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Russell S Richardson - One of the best experts on this subject based on the ideXlab platform.
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the passive leg movement technique for assessing vascular function the impact of baseline blood flow
Experimental Physiology, 2021Co-Authors: Katherine L Shields, Russell S Richardson, Ryan M Broxterman, Catherine L Jarrett, A V Bisconti, Soung Hun ParkAbstract:NEW FINDINGS What is the central question of this study? The passive leg movement (PLM) assessment of vascular function utilizes the blood flow response in the common femoral artery (CFA): what is the impact of baseline CFA blood flow on the PLM response? What is the main finding and its importance? Although an attenuated PLM response is not an obligatory consequence of increased baseline CFA blood flow, increased blood flow through the deep femoral artery will diminish the response. Care should be taken to ensure that a genuine baseline leg blood flow is obtained prior to performing a PLM vascular function assessment. ABSTRACT The passive leg movement (PLM) assessment of vascular function utilizes the blood flow response in the common femoral artery (CFA). This response is primarily driven by vasodilation of the microvasculature downstream from the deep (DFA) and, to a lesser extent, the superficial (SFA) femoral artery, which facilitate blood flow to the upper and lower leg, respectively. However, the impact of baseline CFA blood flow on the PLM response is unknown. Therefore, to manipulate baseline CFA blood flow, PLM was performed with and without upper and lower leg cutaneous heating in 10 healthy subjects, with blood flow (ultrasound Doppler) and blood pressure (finometer) assessed. Baseline blood flow was significantly increased in the CFA (∼97%), DFA (∼109%) and SFA (∼78%) by upper leg heating. This increase in baseline CFA blood flow significantly attenuated the PLM-induced total blood flow in the DFA (∼62%), which was reflected by a significant fall in blood flow in the CFA (∼49%), but not in the SFA. Conversely, lower leg heating increased blood flow in the CFA (∼68%) and SFA (∼160%), but not in the DFA. Interestingly, this increase in baseline CFA blood flow only significantly attenuated the PLM-induced total blood flow in the SFA (∼60%), and not in the CFA or DFA. Thus, although an attenuated PLM response is not an obligatory consequence of an increase in baseline CFA blood flow, an increase in baseline blood flow through the DFA will diminish the PLM response. Therefore, care should be taken to ensure that a genuine baseline leg blood flow is obtained prior to performance of a PLM vascular function assessment.
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the passive leg movement technique for assessing vascular function defining the distribution of blood flow and the impact of occluding the lower leg
Experimental Physiology, 2019Co-Authors: Katherine L Shields, Ryan M Broxterman, Catherine L Jarrett, A V Bisconti, Soung Hun Park, Russell S RichardsonAbstract:NEW FINDINGS What is the central question of this study? What is the distribution of the hyperaemic response to passive leg movement (PLM) in the common (CFA), deep (DFA) and superficial (SFA) femoral arteries? What is the impact of lower leg cuff-induced blood flow occlusion on this response? What is the main finding and its importance? Of the total blood that passed through the CFA, the majority was directed to the DFA and this was unaffected by cuffing. As a small fraction does pass through the SFA to the lower leg, cuffing during PLM should be considered to emphasize the thigh-specific hyperaemia. ABSTRACT It has yet to be quantified how passive leg movement (PLM)-induced hyperaemia, an index of vascular function, is distributed beyond the common femoral artery (CFA), into the deep femoral (DFA) and the superficial femoral (SFA) arteries, which supply blood to the thigh and lower leg, respectively. Furthermore, the impact of cuffing the lower leg, a common practice, especially with drug infusions during PLM, on the hyperaemic response is, also, unknown. Therefore, PLM was performed with and without cuff-induced blood flow (BF) occlusion to the lower leg in 10 healthy subjects, with BF assessed by Doppler ultrasound. In terms of BF distribution during PLM, of the 380 ± 191 ml of blood that passed through the CFA, 69 ± 8% was directed to the DFA, while only 31 ± 8% passed through the SFA. Cuff occlusion of the lower leg significantly attenuated the PLM-induced hyperaemia through the SFA (∼30%), which was reflected by a fall in BF through the CFA (∼20%), but not through the DFA. Additionally, cuff occlusion significantly attenuated the PLM-induced peak change in BF (BFΔpeak ) in the SFA (324 ± 159 to 214 ± 114 ml min-1 ), which was, again, reflected in the CFA (1019 ± 438 to 833 ± 476 ml min-1 ), but not in the DFA. Thus, the PLM-induced hyperaemia predominantly passes through the DFA and this was unaltered by cuffing. However, as a small fraction of the PLM-induced hyperaemia does pass through the SFA to the lower leg, cuffing the lower leg during PLM should be considered to emphasize thigh-specific hyperaemia in the PLM assessment of vascular function.
Eugene Mayer - One of the best experts on this subject based on the ideXlab platform.
