SAMPLE · IDENTICAL TO MEMBER REPORTS

Pat Morgan (age band 65–69) is a fictional member used only for demonstration. Every section below — composite metrics, 90-day heatmap, six-region scores, per-lesson science cards, APA bibliography with DOI links — is produced by the same report engine that builds live subscriber reports at /api/report.

Only the data is sample data. Structure, science annotations, and disclaimers match what paying members receive.

Start free 7-day trial — get your own report Try a full real lesson free first → ← Home

Sample: Scientific Brain-Training Report

Sample data · identical template to live member reports · updated Thu, Jul 30, 3:27 PM

Member: Pat Morgan (fictional sample)
Generated: July 30, 2026
Member since: Apr 1, 2026
Age band: 65-69
Sessions completed: 70 · Current streak: 0 day(s) · Longest streak: 23 · Lessons played: 87

What this report is — and isn't. This is a personal summary of training activity on BrainSharp 50+. The numbers below are training-engagement metrics, derived from performance on in-app exercises modeled on published cognitive-aging paradigms. They are not clinical assessments, not a diagnosis, and not a substitute for medical advice. Cognitive-training research shows practice improves performance on the trained task (the "practice effect" — Roediger & Karpicke, 2006); generalized "smarter brain" claims are not well supported (Simons et al., 2016). The FTC has penalized brain-training marketers who overclaim (FTC v. Lumos Labs, 2016). We deliberately do not make those claims.
At a glance — what matters most

Recommended next steps: (1) run tomorrow's Daily Session targeting Memory Recall; (2) play one lesson in that domain (e.g. members use Name-Face for Memory, Scam Detection for Reasoning); (3) re-check this report in 2–4 weeks for within-domain gains. Print the doctor portal for visits — training notes, not a diagnosis.

1. Composite Training Metrics

739
BrainSharp Score (0–1000)
50
Brain Age (training estimate)
65%
Percentile (modeled estimate)

Brain Age here is a relative training metric — it is not the MRI-derived "brain age" used in research (Cole & Franke, 2017). Percentile is a modeled estimate derived from the score scale, not a comparison against a user population or clinical normative sample.

Your training estimate is 17 years younger than the midpoint of your age range (65-69). (relative training metric, not a clinical measurement)

2. 90-Day Adherence (Streak Heatmap)

2026-05-02: 2 sessions2026-05-03: 1 session2026-05-04: 0 sessions2026-05-05: 1 session2026-05-06: 1 session2026-05-07: 0 sessions2026-05-08: 2 sessions2026-05-09: 0 sessions2026-05-10: 1 session2026-05-11: 0 sessions2026-05-12: 2 sessions2026-05-13: 0 sessions2026-05-14: 1 session2026-05-15: 0 sessions2026-05-16: 2 sessions2026-05-17: 0 sessions2026-05-18: 1 session2026-05-19: 0 sessions2026-05-20: 1 session2026-05-21: 2 sessions2026-05-22: 0 sessions2026-05-23: 1 session2026-05-24: 1 session2026-05-25: 1 session2026-05-26: 0 sessions2026-05-27: 1 session2026-05-28: 0 sessions2026-05-29: 1 session2026-05-30: 2 sessions2026-05-31: 1 session2026-06-01: 0 sessions2026-06-02: 1 session2026-06-03: 1 session2026-06-04: 1 session2026-06-05: 0 sessions2026-06-06: 1 session2026-06-07: 1 session2026-06-08: 1 session2026-06-09: 1 session2026-06-10: 0 sessions2026-06-11: 0 sessions2026-06-12: 2 sessions2026-06-13: 0 sessions2026-06-14: 1 session2026-06-15: 0 sessions2026-06-16: 2 sessions2026-06-17: 0 sessions2026-06-18: 1 session2026-06-19: 1 session2026-06-20: 0 sessions2026-06-21: 2 sessions2026-06-22: 1 session2026-06-23: 0 sessions2026-06-24: 0 sessions2026-06-25: 1 session2026-06-26: 2 sessions2026-06-27: 1 session2026-06-28: 0 sessions2026-06-29: 1 session2026-06-30: 0 sessions2026-07-01: 1 session2026-07-02: 1 session2026-07-03: 1 session2026-07-04: 1 session2026-07-05: 0 sessions2026-07-06: 1 session2026-07-07: 1 session2026-07-08: 0 sessions2026-07-09: 1 session2026-07-10: 1 session2026-07-11: 1 session2026-07-12: 0 sessions2026-07-13: 2 sessions2026-07-14: 0 sessions2026-07-15: 2 sessions2026-07-16: 0 sessions2026-07-17: 0 sessions2026-07-18: 1 session2026-07-19: 1 session2026-07-20: 1 session2026-07-21: 0 sessions2026-07-22: 2 sessions2026-07-23: 1 session2026-07-24: 0 sessions2026-07-25: 1 session2026-07-26: 1 session2026-07-27: 0 sessions2026-07-28: 2 sessions2026-07-29: 0 sessions2026-07-30: 0 sessionsLessMore

Distributed practice (training spread over time) reliably outperforms massed practice for long-term retention (Cepeda et al., 2008). The heatmap above shows your day-by-day session pattern over the last 90 days.

3. Cognitive-Load Distribution (Last 30 Lessons)

Memory Recall: 9%Processing Speed: 23%Attention & Focus: 8%Reasoning & Logic: 28%Word Retrieval: 21%Spatial Processing: 11%30lessons
9% Memory Recall
23% Processing Speed
8% Attention & Focus
28% Reasoning & Logic
21% Word Retrieval
11% Spatial Processing

This chart shows how your training time has been distributed across the six cognitive domains over your most-recent 30 lessons. It is offered so you can vary your practice across domains if you'd like; practicing a single task type tends to improve performance mainly on that same task (the practice effect) rather than transferring broadly.

Reference: Hertzog et al., 2008, Psychological Science in the Public Interest.

