A new fMRI data analysis method using cross validation: Negative BOLD responses may be the deactivations of interneurons
Hiroshi Tsukimoto, Takefumi Matsubara

TL;DR
This paper introduces a new fMRI analysis method using cross validation that more accurately identifies negative BOLD responses as interneuron deactivations, challenging conventional methods and suggesting many past results may need re-evaluation.
Contribution
The paper presents a novel fMRI data analysis approach that improves detection accuracy of interneuron deactivations, providing a new perspective on interpreting negative BOLD responses.
Findings
The new method more accurately detects interneuron deactivations.
Negative BOLD responses may primarily reflect interneuron deactivations.
Many previous fMRI results based on conventional analysis may be incorrect.
Abstract
Although functional magnetic resonance imaging (fMRI) is widely used for the study of brain functions, the blood oxygenation level dependent (BOLD) effect is incompletely understood. Particularly, negative BOLD responses(NBRs) is controversial. This paper presents a new fMRI data analysis method, which is more accurate than the typical conventional method. The authors conducted the experiments of simple repetition, and analyzed the data by the new method. The results strongly suggest that the deactivations(NBRs) detected by the new method are the deactivations of interneurons, because the deactivation ratios obtained by the new method approximately equals the deactivation ratios of interneurons obtained by the study of interneurons. The (de)activations detected by the new method are largely different from those detected by the conventional method. The new method is more accurate than…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Advanced MRI Techniques and Applications · Neuroscience and Neuropharmacology Research
