This is exactly what your real BrainSharp 50+ Scientific Brain-Training Report looks like — same template, every section. Your version will use your own training data and your own lesson history.
Live data · updated Mon, Jun 15, 11:58 AM
Brain Age here is a relative training metric — it is not the MRI-derived "brain age" used in research (Cole & Franke, 2017). Percentile is computed against the BrainSharp user base, not a 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)
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.
This chart shows how your training time has been distributed across the six cognitive domains over your most-recent 30 lessons. Balanced training across domains is associated with better preservation of everyday function in older adults; over-training a single domain produces narrow gains that do not transfer.
Reference: Hertzog et al., 2008, Psychological Science in the Public Interest.
| Region (BrainSharp label) | Cognitive construct (CHC taxonomy) | Score | 30-day Ξ |
|---|---|---|---|
| Memory Recall | Gl β Long-term storage and retrieval (episodic + associative) | 63/100 | +6 |
| Processing Speed | Gs β Cognitive processing speed (perceptual speed) | 67/100 | +6 |
| Attention & Focus | Executive function β sustained, selective, divided attention | 70/100 | +6 |
| Reasoning & Logic | Gf β Fluid reasoning (inductive + deductive) | 75/100 | +7 |
| Word Retrieval | Gc β Crystallized intelligence (lexical retrieval + semantic memory) | 77/100 | +7 |
| Spatial Processing | Gv β Visualization (mental rotation + allocentric navigation) | 64/100 | +5 |
The Cattell-Horn-Carroll (CHC) taxonomy is the dominant framework in modern psychometric research (McGrew, 2009). "30-day Ξ" 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.
Holding on to and recalling information β names, lists, instructions, where you put things.
In daily life: Remembering a doctorβs instructions, a name at a gathering, or your shopping list without writing it down.
Train it with: Name-Face Β· Grocery Chunking Β· Story Retelling Β· Source Memory
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 Β· Rapid Categorization Β· Visual Search Β· Speed Sort
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 Β· Selective Listening Β· Dual Task Β· Sustained Vigilance
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 Β· Scam Detection Β· Financial Reasoning Β· Argument Evaluation
Finding the exact word you want, quickly.
In daily life: Beating the βtip of the tongueβ feeling and telling a story without losing your thread.
Train it with: Tip of Tongue Β· Synonym Chains Β· Category Fluency Β· Word Definition Match
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 Β· Mirror Image Β· Map Reading Β· Driving Hazard
| Region | Start | Now | Change | |
|---|---|---|---|---|
| Memory Recall | 61% | β | 63% | β² +2 |
| Processing Speed | 59% | β | 67% | β² +8 |
| Attention & Focus | 63% | β | 70% | β² +7 |
| Reasoning & Logic | 73% | β | 75% | β² +2 |
| Word Retrieval | 72% | β | 77% | β² +5 |
| Spatial Processing | 59% | β | 64% | β² +5 |
For each lesson you've played, what cognitive system it loaded, the published experimental paradigm it's modeled on, and what real-world ability that paradigm predicts.
Brain regions activated: Right parietal cortex · Superior parietal lobule · Premotor cortex
Cognitive construct (CHC): Visualization (Gv) β spatial reasoning
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 β a hallmark of analog spatial processing.
Everyday transfer: 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), 701β703. doi:10.1126/science.171.3972.701
Brain regions activated: Right parietal cortex · Occipital cortex · Inferior temporal gyrus
Cognitive construct (CHC): Visualization (Gv) β spatial visualization
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) β a function lateralized to the right hemisphere.
Everyday transfer: 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), 599β604. doi:10.2466/pms.1978.47.2.599
Brain regions activated: Intraparietal sulcus · Anterior cingulate
Cognitive construct (CHC): Processing speed (Gs) β perceptual speed
Modeled on: Symbolic numerical magnitude comparison
Comparing two numbers engages a number-specific representation in the intraparietal sulcus. The classic "distance effect" β faster comparisons for numbers further apart β appears here. Processing speed is the cognitive ability that declines earliest with age.