4. Region-Level Performance

Region (BrainSharp label) Cognitive construct (CHC taxonomy) Score 30-day Δ
Memory Recall Gl — Long-term storage and retrieval (episodic + associative) 64/100 +7
Processing Speed Gs — Cognitive processing speed (perceptual speed) 68/100 +5
Attention & Focus Executive function — sustained, selective, divided attention 71/100 +6
Reasoning & Logic Gf — Fluid reasoning (inductive + deductive) 76/100 +7
Word Retrieval Gc — Crystallized intelligence (lexical retrieval + semantic memory) 78/100 +7
Spatial Processing Gv — Visualization (mental rotation + allocentric navigation) 65/100 +6

The Cattell-Horn-Carroll (CHC) taxonomy is the dominant framework in modern psychometric research (McGrew, 2009). "30-day Δ" compares your most-recent 30 sessions to your earliest 30. Positive numbers indicate within-domain training gains — the practice effect (Roediger & Karpicke, 2006). They do not necessarily indicate broader cognitive change.

What each score means for everyday life

Memory Recall 64% · Solid

Holding on to and recalling information — names, lists, instructions, where you put things.

In daily life: Remembering a doctor’s instructions, a name at a gathering, or your shopping list without writing it down.

Train it with: Name-Face · Grocery Chunking · Story Retelling · Source Memory

Processing Speed 68% · Solid

How quickly you take in information and respond to it.

In daily life: Reacting in time while driving, keeping up with a lively conversation, or counting out change.

Train it with: Number Comparison · Rapid Categorization · Visual Search · Speed Sort

Attention & Focus 71% · Solid

Staying on task and tuning out distractions.

In daily life: Following a recipe with the TV on, or tracking one conversation in a noisy restaurant.

Train it with: Selective Attention · Selective Listening · Dual Task · Sustained Vigilance

Reasoning & Logic 76% · Solid

Working through problems step by step and drawing sound conclusions.

In daily life: Weighing options on a big decision, spotting a scam, or planning a trip with several stops.

Train it with: Everyday Deduction · Scam Detection · Financial Reasoning · Argument Evaluation

Word Retrieval 78% · Solid

Finding the exact word you want, quickly.

In daily life: Beating the “tip of the tongue” feeling and telling a story without losing your thread.

Train it with: Tip of Tongue · Synonym Chains · Category Fluency · Word Definition Match

Spatial Processing 65% · Solid

Picturing and moving through physical space.

In daily life: Reading a map, parking the car, packing a suitcase, or finding your way somewhere new.

Train it with: Mental Rotation · Mirror Image · Map Reading · Driving Hazard

Where you started vs. now

RegionStartNowChange
Memory Recall61%64%▲ +3
Processing Speed59%68%▲ +9
Attention & Focus66%71%▲ +5
Reasoning & Logic73%76%▲ +3
Word Retrieval72%78%▲ +6
Spatial Processing59%65%▲ +6

5. Per-Lesson Breakdown — The Task Behind Each Lesson

For each lesson you've played, the cognitive domain it exercises, the published experimental task format it's modeled on, and everyday situations that involve a similar kind of thinking. These are general, educational descriptions of the task type — not a claim that the lesson activates specific brain regions in you, measures a medical condition, or guarantees a real-world result.

Mental Rotation

played 3 times

Brain regions associated with this task type (in research): Right parietal cortex · Superior parietal lobule · Premotor cortex

Cognitive construct (CHC): Visualization (Gv) — spatial reasoning

Task format modeled on: Mental Rotation Task

Your brain constructs a 3-D representation of the shape in working memory, then mentally rotates it to compare with the target. Reaction time scales linearly with rotation angle — a hallmark of analog spatial processing.

Everyday situations like this: Reading maps, packing a car trunk, understanding furniture-assembly diagrams, navigating an unfamiliar parking garage.

Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701–703. doi:10.1126/science.171.3972.701

Mirror Image

played 4 times

Brain regions associated with this task type (in research): Right parietal cortex · Occipital cortex · Inferior temporal gyrus

Cognitive construct (CHC): Visualization (Gv) — spatial visualization

Task format modeled on: Mirror Reversal / Vandenberg Mental Rotations Test

Distinguishing a mirror image from an identical-but-rotated version requires holding the shape in spatial working memory and detecting chirality (handedness) — a function lateralized to the right hemisphere.

Everyday situations like this: Telling left from right on a stranger's perspective, reading signs in a rear-view mirror, distinguishing similar-looking medications by packaging asymmetry.

Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47(2), 599–604. doi:10.2466/pms.1978.47.2.599

Number Comparison

played 2 times

Brain regions associated with this task type (in research): Intraparietal sulcus · Anterior cingulate

Cognitive construct (CHC): Processing speed (Gs) — perceptual speed

Task format modeled on: Symbolic numerical magnitude comparison

In numerical-comparison tasks, the classic "distance effect" appears — people tend to compare numbers that are further apart more quickly. This exercise is practice in fast numerical judgment, a task format widely used in processing-speed research.

Everyday situations like this: Catching a billing error, comparing prices in the grocery store, reading bus departure boards quickly.

Moyer, R. S., & Landauer, T. K. (1967). Time required for judgements of numerical inequality. Nature, 215(5109), 1519–1520. doi:10.1038/2151519a0

Sequence Completion

played 4 times

Brain regions associated with this task type (in research): Dorsolateral prefrontal cortex · Parietal cortex

Cognitive construct (CHC): Fluid reasoning (Gf) — inductive reasoning

Task format modeled on: Raven's Progressive Matrices analog

Inferring the next item in a pattern requires holding several candidate rules in mind and testing them against the data. This is a classic inductive-reasoning task format. This exercise is practice at extracting and applying patterns.

Everyday situations like this: Predicting traffic from how a route has been flowing, anticipating a salesperson's next move, completing a half-finished thought.

