Empathy, value, pain, control: Psychological functions of the human striatum

This 2016 US human study found:

“A link between existing data on the anatomical and physiological characteristics of striatal regions and psychological functions.

Because we did not limit our metaanalysis to studies that specifically targeted striatal function, our results extend previous knowledge of the involvement of the striatum in reward-related decision-making tasks, and provide a detailed functional map of regional specialization for diverse psychological functions, some of which are sometimes thought of as being the exclusive domain of the PFC [prefrontal cortex].”

The analysis led to dividing the striatum into five segments:

Ventral striatum (VS):

  • Stimulus Value
  • Terms such as “reward,” “losses,” and “craving”
  • The most representative study reported that monetary and social rewards activate overlapping regions within the VS.
  • Together with the above finding of a reliable coactivation with OFC [orbitofrontal cortex] and ventromedial PFC, this finding suggests a broad involvement of this area in representing stimulus value and related stimulus-driven motivational states.

Anterior caudate (Ca) Nucleus:

  • Incentive Behavior
  • Terms such as “grasping,” “reaching,” and “reinforcement”
  • The most representative study reported a stronger blood-oxygen level-dependent (BOLD) response in this region during trials in which participants had a chance of winning or losing money in a card guessing game, in comparison to trials where participants merely received feedback about the accuracy of their guess.
  • This result suggests a role in evaluating the value of different actions, contrasting with the above role of the VS in evaluating the value of stimuli.

Posterior putamen (Pp):

  • Sensorimotor Processes
  • Terms such as “foot,” “noxious,” and “taste”
  • The most representative study reported activation of this region in response to painful stimulation at the back of the left hand and foot of participants. Anatomically, the most reliable and specific coactivation is with sensorimotor cortices, and the posterior and midinsula and operculum (secondary somatosensory cortex SII) in particular, some parts of which are specifically associated with pain.
  • Together, these findings suggest a broad involvement of this area in sensorimotor functions, including aspects of their affective qualities.

Anterior putamen (Pa):

  • Social- and Language-Related Functions
  • Terms such as “read,” “vocal,” and “empathic”
  • The most representative study partially supports a role of this area in social- and language-related functions; it reported a stronger activation of the Pa in experienced singers, but not when novices were singing.
  • It is coactivated with frontal areas anterior to the ones coactivated with the Pp, demonstrating topography in frontostriatal associations. These anterior regions have been implicated in language processes.

Posterior caudate (Cp) Nucleus:

  • Executive Functions
  • Terms such as “causality,” “rehearsal,” and “arithmetic”
  • The representative study reported this region to be part of a network that included dorsolateral PFC and ACC, which supported inhibitory control and task set-shifting.
  • These results suggest a broad, and previously underappreciated, role for the Cp in cognitive control.

The authors presented comparisons of the above striatal segments with other analyses of striatal zones.


One of the coauthors was the lead researcher of the 2015 Advance science by including emotion in research. The current study similarly used a coactivation view rather than a connectivity paradigm of:

“Inferring striatal function indirectly via psychological functions of connected cortical regions.”

Another of the coauthors was a developer of the system used by the current study and by The function of the dorsal ACC is to monitor pain in survival contexts, and he provided feedback to those authors regarding proper use of the system.


The researchers’ “unbiased, data-driven approach” had to work around the cortical biases evident in many of the 5,809 human imaging studies analyzed. The authors referred to the biases in statements such as:

“The majority of studies investigating these psychological functions report activity preferentially in cortical areas, except for studies investigating reward-related and motor functions.”

The methods and results of research with cortical biases influenced the study’s use of:

“Word frequencies of psychological terms in the full text of studies, rather than a detailed analysis of psychological tasks and statistical contrasts.”

http://www.pnas.org/content/113/7/1907.full “Regional specialization within the human striatum for diverse psychological functions”

Advance science by including emotion in research

This 2015 analysis of emotion studies found:

“Emotion categories [fear, anger, disgust, sadness, and happiness] are not contained within any one region or system, but are represented as configurations across multiple brain networks.