Everyday transfer: 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), 1519β1520. doi:10.1038/2151519a0
Brain regions activated: Dorsolateral prefrontal cortex · Parietal cortex
Cognitive construct (CHC): Fluid reasoning (Gf) β inductive reasoning
Modeled on: Raven's Progressive Matrices analog
Inferring the next item in a pattern requires holding multiple candidate rules in working memory and testing them against the data. Fluid reasoning peaks in the 20s and declines steadily β but training preserves it longer than any other cognitive domain.
Everyday transfer: 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.
Brain regions activated: Left medial temporal lobe · Inferior frontal gyrus · Angular gyrus
Cognitive construct (CHC): Long-term storage and retrieval (Gl) β narrative episodic memory
Modeled on: Wechsler Memory Scale Logical Memory subtest
Retelling a story tests the binding of semantic content into an episodic narrative β exactly the construct measured by the most widely-used clinical memory subtest (WMS-IV Logical Memory).
Everyday transfer: 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.
Brain regions activated: Left inferior frontal gyrus · Temporal cortex
Cognitive construct (CHC): Long-term retrieval (Gl) β semantic fluency
Modeled on: Semantic Verbal Fluency Test
Naming as many items of a category as possible in 60 seconds is one of the most-used neuropsychological screens. It taps both stored knowledge (semantic memory) and active retrieval (executive control). It is highly sensitive to early Alzheimer's disease.
Everyday transfer: 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), 167β177. doi:10.1093/arclin/14.2.167
Brain regions activated: Right frontal cortex · Anterior cingulate · Locus coeruleus
Cognitive construct (CHC): Attention β sustained / vigilance
Modeled on: Continuous Performance Test (CPT)
The CPT measures the ability to maintain attention over time and respond only to rare targets. Performance depends on the noradrenergic system from the locus coeruleus and is sensitive to fatigue, attention disorders, and early dementia.
Everyday transfer: 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), 343β350. doi:10.1037/h0043220
Brain regions activated: Frontal eye fields · Posterior parietal cortex · Visual cortex
Cognitive construct (CHC): Processing speed (Gs) β visual attention
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 transfer: 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), 97β136. doi:10.1016/0010-0285(80)90005-5
Brain regions activated: Hippocampus · Fusiform face area · Anterior temporal lobe
Cognitive construct (CHC): Long-term storage and retrieval (Gl) β associative episodic memory
Modeled on: Face-Name Associative Memory Exam (FNAME)
Binding a face to a name requires the hippocampus to create a new associative link between a perceptual (fusiform face area) and a verbal (anterior temporal) representation. Face-name learning is one of the most sensitive early markers in Alzheimer's research.
Everyday transfer: 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), 2776β2783. doi:10.1016/j.neuropsychologia.2011.06.006
Brain regions activated: Hippocampus · Prefrontal cortex
Cognitive construct (CHC): Long-term retrieval (Gl) β temporal-order memory
Modeled on: Sequence-memory paradigm
Ordering events in time engages the hippocampus to construct relational structure and the prefrontal cortex to maintain order representations. Temporal-order memory declines earlier than item memory in normal aging.
Everyday transfer: 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), 732β744. doi:10.1038/nrn3827
Brain regions activated: Ventral occipitotemporal cortex · Prefrontal cortex
Cognitive construct (CHC): Processing speed (Gs) β semantic processing speed
Modeled on: Speeded semantic categorization
Categorizing objects under time pressure measures how quickly the visual system feeds into semantic memory. This pathway thins with age β training it pays dividends in everyday vigilance.
Everyday transfer: 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), 403β428. doi:10.1037/0033-295X.103.3.403
Brain regions activated: Dorsolateral prefrontal cortex · Anterior cingulate
Cognitive construct (CHC): Attention β divided / executive function
Modeled on: Dual-task interference paradigm
Performing two tasks simultaneously reveals the central bottleneck in human cognition β a serial response stage in the prefrontal cortex. Dual-task cost grows with age and predicts real-world falls and driving risk.