Raven, J. C. (1938). Standard Progressive Matrices: Sets A, B, C, D, and E. H. K. Lewis.

Story Retelling

played 4 times

Brain regions associated with this task type (in research): Left medial temporal lobe · Inferior frontal gyrus · Angular gyrus

Cognitive construct (CHC): Long-term storage and retrieval (Gl) — narrative episodic memory

Task format modeled on: Wechsler Memory Scale Logical Memory subtest

Retelling a story involves holding the details of a narrative and reproducing them in order. Story-recall is a task format used in memory research (for example, the WMS-IV Logical Memory subtest). This exercise is practice at narrative recall and is not a clinical memory test.

Everyday situations like this: Telling your doctor what happened in a fall, recounting a news story to a spouse, recalling instructions a contractor gave you.

Wechsler, D. (2009). Wechsler Memory Scale, Fourth Edition (WMS-IV). Pearson Assessment.

Category Fluency

played 2 times

Brain regions associated with this task type (in research): Left inferior frontal gyrus · Temporal cortex

Cognitive construct (CHC): Long-term retrieval (Gl) — semantic fluency

Task format modeled on: Semantic Verbal Fluency Test

Naming as many items of a category as possible in 60 seconds is a widely-used verbal-fluency task format. It draws on both stored knowledge (semantic memory) and active retrieval. This exercise is timed practice at that kind of word generation; it is not a screening test.

Everyday situations like this: Producing a word on demand mid-conversation, generating options when asked "what should we have for dinner?", listing relatives at a holiday gathering.

Tombaugh, T. N., Kozak, J., & Rees, L. (1999). Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Archives of Clinical Neuropsychology, 14(2), 167–177. doi:10.1093/arclin/14.2.167

Sustained Vigilance

played 2 times

Brain regions associated with this task type (in research): Right frontal cortex · Anterior cingulate · Locus coeruleus

Cognitive construct (CHC): Attention — sustained / vigilance

Task format modeled on: Continuous Performance Test (CPT)

The Continuous Performance Test format asks you to maintain attention over time and respond only to rare targets. This exercise is practice in that kind of sustained vigilance.

Everyday situations like this: Listening for your name at a doctor's office over PA noise, staying alert on a long drive, monitoring a stovetop while cooking.

Rosvold, H. E., Mirsky, A. F., Sarason, I., Bransome, E. D., & Beck, L. H. (1956). A continuous performance test of brain damage. Journal of Consulting Psychology, 20(5), 343–350. doi:10.1037/h0043220

Visual Search

played 2 times

Brain regions associated with this task type (in research): Frontal eye fields · Posterior parietal cortex · Visual cortex

Cognitive construct (CHC): Processing speed (Gs) — visual attention

Task format modeled on: Feature Integration Theory / conjunction search

Finding a target in a cluttered field engages parallel pre-attentive processing for single-feature targets and serial attention deployment for conjunction targets. Older adults' search slope (ms per added distractor) is the standard measure of attentional efficiency.

Everyday situations like this: Finding your car in a crowded lot, scanning a menu, locating the correct pill bottle on a busy counter.

Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136. doi:10.1016/0010-0285(80)90005-5

Name-Face Association

played 2 times

Brain regions associated with this task type (in research): Hippocampus · Fusiform face area · Anterior temporal lobe

Cognitive construct (CHC): Long-term storage and retrieval (Gl) — associative episodic memory

Task format modeled on: Face-Name Associative Memory Exam (FNAME)

Binding a face to a name asks you to form a new association between what someone looks like and what they are called. Face-name learning is a well-studied task format in memory research. This exercise is practice at that kind of associative learning; it does not assess or screen for any medical condition.

Everyday situations like this: Remembering a new neighbor's name, recalling who someone is at a reunion, matching a name in a story to the face you saw earlier.

Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., et al. (2011). Face-name associative memory performance is related to amyloid burden in normal elderly. Neuropsychologia, 49(9), 2776–2783. doi:10.1016/j.neuropsychologia.2011.06.006

Historical Timeline

played 1 time

Brain regions associated with this task type (in research): Hippocampus · Prefrontal cortex

Cognitive construct (CHC): Long-term retrieval (Gl) — temporal-order memory

Task format modeled on: Sequence-memory paradigm

Ordering events in time involves remembering not just what happened but the sequence in which it happened. Temporal-order memory is a well-studied construct in memory research. This exercise is practice at reconstructing the order of events.

Everyday situations like this: Recalling the order of events at a family gathering, sequencing the steps of a recipe, ordering symptoms during a doctor's history-taking.

Eichenbaum, H. (2014). Time cells in the hippocampus: a new dimension for mapping memories. Nature Reviews Neuroscience, 15(11), 732–744. doi:10.1038/nrn3827

Rapid Categorization

played 4 times

Brain regions associated with this task type (in research): Ventral occipitotemporal cortex · Prefrontal cortex

Cognitive construct (CHC): Processing speed (Gs) — semantic processing speed

Task format modeled on: Speeded semantic categorization

Categorizing objects under time pressure is a task format used to study how quickly visual input is matched to meaning. This exercise is timed practice in that kind of rapid categorization.

Everyday situations like this: Spotting a stop sign in peripheral vision, recognizing a friend in a crowd, parsing a dashboard warning light.

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

Dual-Task Vigilance

played 3 times

Brain regions associated with this task type (in research): Dorsolateral prefrontal cortex · Anterior cingulate

Cognitive construct (CHC): Attention — divided / executive function

Task format modeled on: Dual-task interference paradigm

Performing two tasks at once illustrates a well-known bottleneck in human cognition — the difficulty of doing two demanding things simultaneously. This exercise is practice at dividing attention between competing tasks.

Everyday situations like this: Holding a conversation while driving, listening to a doctor while taking notes, counting change while answering a question.

