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Titolo:
Impact of signal-to-noise on functional MRI of the human amygdala
Autore:
LaBar, KS; Gitelman, DR; Mesulam, MM; Parrish, TB;
Indirizzi:
Duke Univ, Ctr Cognit Neurosci, Durham, NC 27708 USA Duke Univ Durham NC USA 27708 , Ctr Cognit Neurosci, Durham, NC 27708 USA Northwestern Univ, Sch Med, Dept Neurol, Chicago, IL 60611 USA Northwestern Univ Chicago IL USA 60611 Dept Neurol, Chicago, IL 60611 USA Northwestern Univ, Sch Med, Dept Radiol, Chicago, IL 60611 USA Northwestern Univ Chicago IL USA 60611 Dept Radiol, Chicago, IL 60611 USA
Titolo Testata:
NEUROREPORT
fascicolo: 16, volume: 12, anno: 2001,
pagine: 3461 - 3464
SICI:
0959-4965(20011116)12:16<3461:IOSOFM>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
ACTIVATION;
Keywords:
affect; emotion; fear; limbic system; neuroimaging;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: LaBar, KS Duke Univ, Ctr Cognit Neurosci, Box 90999 B203 Levine Sci Res Ctr, Durham,NC 27708 USA Duke Univ Box 90999 B203 Levine Sci Res Ctr Durham NC USA 27708
Citazione:
K.S. LaBar et al., "Impact of signal-to-noise on functional MRI of the human amygdala", NEUROREPORT, 12(16), 2001, pp. 3461-3464

Abstract

The impact of signal-to-noise (SNR) on fMRI of the amygdala was investigated during a picture encoding task. The SNR value required to observe reliable activation was determined by computer simulations. Blood oxygen level-dependent (BOLD) sensitivity maps were generated to indicate brain regions with sufficient SNR to test the statistical hypotheses. The results showed that the medial aspect of the amygdala had insufficient SNR to detect a 1% peak BOLD signal change for a t-test comparison in a majority of subjects. None of these subjects showed activation in regions with unacceptable SNR values, indicating a low false positive rate. Furthermore, hemispheric asymmetries in the BOLD sensitivity maps mirrored asymmetries in the activation patterns. Impoverished SNR was also found in the basal forebrain and orbitofrontal cortex. These findings emphasize the importance of considering SNR when interpreting fMRI results in the limbic forebrain. (C) 2001 Lippincott Williams & Wilkins.

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Documento generato il 22/01/20 alle ore 22:39:57