Everyday transfer: 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), 220β244. doi:10.1037/0033-2909.116.2.220
Brain regions activated: Hippocampus · Parahippocampal place area · Retrosplenial cortex
Cognitive construct (CHC): Visualization (Gv) β allocentric spatial cognition
Modeled on: Allocentric navigation paradigm
Map reading engages the hippocampus to build an "allocentric" world-centered representation, distinct from the "egocentric" body-centered representation the parietal cortex maintains. Older adults preferentially shift to egocentric strategies; training the allocentric mode is a key intervention target.
Everyday transfer: 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), 5945β5952. doi:10.1523/JNEUROSCI.23-13-05945.2003
Brain regions activated: Dorsolateral prefrontal cortex · Posterior parietal cortex
Cognitive construct (CHC): Short-term memory (Gwm) β working-memory chunking
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 transfer: 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), 81β97. doi:10.1037/h0043158
Brain regions activated: Intraparietal sulcus · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Quantitative reasoning (Gq) + working memory (Gwm)
Modeled on: Applied arithmetic + working memory
Scaling a recipe combines numerical reasoning with working memory updating. This dual demand is exactly what predicts everyday functional decline β a stronger marker than pure arithmetic ability.
Everyday transfer: 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(1β2), 1β42. doi:10.1016/0010-0277(92)90049-N
Brain regions activated: Anterior cingulate · Insula · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Fluid reasoning (Gf) + executive attention
Modeled on: Source-credibility / deception-cue detection
Spotting a scam requires detecting subtle inconsistencies in source and content β a process tied to the anterior insula's error-detection signal. Older adults show reduced insula activation to scam cues, a finding that may explain age-graded vulnerability to fraud.
Everyday transfer: 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), 1365β1368. doi:10.1093/gerona/glx051
Brain regions activated: Anterior cingulate · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Attention β selective / executive function
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 transfer: 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), 643β662. doi:10.1037/h0054651
Brain regions activated: Prefrontal cortex · Temporal-parietal junction
Cognitive construct (CHC): Fluid reasoning (Gf) β practical deduction
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 β evidence that reasoning is content-specific.
Everyday transfer: 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), 273β281. doi:10.1080/14640746808400161
Brain regions activated: Lateral prefrontal cortex · Temporal cortex
Cognitive construct (CHC): Crystallized intelligence (Gc) + fluid reasoning (Gf)
Modeled on: Toulmin argument structure analysis
Evaluating an argument requires identifying claim, grounds, warrant, and rebuttal β a structure formalized by Toulmin. This is the cognitive substrate of "critical thinking" and is the most reliably trainable executive skill.
Everyday transfer: 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.
Brain regions activated: Left temporal cortex · Inferior frontal gyrus · Hippocampus
Cognitive construct (CHC): Crystallized intelligence (Gc) + working memory (Gwm)
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 transfer: 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), 163β182. doi:10.1037/0033-295X.95.2.163
Brain regions activated: Left temporal cortex · Inferior frontal gyrus · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Crystallized intelligence (Gc) β applied reasoning
Modeled on: Health Literacy Framework (Nutbeam)
Health literacy integrates reading comprehension, numeracy (especially probability), and self-efficacy. Limited health literacy is independently associated with higher mortality in adults 65+ even after controlling for cognition and education.
Everyday transfer: 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), 2072β2078. doi:10.1016/j.socscimed.2008.09.050
Brain regions activated: Ventromedial prefrontal cortex · Insula · Striatum
Cognitive construct (CHC): Crystallized intelligence (Gc) + fluid reasoning (Gf)
Modeled on: Financial Literacy Big Three (Lusardi & Mitchell)
Financial reasoning combines numerical fluency, working memory, and risk evaluation. The ventromedial prefrontal cortex integrates value signals β and is one of the regions most affected by Alzheimer's pathology, which is why financial decision-making is an early functional marker.
