Neuroimaging methods in affective neuroscience : Selected methodological issues

Junghöfer, Markus; Peyk, Peter; Flaisch, Tobias; Schupp, Harald T.

Neuroimaging methods in affective neuroscience : Selected methodological issues

Dateien

Junghoefer_et_al2006.pdfGröße: 28.91 MBDownloads: 1061

Datum

2006

Autor:innen

Junghöfer, Markus

Peyk, Peter

Flaisch, Tobias

Schupp, Harald T.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Psychologie

Publikationstyp

Beitrag zu einem Sammelband

Publikationsstatus

Published

Erschienen in

ANDERS, Silke, ed. and others. Understanding emotions. Amsterdam: Elsevier, 2006, pp. 123-143. Progress in Brain Research. 156. Available under: doi: 10.1016/S0079-6123(06)56007-8

Zusammenfassung

A current goal of affective neuroscience is to reveal the relationship between emotion and dynamic brain activity in specific neural circuits. In humans, noninvasive neuroimaging measures are of primary interest in this endeavor. However, methodological issues, unique to each neuroimaging method, have important implications for the design of studies, interpretation of findings, and comparison across studies. With regard to event-related brain potentials, we discuss the need for dense sensor arrays to achieve reference-independent characterization of field potentials and improved estimate of cortical brain sources. Furthermore, limitations and caveats regarding sparse sensor sampling are discussed. With regard to event-related magnetic field (ERF) recordings, we outline a method to achieve magnetoencephalography (MEG) sensor standardization, which improves effects' sizes in typical neuroscientific investigations, avoids the finding of ghost effects, and facilitates comparison of MEG waveforms across studies. Focusing on functional magnetic resonance imaging (fMRI), we question the unjustified application of proportional global signal scaling in emotion research, which can greatly distort statistical findings in key structures implicated in emotional processing and possibly contributing to conflicting results in affective neuroscience fMRI studies, in particular with respect to limbic and paralimbic structures. Finally, a distributed EEG/MEG source analysis with statistical parametric mapping is outlined providing a common software platform for hemodynamic and electromagnetic neuroimaging measures. Taken together, to achieve consistent and replicable patterns of the relationship between emotion and neuroimaging measures, methodological aspects associated with the various neuroimaging techniques may be of similar importance as the definition of emotional cues and task context used to study emotion.

Fachgebiet (DDC)

150 Psychologie

Schlagwörter

Brain, Electroencephalography, Emotions, Magnetic Resonance Imaging, Magnetoencephalography

Zitieren

ISO 690

JUNGHÖFER, Markus, Peter PEYK, Tobias FLAISCH, Harald T. SCHUPP, 2006. Neuroimaging methods in affective neuroscience : Selected methodological issues. In: ANDERS, Silke, ed. and others. Understanding emotions. Amsterdam: Elsevier, 2006, pp. 123-143. Progress in Brain Research. 156. Available under: doi: 10.1016/S0079-6123(06)56007-8

BibTex

@incollection{Junghofer2006Neuro-10529,
  year={2006},
  doi={10.1016/S0079-6123(06)56007-8},
  title={Neuroimaging methods in affective neuroscience : Selected methodological issues},
  number={156},
  publisher={Elsevier},
  address={Amsterdam},
  series={Progress in Brain Research},
  booktitle={Understanding emotions},
  pages={123--143},
  editor={Anders, Silke},
  author={Junghöfer, Markus and Peyk, Peter and Flaisch, Tobias and Schupp, Harald T.}
}

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Universitätsbibliographie

Ja