“in a murder case in Pune, in Maharashtra State, that a judge explicitly cited a scan as proof that the suspect’s brain held “experiential knowledge” about the crime that only the killer could possess, sentencing her to life in prison.
This latest Indian attempt at getting past criminals’ natural defenses begins with an electroencephalogram, or EEG, in which electrodes are placed on the head to measure electrical waves. The suspect sits in silence, eyes shut. An investigator reads aloud details of the crime — as prosecutors see it — and the resulting brain images are processed using software built in Bangalore.
The software tries to detect whether, when the crime’s details are recited, the brain lights up in specific regions — the areas that, according to the technology’s inventors, show measurable changes when experiences are relived, their smells and sounds summoned back to consciousness. The inventors of the technology claim the system can distinguish between peoples’ memories of events they witnessed and between deeds they committed.”
Reading Hidden Intentions in the Human Brain
John-Dylan Haynes et el
Reading Hidden Intentions in the Human Brain, Current Biology
A man with an unusually tiny brain managed to live an entirely normal life despite his condition, caused by a fluid buildup in his skull, French researchers reported on Thursday.
Scans of the 44-year-old man’s brain showed that a huge fluid-filled chamber called a ventricle took up most of the room in his skull, leaving little more than a thin sheet of actual brain tissue.
“He was a married father of two children, and worked as a civil servant,” Dr. Lionel Feuillet and colleagues at the Universite de la Mediterranee in Marseille wrote in a letter to the Lancet medical journal.
Nature Neuroscience – 9, 1177 – 1185 (2006) Published online: 6 August 2006; | doi:10.1038/nn1745Kalanit Grill-Spector et. el.
Higher resolution fMRI shows that FFA has a heterogeneous structure: localized subregions within the FFA highly selective to faces are spatially interdigitated with localized subregions highly selective to different object categories. We found a preponderance of face-selective responses in the FFA, but no difference in selectivity to faces compared to nonfaces. Thus, standard fMRI of the FFA reflects averaging of heterogeneous highly selective neural populations of differing sizes, rather than higher selectivity to faces. These results suggest that visual processing in this region is not exclusive to faces.