Everyday transfer: 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), 5β44. doi:10.1257/jel.52.1.5
Brain regions activated: Left temporal cortex · Angular gyrus
Cognitive construct (CHC): Crystallized intelligence (Gc) β context-aided lexical access
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 transfer: 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), 878β893. doi:10.1037/0003-066X.38.8.878
Brain regions activated: Left inferior frontal gyrus · Insula
Cognitive construct (CHC): Long-term retrieval (Gl) β phonological retrieval
Modeled on: Tip-of-the-Tongue (TOT) State paradigm
The TOT state is the classic dissociation between knowing a word's meaning and accessing its phonological form. TOT frequency rises sharply after 60 and is one of the most common subjective cognitive complaints in older adults.
Everyday transfer: 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), 325β337. doi:10.1016/S0022-5371(66)80040-3
Brain regions activated: Left temporal cortex · Inferior frontal gyrus
Cognitive construct (CHC): Crystallized intelligence (Gc) β lexical-semantic network
Modeled on: Spreading-activation network theory
Producing synonyms taps the spreading-activation structure of the semantic network. The richness of a person's lexical network is a strong predictor of crystallized intelligence and a robust marker of cognitive reserve.
Everyday transfer: 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), 407β428. doi:10.1037/0033-295X.82.6.407
Brain regions activated: Posterior parietal cortex · Frontal eye fields · Cerebellum
Cognitive construct (CHC): Processing speed (Gs) + attention
Modeled on: Hazard Perception Test (Horswill & McKenna)
Hazard perception measures the speed of detecting developing dangers in a driving scene. It is one of the few cognitive measures that independently predicts older-driver crash risk and improves with targeted training.
Everyday transfer: 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. 155β175). Ashgate.
Brain regions activated: Dorsolateral prefrontal cortex · Parietal cortex
Cognitive construct (CHC): Fluid reasoning (Gf) β figural inductive reasoning
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 β what they test is the raw rule-extraction machinery of the prefrontal-parietal network.
Everyday transfer: 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.
Brain regions activated: Visual cortex · Posterior parietal cortex
Cognitive construct (CHC): Short-term memory (Gwm) β iconic / visual short-term memory
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 transfer: 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), 1β29. doi:10.1037/h0093759
Brain regions activated: Left inferior frontal gyrus · Visual word form area
Cognitive construct (CHC): Crystallized intelligence (Gc) β lexical access
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 transfer: 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), 435β440. doi:10.1111/1467-9280.00082
Brain regions activated: Anterior cingulate · Dorsolateral prefrontal cortex · Intraparietal sulcus
Cognitive construct (CHC): Processing speed (Gs) + attention
Modeled on: Wisconsin Card Sorting / speeded categorization
Sorting under time pressure engages categorization rules in the prefrontal cortex while suppressing prepotent responses. The classic Wisconsin Card Sorting Test, which is reduced in mild cognitive impairment, taps the same circuit.
Everyday transfer: 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), 15β22. doi:10.1080/00221309.1948.9918159
Brain regions activated: Dorsolateral prefrontal cortex · Parietal cortex
Cognitive construct (CHC): Fluid reasoning (Gf) β constraint-satisfaction
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 transfer: 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.
Brain regions activated: Intraparietal sulcus · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Quantitative reasoning (Gq) + working memory (Gwm)
Modeled on: Arithmetic working-memory paradigm
Solving multi-step number puzzles engages the intraparietal sulcus (numerical magnitude) and prefrontal cortex (working memory updating). Joint training of both is associated with stronger preservation of everyday numerical function.
Everyday transfer: 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(3β6), 487β506. doi:10.1080/02643290244000239
Brain regions activated: Prefrontal cortex · Medial temporal lobe
Cognitive construct (CHC): Long-term storage and retrieval (Gl) β source monitoring
Modeled on: Source Monitoring Framework
Source memory is recalling WHERE you learned something, not just THAT you learned it. It declines disproportionately with age and is the basis of "misinformation" vulnerability β the tendency to remember false content as if it came from a trusted source.