Pashler, H. (1994). Dual-task interference in simple tasks: data and theory. Psychological Bulletin, 116(2), 220–244. doi:10.1037/0033-2909.116.2.220

Map Reading

played 2 times

Brain regions associated with this task type (in research): Hippocampus · Parahippocampal place area · Retrosplenial cortex

Cognitive construct (CHC): Visualization (Gv) — allocentric spatial cognition

Task format modeled on: Allocentric navigation paradigm

Map-reading tasks of this type draw on building an "allocentric" world-centered representation of space, distinct from an "egocentric" body-centered one. Researchers describe this allocentric vs. egocentric distinction in spatial cognition. This exercise is practice in that style of spatial thinking.

Everyday situations like this: Navigating a hospital, finding your gate at an airport, planning a route that requires multiple turns from a verbal description.

Iaria, G., Petrides, M., Dagher, A., Pike, B., & Bohbot, V. D. (2003). Cognitive strategies dependent on the hippocampus and caudate nucleus in human navigation. Journal of Neuroscience, 23(13), 5945–5952. doi:10.1523/JNEUROSCI.23-13-05945.2003

Grocery List Chunking

played 2 times

Brain regions associated with this task type (in research): Dorsolateral prefrontal cortex · Posterior parietal cortex

Cognitive construct (CHC): Short-term memory (Gwm) — working-memory chunking

Task format modeled on: Working-memory list-learning ("Magical Number Seven")

Holding a 12-item list exceeds working memory's ~7-item span. Chunking by category collapses the list into ~3 chunks. This is the cognitive trick that lets older adults punch above their raw span.

Everyday situations like this: Remembering a grocery list without writing it down, holding a phone number long enough to dial, recalling the parts of a multi-step instruction.

Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. doi:10.1037/h0043158

Recipe Scaling

played 1 time

Brain regions associated with this task type (in research): Intraparietal sulcus · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Quantitative reasoning (Gq) + working memory (Gwm)

Task format modeled on: Applied arithmetic + working memory

Scaling a recipe combines numerical reasoning with keeping a running total in mind. This exercise is practice at the kind of applied arithmetic that comes up in everyday tasks.

Everyday situations like this: Doubling a recipe for guests, splitting a check, computing a tip, adjusting medication dosing instructions for a different unit.

Dehaene, S. (1992). Varieties of numerical abilities. Cognition, 44(1–2), 1–42. doi:10.1016/0010-0277(92)90049-N

Scam Detection

played 5 times

Brain regions associated with this task type (in research): Anterior cingulate · Insula · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Fluid reasoning (Gf) + executive attention

Task format modeled on: Source-credibility / deception-cue detection

Spotting a scam means noticing subtle inconsistencies in who is contacting you and what they are asking for. This exercise is practice at recognizing common deception cues in everyday messages.

Everyday situations like this: Recognizing a phishing email, identifying an IRS-impersonation phone call, catching a too-good-to-be-true investment offer.

Spreng, R. N., Cassidy, B. N., Darboh, B. S., DuPre, E., Lockrow, A. W., Setton, R., & Turner, G. R. (2017). Financial exploitation is associated with structural and functional brain differences in healthy older adults. Journals of Gerontology Series A, 72(10), 1365–1368. doi:10.1093/gerona/glx051

Selective Attention

played 1 time

Brain regions associated with this task type (in research): Anterior cingulate · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Attention — selective / executive function

Task format modeled on: Stroop interference / selective filtering

Filtering relevant from irrelevant information engages the anterior cingulate to detect conflict and the prefrontal cortex to resolve it. Stroop interference grows reliably with age and inversely with executive control.

Everyday situations like this: Following a conversation in a noisy restaurant, focusing on a form while a TV plays, ignoring spam to find the real email.

Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. doi:10.1037/h0054651

Everyday Deduction

played 3 times

Brain regions associated with this task type (in research): Prefrontal cortex · Temporal-parietal junction

Cognitive construct (CHC): Fluid reasoning (Gf) — practical deduction

Task format modeled on: Wason selection task / practical inference

Practical deduction integrates fluid reasoning with everyday knowledge. Crucially, performance on the abstract Wason task is poor in most adults, but rises sharply when the same logic is dressed in a real-world scenario — evidence that reasoning is content-specific.

Everyday situations like this: Figuring out who left the lights on from clues at home, deciding whether a contractor is telling the truth, narrowing down a symptom from a process of elimination.

Wason, P. C. (1968). Reasoning about a rule. Quarterly Journal of Experimental Psychology, 20(3), 273–281. doi:10.1080/14640746808400161

Argument Evaluation

played 1 time

Brain regions associated with this task type (in research): Lateral prefrontal cortex · Temporal cortex

Cognitive construct (CHC): Crystallized intelligence (Gc) + fluid reasoning (Gf)

Task format modeled on: Toulmin argument structure analysis

Evaluating an argument involves identifying claim, grounds, warrant, and rebuttal — a structure formalized by Toulmin. This is a common framework for analyzing arguments. This exercise is practice at breaking an argument into its parts.

Everyday situations like this: Parsing political speech, evaluating an investment pitch, deciding whether a friend's advice is well-founded.

Toulmin, S. E. (1958). The uses of argument. Cambridge University Press.

Daily News Comprehension

played 3 times

Brain regions associated with this task type (in research): Left temporal cortex · Inferior frontal gyrus · Hippocampus

Cognitive construct (CHC): Crystallized intelligence (Gc) + working memory (Gwm)

Task format modeled on: Text comprehension paradigm

Reading-for-comprehension engages a text-base representation in temporal cortex and a working-memory model of the situation in prefrontal cortex. Comprehension declines with age primarily through working-memory load, not vocabulary.

Everyday situations like this: Following a complex news story, comprehending a complicated email from a family member, reading and acting on a discharge summary.

