The Advantageous Brain Plan

did u loop overnight?

Perhaps sometimes but I don’t believe that’s a factor in it’s effectiveness being consistent with this brain field is the most important factor

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Soo, how can we actually Tell if the genes have been completely activated. Like when do we know we real the full benefits of this field? Or are we supposed to continuously use this?

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Earlier in the thread, Doc says:

Earlier too, he mentions that this is applying to the cellular level. So individual cells are being upgraded. If you get new brain cells (because you’re learning new things or brain wiring, presumably!) they’re not created with the ABP applied.

You will almost certainly want to occasionally use this field to upgrade all the new cells in your brain. I run it for a prolonged period at least once a week.

That said, you are likely to notice when a significant proportion of your brain has been appropriately ‘upgraded’. Needing less sleep or waking up less groggy is a very obvious indicator that’s been remarked on. Just personally, this field also improved my mood very noticeably, improved my focus and mental clarity and eased the pain/struggle of long brain wiring sessions in a big way.

Listening to it feels ‘nourishing’ and doesn’t keep you awake, so it fits nicely in an overnight stack.

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So they lowered the price for this nice broo

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Started using ABP again recently.
My brain feels super fluid and organised whenever I loop this one and I can’t get enough.
Really nice.
I will make an effort to use more often I think.

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@DR_MANHATTAN check the op again sir, theres seems to be the wrong Image

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@Enes
Yeah @Matt1 told me, I forgot.


adding it to the OP too

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i read in one of the infographics that 75% of our intelligence is genetic. Does ABP cover that 75 percent?

Do wiring fields and boosters have an effect on these genetics?

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@toby do you mind if I use your post as the op of a new thread ?

It’s a good question and I should have explained it better. I’d like to go into it.

I’ll just do it :slight_smile:

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yes absolutely

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@toby
Oh, I just realized I didn’t make a infographic for the DNA-related fields, I did wiring and Growth triggers only.

I prefer to release everything at once, but I’ll make it soon. It’s an oversight on my part.

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i thought this was interesting

the genes and their demographics

The prevalence of genetic variations related to cognitive function, memory, mood, and attention—such as those affecting COMT, DRD2, SLC6A4, and others—can indeed vary across demographics due to natural genetic diversity. Here’s an overview of how some of these genetic regulations show demographic patterns:

  1. COMT (Catechol-O-methyltransferase)

    • Variation: The COMT gene has a well-known polymorphism (Val158Met) that affects dopamine breakdown speed. Individuals with the Met/Met genotype tend to have slower dopamine metabolism, leading to higher dopamine levels in the prefrontal cortex, which may benefit working memory and executive function but also increase stress sensitivity.
    • Demographics: This polymorphism is distributed differently worldwide, with the Met/Met genotype more common in Asian populations, while the Val/Val genotype is more prevalent in African populations. European populations show a mix of both genotypes.

  2. DRD2 and DRD4 (Dopamine Receptors)

    • Variation: DRD2 and DRD4 have variants that influence dopamine sensitivity and reward processing. The DRD4 gene, for example, has a variant known as the 7-repeat allele, which has been associated with novelty-seeking behavior and attention-deficit hyperactivity disorder (ADHD).
    • Demographics: The 7-repeat allele of DRD4 is more common in populations with historical migratory or exploratory backgrounds, such as certain Indigenous American groups. This allele is relatively less common in East Asian populations, where the 4-repeat allele (linked to lower novelty-seeking behavior) is more prevalent.

  3. SLC6A4 (Serotonin Transporter)

    • Variation: SLC6A4 has a polymorphism known as 5-HTTLPR, which has short (s) and long (l) alleles that affect serotonin transporter efficiency. Individuals with the s/s genotype may have a greater susceptibility to anxiety and depression under stress, while the l/l genotype is generally linked to greater resilience.
    • Demographics: The short allele (s) is more common in East Asian populations, with around 70-80% prevalence, compared to about 40-50% in European populations. African populations tend to have a higher prevalence of the long (l) allele.

  4. HTR2A (Serotonin Receptor)

    • Variation: Variants in HTR2A influence serotonin receptor function, impacting mood and cognitive flexibility. The T102C polymorphism, for instance, has been studied for its links to mood disorders and response to antidepressants.
    • Demographics: The T allele is more common in European and Asian populations, while the C allele is more frequent in African populations. This distribution may partly explain demographic differences in mood disorder prevalence and antidepressant response.

  5. KIBRA (Kidney and Brain Protein)

    • Variation: KIBRA’s T allele has been associated with better memory performance. This gene affects synaptic plasticity and has been linked to episodic memory retention.
    • Demographics: The T allele is more commonly found in European populations, where it may contribute to memory advantages in individuals carrying this variant. In contrast, this variant is less prevalent in East Asian populations.

  6. ADRA2A (Adrenergic Receptor Alpha-2A)

    • Variation: Variants in ADRA2A are associated with attention regulation and impulsivity. The G allele of a common ADRA2A variant has been linked to increased impulsivity and is often studied in the context of ADHD.
    • Demographics: This variant is more prevalent in European populations, while it appears at lower frequencies in African and East Asian groups. This might be one factor contributing to observed demographic differences in ADHD prevalence and impulsivity.

  7. OPRM1 (Opioid Receptor)

    • Variation: The A118G polymorphism in OPRM1 affects the sensitivity to opioids and pain perception. The G allele is associated with a reduced response to opioids and has been linked to different pain tolerance levels.
    • Demographics: The G allele is more common in Asian populations and less prevalent in African populations. This difference is notable in medical contexts, as it may influence opioid dosing and pain management across demographics.

  8. NMDAR, AMPAR, GRM1 (Glutamate Receptors)

    • Variation: Variants in glutamate receptors can affect learning and memory. Polymorphisms in NMDAR and AMPAR genes are associated with cognitive flexibility and synaptic plasticity.
    • Demographics: While these variants are present globally, certain polymorphisms appear more frequently in East Asian populations, where they may contribute to subtle differences in learning style and cognitive processing.

  9. HCRT1 and HCRT2 (Orexin Receptors)

    • Variation: Variants in orexin genes affect wakefulness and alertness. Orexin receptor gene polymorphisms are being studied for their links to sleep disorders like narcolepsy.
    • Demographics: Certain orexin receptor gene variants are more common in European populations, where narcolepsy is more prevalent. Other variants affecting orexin systems may influence energy levels and alertness across populations.

  10. NTRK2 (Neurotrophic Receptor Tyrosine Kinase 2)

    • Variation: Variants in NTRK2, which encodes the receptor for brain-derived neurotrophic factor (BDNF), can affect neuroplasticity and resilience to stress. BDNF is crucial for learning and memory, and its activity is modulated by NTRK2.
    • Demographics: BDNF variants that affect NTRK2 binding are more commonly found in Asian populations, where they may impact stress response and resilience to environmental challenges.

These demographic patterns offer insights into how genetic diversity influences brain function and behavior across populations. Such variations contribute to different susceptibilities to mental health conditions, cognitive styles, and even responses to medications, reflecting a complex interplay of genetic, environmental, and cultural factors. While these trends are generally observed at the population level, individual genetic makeup can vary widely within any demographic.

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