Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research
Cognitive neuroscience, in particular research on speech and language, has seen an increase in the use of linear modeling techniques for studying the processing of natural, environmental stimuli. The availability of such computational tools has prompted similar investigations in many clinical domain...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:0b35c00a90c94909892eda03f9c88cf32021-11-22T07:28:39ZLinear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research1662-453X10.3389/fnins.2021.705621https://doaj.org/article/0b35c00a90c94909892eda03f9c88cf32021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.705621/fullhttps://doaj.org/toc/1662-453XCognitive neuroscience, in particular research on speech and language, has seen an increase in the use of linear modeling techniques for studying the processing of natural, environmental stimuli. The availability of such computational tools has prompted similar investigations in many clinical domains, facilitating the study of cognitive and sensory deficits under more naturalistic conditions. However, studying clinical (and often highly heterogeneous) cohorts introduces an added layer of complexity to such modeling procedures, potentially leading to instability of such techniques and, as a result, inconsistent findings. Here, we outline some key methodological considerations for applied research, referring to a hypothetical clinical experiment involving speech processing and worked examples of simulated electrophysiological (EEG) data. In particular, we focus on experimental design, data preprocessing, stimulus feature extraction, model design, model training and evaluation, and interpretation of model weights. Throughout the paper, we demonstrate the implementation of each step in MATLAB using the mTRF-Toolbox and discuss how to address issues that could arise in applied research. In doing so, we hope to provide better intuition on these more technical points and provide a resource for applied and clinical researchers investigating sensory and cognitive processing using ecologically rich stimuli.Michael J. CrosseMichael J. CrosseMichael J. CrosseMichael J. CrosseNathaniel J. ZukNathaniel J. ZukNathaniel J. ZukGiovanni M. Di LibertoGiovanni M. Di LibertoGiovanni M. Di LibertoAaron R. NidifferAaron R. NidifferSophie MolholmSophie MolholmEdmund C. LalorEdmund C. LalorEdmund C. LalorFrontiers Media S.A.articletemporal response functionTRFneural encodingneural decodingclinical and translational neurophysiologyelectrophysiologyNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021) |
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DOAJ |
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EN |
| topic |
temporal response function TRF neural encoding neural decoding clinical and translational neurophysiology electrophysiology Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
| spellingShingle |
temporal response function TRF neural encoding neural decoding clinical and translational neurophysiology electrophysiology Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Michael J. Crosse Michael J. Crosse Michael J. Crosse Michael J. Crosse Nathaniel J. Zuk Nathaniel J. Zuk Nathaniel J. Zuk Giovanni M. Di Liberto Giovanni M. Di Liberto Giovanni M. Di Liberto Aaron R. Nidiffer Aaron R. Nidiffer Sophie Molholm Sophie Molholm Edmund C. Lalor Edmund C. Lalor Edmund C. Lalor Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| description |
Cognitive neuroscience, in particular research on speech and language, has seen an increase in the use of linear modeling techniques for studying the processing of natural, environmental stimuli. The availability of such computational tools has prompted similar investigations in many clinical domains, facilitating the study of cognitive and sensory deficits under more naturalistic conditions. However, studying clinical (and often highly heterogeneous) cohorts introduces an added layer of complexity to such modeling procedures, potentially leading to instability of such techniques and, as a result, inconsistent findings. Here, we outline some key methodological considerations for applied research, referring to a hypothetical clinical experiment involving speech processing and worked examples of simulated electrophysiological (EEG) data. In particular, we focus on experimental design, data preprocessing, stimulus feature extraction, model design, model training and evaluation, and interpretation of model weights. Throughout the paper, we demonstrate the implementation of each step in MATLAB using the mTRF-Toolbox and discuss how to address issues that could arise in applied research. In doing so, we hope to provide better intuition on these more technical points and provide a resource for applied and clinical researchers investigating sensory and cognitive processing using ecologically rich stimuli. |
| format |
article |
| author |
Michael J. Crosse Michael J. Crosse Michael J. Crosse Michael J. Crosse Nathaniel J. Zuk Nathaniel J. Zuk Nathaniel J. Zuk Giovanni M. Di Liberto Giovanni M. Di Liberto Giovanni M. Di Liberto Aaron R. Nidiffer Aaron R. Nidiffer Sophie Molholm Sophie Molholm Edmund C. Lalor Edmund C. Lalor Edmund C. Lalor |
| author_facet |
Michael J. Crosse Michael J. Crosse Michael J. Crosse Michael J. Crosse Nathaniel J. Zuk Nathaniel J. Zuk Nathaniel J. Zuk Giovanni M. Di Liberto Giovanni M. Di Liberto Giovanni M. Di Liberto Aaron R. Nidiffer Aaron R. Nidiffer Sophie Molholm Sophie Molholm Edmund C. Lalor Edmund C. Lalor Edmund C. Lalor |
| author_sort |
Michael J. Crosse |
| title |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| title_short |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| title_full |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| title_fullStr |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| title_full_unstemmed |
Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research |
| title_sort |
linear modeling of neurophysiological responses to speech and other continuous stimuli: methodological considerations for applied research |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/0b35c00a90c94909892eda03f9c88cf3 |
| work_keys_str_mv |
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