For example, among other systems, information diagnostic of emotion category was found in both large, multi-functional cortical networks and in the thalamus, a small region composed of functionally dedicated sub-nuclei.

The dataset consists of activation foci from 397 fMRI and PET [positron emission tomography] studies of emotion published between 1990 and 2011.”

From the fascinating Limitations section:

“Our analyses reflect the composition of the studies available in the literature, and are subject to testing and reporting biases on the part of authors. This is particularly true for the amygdala (e.g., the activation intensity for negative emotions may be over-represented in the amygdala given the theoretical focus on fear and related negative states). Other interesting distinctions were encoded in the thalamus and cerebellum, which have not received the theoretical attention that the amygdala has and are likely to be bias-free.

Some regions—particularly the brainstem—are likely to be much more important for understanding and diagnosing emotion than is apparent in our findings, because neuroimaging methods are only now beginning to focus on the brainstem with sufficient spatial resolution and artifact-suppression techniques.

We should not be too quick to dismiss findings in ‘sensory processing’ areas, etc., as methodological artifacts. Emotional responses may be inherently linked to changes in sensory and motor cortical processes that contribute to the emotional response.

The results we present here provide a co-activation based view of emotion representation. Much of the information processing in the brain that creates co-activation may not relate to direct neural connectivity at all, but rather to diffuse modulatory actions (e.g., dopamine and neuropeptide release, much of which is extrasynaptic and results in volume transmission). Thus, the present results do not imply direct neural connectivity, and may be related to diffuse neuromodulatory actions as well as direct neural communication.”


Why did the researchers use only 397 fMRI and PET studies? Why weren’t there tens or hundreds of times more candidate studies from which to select?

The relative paucity of candidate emotion studies demonstrated the prevalence of other researchers’ biases for cortical brain areas. The lead researcher of the current study was a coauthor of the 2016 Empathy, value, pain, control: Psychological functions of the human striatum, whose researchers mentioned that even their analyses of 5,809 human imaging studies was hampered by other imaging-studies researchers’ cortical biases.

Functional MRI signals depend on the changes in blood flow that follow changes in brain activity. Study designers intentionally limit their findings when they scan brain areas and circuits that are possibly activated by human emotions, yet exclude emotional content that may activate these areas and circuits.

Here are a few examples of limited designs that led to limited findings when there was the potential for so much more:

It’s well past time to change these practices now in the current year.


This study provided many methodological tests that should be helpful for research that includes emotion. It showed that there aren’t impenetrable barriers – other than popular memes, beliefs, and ingrained dogmas – to including emotional content in studies.

Including emotional content may often be appropriate and informative, with the resultant findings advancing science. Here are a few recent studies that did so:

http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1004066 “A Bayesian Model of Category-Specific Emotional Brain Responses”

Chronic pain causes epigenetic changes in the brain and immune system

This 2015 Canadian rodent study by McGill researchers found:

“The critical involvement of DNA methylation in chronic pain. We show that in the PFC [prefrontal cortex], a brain region strongly implicated in chronic pain, a stunning number of promoters [control gene expression] are differentially methylated 9 months after injury. These changes are distant both in time and space from the original injury.

The changes in DNA methylation are highly organized in functional pathways that have been implicated in pain such as dysregulation of dopaminergic, glutamatergic, opioid and serotoninergic systems and important signaling and inflammatory pathways.

Genome-wide DNA methylation modifications of T cells [circulating white blood cells that control immune response] are also associated with nerve injury.

Most of the promoters (72%) identified as differentially methylated in T cells after nerve injury were also affected in the brain. While the methylation profiles in some of these modules were affected in the same direction in the brain and the T cells, others went in opposite direction. This is consistent with the idea that the brain and the immune system play different roles in chronic pain.

