New research suggests that it may be possible to develop predictive models of affective contents during spontaneous thought by combining personal narratives with fMRI.

The following report is a press release by the Institute for Basic Science:

A team of researchers led by KIM Hong Ji and WOO Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at Dartmouth College, has unlocked a new realm of understanding within the human brain. The team demonstrated the possibility of using functional Magnetic Resonance Imaging (fMRI) and machine learning algorithms to predict subjective feelings in people’s thoughts while reading stories or in a freely thinking state.

The brain is constantly active, and spontaneous thoughts occur even during rest or sleep. These thoughts can be anything ranging from memories of the past to aspirations for the future, and they are often intertwined with emotions and personal concerns. However, because spontaneous thought typically occurs without any constraint of consciousness, researching them poses challenges—even simply asking individuals what they are currently thinking can change the nature of their thoughts.

New research suggests that it may be possible to develop predictive models of affective contents during spontaneous thought by combining personal narratives with fMRI. Narratives and spontaneous thoughts share similar characteristics, including rich semantic information and temporally unfolding nature. To capture a diverse range of thought patterns, participants engaged in one-on-one interviews to craft personalized narrative stimuli, reflecting their past experiences and emotions. While participants read their stories inside the MRI scanner, their brain activity was recorded.

After the fMRI scan, the participants were asked to read the stories again and report perceived self-relevance (i.e., how much this content is related to themselves) and valence (i.e., how much this content is positive or negative) at each moment. Using a quintile (five levels) from each participant’s self-relevance and valence ratings, 25 (5 levels of self-relevance rating × 5 levels of valence rating) possible segments of fMRI and rating data were created. The team then harnessed machine learning techniques to train predictive models, combining these data with the fMRI brain scans from 49 individuals to decode the “emotional dimensions” of thoughts in real time.

To interpret the brain representations of the predictive models, the research team employed multiple approaches, such as virtual lesion and virtual isolation analyses at both region and network levels. Through these analyses, they discovered the significance of the default mode, ventral attention, and frontoparietal networks in both self-relevance and valence predictions. Specifically, they identified the involvement of the anterior insula and midcingulate cortex in self-relevance prediction, while the left temporoparietal junction and dorsomedial prefrontal cortex played important roles in valence prediction.

Moreover, the predictive models showed their capacity to predict both self-relevance and valence not only during story reading but also when applied to data from 199 individuals engaging in spontaneous, task-free thinking or even during resting. These findings show the promise of daydream decoding.

“Several tech companies and research teams are currently endeavoring to decode words or images directly from brain activity, but there are limited initiatives aimed at decoding intimate emotions underlying these thoughts,” stated Dr. WOO Choong-Wan, associate director of IBS, who led the study. “Our research is centered on human emotions, with the aim of decoding emotions within the natural flow of thoughts to obtain information that can benefit people’s mental health.”

KIM Hongji, a doctoral candidate and the first author of this study, emphasized, “This study holds significance as we decoded the emotional state associated with general thoughts, rather than targeting emotions limited to specific tasks,” adding, “These findings advance our understanding of the internal states and contexts influencing subjective experiences, potentially shedding light on individual differences in thoughts and emotions, and aiding in the evaluation of mental well-being.”

Figure 1. Predictive modeling analysis pipeline

First, the data was independently segmented into quintiles (5 levels) for self-relevance and valence based on participant’s ratings. Next, time points (TRs) were assigned according to the levels of these two dimensions, resulting in a total of 5×5 quantized TR indices. Utilizing these indices, exemplified by level 2 for self-relevance and level 5 for valence highlighted as red-shaded TRs in the figure, each index’s fMRI and rating data were averaged, thereby generating 25 fMRI images and corresponding rating data for each participant. Subsequently, employing these orthogonalized data, whole-brain pattern-based predictive models were developed using principal component regression (PCR) along with leave-one-subject-out cross-validation (LOSO-CV) and random-split cross-validation (RS-CV).
Figure 2. Important features of the self-relevance and valence models (virtual isolation analysis)

The brain maps shown in the left panel illustrate the results of searchlight-based virtual isolation analysis for the self-relevance (top) and the valence model (bottom). The plots in the right panel show the virtual isolation analysis results for the self-relevance model (top) and the valence model (bottom), incorporating large-scale networks and selected ROIs. Each colored dot represents the prediction-outcome correlations for each network or region with bootstrap tests of 10,000 iterations.

AUTHOR COMMENTARY

A little over a year ago I also reported that scientists were able to leverage AI to recreate images of people’s thoughts. Granted, the pictures were very pudgy and lacked consistent detail, but demonstrated that it could still decipher the core subjects of the thoughts. This latest experiment seems to be an improved extension of that.

The news of these experiments comes around the same time the head of the German intelligence agency is talking about how they want to monitor people’s thoughts. I guess in a few year’s time or less the AI will be deployed to read people’s thoughts.