Everyday transfer: 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), 3β28. doi:10.1037/0033-2909.114.1.3
Brain regions activated: Auditory cortex (right superior temporal gyrus) · Prefrontal cortex
Cognitive construct (CHC): Attention β selective auditory attention
Modeled on: Dichotic listening / "cocktail party effect"
Tracking one voice while ignoring another β the "cocktail party effect" β engages a top-down attentional spotlight on the auditory cortex. Performance declines with age and is a strong correlate of presbycusis (age-related hearing loss).
Everyday transfer: 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), 975β979. doi:10.1121/1.1907229
Brain regions activated: Left inferior frontal gyrus · Dorsolateral prefrontal cortex
Cognitive construct (CHC): Fluid reasoning (Gf) β deductive reasoning
Modeled on: Categorical syllogism evaluation
Evaluating "All X are Y; some Y are Z; therefore some X are Z" engages two competing systems β a fast believability heuristic and a slow logical analysis. Older adults are more reliant on the heuristic system unless trained.
Everyday transfer: 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.
Brain regions activated: Left rostrolateral prefrontal cortex · Inferior parietal lobule
Cognitive construct (CHC): Fluid reasoning (Gf) + Crystallized intelligence (Gc) β analogy
Modeled on: Componential analysis of analogies
"A is to B as C is to ?" requires four steps: encoding, inferring the A-B relation, mapping to C, and applying. The rostrolateral prefrontal cortex coordinates these β it's the most age-sensitive prefrontal region.
Everyday transfer: 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), 353β378. doi:10.1037/0033-295X.84.4.353
Brain regions activated: Left temporal pole · Inferior frontal gyrus
Cognitive construct (CHC): Crystallized intelligence (Gc) β vocabulary breadth
Modeled on: WAIS Vocabulary subtest
Vocabulary is the most stable cognitive skill across the adult lifespan β it actually peaks in the 60s. The WAIS Vocabulary subtest is among the highest-loading measures of general intelligence (g).
Everyday transfer: 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.
| Date | Session | Score |
|---|---|---|
| Jun 13, 2026 | 168 | 74/100 |
| Jun 13, 2026 | 169 | 76/100 |
| Jun 11, 2026 | 167 | 74/100 |
| Jun 10, 2026 | 166 | 73/100 |
| Jun 8, 2026 | 165 | 75/100 |
| Jun 7, 2026 | 163 | 72/100 |
| Jun 7, 2026 | 164 | 75/100 |
| Jun 5, 2026 | 162 | 74/100 |
| Jun 4, 2026 | 161 | 75/100 |
| Jun 3, 2026 | 160 | 72/100 |
| May 31, 2026 | 158 | 72/100 |
| May 31, 2026 | 159 | 72/100 |
| May 29, 2026 | 156 | 72/100 |
| May 29, 2026 | 157 | 74/100 |
| May 27, 2026 | 155 | 73/100 |
| May 26, 2026 | 154 | 74/100 |
| May 25, 2026 | 153 | 73/100 |
| May 23, 2026 | 152 | 72/100 |
| May 22, 2026 | 151 | 71/100 |
| May 20, 2026 | 150 | 70/100 |
| May 19, 2026 | 149 | 71/100 |
| May 18, 2026 | 148 | 72/100 |
| May 17, 2026 | 147 | 71/100 |
| May 15, 2026 | 146 | 73/100 |
| May 13, 2026 | 145 | 72/100 |
| May 12, 2026 | 143 | 72/100 |
| May 12, 2026 | 144 | 71/100 |
| May 11, 2026 | 142 | 71/100 |
| May 8, 2026 | 141 | 73/100 |
| May 7, 2026 | 139 | 70/100 |
Citations from the per-lesson breakdown above plus the foundational reviews this report draws on. APA format; DOI links open in a new tab.
BrainSharp 50+ is a subscription cognitive-fitness platform operated by Advanced Learning Academy LLC (Carmel, Indiana). Content authored by Timothy E. Parker, Guinness World Records Puzzle Master. The report draws on per-lesson neuroscience annotations in src/cognitive-science.js and reflects the user's own session and lesson history.
More on methodology: https://50plusbrainsharp.com/methodology
© 1996–2026 AdvancedLearning.Academy · A syndicated site of 50plusHub.com · This report is not a medical document.