These data suggest that:

  • Persistent pain is associated with broad and highly organized organism-wide changes in DNA methylation, including two critical biological systems: the central nervous and immune systems.
  • This work also provides a possible mechanistic explanation for commonly observed comorbidities observed in chronic pain (i.e anxiety, depression).
  • Finally, the sheer magnitude of the impact of chronic pain, particularly in the prefrontal cortex, illustrates the profound impact that living with chronic pain exerts on an individual.”

http://www.nature.com/articles/srep19615 “Overlapping signatures of chronic pain in the DNA methylation landscape of prefrontal cortex and peripheral T cells”


The news coverage focused on how the study’s findings may lead to non-invasive DNA methylation measurements of chronic pain as well as treatments of the effects. I’d argue that the researchers’ concluding statement of the Discussion section deserved the most focus:

“Beyond the example of chronic pain, the robust and highly organized DNA methylation changes seen here in response to nerve injury provides some of the strongest evidence to date that experience effects DNA methylation landscapes at large distances in time and space.”

The study provided “some of the strongest evidence to date” that experiences caused widespread, long-lasting epigenetic changes. Given experiences’ etiologic functions, research with working hypotheses that experiences may also reverse epigenetic changes should be green-lighted.

“DNA methylation landscapes at large distances in time and space” warrant systematic examination of how experiential epigenetic changes during early life may be reversed by experiential therapies later in life. In the current year, there’s sufficient evidence for modifying research goals to primarily address causes, not just effects.

Stress consequences on gut bacteria, behavior, immune system, and neurologic function

This 2015 Canadian rodent study found:

“Chronic social defeat induced behavioral changes that were associated with reduced richness and diversity of the gut microbial community.

The degree of deficits in social, but not exploratory behavior, was correlated with group differences between the microbial community profile.

Defeated mice also exhibited reduced abundance of pathways involved in biosynthesis and metabolism of tyrosine and tryptophan: molecules that serve as precursors for synthesis of dopamine, norepinephrine, serotonin, and melatonin, respectively.

This study indicates that stress-induced disruptions in neurologic function are associated with altered immunoregulatory responses.”

These researchers had an extensive Discussion section where they placed study findings in contexts with other rodent and human studies. For example:

“Our analyses also predicted reduced frequency of fatty acid biosynthesis and metabolism pathways, including that of propanoate and butanoate – byproducts of dietary carbohydrate fermentation by intestinal microorganisms.

Butyrate is a potent histone deacetylase (HDAC) inhibitor that exerts antidepressant-like effects by increasing histone acetylation in the frontal cortex and hippocampus, and consequentially, raising BDNF transcript levels.

Although it was previously unclear whether systemic levels of these metabolites achieved in vivo were sufficient to produce behavioral changes, progress has been made by discovering their presence in cerebrospinal fluid and the brain, and demonstrating that colon-derived SCFAs [short chain fatty acids] cross the blood–brain barrier and preferentially accumulate in the hypothalamus, where they can affect CNS activity.”

http://www.psyneuen-journal.com/article/S0306-4530%2815%2900934-8/fulltext “Structural & functional consequences of chronic psychosocial stress on the microbiome & host”

A problematic study of beliefs and dopamine

This 2015 Virginia Tech human study found:

“Dopamine fluctuations encode an integration of RPEs [reward prediction errors, the difference between actual and expected outcomes] with counterfactual prediction errors, the latter defined by how much better or worse the experienced outcome could have been.

How dopamine fluctuations combine the actual and counterfactual is unknown.”

From the study’s news coverage:

“The idea that “what could have been” is part of how people evaluate actual outcomes is not new. But no one expected that dopamine would be doing the job of combining this information in the human brain.”

Some caveats applied:

  • Measurements of dopamine were taken only from basal ganglia areas. These may not act the same as dopamine processes in other brain and nervous system areas.
  • The number of subjects was small (17), they all had Parkinson’s disease, and the experiment’s electrodes accompanied deep brain stimulation implantations.
  • Because there was no control group, findings of a study performed on a sample of people who all had dysfunctional brains and who were all being treated for neurodegenerative disease may not apply to a population of people who weren’t similarly afflicted.

The researchers didn’t provide evidence for the Significance section statement:

“The observed compositional encoding of “actual” and “possible” is consistent with how one should “feel” and may be one example of how the human brain translates computations over experience to embodied states of subjective feeling.”

