Identifying abnormal connectivity in patients using Dynamic Causal Modelling of fMRI responses

Seghier, Mohamed L.; Zeidman, Peter; Neufeld, Nicholas H.; Leff, Alexander; Price, Cathy J.

doi:10.3389/fnsys.2010.00142

Cited by 83 publications

(102 citation statements)

References 104 publications

(207 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, increased connectivity between the thalamus and the auditory, insular, and sensorimotor cortices has also been reported under propofol-induced anesthesia [64]. Altogether, these findings support the hypothesis of a complex brain connectivity architecture in the emergence of consciousness and demonstrate the importance of considering functions of a brain region in terms of its functional integration rather than segregation [67].…”

Section: Unconsciousness In General Anesthesiasupporting

confidence: 70%

Functional neuroanatomy of disorders of consciousness

Perri

Stender

Laureys

et al. 2014

Epilepsy & Behavior

View full text Add to dashboard Cite

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Our understanding of the mechanisms of loss and recovery of consciousness, following severe brain injury or during anesthesia, is changing rapidly. Recent neuroimaging studies have shown that patients with chronic disorders of consciousness and subjects undergoing general anesthesia present a complex dysfunctionality in the architecture of brain connectivity. At present, the global hallmark of impaired consciousness appears to be a multifaceted dysfunctional connectivity pattern with both within-network loss of connectivity in a widespread frontoparietal network and between-network hyperconnectivity involving other regions such as the insula and ventral tegmental area. Despite ongoing efforts, the mechanisms underlying the emergence of consciousness after severe brain injury are not thoroughly understood. Important questions remain unanswered: What triggers the connectivity impairment leading to disorders of consciousness? Why do some patients recover from coma, while others with apparently similar brain injuries do not? Understanding these mechanisms could lead to a better comprehension of brain function and, hopefully, lead to new therapeutic strategies in this challenging patient population.This article is part of a Special Issue entitled Epilepsy and Consciousness.

show abstract

Section: Unconsciousness In General Anesthesiasupporting

confidence: 70%

Functional neuroanatomy of disorders of consciousness

Perri

Stender

Laureys

et al. 2014

Epilepsy & Behavior

View full text Add to dashboard Cite

show abstract

“…To select the most likely model we used a Bayesian model selection procedure (Penny et al, 2004). Statistical inference on models was conducted using a random-effect approach (RFX; Yvert et al, 2012), a method that is preferred when studying heterogeneous populations or when optimal models can vary across participants (Seghier et al, 2010). Model comparison was conducted on controls, patients, and across participants.…”

Section: Magnetoencephalographic Data Acquisition and Analysismentioning

confidence: 99%

Anterobasal Temporal Lobe Lesions Alter Recurrent Functional Connectivity within the Ventral Pathway during Naming

Campo¹,

Poch

Toledano

et al. 2013

Journal of Neuroscience

View full text Add to dashboard Cite

An increasing amount of evidence supports a crucial role for the anterior temporal lobe (ATL) in semantic processing. Critically, a selective disruption of the functional connectivity between left and right ATLs in patients with chronic aphasic stroke has been illustrated. The aim of the current study was to evaluate the consequences that lesions on the ATL have on the neurocognitive network supporting semantic cognition. Unlike previous work, in this magnetoencephalography study we selected a group of patients with small lesions centered on the left anteroventral temporal lobe before surgery. We then used an effective connectivity method (i.e., dynamic causal modeling) to investigate the consequences that these lesions have on the functional interactions within the network. This approach allowed us to evaluate the directionality of the causal interactions among brain regions and their associated connectivity strengths. Behaviorally, we found that semantic processing was altered when patients were compared with a strictly matched group of controls. Dynamic causal modeling for event related responses revealed that picture naming was associated with a bilateral frontotemporal network, encompassing feedforward and feedback connections. Comparison of specific network parameters between groups revealed that patients displayed selective network adjustments. Specifically, backward connectivity from anterior to posterior temporal lobe was decreased in the ipsilesional hemisphere, whereas it was enhanced in the contralesional hemisphere. These results reinforce the relevance of ATL in semantic memory, as well as its amodal organization, and highlight the role of feedback connections in enabling the integration of the semantic information.

show abstract

“…However, it should be stressed that studying connectivity is essential to provide a complete understanding of the abnormal brain. The function of any brain region cannot be understood in isolation but only in conjunction with regions it interacts with (Seghier et al, 2010). Previous tinnitus connectivity studies were mainly done using magnetoencephalography (MEG) and electroencephalography (EEG) techniques.…”

Section: Introductionmentioning

confidence: 99%

Connectivity graph analysis of the auditory resting state network in tinnitus

et al. 2012

View full text Add to dashboard Cite

Thirteen chronic tinnitus patients and fifteen age-matched healthy controls were studied on a 3 T magnetic resonance imaging (MRI) scanner during resting condition (i.e. eyes closed, no task performance). The auditory resting-state component was selected using an automatic component selection approach. Functional connectivity (correlations/anticorrelations) in the extracted network was portrayed by integrating the independent component analysis (ICA) approach with a graph theory method. Tinnitus and control groups showed different graph connectivity patterns. In the control group, the connectivity graph was divided into two distinct anti-correlated networks. The first one encompassed the auditory cortices and the insula. The second one encompassed frontoparietal and anterior cingulate cortices, brainstem, amygdala, basal ganglia/nucleus accumbens and parahippocampal regions. In the tinnitus group, only one of the two previously described networks was observed, encompassing the auditory cortices and the insula. Direct group comparison showed, in the tinnitus group, an increased functional connectivity between auditory cortices and the left parahippocampal region surviving multiple comparisons. We

show abstract

Identifying abnormal connectivity in patients using Dynamic Causal Modelling of fMRI responses

Cited by 83 publications

References 104 publications

Functional neuroanatomy of disorders of consciousness

Functional neuroanatomy of disorders of consciousness

Anterobasal Temporal Lobe Lesions Alter Recurrent Functional Connectivity within the Ventral Pathway during Naming

Connectivity graph analysis of the auditory resting state network in tinnitus

Contact Info

Product

Resources

About