Frank Gennari Thesis

Although all mechanisms reduce to the neuronal level, and ultimately the chemical and physical levels, the answers to questions asked on the phenomenological level might lose their explanatory power when given at the neuronal level, invoking the need for the mesoscopic (i.e. For one, the construction of the comprehen-sive microscopic human connectome is far from within reach of neuroscience’s current technical capabilities.Pooling neuronal popula-tions into functional units at the meso- or macroscopic scale, however, can make them accessible to whole-brain measurement and analysis methods—as well as to our imagination.

Although all mechanisms reduce to the neuronal level, and ultimately the chemical and physical levels, the answers to questions asked on the phenomenological level might lose their explanatory power when given at the neuronal level, invoking the need for the mesoscopic (i.e. For one, the construction of the comprehen-sive microscopic human connectome is far from within reach of neuroscience’s current technical capabilities.

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The often sad and irreversible consequence of connectional loss is a debilitating reduction in a brain’s functional repertoire.

Once disconnected—by the event of a stroke, for instance—neurons degenerate. to participate in information processing, has been incapacitated.

Whether these subdivisions are justified with regard to phenomena to be explained is a matter of extensive debate.

Over the past century, brain connections have mostly been studied in experimental animals.

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The brain cells’ microstructural constituents hinder diffusion of water molecules in the brain.

The attenuation in the magnitude of diffusion can be measured with DWI.

The technique, introduced in the 1980’s, is called diffusion weighted imaging (DWI; or diffusion MRI).

The name is conveniently derived from its working principle.