The subjects weren’t asked for corroborating evidence about their feelings. Evidence for “embodied states of subjective feeling” wasn’t otherwise measured in studied brain areas. The primary argument for “embodied states of subjective feeling” was the second paragraph of the Discussion section where the researchers talked about their model and how they thought it incorporated what people should feel.

The study’s experimental evidence didn’t support the researchers’ assertion – allowed by the reviewer – that the study demonstrated something about “states of subjective feeling.” That the model inferred such “findings” along with the researchers’ statement that it “is consistent with how one should “feel” reminded me of a warning in The function of the dorsal ACC is to monitor pain in survival contexts:

“The more general message you should take away from this is that it’s probably a bad idea to infer any particular process on the basis of observed activity.”


The same researcher who hyped An agenda-driven study on beliefs, smoking and addiction that found nothing of substance was back again with statements such as:

“These precise, real-time measurements of dopamine-encoded events in the living human brain will help us understand the mechanisms of decision-making in health and disease.”

It’s likely that repeated hubris is one way researchers respond to their own history and feelings, such as their need to feel important as mentioned on my Welcome page.

The Parkinson’s patients were willing to become lab rats with extra electrodes that accompanied brain implantations to relieve their symptoms. Findings based on their playing a stock market game didn’t inform us about “mechanisms of decision-making in health and disease” in unafflicted humans. As one counter example, what evidence did the study provide that’s relevant to healthy humans’ decisions to remain healthy by taking actions to prevent disease?

The unwarranted extrapolations revealed a belief that the goal of research should be to explain human actions by explaining the actions of molecules. One problem caused by the preconceptions of this widespread belief is that it leads to study designs and models that omit relevant etiologic evidence embedded in each of the subjects’ historical experiences.

This belief may have factored into why the subjects weren’t asked about their feelings. Why didn’t the study’s design consider as relevant subject-provided evidence for feelings? Because the model already contrived explanations for feelings underlying the subjects’ actions.

http://www.pnas.org/content/113/1/200.full “Subsecond dopamine fluctuations in human striatum encode superposed error signals about actual and counterfactual reward”

Brain-region-specific energy metabolism affected the social competitiveness of highly-anxious rats

This 2015 Swiss rodent study found:

Mitochondrial function in the nucleus accumbens, a brain region relevant for motivation and depression, is a critical mediating factor in the subordinate status displayed by high-anxious rats.

Treatment with nicotinamide, an amide form of vitamin B3 that boosts mitochondrial respiration, into the NAc [nucleus accumbens] of high-anxious rats at a time point before the social encounter and at a dose that increased accumbal mitochondrial respiration, abolished the disadvantage of high-anxious animals to become dominant against low-anxious animals.

Our findings highlight a key role for brain energy metabolism in social behavior and point to mitochondrial function in the nucleus accumbens as a potential marker and avenue of treatment for anxiety-related social disorders.”

The researchers handled individual differences of the outbred subjects by separating them into high-, intermediate-, and low-anxiety categories according to their responses on two tests. The high- and low-anxiety subjects were matched by weight, age, and social experience.

Here are a few examples of the researchers thoroughly ruling out confounding factors:

“Differences in social competitiveness are not related to overall differences in social motivation or sociability.


Although social competition did significantly increase corticosterone compared with baseline levels, there were no significant differences between anxiety groups at either time point.


Microinfusion of either ROT, MA, or 3NP [mitochondrial respiration inhibitors] reduced the success of treated animals to win the social contest.

Importantly, these treatments did not induce side effects on social investigation or auto-grooming during social competition, or alter locomotor activity, anxiety, or sociability in additional experiments.

Furthermore, these inhibitor treatments did not produce neurotoxic effects, as the drugs were infused at low doses and we confirmed the absence of lesion and neuronal death.

The effects of complex I or complex II inhibition on social competition were specific for the NAc, as infusions of the same inhibitors into the BLA [basolateral amygdala] had no effect on social dominance and did not affect general locomotor activity.

We further showed that, unlike infusion of muscimol [a GABA receptor agonist] in the BLA that interferes with BLA-dependent auditory fear conditioning, 3NP did not affect conditioning in this task, discarding that neuronal inactivation could be a general mechanism whereby impairing mitochondrial function would affect putative functions from the affected brain region.