Kintsch, W. (1988). The role of knowledge in discourse comprehension: a construction-integration model. Psychological Review, 95(2), 163–182. doi:10.1037/0033-295X.95.2.163

Health Literacy

played 3 times

Brain regions associated with this task type (in research): Left temporal cortex · Inferior frontal gyrus · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Crystallized intelligence (Gc) — applied reasoning

Task format modeled on: Health Literacy Framework (Nutbeam)

Health literacy combines reading comprehension, numeracy (especially probability), and confidence in applying health information. This exercise is practice at reading and reasoning through everyday health materials; it is educational and is not medical advice.

Everyday situations like this: Reading a drug label, comparing two insurance plans, understanding a "1-in-200" risk explanation from a doctor.

Nutbeam, D. (2008). The evolving concept of health literacy. Social Science & Medicine, 67(12), 2072–2078. doi:10.1016/j.socscimed.2008.09.050

Financial Reasoning

played 2 times

Brain regions associated with this task type (in research): Ventromedial prefrontal cortex · Insula · Striatum

Cognitive construct (CHC): Crystallized intelligence (Gc) + fluid reasoning (Gf)

Task format modeled on: Financial Literacy Big Three (Lusardi & Mitchell)

Financial reasoning combines numerical fluency, working memory, and weighing risk against reward. This exercise is practice at working through everyday money scenarios; it is educational and is not financial advice.

Everyday situations like this: Comparing a fixed and variable mortgage rate, understanding compounding, evaluating an annuity pitch, catching an overcharge on a bill.

Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: theory and evidence. Journal of Economic Literature, 52(1), 5–44. doi:10.1257/jel.52.1.5

Contextual Vocabulary

played 1 time

Brain regions associated with this task type (in research): Left temporal cortex · Angular gyrus

Cognitive construct (CHC): Crystallized intelligence (Gc) — context-aided lexical access

Task format modeled on: Cloze inference / context-supported word inference

Inferring a word's meaning from sentence context engages crystallized knowledge AND fluid integration of contextual constraints. This is the cognitive route by which adults continue to expand vocabulary across the lifespan.

Everyday situations like this: Reading a medical pamphlet with new vocabulary, learning what a term means from a financial document, parsing legal language.

Sternberg, R. J., & Powell, J. S. (1983). Comprehending verbal comprehension. American Psychologist, 38(8), 878–893. doi:10.1037/0003-066X.38.8.878

Tip-of-the-Tongue

played 2 times

Brain regions associated with this task type (in research): Left inferior frontal gyrus · Insula

Cognitive construct (CHC): Long-term retrieval (Gl) — phonological retrieval

Task format modeled on: Tip-of-the-Tongue (TOT) State paradigm

The tip-of-the-tongue state is the familiar experience of knowing a word's meaning while momentarily unable to retrieve its sound. It is a well-studied phenomenon in language research. This exercise is practice at recovering a word from partial cues.

Everyday situations like this: Recovering a familiar name "on the tip of your tongue", finding the exact word in a heated discussion, recalling a place name from a younger memory.

Brown, R., & McNeill, D. (1966). The "tip of the tongue" phenomenon. Journal of Verbal Learning and Verbal Behavior, 5(4), 325–337. doi:10.1016/S0022-5371(66)80040-3

Synonym Chains

played 6 times

Brain regions associated with this task type (in research): Left temporal cortex · Inferior frontal gyrus

Cognitive construct (CHC): Crystallized intelligence (Gc) — lexical-semantic network

Task format modeled on: Spreading-activation network theory

Producing synonyms draws on the spreading-activation structure of the semantic network — related words tend to activate one another. This exercise is practice at moving flexibly through your vocabulary.

Everyday situations like this: Finding a more precise word, paraphrasing for someone who didn't understand the first phrasing, producing varied vocabulary in writing.

Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428. doi:10.1037/0033-295X.82.6.407

Driving Hazard Perception

played 1 time

Brain regions associated with this task type (in research): Posterior parietal cortex · Frontal eye fields · Cerebellum

Cognitive construct (CHC): Processing speed (Gs) + attention

Task format modeled on: Hazard Perception Test (Horswill & McKenna)

Hazard-perception tasks ask you to spot developing dangers in a driving scene as early as possible. This exercise is practice at scanning a scene and anticipating what might happen next; it is not a substitute for driver training or a measure of fitness to drive.

Everyday situations like this: Spotting a pedestrian about to step off the curb, anticipating that the car ahead may brake, detecting a vehicle drifting from a side lane.

Horswill, M. S., & McKenna, F. P. (2004). Drivers' hazard perception ability: situation awareness on the road. In S. Banbury & S. Tremblay (Eds.), A cognitive approach to situation awareness (pp. 155–175). Ashgate.

Pattern Matrix

played 3 times

Brain regions associated with this task type (in research): Dorsolateral prefrontal cortex · Parietal cortex

Cognitive construct (CHC): Fluid reasoning (Gf) — figural inductive reasoning

Task format modeled on: Raven's Progressive Matrices

Matrix-pattern tasks are the gold-standard psychometric measure of fluid intelligence. They are minimally dependent on language or culture — what they test is the raw rule-extraction machinery of the prefrontal-parietal network.

Everyday situations like this: Spotting a layout pattern in a form, inferring an unwritten rule at a new social gathering, decoding diagrammatic instructions.

Raven, J., Raven, J. C., & Court, J. H. (1998). Manual for Raven's Progressive Matrices and Vocabulary Scales. Oxford Psychologists Press.

Memory Flash

played 2 times

Brain regions associated with this task type (in research): Visual cortex · Posterior parietal cortex

Cognitive construct (CHC): Short-term memory (Gwm) — iconic / visual short-term memory

Task format modeled on: Sperling partial-report paradigm

Briefly-flashed items are first held in a large-capacity iconic store, then a smaller subset is transferred to visual working memory. The capacity of visual working memory is fixed at ~4 items and is a strong predictor of fluid intelligence.

