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Abstract #1280

En Route to Fine-Grained Neurosignatures in the Individual Brain: Evaluating Methodology to Boost Spatial Accuracy & Sensitivity of BOLD fMRI

Igor Fabian Tellez Ceja1, Thomas Gladytz1, Ludger Benedikt Starke1, Karsten Tabelow2, Thoralf Niendorf1,3, and Henning Matthias Reimann1
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine, Berlin, Germany, 2Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, 3Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany

Synopsis

Keywords: High-Field MRI, fMRI

In recent years, fMRI at ultrahigh magnetic field strengths (≥7T) has shifted from group analyses to probing neural processing in the individual brain. Identifying neurosignatures requires detection of BOLD effects with high sensitivity and spatial accuracy. Yet, it remains a challenge to enhance the sensitivity of fMRI for the BOLD effect without blurring the spatial details. Here, we assess the quality of the Gaussian, spatial adaptive non-local means (SANLM) and the adaptive weights smoothing (AWS) filters by employing a synthetic fMRI dataset as ground truth. AWS provides superior localization of the BOLD activations with high sensitivity at reasonable noise levels.

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Keywords