State-dependent changes of connectivity patterns and functional brain network topology in autism spectrum disorder

Barttfeld, Pablo; Wicker, Bruno; Cukier, Sebastián; Navarta, Silvana Elisa; Lew, Sergio E.; Leiguarda, R; Sigman, Mariano

doi:10.1016/j.neuropsychologia.2012.09.047

Cited by 75 publications

(75 citation statements)

References 80 publications

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“…Indeed, the default mode network (DMN), the most prominent functional network at rest, is most active when subjects direct attention to inward processes, such as daydreaming or imagining (6). Furthermore, when a subject is interrupted during the resting state, functional connectivity patterns at the time of interruption can partially predict whether a subject was imagining or mind wandering (7,8), and what was the focus of attention (9).…”

mentioning

confidence: 99%

Signature of consciousness in the dynamics of resting-state brain activity

Barttfeld

Uhrig

Sitt

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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mentioning

confidence: 99%

Signature of consciousness in the dynamics of resting-state brain activity

Barttfeld

Uhrig

Sitt

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

599

696

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“…The uniqueness of our work is twofold: First, it distinctively identifies networks that covary with objective (type I) performance on a visual task and metacognitive accuracy (type II). Second, it measures functional networks in different attentional states to examine whether a relatively narrow library of networks of stable mental states may be better indicators of individual traits than measures of resting state per se (16,30).…”

Section: Discussionmentioning

confidence: 99%

Distinct patterns of functional brain connectivity correlate with objective performance and subjective beliefs

Barttfeld

Wicker

McAleer

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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The degree of correspondence between objective performance and subjective beliefs varies widely across individuals. Here we demonstrate that functional brain network connectivity measured before exposure to a perceptual decision task covaries with individual objective (type-I performance) and subjective (type-II performance) accuracy. Increases in connectivity with type-II performance were observed in networks measured while participants directed attention inward (focus on respiration), but not in networks measured during states of neutral (resting state) or exogenous attention. Measures of type-I performance were less sensitive to the subjects' specific attentional states from which the networks were derived. These results suggest the existence of functional brain networks indexing objective performance and accuracy of subjective beliefs distinctively expressed in a set of stable mental states.D ecisions often bear upon other decisions, as when we seek a second medical opinion before undergoing a risky surgical intervention. These "metadecisions" are mediated by confidence judgments, the degree to which decision makers consider that their choices are likely to be correct. Confidence judgments can be severely distorted: People may lack confidence when responding correctly and reciprocally, be very confident of incorrect responses (1-6). In classic perceptual tasks followed by a confidence report, one can distinguish between (i) the ability to correctly discriminate between stimulus alternatives, referred to as type-I performance, and (ii) the ability of confidence judgments to discriminate between correct and incorrect responses, referred to as type-II performance (2, 7). The objective of this work is to investigate whether functional brain networks distinctively covary with type-I and type-II performance.Network organization of resting state functional brain activity can account for individual differences in several cognitive functions (8-13). These studies rely on networks derived from the "resting state" (14, 15). Recently, Tang et al. (16) showed the formation of distinct brain networks in the maintenance of three welldefined mental states that vary the focus of attention: resting, alert, and meditation states (16). Here we capitalize on this idea, deriving functional brain networks for each individual, varying the focus of attention toward internal states (interoception, focus on respiration), external stimulus (exteroception), or remaining in a resting state of free thought.Interoception (generically defined as the ability to detect subtle changes in bodily systems, including muscles, skin, joints, and viscera) (17), is closely related to metacognition of agency (18,19). We reasoned that this may more generally reflect a partially overlapping system regulating attention to internal states, including interoception (focus on body systems) and metacognitive ability (focus on internal thoughts and feelings). Hence, our working hypothesis is that increases in functional connectivity with the quality of subject...

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“…This connectivity matrix produces a weighted graph in which each electrode corresponds to a node and each link is determined by the SL of an electrode pair. To calculate network measures, SL matrices were converted to binary undirected matrices by applying a threshold T. We explored a broad range of values of 0.01 < T < 0.2, with increments of 0.0005, and we repeated the full analysis for each value of T. Based on previous works [35,36,37,38,39,40], graph theory metrics [41] were performed on these thresholded matrices, measuring the clustering coefficient C, the characteristic path length L and the modularity index MI of brain networks, using the BCT toolbox [41]. Finally, we performed ANOVAs with group (CT or patients) and T (binned in 8) as independent factors.…”

Section: Methodsmentioning

confidence: 99%

Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder

et al. 2014

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Objectives: To assess brain functional connectivity and variability in adults with attention deficit/hyperactivity disorder (ADHD) or euthymic bipolar disorder (BD) relative to a control (CT) group. Methods: Electroencephalography (EEG) was measured in 35 participants (BD = 11; ADHD = 9; CT = 15) during an eyes-closed 10-min rest period, and connectivity and graph theory metrics were computed. A coefficient of variation (CV) computed also the connectivity's temporal variability of EEG. Multivariate associations between functional connectivity and clinical and neuropsychological profiles were evaluated. Results: An enhancement of functional connectivity was observed in the ADHD (fronto-occipital connections) and BD (diffuse connections) groups. However, compared with CTs, intrinsic variability (CV) was enhanced in the ADHD group and reduced in the BD group. Graph theory metrics confirmed the existence of several abnormal network features in both affected groups. Significant associations of connectivity with symptoms were also observed. In the ADHD group, temporal variability of functional connections was associated with executive function and memory deficits. Depression, hyperactivity and impulsivity levels in the ADHD group were associated with abnormal intrinsic connectivity. In the BD group, levels of anxiety and depression were related to abnormal frontotemporal connectivity. Conclusions: In the ADHD group, we found that intrinsic variability was associated with deficits in cognitive performance and that connectivity abnormalities were related to ADHD symptomatology. The BD group exhibited less intrinsic variability and more diffuse long-range brain connections, and those abnormalities were related to interindividual differences in depression and anxiety. These preliminary results are relevant for neurocognitive models of abnormal brain connectivity in both disorders.

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State-dependent changes of connectivity patterns and functional brain network topology in autism spectrum disorder

Cited by 75 publications

References 80 publications

Signature of consciousness in the dynamics of resting-state brain activity

Signature of consciousness in the dynamics of resting-state brain activity

Distinct patterns of functional brain connectivity correlate with objective performance and subjective beliefs

Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder

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