Everyday situations like this: Glancing at a flight board and remembering your gate, taking in a license plate quickly, scanning a receipt and recalling the total.

Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied, 74(11), 1–29. doi:10.1037/h0093759

Word Scramble

played 4 times

Brain regions associated with this task type (in research): Left inferior frontal gyrus · Visual word form area

Cognitive construct (CHC): Crystallized intelligence (Gc) — lexical access

Task format modeled on: Anagram solving

Solving an anagram requires holding letters in working memory while iteratively recombining them and probing the lexicon for matches. The "Aha!" moment of anagram resolution maps to right-hemisphere insight processing.

Everyday situations like this: Recovering a misheard name from contextual clues, decoding a partially-obscured sign, working out a hint in a crossword.

Bowden, E. M., & Beeman, M. J. (1998). Getting the right idea: semantic activation in the right hemisphere may help solve insight problems. Psychological Science, 9(6), 435–440. doi:10.1111/1467-9280.00082

Speed Sort

played 1 time

Brain regions associated with this task type (in research): Anterior cingulate · Dorsolateral prefrontal cortex · Intraparietal sulcus

Cognitive construct (CHC): Processing speed (Gs) + attention

Task format modeled on: Wisconsin Card Sorting / speeded categorization

Sorting under time pressure means applying a categorization rule while resisting the urge to respond automatically — and switching rules when they change. This is the kind of flexibility studied with card-sorting task formats. This exercise is timed practice at rule-based sorting.

Everyday situations like this: Quickly sorting mail into "act" and "discard", choosing the correct register lane, triaging tasks under deadline.

Berg, E. A. (1948). A simple objective technique for measuring flexibility in thinking. Journal of General Psychology, 39(1), 15–22. doi:10.1080/00221309.1948.9918159

Logic Lock

played 2 times

Brain regions associated with this task type (in research): Dorsolateral prefrontal cortex · Parietal cortex

Cognitive construct (CHC): Fluid reasoning (Gf) — constraint-satisfaction

Task format modeled on: Constraint-satisfaction puzzle (Einstein's zebra-puzzle class)

Constraint-satisfaction puzzles require holding multiple constraints in working memory and iteratively narrowing the solution space. Performance correlates strongly with Raven's and with everyday problem-solving.

Everyday situations like this: Working through a complex schedule conflict, solving a Sudoku, deducing a password hint, untangling who owes what at a group dinner.

Newell, A., & Simon, H. A. (1972). Human problem solving. Prentice-Hall.

Number Nexus

played 2 times

Brain regions associated with this task type (in research): Intraparietal sulcus · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Quantitative reasoning (Gq) + working memory (Gwm)

Task format modeled on: Arithmetic working-memory paradigm

Solving multi-step number puzzles combines numerical judgment with holding and updating values in working memory. This exercise is practice at the kind of multi-step mental arithmetic used in everyday situations.

Everyday situations like this: Computing a multi-tier discount, splitting a complex bill, mental compounding on an interest question.

Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitive Neuropsychology, 20(3–6), 487–506. doi:10.1080/02643290244000239

Source Memory

played 1 time

Brain regions associated with this task type (in research): Prefrontal cortex · Medial temporal lobe

Cognitive construct (CHC): Long-term storage and retrieval (Gl) — source monitoring

Task format modeled on: Source Monitoring Framework

Source memory is recalling WHERE you learned something, not just THAT you learned it. It is a well-studied construct in memory research and relates to the "misinformation" effect — sometimes remembering content while misremembering its source. This exercise is practice at tracking the source of what you learn.

Everyday situations like this: Knowing whether the doctor or the nurse said something, distinguishing a real news story from a forwarded one, recalling which spouse told you the appointment time.

Johnson, M. K., Hashtroudi, S., & Lindsay, D. S. (1993). Source monitoring. Psychological Bulletin, 114(1), 3–28. doi:10.1037/0033-2909.114.1.3

Selective Listening

played 1 time

Brain regions associated with this task type (in research): Auditory cortex (right superior temporal gyrus) · Prefrontal cortex

Cognitive construct (CHC): Attention — selective auditory attention

Task format modeled on: Dichotic listening / "cocktail party effect"

Tracking one voice while ignoring another — the "cocktail party effect" — is a classic task format in attention research. This exercise is practice at directing attention to a target voice among distractions.

Everyday situations like this: Following one speaker at a family dinner, hearing your pharmacist over background noise, picking out a turn-by-turn instruction over the radio.

Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. Journal of the Acoustical Society of America, 25(5), 975–979. doi:10.1121/1.1907229

Syllogism Evaluation

played 2 times

Brain regions associated with this task type (in research): Left inferior frontal gyrus · Dorsolateral prefrontal cortex

Cognitive construct (CHC): Fluid reasoning (Gf) — deductive reasoning

Task format modeled on: Categorical syllogism evaluation

Evaluating "All X are Y; some Y are Z; therefore some X are Z" pits a fast believability heuristic against slower logical analysis. Syllogism evaluation is a standard deductive-reasoning task format. This exercise is practice at checking whether a conclusion actually follows.

Everyday situations like this: Catching a logical jump in a sales pitch, evaluating an argument in a news article, spotting a false-equivalence claim.

Johnson-Laird, P. N. (1983). Mental models: towards a cognitive science of language, inference, and consciousness. Harvard University Press.

Analogical Reasoning

played 2 times

Brain regions associated with this task type (in research): Left rostrolateral prefrontal cortex · Inferior parietal lobule

Cognitive construct (CHC): Fluid reasoning (Gf) + Crystallized intelligence (Gc) — analogy

Task format modeled on: Componential analysis of analogies

"A is to B as C is to ?" involves four steps: encoding the terms, inferring the A-B relation, mapping it to C, and applying it. Analogy is a long-studied reasoning task format. This exercise is practice at relational reasoning.

Everyday situations like this: Understanding metaphors, transferring a familiar skill to a new tool, explaining a new concept by analogy to something familiar.

