Literature DB >> 17479523

Structural and functional magnetic resonance imaging in psychiatric disorders.

Godfrey D Pearlson1, Vince Calhoun.   

Abstract

OBJECTIVE: To report on recent advances in both structural and functional brain imaging studies in psychiatry and to highlight their importance for the field.
METHOD: We reviewed recently published articles dealing with such advances and abstracted them into a selective review of the field.
RESULTS: Some of the more important trends include integration of genetic information into research studies, use of novel quantitative image measurement techniques, studies of new subject populations, the use of pharmacologic probes in functional magnetic resonance imaging (fMRI) studies, the incorporation of elements of virtual reality into fMRI task stimuli, and the methodological innovation of hyperscanning.
CONCLUSIONS: A whole series of new approaches and techniques are resulting in rapid advances in neuroimaging in psychiatry. Several of these show the potential for clinical translation.

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Year:  2007        PMID: 17479523     DOI: 10.1177/070674370705200304

Source DB:  PubMed          Journal:  Can J Psychiatry        ISSN: 0706-7437            Impact factor:   4.356


  13 in total

Review 1.  Structural cerebral variations as useful endophenotypes in schizophrenia: do they help construct "extended endophenotypes"?

Authors:  Konasale M Prasad; Matcheri S Keshavan
Journal:  Schizophr Bull       Date:  2008-04-11       Impact factor: 9.306

2.  Schizophrenia: current concepts and approaches to patient care.

Authors:  Peter F Buckley; Adriana Foster
Journal:  Am Health Drug Benefits       Date:  2008-05

3.  Structural Covariance Reveals Alterations in Control and Salience Network Integrity in Chronic Schizophrenia.

Authors:  R Nathan Spreng; Elizabeth DuPre; Jie Lisa Ji; Genevieve Yang; Caroline Diehl; John D Murray; Godfrey D Pearlson; Alan Anticevic
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

Review 4.  The changing impact of genes and environment on brain development during childhood and adolescence: initial findings from a neuroimaging study of pediatric twins.

Authors:  Rhoshel K Lenroot; Jay N Giedd
Journal:  Dev Psychopathol       Date:  2008

5.  Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population.

Authors:  Shengfeng Liu; Haiying Wang; Ming Song; Luxian Lv; Yue Cui; Yong Liu; Lingzhong Fan; Nianming Zuo; Kaibin Xu; Yuhui Du; Qingbao Yu; Na Luo; Shile Qi; Jian Yang; Sangma Xie; Jian Li; Jun Chen; Yunchun Chen; Huaning Wang; Hua Guo; Ping Wan; Yongfeng Yang; Peng Li; Lin Lu; Hao Yan; Jun Yan; Huiling Wang; Hongxing Zhang; Dai Zhang; Vince D Calhoun; Tianzi Jiang; Jing Sui
Journal:  Schizophr Bull       Date:  2019-03-07       Impact factor: 9.306

6.  Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.

Authors:  Nicolle M Correa; Tülay Adali; Yi-Ou Li; Vince D Calhoun
Journal:  IEEE Signal Process Mag       Date:  2010       Impact factor: 12.551

7.  Conjoint and dissociated structural and functional abnormalities in first-episode drug-naive patients with major depressive disorder: a multimodal meta-analysis.

Authors:  Weina Wang; Youjin Zhao; Xinyu Hu; Xiaoqi Huang; Weihong Kuang; Su Lui; Graham J Kemp; Qiyong Gong
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

8.  Physiogenomic analysis of localized FMRI brain activity in schizophrenia.

Authors:  Andreas Windemuth; Vince D Calhoun; Godfrey D Pearlson; Mohan Kocherla; Kanchana Jagannathan; Gualberto Ruaño
Journal:  Ann Biomed Eng       Date:  2008-03-11       Impact factor: 3.934

9.  Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia.

Authors:  Nicolle M Correa; Yi-Ou Li; Tülay Adalı; Vince D Calhoun
Journal:  IEEE J Sel Top Signal Process       Date:  2008-12-01       Impact factor: 6.856

10.  Data-driven approaches for identifying links between brain structure and function in health and disease.

Authors:  Vincent Calhoun
Journal:  Dialogues Clin Neurosci       Date:  2018-06       Impact factor: 5.986

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