The impact of mitochondrial function in social competition described here is not mediated by oxidative stress.”

http://www.pnas.org/content/112/50/15486.full “Mitochondrial function in the brain links anxiety with social subordination”

Mitochondria interface genetic/epigenetic responses to psychological stress

This 2015 Pennsylvania rodent study found:

Mitochondria can regulate complex whole-body physiological responses, impacting stress perception at the cellular and organismal levels.

Mitochondrial dysfunctions altered the

  1. hypothalamic–pituitary–adrenal [HPA] axis, sympathetic adrenal–medullary activation and catecholamine levels,
  2. the inflammatory cytokine IL-6,
  3. circulating metabolites, and
  4. hippocampal gene expression

responses to stress.

Stress-induced

  1. neuroendocrine,
  2. inflammatory,
  3. metabolic, and
  4. transcriptional responses

coalesced into unique signatures that distinguish groups based on their mitochondrial genotype.”

The study’s design was comprehensive for the subject of mitochondrial function and stress response categories. It interrelated elements that had a common cause of stress, such as:

  • Hyperglycemia
  • Increased lipids
  • Corticosterone sensitivity
  • Epigenetic changes within the brain

The study’s Figure 6E was a hierarchical “heat map” of the correlations among the 77 stress-induced changes that were measured. Figure 6G presented these variables per the five mitochondrial genotypes (a control wild-type and four genetic dysfunctions). Many of the lines forming the hierarchy needed careful reading of the study’s interpretations.


I downgraded the study’s rating because the authors inappropriately forced the “allostatic load” buzzword into the Significance statement and otherwise informative Discussion section. The term refers to a hypothetical long-term situation, but the study’s experiments lasted 2 hours at most before the subjects were killed.

www.pnas.org/content/112/48/E6614.full “Mitochondrial functions modulate neuroendocrine, metabolic, inflammatory, and transcriptional responses to acute psychological stress”

Neural pathways for forgetting bad smells

This 2015 New York fruit fly study found:

“Forgetting is regulated by multiple neural pathways that impinge upon a memory center.

Forgetting over time and the acute forgetting of conflicting memory during reversal learning rely on separable neural circuits.

Inactivating these neurons inhibits memory decay without altering learning, whereas activating them promotes forgetting. These neurons [include] a cluster of dopaminergic neurons and a pair of glutamatergic neurons.

Although activity of these neurons is required for memory decay over time, they are not required for acute forgetting during reversal learning. Our results thus not only establish the presence of multiple neural pathways for forgetting in Drosophila but also suggest the existence of diverse circuit mechanisms of forgetting in different contexts.”

Here’s a 3D view of the glutamatergic neurons:

http://movie-usa.glencoesoftware.com/video/10.1073/pnas.1512792112/video-2

http://www.pnas.org/content/112/48/E6663.full “Dissecting neural pathways for forgetting in Drosophila olfactory aversive memory”

Telomere dynamics, stress, and aging across generations

This 2015 Pennsylvania/North Dakota animal and human review noted:

“The mechanisms linking stress exposure to disease progression and ageing either within individuals or across generations are still unclear, but recent work suggests that telomere dynamics (length and loss rate) may play an important role.

Parental stress may directly influence the parental germline telomeres pre-fertilization, affecting the telomere length inherited by offspring. Alternatively, parental stress may affect telomere dynamics indirectly either pre- or post-natally. The physiological mechanisms by which stress elicits changes in telomere length are also diverse.

We need more information about how these effects vary between developmental stages, among individuals, and within tissues of individuals..to mitigate the effects of early life adversity on human health.”

I was disappointed that the reviewers chose Problematic research with telomere length as a reference. Then again, maybe their statement:

“how these traits are related to one another clearly deserves more study”

is a polite way of saying that study’s methodology was flawed?

Regarding evolutionary biology:

“While most evidence suggests that the effect of parental stress exposure on offspring telomeres is negative, it is important to remember that this is just one trait that can contribute to parental and offspring fitness.

Investment in traits that increase fitness is expected to be favoured, even if they come at a cost to traits associated with longevity, such as telomere length.”