Sternberg, R. J. (1977). Component processes in analogical reasoning. Psychological Review, 84(4), 353–378. doi:10.1037/0033-295X.84.4.353

Word Definition Match

played 1 time

Brain regions associated with this task type (in research): Left temporal pole · Inferior frontal gyrus

Cognitive construct (CHC): Crystallized intelligence (Gc) — vocabulary breadth

Task format modeled on: WAIS Vocabulary subtest

Vocabulary is the most stable cognitive skill across the adult lifespan — it actually peaks in the 60s. The WAIS Vocabulary subtest is among the highest-loading measures of general intelligence (g).

Everyday situations like this: Understanding precise language in a contract, expressing fine shades of meaning, comprehending a New York Times editorial.

Wechsler, D. (2008). Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV). Pearson Assessment.

6. Recent Session Log (last 30)

What you trained and which domain it most stressed — not raw session IDs.

DateActivityPrimary domainScore
Jul 28, 2026 Selective Attention Attention & Focus 75 / 100
Jul 28, 2026 Synonym Chains Word Retrieval 76 / 100
Jul 26, 2026 Financial Reasoning Reasoning & Logic 75 / 100
Jul 25, 2026 Story Retelling Memory Recall 73 / 100
Jul 23, 2026 Mental Rotation Spatial Processing 75 / 100
Jul 22, 2026 Visual Search Processing Speed 72 / 100
Jul 22, 2026 Tip-of-the-Tongue Word Retrieval 76 / 100
Jul 20, 2026 Name-Face Association Memory Recall 74 / 100
Jul 19, 2026 Scam Detection Reasoning & Logic 75 / 100
Jul 18, 2026 Daily Session — balanced 6-domain set Attention & Focus 72 / 100
Jul 15, 2026 Map Reading Spatial Processing 73 / 100
Jul 15, 2026 Number Comparison Processing Speed 73 / 100
Jul 13, 2026 Selective Attention Attention & Focus 73 / 100
Jul 13, 2026 Synonym Chains Word Retrieval 74 / 100
Jul 11, 2026 Financial Reasoning Reasoning & Logic 74 / 100
Jul 10, 2026 Story Retelling Memory Recall 74 / 100
Jul 9, 2026 Mental Rotation Spatial Processing 74 / 100
Jul 7, 2026 Tip-of-the-Tongue Word Retrieval 72 / 100
Jul 6, 2026 Visual Search Processing Speed 72 / 100
Jul 4, 2026 Name-Face Association Memory Recall 71 / 100
Jul 3, 2026 Scam Detection Reasoning & Logic 72 / 100
Jul 2, 2026 Daily Session — balanced 6-domain set Attention & Focus 73 / 100
Jul 1, 2026 Number Comparison Processing Speed 71 / 100
Jun 29, 2026 Map Reading Spatial Processing 74 / 100
Jun 27, 2026 Synonym Chains Word Retrieval 72 / 100
Jun 26, 2026 Financial Reasoning Reasoning & Logic 73 / 100
Jun 26, 2026 Selective Attention Attention & Focus 72 / 100
Jun 25, 2026 Story Retelling Memory Recall 72 / 100
Jun 22, 2026 Mental Rotation Spatial Processing 73 / 100
Jun 21, 2026 Visual Search Processing Speed 70 / 100

7. References

Citations from the per-lesson breakdown above plus the foundational reviews this report draws on. APA format; DOI links open in a new tab.

