scholarly journals Altered Spontaneous Brain Activity in Schizophrenia: A Meta-Analysis and a Large-Sample Study

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yongjie Xu ◽  
Chuanjun Zhuo ◽  
Wen Qin ◽  
Jiajia Zhu ◽  
Chunshui Yu
Keyword(s):  
Posterior Parietal Cortex ◽  
Brain Activity ◽  
Meta Analysis ◽  
Temporal Cortex ◽  
Likelihood Estimation ◽  
Occipital Cortex ◽  
Future Research ◽  
Similar Distribution ◽  
Large Sample ◽  
Spontaneous Brain Activity

Altered spontaneous brain activity as measured by ALFF, fALFF, and ReHo has been reported in schizophrenia, but no consensus has been reached on alternations of these indexes in the disorder. We aimed to clarify the regional alterations in ALFF, fALFF, and ReHo in schizophrenia using a meta-analysis and a large-sample validation. A meta-analysis of activation likelihood estimation was conducted based on the abnormal foci of ten studies. A large sample of 86 schizophrenia patients and 89 healthy controls was compared to verify the results of the meta-analysis. Meta-analysis demonstrated that the alternations in ALFF and ReHo had similar distribution in schizophrenia patients. The foci with decreased ALFF/fALFF and ReHo in schizophrenia were mainly located in the somatosensory cortex, posterior parietal cortex, and occipital cortex; however, foci with increased ALFF/fALFF and ReHo were mainly located in the bilateral striatum, medial temporal cortex, and medial prefrontal cortex. The large-sample study showed consistent findings with the meta-analysis. These findings may expound the pathophysiological hypothesis and guide future research.

scholarly journals Sensory perception in autism: an fMRI ALE meta-analysis

2020 ◽  
Author(s):  
Nazia Jassim ◽  
Simon Baron-Cohen ◽  
John Suckling
Keyword(s):  
Meta Analysis ◽  
Likelihood Estimation ◽  
Sensory Perception ◽  
Superior Temporal Gyrus ◽  
Occipital Cortex ◽  
Anterior Cingulate ◽  
Future Research ◽  
Precentral Gyrus ◽  
And Control ◽  
Lateral Occipital Cortex

Sensory sensitivities occur in up to 90% of autistic individuals. With the recent inclusion of sensory symptoms in the diagnostic criteria for autism, there is a current need to develop neural hypotheses related to autistic sensory perception. Using activation likelihood estimation (ALE), we meta-analysed 52 task-based fMRI studies investigating differences between autistic (n=891) and control (n=967) participants during non-social sensory perception. During complex perception, autistic groups showed more activity in the secondary somatosensory and occipital cortices, insula, caudate, superior temporal gyrus, and inferior parietal lobule, while control groups showed more activity in the frontal and parietal regions. During basic sensory processing, autistic groups showed hyperactivity in the lateral occipital cortex, primary somatosensory and motor cortices, insula, caudate, and thalamus, while controls showed heightened activity in the precentral gyrus, middle frontal gyrus, precuneus, and anterior cingulate cortex. We conclude that autistic individuals, on average, show distinct engagement of sensory-related brain networks during sensory perception. These findings may help guide future research to focus on relevant neurobiological mechanisms underpinning the autistic experience.

scholarly journals Meta-analysis of resting-state fMRI in depression: generating spatial hypotheses for potential clinical applications

2014 ◽  
Author(s):  
Benedikt Sundermann ◽  
Mona Olde lütke Beverborg ◽  
Bettina Pfleiderer
Keyword(s):  
Resting State ◽  
Spatial Information ◽  
Brain Activity ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Diagnostic Classification Models ◽  
Spontaneous Brain Activity

Information derived from functional magnetic resonance imaging (fMRI) during wakeful rest has been introduced as a candidate diagnostic biomarker in unipolar major depressive disorder (MDD). Multiple reports of resting state fMRI in MDD describe group effects. Such prior knowledge can be adopted to pre-select potentially discriminating features, for example for diagnostic classification models with the aim to improve diagnostic accuracy. Purpose of this analysis was to consolidate spatial information about alterations of spontaneous brain activity in MDD to serve such feature selection and as a secondary aim to improve understanding of disease mechanisms. 32 studies were included in final analyses. Coordinates extracted from the original reports were assigned to two categories based on directionality of findings. Meta-analyses were calculated using the non-additive activation likelihood estimation approach with coordinates organized by subject group to account for non-independent samples. Results were compared with established resting state networks (RSNs) and spatial representations of recently introduced temporally independent functional modes (TFMs) of spontaneous brain activity. Converging evidence revealed a distributed pattern of brain regions with increased or decreased spontaneous activity in MDD. The most distinct finding was hyperactivity/ hyperconnectivity presumably reflecting the interaction of cortical midline structures (posterior default mode network components associated with self-referential processing and the subgenual anterior cingulate cortex) with lateral frontal areas related to externally-directed cognition. One particular TFM seems to better comprehend the findings than classical RSNs. Alterations that can be captured by resting state fMRI show considerable overlap with those identifiable with other neuroimaging modalities though differing in some aspects.

