilitySet-shifting; the cost of switching rulesTask-switching (switch cost)Rogers & Monsell 1995; Monsell 2003
Learning EfficiencyAssociative encoding and delayed retentionPaired-associate learning + delayed recallVerbal-learning literature
Cognitive EnduranceWhether performance holds or fades within a sessionWithin-session RT drift (derived)Mackworth 1948
Emotional ComposureHow accuracy holds under time pressurePressure-contrast + brief self-reportSpeed–accuracy / stress literature

How each task is built

Every task follows the same three-beat structure: it teaches you the rule in plain language, gives you a practice round that does not count, then runs the clean trials that do. Reaction time is captured silently in the background — there is no visible timer, because watching a clock changes how people perform.

Working Memory uses an adaptive spatial span: tiles light up in sequence and you tap them back in order, with the sequence growing by one each time you are correct and stopping when you miss — so the task finds your ceiling rather than testing a fixed length. Attention Control uses a flanker array where a central arrow is surrounded by flankers that point the same way (congruent) or the opposite way (incongruent); the difference in your speed and accuracy between the two is the interference cost. Cognitive Speed shows a key of symbol–number pairs and asks you to enter the number for each symbol as quickly as you can over a short burst. Mental Flexibility alternates between two simple classification rules; the extra time you need on switch trials versus repeat trials is your switch cost. Learning Efficiency presents a set of pairs to learn, tests immediate recall, and then — after other tasks have intervened — probes delayed recall to capture retention, not just encoding. Cognitive Endurance is derived rather than a separate task: it compares your reaction times in the early trials of the speeded tasks against the late ones, so a performance that drifts slower over time reads as lower endurance. Emotional Composure contrasts a calm round with a pressured round and pairs the behavioral difference with a short self-report of how pressured you felt.

How scoring works

Five steps turn raw taps and timings into your Brain Vitality Age and archetype.

  1. Raw capture.

    Each trial records accuracy and reaction time. Timing uses the browser's high-resolution clock and is never shown to you during a task.

  2. Age adjustment.

    Raw metrics are read against provisional age-reference ranges, so your performance is compared to a typical range for your age band rather than to twenty-year-olds. A strong score at 60 and a strong score at 25 mean the same thing relative to each person's band.

  3. Domain scores.

    Each domain's age-adjusted performance is mapped to a 0–100 score, where higher means stronger relative to the age reference. These seven scores are what the radar shows.

  4. Brain Vitality Age.

    A speed-weighted composite of the seven domain scores is expressed as an age, reported with a ±4-year band to signal that it is an estimate, not a precise measurement.

  5. Archetype.

    The shape of your profile — which domains lead and which lag — is matched to a cognitive archetype. Two people with the same Vitality Age can have different archetypes, because the archetype describes pattern, not just level.

About the norms

The age-reference ranges are provisional. They are anchored to the published cognitive-aging literature — in particular the well-documented finding that different abilities peak at different ages, and that processing speed declines earlier and faster than crystallized knowledge (Salthouse 1996; Hartshorne & Germine 2015) — but they have not been calibrated on our own sample of test-takers.

What that means for your result. Treat your Brain Vitality Age as a ±4-year snapshot of how you performed in a single sitting, not a fixed property of your brain. Single-session scores are affected by sleep, caffeine, time of day, device, and simple familiarity with the task format — most people improve on a second attempt purely from practice. The number is a starting point for reflection, not a verdict.

What this is, and what it isn't

The Brain Vitality Index is an educational performance snapshot. It is not an IQ test: it does not estimate general intelligence, and the domains are read within your own profile and age band rather than ranked against a population. It is not a neuropsychological assessment: a clinical battery is administered by a trained professional, normed on validated samples, and interpreted in context. And it is not a diagnosis of any condition — a low score on a given day is a prompt to look closer (sleep, stress, attention), not a conclusion.

It is also distinct from the Brain Age Index, which estimates a brain age from lifestyle and health inputs. The Brain Vitality Index measures live performance now; the two answer different questions and are most informative read together.

How it compares

FeatureBrain Vitality IndexClinical neuropsych batteryConsumer brain-training
TypeEducational performance snapshotClinical assessmentTraining product
AdministrationSelf-administered, ~14 min, browserProfessional, hoursSelf, ongoing
Paradigms7 established paradigms, adaptedValidated subtestsGamified tasks
NormsProvisional age-reference rangesValidated normative samplesWithin-app percentiles
ValidationNot validatedValidatedMixed / limited transfer
OutputVitality Age + 7 domains + archetypeDiagnostic profileTraining scores
CostFree (optional $24.99 report)$$$Subscription

Known limitations

Single session: one sitting captures state as much as trait, and is sensitive to sleep, time of day, and effort. Provisional norms: the age-reference ranges are not yet calibrated on our own data. Practice and familiarity: scores typically rise on repeat attempts from format familiarity alone. Device and input: touch versus mouse, screen size, and latency affect reaction-time tasks. Not diagnostic: the Index cannot identify or rule out any clinical condition. Cultural and linguistic: the tasks and instructions are in English and reflect a particular set of conventions.

References

  1. Corsi, P. M. (1972). Human memory and the medial temporal region of the brain (Doctoral dissertation). McGill University.
  2. Kessels, R. P. C., van Zandvoort, M. J. E., Postma, A., Kappelle, L. J., & de Haan, E. H. F. (2000). The Corsi Block-Tapping Task: standardization and normative data. Applied Neuropsychology, 7(4), 252–258. doi:10.1207/S15324826AN0704_8
  3. Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. doi:10.3758/BF03203267
  4. Smith, A. (1982). Symbol Digit Modalities Test (SDMT): Manual. Western Psychological Services.
  5. Rogers, R. D., & Monsell, S. (1995). Costs of a predictable switch between simple cognitive tasks. Journal of Experimental Psychology: General, 124(2), 207–231. doi:10.1037/0096-3445.124.2.207
  6. Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134–140. doi:10.1016/S1364-6613(03)00028-7
  7. Mackworth, N. H. (1948). The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1(1), 6–21. doi:10.1080/17470214808416738
  8. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428. doi:10.1037/0033-295X.103.3.403
  9. Hartshorne, J. K., & Germine, L. T. (2015). When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span. Psychological Science, 26(4), 433–443. doi:10.1177/0956797614567339
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