  1. Berg, E. A. (1948). A simple objective technique for measuring flexibility in thinking. Journal of General Psychology, 39(1), 15–22. https://doi.org/10.1080/00221309.1948.9918159
  2. Bowden, E. M., & Beeman, M. J. (1998). Getting the right idea: semantic activation in the right hemisphere may help solve insight problems. Psychological Science, 9(6), 435–440. https://doi.org/10.1111/1467-9280.00082
  3. Brown, R., & McNeill, D. (1966). The "tip of the tongue" phenomenon. Journal of Verbal Learning and Verbal Behavior, 5(4), 325–337. https://doi.org/10.1016/S0022-5371(66)80040-3
  4. Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: a temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102. https://doi.org/10.1111/j.1467-9280.2008.02209.x
  5. Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. Journal of the Acoustical Society of America, 25(5), 975–979. https://doi.org/10.1121/1.1907229
  6. Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428. https://doi.org/10.1037/0033-295X.82.6.407
  7. Dehaene, S. (1992). Varieties of numerical abilities. Cognition, 44(1–2), 1–42. https://doi.org/10.1016/0010-0277(92)90049-N
  8. Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitive Neuropsychology, 20(3–6), 487–506. https://doi.org/10.1080/02643290244000239
  9. Eichenbaum, H. (2014). Time cells in the hippocampus: a new dimension for mapping memories. Nature Reviews Neuroscience, 15(11), 732–744. https://doi.org/10.1038/nrn3827
  10. Federal Trade Commission (2016). Lumos Labs, Inc. (Lumosity) — Stipulated Final Judgment and Order. FTC File No. 132 3212 (settlement: $2 million civil penalty).
  11. Horswill, M. S., & McKenna, F. P. (2004). Drivers' hazard perception ability: situation awareness on the road. In S. Banbury & S. Tremblay (Eds.), A cognitive approach to situation awareness (pp. 155–175). Ashgate.
  12. Iaria, G., Petrides, M., Dagher, A., Pike, B., & Bohbot, V. D. (2003). Cognitive strategies dependent on the hippocampus and caudate nucleus in human navigation. Journal of Neuroscience, 23(13), 5945–5952. https://doi.org/10.1523/JNEUROSCI.23-13-05945.2003
  13. Johnson-Laird, P. N. (1983). Mental models: towards a cognitive science of language, inference, and consciousness. Harvard University Press.
  14. Johnson, M. K., Hashtroudi, S., & Lindsay, D. S. (1993). Source monitoring. Psychological Bulletin, 114(1), 3–28. https://doi.org/10.1037/0033-2909.114.1.3
  15. Kintsch, W. (1988). The role of knowledge in discourse comprehension: a construction-integration model. Psychological Review, 95(2), 163–182. https://doi.org/10.1037/0033-295X.95.2.163
  16. Livingston, G., Huntley, J., Liu, K. Y., Costafreda, S. G., Selbæk, G., Alladi, S., et al. (2024). Dementia prevention, intervention, and care: 2024 report of the Lancet Standing Commission. The Lancet, 404(10452), 572–628. https://doi.org/10.1016/S0140-6736(24)01296-0
  17. Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5
  18. McGrew, K. S. (2009). CHC theory and the human cognitive abilities project: standing on the shoulders of the giants of psychometric intelligence research. Intelligence, 37(1), 1–10. https://doi.org/10.1016/j.intell.2008.08.004
  19. Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158
  20. Moyer, R. S., & Landauer, T. K. (1967). Time required for judgements of numerical inequality. Nature, 215(5109), 1519–1520. https://doi.org/10.1038/2151519a0
  21. Newell, A., & Simon, H. A. (1972). Human problem solving. Prentice-Hall.
  22. Nutbeam, D. (2008). The evolving concept of health literacy. Social Science & Medicine, 67(12), 2072–2078. https://doi.org/10.1016/j.socscimed.2008.09.050
  23. Pashler, H. (1994). Dual-task interference in simple tasks: data and theory. Psychological Bulletin, 116(2), 220–244. https://doi.org/10.1037/0033-2909.116.2.220
  24. Raven, J. C. (1938). Standard Progressive Matrices: Sets A, B, C, D, and E. H. K. Lewis.
  25. Raven, J., Raven, J. C., & Court, J. H. (1998). Manual for Raven's Progressive Matrices and Vocabulary Scales. Oxford Psychologists Press.
  26. Rebok, G. W., Ball, K., Guey, L. T., Jones, R. N., Kim, H. Y., King, J. W., et al. (2014). Ten-year effects of the Advanced Cognitive Training for Independent and Vital Elderly cognitive training trial on cognition and everyday functioning in older adults. Journal of the American Geriatrics Society, 62(1), 16–24. https://doi.org/10.1111/jgs.12607
  27. Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., et al. (2011). Face-name associative memory performance is related to amyloid burden in normal elderly. Neuropsychologia, 49(9), 2776–2783. https://doi.org/10.1016/j.neuropsychologia.2011.06.006
  28. Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. https://doi.org/10.1111/j.1467-9280.2006.01693.x
  29. Rosvold, H. E., Mirsky, A. F., Sarason, I., Bransome, E. D., & Beck, L. H. (1956). A continuous performance test of brain damage. Journal of Consulting Psychology, 20(5), 343–350. https://doi.org/10.1037/h0043220
  30. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428. https://doi.org/10.1037/0033-295X.103.3.403
  31. Salthouse, T. A. (2010). Selective review of cognitive aging. Journal of the International Neuropsychological Society, 16(5), 754–760. https://doi.org/10.1017/S1355617710000706
  32. Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701–703. https://doi.org/10.1126/science.171.3972.701
  33. Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016). Do "brain-training" programs work?. Psychological Science in the Public Interest, 17(3), 103–186. https://doi.org/10.1177/1529100616661983
  34. Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied, 74(11), 1–29. https://doi.org/10.1037/h0093759
  35. Spreng, R. N., Cassidy, B. N., Darboh, B. S., DuPre, E., Lockrow, A. W., Setton, R., & Turner, G. R. (2017). Financial exploitation is associated with structural and functional brain differences in healthy older adults. Journals of Gerontology Series A, 72(10), 1365–1368. https://doi.org/10.1093/gerona/glx051
  36. Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47(10), 2015–2028. https://doi.org/10.1016/j.neuropsychologia.2009.03.004
  37. Sternberg, R. J. (1977). Component processes in analogical reasoning. Psychological Review, 84(4), 353–378. https://doi.org/10.1037/0033-295X.84.4.353
  38. Sternberg, R. J., & Powell, J. S. (1983). Comprehending verbal comprehension. American Psychologist, 38(8), 878–893. https://doi.org/10.1037/0003-066X.38.8.878
  39. Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/10.1037/h0054651
  40. Tombaugh, T. N., Kozak, J., & Rees, L. (1999). Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Archives of Clinical Neuropsychology, 14(2), 167–177. https://doi.org/10.1093/arclin/14.2.167
  41. Toulmin, S. E. (1958). The uses of argument. Cambridge University Press.
  42. Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136. https://doi.org/10.1016/0010-0285(80)90005-5
  43. Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47(2), 599–604. https://doi.org/10.2466/pms.1978.47.2.599
  44. Wason, P. C. (1968). Reasoning about a rule. Quarterly Journal of Experimental Psychology, 20(3), 273–281. https://doi.org/10.1080/14640746808400161
  45. Wechsler, D. (2009). Wechsler Memory Scale, Fourth Edition (WMS-IV). Pearson Assessment.
  46. Wechsler, D. (2008). Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV). Pearson Assessment.
  47. World Health Organization (2019). Risk reduction of cognitive decline and dementia: WHO guidelines. WHO Press, Geneva.

8. About This Report

BrainSharp 50+ is a subscription cognitive-fitness and educational platform operated by Advanced Learning Academy LLC (Carmel, Indiana). Content authored by Timothy E. Parker, Guinness World Records Puzzle Master. The report draws on general, educational per-lesson cognitive-science notes in src/cognitive-science.js and reflects the user's own session and lesson history. It is not a medical or clinical document.

More on methodology: https://50plusbrainsharp.com/methodology

← Back to Your Dashboard

© 1996–2026 AdvancedLearning.Academy · A syndicated site of 50plusHub.com · This report is not a medical document.