scholarly journals Neuroimaging distinction between neurological and psychiatric disorders

2015 ◽  
Vol 207 (5) ◽  
pp. 429-434 ◽  
Author(s):  
Nicolas A. Crossley ◽  
Jessica Scott ◽  
Ian Ellison-Wright ◽  
Andrea Mechelli
Keyword(s):  
Psychiatric Disorders ◽  
Neurological Disorders ◽  
Grey Matter ◽  
Meta Analysis ◽  
Temporal Cortex ◽  
Likelihood Estimation ◽  
Occipital Cortex ◽  
Voxel Based Morphometry ◽  
Activation Likelihood Estimation ◽  
Biological Differences

BackgroundIt is unclear to what extent the traditional distinction between neurological and psychiatric disorders reflects biological differences.AimsTo examine neuroimaging evidence for the distinction between neurological and psychiatric disorders.MethodWe performed an activation likelihood estimation meta-analysis on voxel-based morphometry studies reporting decreased grey matter in 14 neurological and 10 psychiatric disorders, and compared the regional and network-level alterations for these two classes of disease. In addition, we estimated neuroanatomical heterogeneity within and between the two classes.ResultsBasal ganglia, insula, sensorimotor and temporal cortex showed greater impairment in neurological disorders; whereas cingulate, medial frontal, superior frontal and occipital cortex showed greater impairment in psychiatric disorders. The two classes of disorders affected distinct functional networks. Similarity within classes was higher than between classes; furthermore, similarity within class was higher for neurological than psychiatric disorders.ConclusionsFrom a neuroimaging perspective, neurological and psychiatric disorders represent two distinct classes of disorders.

scholarly journals Meta-analysis of resting-state fMRI in depression: generating spatial hypotheses for potential clinical applications

2014 ◽  
Author(s):  
Benedikt Sundermann ◽  
Mona Olde lütke Beverborg ◽  
Bettina Pfleiderer
Keyword(s):  
Resting State ◽  
Spatial Information ◽  
Brain Activity ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Diagnostic Classification Models ◽  
Spontaneous Brain Activity

Information derived from functional magnetic resonance imaging (fMRI) during wakeful rest has been introduced as a candidate diagnostic biomarker in unipolar major depressive disorder (MDD). Multiple reports of resting state fMRI in MDD describe group effects. Such prior knowledge can be adopted to pre-select potentially discriminating features, for example for diagnostic classification models with the aim to improve diagnostic accuracy. Purpose of this analysis was to consolidate spatial information about alterations of spontaneous brain activity in MDD to serve such feature selection and as a secondary aim to improve understanding of disease mechanisms. 32 studies were included in final analyses. Coordinates extracted from the original reports were assigned to two categories based on directionality of findings. Meta-analyses were calculated using the non-additive activation likelihood estimation approach with coordinates organized by subject group to account for non-independent samples. Results were compared with established resting state networks (RSNs) and spatial representations of recently introduced temporally independent functional modes (TFMs) of spontaneous brain activity. Converging evidence revealed a distributed pattern of brain regions with increased or decreased spontaneous activity in MDD. The most distinct finding was hyperactivity/ hyperconnectivity presumably reflecting the interaction of cortical midline structures (posterior default mode network components associated with self-referential processing and the subgenual anterior cingulate cortex) with lateral frontal areas related to externally-directed cognition. One particular TFM seems to better comprehend the findings than classical RSNs. Alterations that can be captured by resting state fMRI show considerable overlap with those identifiable with other neuroimaging modalities though differing in some aspects.

scholarly journals Spontaneous perception: a framework for task-free, self-paced perception

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Shira Baror ◽  
Biyu J He
Keyword(s):  
Time Course ◽  
Visual Experience ◽  
Brain Activity ◽  
Human Perception ◽  
Future Research ◽  
Task Constraints ◽  
Spontaneous Brain Activity ◽  
The Brain ◽  
Coarse To Fine ◽  
Organizing Principles

