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使用 fMRI 数据的多变量模式分析评估精神分裂症和双相情感障碍患者的物体感知神经调谐。

Assessing neural tuning for object perception in schizophrenia and bipolar disorder with multivariate pattern analysis of fMRI data.

机构信息

Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90024; USA.

Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, CA 90073, USA.

出版信息

Neuroimage Clin. 2017 Sep 1;16:491-497. doi: 10.1016/j.nicl.2017.08.023. eCollection 2017.

Abstract

INTRODUCTION

Deficits in visual perception are well-established in schizophrenia and are linked to abnormal activity in the lateral occipital complex (LOC). Related deficits may exist in bipolar disorder. LOC contains neurons tuned to object features. It is unknown whether neural tuning in LOC or other visual areas is abnormal in patients, contributing to abnormal perception during visual tasks. This study used multivariate pattern analysis (MVPA) to investigate perceptual tuning for objects in schizophrenia and bipolar disorder.

METHODS

Fifty schizophrenia participants, 51 bipolar disorder participants, and 47 matched healthy controls completed five functional magnetic resonance imaging (fMRI) runs of a perceptual task in which they viewed pictures of four different objects and an outdoor scene. We performed classification analyses designed to assess the distinctiveness of activity corresponding to perception of each stimulus in LOC (a functionally localized region of interest). We also performed similar classification analyses throughout the brain using a searchlight technique. We compared classification accuracy and patterns of classification errors across groups.

RESULTS

Stimulus classification accuracy was significantly above chance in all groups in LOC and throughout visual cortex. Classification errors were mostly within-category confusions (e.g., misclassifying one chair as another chair). There were no group differences in classification accuracy or patterns of confusion.

CONCLUSIONS

The results show for the first time MVPA can be used successfully to classify individual perceptual stimuli in schizophrenia and bipolar disorder. However, the results do not provide evidence of abnormal neural tuning in schizophrenia and bipolar disorder.

摘要

简介

精神分裂症患者的视觉感知存在缺陷,这与外侧枕叶复合体(LOC)的异常活动有关。双相情感障碍也可能存在相关缺陷。LOC 包含对物体特征敏感的神经元。目前尚不清楚 LOC 或其他视觉区域的神经调谐是否异常,这是否会导致在视觉任务中出现异常感知。本研究使用多元模式分析(MVPA)来研究精神分裂症和双相情感障碍患者的物体感知调谐。

方法

50 名精神分裂症患者、51 名双相情感障碍患者和 47 名匹配的健康对照者完成了五次功能磁共振成像(fMRI)感知任务,他们在任务中观看了四张不同物体和一张户外场景的图片。我们进行了分类分析,旨在评估 LOC(一个功能定位的兴趣区域)中对应于每种刺激感知的活动的独特性。我们还使用搜索光技术在整个大脑中进行了类似的分类分析。我们比较了各组的分类准确性和分类错误模式。

结果

在 LOC 和整个视觉皮层中,所有组的刺激分类准确性均明显高于随机水平。分类错误主要是类别内混淆(例如,将一把椅子错误地归类为另一把椅子)。各组在分类准确性或混淆模式上没有差异。

结论

这些结果首次表明,MVPA 可成功用于分类精神分裂症和双相情感障碍患者的个体感知刺激。然而,结果并未提供精神分裂症和双相情感障碍患者神经调谐异常的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ac0/5596305/1ff028bcac6d/gr1.jpg

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