Ultimately it is these scientists and tech geek’s desire to play God. SEE: Google Founder And Silicon Valley Artificial Intelligence Engineers Admit ‘We’re Creating God’

And thou, Solomon my son, know thou the God of thy father, and serve him with a perfect heart and with a willing mind: for the LORD searcheth all hearts, and understandeth all the imaginations of the thoughts: if thou seek him, he will be found of thee; but if thou forsake him, he will cast thee off for ever.

1 Chronicles 28:9

[7] Who goeth a warfare any time at his own charges? who planteth a vineyard, and eateth not of the fruit thereof? or who feedeth a flock, and eateth not of the milk of the flock? [8] Say I these things as a man? or saith not the law the same also? [9] For it is written in the law of Moses, Thou shalt not muzzle the mouth of the ox that treadeth out the corn. Doth God take care for oxen? [10] Or saith he it altogether for our sakes? For our sakes, no doubt, this is written: that he that ploweth should plow in hope; and that he that thresheth in hope should be partaker of his hope. (1 Corinthians 9:7-10).

The WinePress needs your support! If God has laid it on your heart to want to contribute, please prayerfully consider donating to this ministry. If you cannot gift a monetary donation, then please donate your fervent prayers to keep this ministry going! Thank you and may God bless you.

CLICK HERE TO DONATE

5 Comments

  • Can this technology detect suicidal thoughts and stop an attempt on your own life?

    ‭Revelation 9:6 KJV‬
    [6] And in those days shall men seek death, and shall not find it; and shall desire to die, and death shall flee from them.

    • Revelations….yeah. I heard a former military intelligence officer say the Globalists who are all satanic and hate god, are using Revelations as their play book to bring about the new world order. That is why what Revelations says is coming true. I was shocked when i heard this guy. I never thought about that

      https://www.banned.video/watch?id=661d8cd6db45204e63d6170f Revelations is brought up at 2:17 in the video but listen to the whole thing as the first part ties right in to Revelations

  • The grants these scientists are awarded a for a GOVERNMENT project and not good for the population. Horrid digital tech has given them the tools to exert endlessly more control over us

    This is the movie TOTAL RECALL, Arnold Schwartzeneger (another lefty globalist dirtball nazi). They are trying to bring this from fiction to reality. These are obsessively driven fanatic psychopaths. If the scientists want the money, they have to do the research ordered. CERN, same thing. Government funded, trying to open parallel dimensions. I cannot confirm it but someone told me they have actually done it to some degree. DIGITAL TECH IS A POISON PILL FOR US sold to us as a “convenience” like every other damn thing they do, and we all go along with it because in the rights hands, it is EXTREMELY beneficial. Anything good is corrupted for evil

  • No one but God can accurately read or predict thoughts& hearts. The unbelieving & wicked can’t even read & understand the plain word of the scriptures accurately! They, of course, try to usurp the place of God’s word to blasphemously ‘fulfill’ it, those builders who’ve rejected the chief cornerstone, but those who do know their Lord & his word will not be deceived as those deceiving& being deceived who think they’re ‘getting away with something’!

    Wicked, presuming devils. Because of such, judgment comes on this world.

    Death cult that they are, & euthanasia enthusiasts, we can rest assured that such potential knowledge would not be used to any good end. Just look at all the fake ‘mental conditions’ they created & drugged people for (destroying many) with their bogus DSM, actually CREATING psychotic & manic depressive& suicidal tendencies in normal folks simply experiencing life in a fallen world. 1 Timothy 6 KJB writ large. Illegit gain & fake science all the way.

    They just want to lobotomize folks to drooling dependency & blind obedience as a trained dog or mindlessly repeating parrot so long as they’re ‘useful’, & then a way to pull the plug & put down, euthanize.

  • As for CERN, that’s devil dimension opening 101, only deceiving those who think they’re ‘achieving’ something. Men who open themselves to devils through TM, disciplines & techniques …drugs, technologically concentrated natural forces, or whatever ‘see’, ‘feel’, & ‘believe’ all sorts of things.

    When the Lord opens that supernatural realm, it won’t be something that CERN or some other bunch of egotistical fools will be achieving or having control over. Just see Revelation 9, 11, 16 KJB etc.

    Mostly, that stuff is to distract & make Christians look like idiots thinking that somebody went back in time to ‘change the Bible’…..or allowing themselves to be manipulated into believing that the earth is flat, while the mockers, slanderers, & ‘professional’ psych-sorcerers chortle. Disinfo from professional disinfo agents who are gonna burn & share the inheritance & end of the ‘master’ & ‘spirit’ they serve: that old father of lies & king over all the children of pride. John 8 & Job 41 KJB. Psalm 2 KJB.

Leave a Comment

×