Literature DB >> 16005998

Head motion analysis during cognitive fMRI examination: application in patients with schizophrenia.

Seung-Schik Yoo1, Byung-Gil Choi, Rahyeong Juh, Chi-Un Pae, Chang-Uk Lee.   

Abstract

OBJECTIVES: Functional MRI (fMRI) has become an important imaging modality for analyzing the neural mechanisms underlying schizophrenia. Earlier studies indicate that patients with schizophrenia tend to generate involuntary and unnecessary head motion during visual tasks. Since head motion can deteriorate the quality of fMRI data, an investigation was needed to examine the type and extent of head motion from patients with schizophrenia undergoing fMRI.
METHODS: Patients with schizophrenia and demographically-matched healthy comparison subjects underwent fMRI examination involving visual working memory tasks. We obtained head movement parameters (three translational and three rotational) through mathematical realignment of the volumetric image data, and transformed these parameters into head displacement indices to quantify the subject's head motion in space.
RESULTS: We found no group difference in displacement indices between the two groups. Group comparison of movement parameters indicated that the patient group showed reduced head motion along the superior-inferior direction when compared to healthy individuals.
CONCLUSION: These results suggest that cognitive fMRI examination in patients with schizophrenia can be successfully conducted without the deteriorative effects of head motion.

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Year:  2005        PMID: 16005998     DOI: 10.1016/j.neures.2005.06.004

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  13 in total

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Authors:  Josef Ling; Flannery Merideth; Arvind Caprihan; Amanda Pena; Terri Teshiba; Andrew R Mayer
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2.  A trade-off between somatosensory and auditory related brain activity during object naming but not reading.

Authors:  Mohamed L Seghier; Thomas M H Hope; Susan Prejawa; 'Ōiwi Parker Jones; Melanie Vitkovitch; Cathy J Price
Journal:  J Neurosci       Date:  2015-03-18       Impact factor: 6.167

3.  Transient Arousal Modulations Contribute to Resting-State Functional Connectivity Changes Associated with Head Motion Parameters.

Authors:  Yameng Gu; Feng Han; Lucas E Sainburg; Xiao Liu
Journal:  Cereb Cortex       Date:  2020-09-03       Impact factor: 5.357

4.  Functional magnetic resonance imaging movers and shakers: does subject-movement cause sampling bias?

Authors:  Glenn R Wylie; Helen Genova; John DeLuca; Nancy Chiaravalloti; James F Sumowski
Journal:  Hum Brain Mapp       Date:  2012-07-30       Impact factor: 5.038

Review 5.  Overview of potential procedural and participant-related confounds for neuroimaging of the resting state.

Authors:  Niall W Duncan; Georg Northoff
Journal:  J Psychiatry Neurosci       Date:  2013-03       Impact factor: 6.186

Review 6.  Functional neuroimaging of treatment effects in psychiatry: methodological challenges and recommendations.

Authors:  Gabriel S Dichter; Linmarie Sikich; Allen Song; James Voyvodic; James W Bodfish
Journal:  Int J Neurosci       Date:  2012-04-30       Impact factor: 2.292

7.  Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy.

Authors:  Yameng Gu; Lucas E Sainburg; Sizhe Kuang; Feng Han; Jack W Williams; Yikang Liu; Nanyin Zhang; Xiang Zhang; David A Leopold; Xiao Liu
Journal:  Cereb Cortex       Date:  2021-07-29       Impact factor: 5.357

8.  Individual differences in impulsivity predict head motion during magnetic resonance imaging.

Authors:  Xiang-Zhen Kong; Zonglei Zhen; Xueting Li; Huan-Hua Lu; Ruosi Wang; Ling Liu; Yong He; Yufeng Zang; Jia Liu
Journal:  PLoS One       Date:  2014-08-22       Impact factor: 3.240

9.  Head Motion and Inattention/Hyperactivity Share Common Genetic Influences: Implications for fMRI Studies of ADHD.

Authors:  Baptiste Couvy-Duchesne; Jane L Ebejer; Nathan A Gillespie; David L Duffy; Ian B Hickie; Paul M Thompson; Nicholas G Martin; Greig I de Zubicaray; Katie L McMahon; Sarah E Medland; Margaret J Wright
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

10.  A common neural code for social and monetary rewards in the human striatum.

Authors:  Stephanie J Wake; Keise Izuma
Journal:  Soc Cogn Affect Neurosci       Date:  2017-10-01       Impact factor: 3.436

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