A similar point was made in a reference of A study of DNA methylation and age that:

“Aging has no purpose (neither for individuals nor for group), no intention. Nature does not select for quasi-programs. It selects for robust developmental growth.”

 

http://rsbl.royalsocietypublishing.org/content/11/11/20150396 “Telomere dynamics may link stress exposure and ageing across generations”

Leaky gates, anxiety, and grocery store trips without buying list items

An interview with Jeff Link, the editor of Dr. Arthur Janov’s 2011 book “Life Before Birth: The Hidden Script that Rules Our Lives” with Ken Rose:

“Even further confirmation for some of the views of Janov, that maybe weren’t widely accepted for a time, it’s new research now being done into memory and what a lot of scientist are seeing, a lot of different studies is that memory reactivates the same neuroimpulses that were initially firing off when the event happened.

So a traumatic event when you remember it, the act of remembering it is actually creating a neuromirror of what went on initially.

In a lot of ways that is what Primal Therapy is attempting to do; is to go back to that place and reconnect, or as it’s sometimes referred to, reconsolidate the brain state so that real healing can take place.”

Transcript (part 4 of 6): http://cigognenews.blogspot.com/2015/09/ken-rose-on-life-before-birth-part-46.html

MP3: http://www.pantedmonkey.org/podcastgen/download.php?filename=2011-12-15_1300_what_now_jeff_link.mp3

A mechanistic study of neurotransmitters in the hippocampus

This 2015 UK rodent study found:

“A mechanistic understanding of how alterations in dopamine and NMDAR [a type of glutamate receptor that participates in excitatory neurotransmission] function can lead to the disruption of hippocampal–PFC [prefrontal cortex] functional connectivity.

These results show how dopaminergic activation induces long-term hypofunction of NMDARs, which can contribute to disordered functional connectivity, a characteristic that is a hallmark of psychiatric disorders such as schizophrenia.”

One of the experiments applied theta-frequency (5 Hz) waves to the rats’ hippocampi and dampened the electrical activity of the NMDAR type of glutamate receptor.

However, this effect of theta waves was dependent on the activation of D2 dopamine receptors. The study’s findings should inform researchers who treat brain waves as base causes of behavior in studies such as What’s an appropriate control group for a schizophrenia study?

This study’s findings may also inform researchers of studies such as the What causes disconnection between the limbic system and the cerebrum? of a neurochemical basis for “the disruption of hippocampal–PFC functional connectivity.”

http://www.pnas.org/content/112/35/11096.full “Disruption of hippocampal–prefrontal cortex activity by dopamine D2R-dependent LTD of NMDAR transmission”

Dopamine may account for differences in cognitive performance

This 2015 German human study found:

“Dopamine may account for adult age differences in brain signal variability.”

The researchers administered amphetamine to the subjects to boost their dopamine levels, and measured their cognitive performance on several working memory tests under fMRI:

“Older adults expressed lower brain signal variability at placebo, but met or exceeded young adult..”

brain signal variability levels when on speed.

The order of the tests also influenced the results. Older adults who received amphetamine during the initial series of tests performed better on placebo during the second series of tests.


As is often done, the researchers focused on effects and not causes. I didn’t see questionnaires or investigation into possible historical or biological factors for reduced dopamine levels, leaving the researchers with age as the only correlated-but-not-causative explanation.

http://www.pnas.org/content/112/24/7593.full “Amphetamine modulates brain signal variability and working memory in younger and older adults”

An inhibitory gene that affects alcohol binge behavior

This 2015 La Jolla rodent study found that an inhibitory gene affected alcohol binging behavior:

“Our study reveals the behavioral impact of this cellular effect, whereby the level of GIRK3 [the gene] expression in the VTA [ventral tegmental area] tunes ethanol intake under binge-type conditions: the more GIRK3, the less ethanol drinking.”

GIRK3-silenced mice still binged, though, and got alcohol’s rewarding effects through dopamine’s other neural pathways.

High concentrations of the gene were found in the thalamus part of the limbic system of wild-type mice, the control group. Per the study’s title, this gene presumably contributes to the thalamus’ overall function of gating information from limbic system and lower brain areas to reach the cerebrum and vice versa.

