Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition
| Autor: | Brenda E. Benson, Katherine L. Baldwin, Dana Rosen, Wen-Ming Luh, Monique Ernst, Peter A. Bandettini, Daniel S. Pine, Prantik Kundu |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Adolescent Cognitive Neuroscience Normalization (image processing) Context (language use) Article Cohort Studies Behavioral Neuroscience Cellular and Molecular Neuroscience Young Adult Statistical inference Connectome Preprocessor Humans Radiology Nuclear Medicine and imaging Child Dropout (neural networks) Communication Resting state fMRI business.industry Age Factors Contrast (statistics) Brain Pattern recognition Magnetic Resonance Imaging Oxygen Psychiatry and Mental health Neurology Data Interpretation Statistical Female Neurology (clinical) Artificial intelligence business Psychology Smoothing |
| Zdroj: | Brain imaging and behavior. 9(1) |
| ISSN: | 1931-7565 |
| Popis: | Several methodological challenges affect the study of typical brain development based on resting state blood oxygenation level dependent (BOLD) functional MRI (fMRI). One such challenge is mitigating artifacts such as those from head motion, known to be more substantial in younger subjects than older subjects. Other challenges include controlling for potential age-dependence in cerebrospinal fluid (CSF) volume affecting anatomical-functional coregistration; in vascular density affecting BOLD contrast-to-noise; and in CSF pulsation creating time series artifacts. Historically, these confounds have been approached through incorporating artifact-specific temporal and/or spatial filtering into preprocessing pipelines. However, such paths often come with new confounds or limitations. In this study we take the approach of a bottom-up revision of fMRI methodology based on acquisition of multi-echo fMRI and comprehensive utilization of the information in the TE-domain to enhance several aspects of fMRI analysis in the context of a developmental study. We show in a cohort of 25 healthy subjects, aged 9 to 43 years, that the analysis of multi-echo fMRI data eliminates a number of arbitrary processing steps such as bandpass filtering and spatial smoothing, while enabling procedures such as $T_{2}^{*}$ mapping, BOLD contrast normalization and signal dropout recovery, precise anatomical-functional coregistration based on $T_{2}^{*}$ measurements, automatic denoising through removing subject motion, scanner-related signal drifts and physiology, as well as statistical inference for seed-based connectivity. These enhancements are of both theoretical significance and practical benefit in the study of typical brain development. |
| Databáze: | OpenAIRE |
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