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Apr
18
2012

"A network of brain regions which is activated during intense aesthetic experience overlaps with the brain network associated with inward contemplation and self-assessment, New York University researchers have found. Their study sheds new light on the nature of the aesthetic experience, which appears to integrate sensory and emotional reactions in a manner linked with their personal relevance."

fmri mri brain-imaging aesthetics contemplation experience

  • “Aesthetic judgments for paintings are highly individual, in that the paintings experienced as moving differ widely across people,” the researchers observed. “But the neural systems supporting aesthetic reactions remain largely the same from person to person. Moreover, the most moving paintings produce a selective activation of a network of brain regions which is known to activate when we think about personally relevant matters such as our own personality traits and daydreams, or when we contemplate our future.”
Oct
18
2011

"A new study of the brain by University of Cambridge scientists explains why some people can’t tell the difference between what they saw and what they imagined or were told about — such as whether they or another person said something, or whether an event was imagined or actually occurred."

memory psychology neuroscience mri brain-imaging

Apr
16
2009

As it turns out, the way that the human brain goes about the task of “remembering the past” is actually very similar to how it goes about “imagining the future.”

memory brain-imaging brain mental mind future imagination mri

Apr
11
2009

Assistant Professor,Department of Psychology. Explores moral dilemmas, the trolley problem, using fMRI.

people academic psychology school(Harvard) philosophy morality fmri mri brain-imaging neuroimaging

in list: Philosophy Notes

Mar
18
2009

Journal article for the Science Daily story "More Evidence That Intelligence Is Largely Inherited: Researchers Find That Genes Determine Brain's Processing Speed"

neurology neuroscience neuroimaging brain-imaging intelligence genetics mri

  • The study is the first to analyze genetic and environmental factors that affect brain fiber architecture and its genetic linkage with cognitive function. We assessed white matter integrity voxelwise using diffusion tensor imaging at high magnetic field (4 Tesla), in 92 identical and fraternal twins. White matter integrity, quantified using fractional anisotropy (FA), was used to fit structural equation models (SEM) at each point in the brain, generating three-dimensional maps of heritability. We visualized the anatomical profile of correlations between white matter integrity and full-scale, verbal, and performance intelligence quotients (FIQ, VIQ, and PIQ). White matter integrity (FA) was under strong genetic control and was highly heritable in bilateral frontal (a2 = 0.55, p = 0.04, left; a2 = 0.74, p = 0.006, right), bilateral parietal (a2 = 0.85, p < 0.001, left; a2 = 0.84, p < 0.001, right), and left occipital (a2 = 0.76, p = 0.003) lobes, and was correlated with FIQ and PIQ in the cingulum, optic radiations, superior fronto-occipital fasciculus, internal capsule, callosal isthmus, and the corona radiata (p = 0.04 for FIQ and p = 0.01 for PIQ, corrected for multiple comparisons). In a cross-trait mapping approach, common genetic factors mediated the correlation between IQ and white matter integrity, suggesting a common physiological mechanism for both, and common genetic determination. These genetic brain maps reveal heritable aspects of white matter integrity and should expedite the discovery of single-nucleotide polymorphisms affecting fiber connectivity and cognition.

  • Defense attorneys are for the first time submitting a controversial neurological lie-detection test as evidence in U.S. court.

      

    <script type="text/javascript">digg_url ="http://blog.wired.com/wiredscience/2009/03/noliemri.html";</script><script src="http://digg.com/tools/diggthis.js" type="text/javascript"></script>  In an upcoming juvenile-sex-abuse case in San Diego, the defense is hoping to get an fMRI scan, which shows brain activity based on oxygen levels, admitted to prove the abuse didn't happen.  

  • Laboratory studies using fMRI, which measures blood-oxygen levels in the brain, have suggested that when someone lies, the brain sends more blood to the ventrolateral area of the prefrontal cortex. In a very small number of studies, researchers have identified lying in study subjects with accuracy ranging from 76 percent to over 90 percent (pdf). But some scientists and lawyers like Greely doubt that those results will prove replicable outside the lab setting, and others say it just isn't ready yet.
  • 2 more annotation(s)...

Intriguing article but frustratingly vague on the measurements used for intelligence testing. Apparently HARDI (High Angular Resolution Diffusion Imaging) can measure the diffusion of water through the brain, especially myelin. In yet another twin study (n=46 pairs) there appears to be a correlation between diffusion speed and intelligence.

neurology neuroscience biology memory intelligence mri brain-imaging science sts mental psychology

  • In a study published recently in the Journal of Neuroscience, UCLA neurology professor Paul Thompson and colleagues used a new type of brain-imaging scanner to show that intelligence is strongly influenced by the quality of the brain's axons, or wiring that sends signals throughout the brain. The faster the signaling, the faster the brain processes information. And since the integrity of the brain's wiring is influenced by genes, the genes we inherit play a far greater role in intelligence than was previously thought.
Jan
22
2009

Perceptual experience consists of an enormous number of possible states. Previous fMRI studies have predicted a perceptual state by classifying brain activity into prespecified categories. Constraint-free visual image reconstruction is more challenging, as it is impractical to specify brain activity for all possible images. In this study, we reconstructed visual images by combining local image bases of multiple scales, whose contrasts were independently decoded from fMRI activity by automatically selecting relevant voxels and exploiting their correlated patterns. Binary-contrast, 10 10-patch images (2100 possible states) were accurately reconstructed without any image prior on a single trial or volume basis by measuring brain activity only for several hundred random images. Reconstruction was also used to identify the presented image among millions of candidates. The results suggest that our approach provides an effective means to read out complex perceptual states from brain activity while discovering information representation in multivoxel patterns.

neurology neuroscience images imaging fmri mri perception philosophy biology neuroimaging cognition brain-imaging

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