Introduction to Human Neuroimaging explains the principles, signals, and uses of major brain-imaging methods. Coverage includes fMRI, EEG, MEG, PET, and near-infrared spectroscopy, with attention to experimental design, analysis, interpretation, and methodological limits. The textbook addresses undergraduate and graduate students in behavioral and brain sciences seeking a conceptual foundation for reading neuroimaging research.
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The text introduces what different neuroimaging techniques measure and the physical principles behind their signals. Functional MRI, electroencephalography, magnetoencephalography, positron emission tomography, and near-infrared spectroscopy are compared through their capabilities and limitations. Conceptual explanation takes priority over extensive mathematical detail, supporting readers who are beginning to engage with research methods.
Experimental design topics include block and event-related approaches, while analysis coverage considers preprocessing, motion correction, normalization, and statistical inference. Interpretation receives attention through questions of causation, multiple comparisons, and common errors in reading results. Ethical issues, reproducibility, and open science extend the methodological discussion. Students can use the book to connect a study's research question with its measurement choices and analytical assumptions.
This textbook explains what major brain-imaging methods measure and how their signals are produced. fMRI, EEG, MEG, PET and near-infrared spectroscopy are compared through capability and limitation, with experimental design, analysis and interpretation treated as parts of one research workflow.
The book introduces the physical principles behind neuroimaging signals before comparing how different techniques capture brain activity. Functional MRI, electroencephalography, magnetoencephalography, positron emission tomography and near-infrared spectroscopy are set against one another in terms of what they can and cannot show. Conceptual explanation is favoured over heavy mathematics, which suits readers beginning to engage with research methods. Experimental design covers block and event-related approaches, while analysis considers preprocessing, motion correction, normalization and statistical inference. Interpretation is addressed through questions of causation, multiple comparisons and common errors. Ethics, reproducibility and open science extend the methodological discussion so that measurement choices can be connected to the assumptions they carry.
Each imaging method rests on a physical signal. The book explains what those signals reflect before moving to application, giving readers a basis for understanding why techniques differ in what they reveal about the brain.
fMRI, EEG, MEG, PET and near-infrared spectroscopy are presented through their capabilities and limits. Placing them together shows why a research question may favour one technique over another rather than relying on a single preferred method.
Design is treated as the link between a research question and the measurements taken. Block and event-related approaches are introduced to show how the arrangement of stimuli and conditions shapes the data that analysis will later address.
Analysis begins with preparing raw data. Preprocessing, motion correction, normalization and statistical inference are described as stages that influence what a result means, not as neutral technical steps.
Reading results requires caution. Causation, multiple comparisons and familiar interpretive mistakes are examined so that readers can assess claims rather than accept images at face value.
Methodological responsibility extends beyond analysis. Ethical conduct, reproducibility and open-science practices are presented as part of doing and evaluating neuroimaging research well.
Undergraduate and graduate students in behavioural and brain sciences who need a conceptual foundation for reading neuroimaging research without advanced mathematics.
Edition, audience, and study-guide details at a glance.
Introduction to Human Neuroimaging explains the principles, signals, and uses of major brain-imaging methods. Coverage includes fMRI, EEG, MEG, PET, and near-infrared spectroscopy, with attention to experimental design, analysis, interpretation, and methodological limits. The textbook addresses undergraduate and graduate students in behavioral and brain sciences seeking a conceptual foundation for reading neuroimaging research.
Undergraduate and graduate students in behavioural and brain sciences who need a conceptual foundation for reading neuroimaging research without advanced mathematics.
Yes. This page includes an original study guide with six thematic sections, key takeaways, and a topic map for structured reading.
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