Abstract Flipping through social media feeds, viewing exhibitions in a museum, or walking through the botanical gardens, people consistently choose to engage with and disengage from visual content. Yet, in most laboratory settings, the visual stimuli, their presentation duration, and the task at hand are all controlled by the researcher. Such settings largely overlook the spontaneous nature of human visual experience, in which perception takes place independently from specific task constraints and its time course is determined by the observer as a self-governing agent. Currently, much remains unknown about how spontaneous perceptual experiences unfold in the brain. Are all perceptual categories extracted during spontaneous perception? Does spontaneous perception inherently involve volition? Is spontaneous perception segmented into discrete episodes? How do different neural networks interact over time during spontaneous perception? These questions are imperative to understand our conscious visual experience in daily life. In this article we propose a framework for spontaneous perception. We first define spontaneous perception as a task-free and self-paced experience. We propose that spontaneous perception is guided by four organizing principles that grant it temporal and spatial structures. These principles include coarse-to-fine processing, continuity and segmentation, agency and volition, and associative processing. We provide key suggestions illustrating how these principles may interact with one another in guiding the multifaceted experience of spontaneous perception. We point to testable predictions derived from this framework, including (but not limited to) the roles of the default-mode network and slow cortical potentials in underlying spontaneous perception. We conclude by suggesting several outstanding questions for future research, extending the relevance of this framework to consciousness and spontaneous brain activity. In conclusion, the spontaneous perception framework proposed herein integrates components in human perception and cognition, which have been traditionally studied in isolation, and opens the door to understand how visual perception unfolds in its most natural context.

scholarly journals Separated and overlapping neural coding of face and body identity

2021 ◽  
Author(s):  
Celia Foster ◽  
Mintao Zhao ◽  
Timo Bolkart ◽  
Michael J. Black ◽  
Andreas Bartels ◽  
...  
Keyword(s):  
Neural Coding ◽  
Brain Activity ◽  
Temporal Cortex ◽  
Occipital Cortex ◽  
Visual Input ◽  
Neural Representation ◽  
Body Images ◽  
General Role ◽  
Low Level ◽  
Person Identity

AbstractRecognising a person’s identity often relies on face and body information, and is tolerant to changes in low-level visual input (e.g. viewpoint changes). Previous studies have suggested that face identity is disentangled from low-level visual input in the anterior face-responsive regions. It remains unclear which regions disentangle body identity from variations in viewpoint, and whether face and body identity are encoded separately or combined into a coherent person identity representation. We trained participants to recognize three identities, and then recorded their brain activity using fMRI while they viewed face and body images of the three identities from different viewpoints. Participants’ task was to respond to either the stimulus identity or viewpoint. We found consistent decoding of body identity across viewpoint in the fusiform body area, right anterior temporal cortex, middle frontal gyrus and right insula. This finding demonstrates a similar function of fusiform and anterior temporal cortex for bodies as has previously been shown for faces, suggesting these regions may play a general role in extracting high-level identity information. Moreover, we could decode identity across neural activity evoked by faces and bodies in the early visual cortex, right inferior occipital cortex, right parahippocampal cortex and right superior parietal cortex, revealing a distributed network that encodes person identity abstractly. Lastly, identity decoding was consistently better when participants attended to identity, indicating that attention to identity enhances its neural representation. These results offer new insights into how the brain develops an abstract neural coding of person identity, shared by faces and bodies.

scholarly journals Neural underpinnings of morality judgment and moral aesthetic judgment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Qiuping Cheng ◽  
Xue Wen ◽  
Guozhen Ye ◽  
Yanchi Liu ◽  
Yilong Kong ◽  
...  
Keyword(s):  
Brain Activity ◽  
Temporal Cortex ◽  
Occipital Cortex ◽  
Brain Regions ◽  
Aesthetic Judgment ◽  
Aesthetic Pleasure ◽  
Neural Underpinnings ◽  
Motor Representations ◽  
The Relationship ◽  
The Brain

AbstractMorality judgment usually refers to the evaluation of moral behavior`s ability to affect others` interests and welfare, while moral aesthetic judgment often implies the appraisal of moral behavior's capability to provide aesthetic pleasure. Both are based on the behavioral understanding. To our knowledge, no study has directly compared the brain activity of these two types of judgments. The present study recorded and analyzed brain activity involved in the morality and moral aesthetic judgments to reveal whether these two types of judgments differ in their neural underpinnings. Results reveled that morality judgment activated the frontal, parietal and occipital cortex previously reported for motor representations of behavior. Evaluation of goodness and badness showed similar patterns of activation in these brain regions. In contrast, moral aesthetic judgment elicited specific activations in the frontal, parietal and temporal cortex proved to be involved in the behavioral intentions and emotions. Evaluation of beauty and ugliness showed similar patterns of activation in these brain regions. Our findings indicate that morality judgment and moral aesthetic judgment recruit different cortical networks that might decode others' behaviors at different levels. These results contribute to further understanding of the essence of the relationship between morality judgment and aesthetic judgment.

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