Immediate neural impact and incomplete compensation after semantic hub disconnection

Data repository for "Immediate neural impact and incomplete compensation after semantic hub disconnection"

Abstract: The human brain extracts meaning using an extensive neural system for semantic knowledge. 
Whether broadly distributed systems depend on or can compensate after losing a highly interconnected hub is controversial. 
We report rare intracranial recordings from two patients during a speech prediction task, 
obtained minutes before and after neurosurgical treatment requiring disconnection of the left anterior temporal lobe (ATL), 
a candidate semantic knowledge hub. Informed by modern diaschisis and predictive coding frameworks, 
we tested hypotheses ranging from solely neural network disruption to complete compensation by 
the indirectly affected language-related and speech processing sites. Immediately after ATL disconnection, 
we observed substantial neurophysiological alterations in the recorded frontal and auditory sites, 
providing direct evidence for the importance of the ATL as a semantic hub. We also obtained evidence for rapid, albeit incomplete, 
attempts at neural network compensation, with neural impact largely in the forms stipulated by the predictive coding framework, 
in specificity, and the modern diaschisis framework, more generally. The overall results validate these frameworks and reveal 
a remarkable immediate impact and capability of the human brain to adjust after losing a brain hub.

In this dataset, you will be able to access the intracranial recordings from 2 subjects, 
with the description of recording channels, along with event codes and times in ms. Both the raw data, 
and the preprocessed (DBT denoised and SVD applied; matrix in times x channels format, 1000 Hz sampling rate) data are available. For further information, please consult the paper (currently in press, but will provide a DOI when available), 
or email [e-mail] or [e-mail]