دورية أكاديمية
أعرض في EDS

The relationship between frequency content and representational dynamics in the decoding of neurophysiological data.

التفاصيل البيبلوغرافية
العنوان: The relationship between frequency content and representational dynamics in the decoding of neurophysiological data.
المؤلفون: Higgins C; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., van Es MWJ; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK. Electronic address: mats.vanes@psych.ox.ac.uk., Quinn AJ; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., Vidaurre D; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK; Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark., Woolrich MW; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
المصدر: NeuroImage [Neuroimage] 2022 Oct 15; Vol. 260, pp. 119462. Date of Electronic Publication: 2022 Jul 22.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Orlando, FL : Academic Press, c1992-
مواضيع طبية MeSH: Brain*/physiology , Brain Mapping*/methods, Humans ; Neurophysiology
مستخلص: Decoding of high temporal resolution, stimulus-evoked neurophysiological data is increasingly used to test theories about how the brain processes information. However, a fundamental relationship between the frequency spectra of the neural signal and the subsequent decoding accuracy timecourse is not widely recognised. We show that, in commonly used instantaneous signal decoding paradigms, each sinusoidal component of the evoked response is translated to double its original frequency in the subsequent decoding accuracy timecourses. We therefore recommend, where researchers use instantaneous signal decoding paradigms, that more aggressive low pass filtering is applied with a cut-off at one quarter of the sampling rate, to eliminate representational alias artefacts. However, this does not negate the accompanying interpretational challenges. We show that these can be resolved by decoding paradigms that utilise both a signal's instantaneous magnitude and its local gradient information as features for decoding. On a publicly available MEG dataset, this results in decoding accuracy metrics that are higher, more stable over time, and free of the technical and interpretational challenges previously characterised. We anticipate that a broader awareness of these fundamental relationships will enable stronger interpretations of decoding results by linking them more clearly to the underlying signal characteristics that drive them.
Competing Interests: Declaration of Competing Interest The authors have no interests to declare.
(Copyright © 2022. Published by Elsevier Inc.)
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معلومات مُعتمدة: 106183/Z/14/Z United Kingdom WT_ Wellcome Trust; United Kingdom WT_ Wellcome Trust; United Kingdom DH_ Department of Health; 203139/Z/16/Z United Kingdom WT_ Wellcome Trust; 215573/Z/19/Z United Kingdom WT_ Wellcome Trust
فهرسة مساهمة: Keywords: Aliasing; Complex spectrum decoding; Decoding; Representational dynamics
تواريخ الأحداث: Date Created: 20220725 Date Completed: 20220816 Latest Revision: 20240210
رمز التحديث: 20240210
مُعرف محوري في PubMed: PMC10565838
DOI: 10.1016/j.neuroimage.2022.119462
PMID: 35872176
قاعدة البيانات: MEDLINE
الوصف
تدمد:1095-9572
DOI:10.1016/j.neuroimage.2022.119462