And the potential causes for reduced GIRK3 expression are..?? Hopefully – someday – researchers will be focused on finding causes for abnormal gene expression rather than being content to just study effects of abnormal gene expression. Until then, the usual practice of considering only the effects led these researchers to:

“Believe that a compound selectively targeting GIRK3-containing channels may hold promise for reducing alcohol consumption in heavy binge drinkers.”

http://www.pnas.org/content/112/22/7091.full “GIRK3 gates activation of the mesolimbic dopaminergic pathway by ethanol”

One way beliefs produce pleasure and reward in the cerebrum

This 2014 Singapore human study found:

“Differences in belief learning – the degree to which players were able to anticipate and respond to the actions of others, or to imagine what their competitor is thinking and respond strategically – was associated with variation in three genes which primarily affect dopamine functioning in the medial prefrontal cortex.

In contrast, differences in trial-and-error reinforcement learning – how quickly they forget past experiences and how quickly they change strategy – was associated with variation in two genes that primarily affect striatal dopamine.”

One of the researchers said:

“The findings correlate well with previous brain studies showing that the prefrontal cortex is involved in belief learning, while the striatum is involved in reinforcement learning.”

The study didn’t demonstrate cause and effect, however, and the researchers cautioned:

“It would be mistaken to interpret our results as suggesting that dopamine genes function as “belief learning genes.”

The study added to the science of how beliefs act on the pleasure and reward parts of the cerebrum.

http://www.pnas.org/content/111/26/9615.full.pdf “Dissociable contribution of prefrontal and striatal dopaminergic genes to learning in economic games” (the pdf file is linked because the html had errors)

What causes disconnection between the limbic system and the cerebrum?

This 2014 Swedish human study with 339 subjects aged 25-80 years old found that as the subjects’ age increased, their hippocampus became less connected to their cerebrums:

“Age-related cortico–hippocampal functional connectivity disruption leads to a more functionally isolated hippocampus at rest, which translates into aberrant hippocampal decoupling and deficits in active mnemonic processing.”

The lead researcher said:

“What we can now show is that memory problems that come with increased age are most likely due to a process where the interaction among different regions of the hippocampus increases in response to less inhibitory cortical input. This in turn means that the hippocampus risks being more isolated from other important networks in the brain which impacts our ability to actively engage the hippocampus, for example to remember different events.”

Like other researchers commonly do, they excluded emotional content from the study. See another Swedish study Emotional memories and out-of-body–induced hippocampal amnesia as an example of why emotional memories are necessary in order to properly study the hippocampus.


1) As a result of excluding emotional content and other aspects of the study’ design such as using 25 as the beginning age of the subjects, all the researchers could muster as a explanatory factor was age. However, they had to couch their findings as “age-related” because age in and of itself wasn’t a causal explanation for the observed effects.

2) The findings weren’t even truly “age-related”  because, for example, the study didn’t necessarily apply to people below the age of 25. Had the study included 10-18 year old subjects, the researchers may have found that “less inhibitory cortical input” may also be present before puberty, as The prefrontal cortex develops more repressive function at puberty study indicated.

3) Had the study design included neurochemicals, the researchers may have found that “cortico–hippocampal functional connectivity disruption” was due to factors that influenced dopamine and glutamate levels, as A mechanistic study of neurotransmitters in the hippocampus indicated.

4) A finding that “cortico–hippocampal functional connectivity disruption” was influenced by other factors may also have been made had the study design included the subjects’ histories. Per my Welcome page, the findings of much of the recent research I’ve curated on this blog, and the references in those studies show that when basic needs aren’t met, especially early in people’s lives, and the painful conditions persist, enduring physiological changes may occur.

5) What the researchers noted in the study’s limitation paragraph were references to fMRI scans rather than limitations such as those mentioned above regarding the study design. The study provided unconvincing evidence for causes of “cortico–hippocampal functional connectivity disruption” and it wasn’t because of fMRI limitations.

http://www.pnas.org/content/111/49/17654.full “Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging”


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