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a network of occipito temporal face sensitive areas besides the right middle fusiform gyrus is necessary for normal face processing
Brain, 2003Co-Authors: Bruno Rossion, Roberto Caldara, Annemarie Schuller, Francois Lazeyras, Mohamed L Seghier, Eugene MayerAbstract:Neuroimaging studies have identified at least two bilateral areas of the visual extrastriate cortex that respond more to pictures of faces than objects in normal human subjects in the middle fusiform gyrus [the 'fusiform face area' (FFA)] and, more posteriorly, in the inferior occipital cortex ['occipital face area' (OFA)], with a right hemisphere dominance. However, it is not yet clear how these regions interact which each other and whether they are all necessary for normal face perception. It has been proposed that the right hemisphere FFA acts as an isolated ('modular') processing system for faces or that this region receives its face-sensitive inputs from the OFA in a feedforward hierarchical model of face processing. To test these proposals, we report a detailed neuropsychological investigation combined with a neuroimaging study of a patient presenting a deficit restricted to face perception, consecutive to bilateral occipito-temporal lesions. Due to the asymmetry of the lesions, the left middle fusiform gyrus and the right inferior occipital cortex were damaged but the right middle fusiform gyrus was structurally intact. Using functional MRI, we disclosed a normal activation of the right FFA in response to faces in the patient despite the absence of any feedforward inputs from the right OFA, located in a damaged area of cortex. Together, these findings show that the integrity of the right OFA is necessary for normal face perception and suggest that the face-sensitive responses observed at this level in normal subjects may arise from feedback connections from the right FFA. In agreement with the current literature on the anatomical basis of prosopagnosia, it is suggested that the FFA and OFA in the right hemisphere and their re-entrant integration are necessary for normal face processing.
Blake W. Johnson - One of the best experts on this subject based on the ideXlab platform.
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Development of face recognition: Dynamic causal modelling of MEG data
Elsevier, 2018Co-Authors: Blake W. JohnsonAbstract:Electrophysiological studies of adults indicate that brain activity is enhanced during viewing of repeated faces, at a latency of about 250 ms after the onset of the face (M250/N250). The present study aimed to determine if this effect was also present in preschool-aged children, whose brain activity was measured in a custom-sized pediatric MEG system. The results showed that, unlike adults, face repetition did not show any significant modulation of M250 amplitude in children; however children’s M250 latencies were significantly faster for repeated than non-repeated faces. Dynamic causal modelling (DCM) of the M250 in both age groups tested the effects of face repetition within the core face network including the occipital face area (OFA), the fusiform face area (FFA), and the superior temporal sulcus (STS). DCM revealed that repetition of identical faces altered both forward and backward connections in children and adults; however the modulations involved inputs to both FFA and OFA in adults but only to OFA in children. These findings suggest that the amplitude-insensitivity of the immature M250 may be due to a weaker connection between the FFA and lower visual areas. Keywords: MEG, Face recognition, Repetition, DCM, M250, M17
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Development of face recognition: Dynamic causal modelling of MEG data.
Developmental cognitive neuroscience, 2017Co-Authors: Blake W. JohnsonAbstract:Electrophysiological studies of adults indicate that brain activity is enhanced during viewing of repeated faces, at a latency of about 250 ms after the onset of the face (M250/N250). The present study aimed to determine if this effect was also present in preschool-aged children, whose brain activity was measured in a custom-sized pediatric MEG system. The results showed that, unlike adults, face repetition did not show any significant modulation of M250 amplitude in children; however children's M250 latencies were significantly faster for repeated than non-repeated faces. Dynamic causal modelling (DCM) of the M250 in both age groups tested the effects of face repetition within the core face network including the occipital face area (OFA), the fusiform face area (FFA), and the superior temporal sulcus (STS). DCM revealed that repetition of identical faces altered both forward and backward connections in children and adults; however the modulations involved inputs to both FFA and OFA in adults but only to OFA in children. These findings suggest that the amplitude-insensitivity of the immature M250 may be due to a weaker connection between the FFA and lower visual areas.
A V Bisconti - One of the best experts on this subject based on the ideXlab platform.
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the passive leg movement technique for assessing vascular function the impact of baseline blood flow
Experimental Physiology, 2021Co-Authors: Katherine L Shields, Russell S Richardson, Ryan M Broxterman, Catherine L Jarrett, A V Bisconti, Soung Hun ParkAbstract:NEW FINDINGS What is the central question of this study? The passive leg movement (PLM) assessment of vascular function utilizes the blood flow response in the common femoral artery (CFA): what is the impact of baseline CFA blood flow on the PLM response? What is the main finding and its importance? Although an attenuated PLM response is not an obligatory consequence of increased baseline CFA blood flow, increased blood flow through the deep femoral artery will diminish the response. Care should be taken to ensure that a genuine baseline leg blood flow is obtained prior to performing a PLM vascular function assessment. ABSTRACT The passive leg movement (PLM) assessment of vascular function utilizes the blood flow response in the common femoral artery (CFA). This response is primarily driven by vasodilation of the microvasculature downstream from the deep (DFA) and, to a lesser extent, the superficial (SFA) femoral artery, which facilitate blood flow to the upper and lower leg, respectively. However, the impact of baseline CFA blood flow on the PLM response is unknown. Therefore, to manipulate baseline CFA blood flow, PLM was performed with and without upper and lower leg cutaneous heating in 10 healthy subjects, with blood flow (ultrasound Doppler) and blood pressure (finometer) assessed. Baseline blood flow was significantly increased in the CFA (∼97%), DFA (∼109%) and SFA (∼78%) by upper leg heating. This increase in baseline CFA blood flow significantly attenuated the PLM-induced total blood flow in the DFA (∼62%), which was reflected by a significant fall in blood flow in the CFA (∼49%), but not in the SFA. Conversely, lower leg heating increased blood flow in the CFA (∼68%) and SFA (∼160%), but not in the DFA. Interestingly, this increase in baseline CFA blood flow only significantly attenuated the PLM-induced total blood flow in the SFA (∼60%), and not in the CFA or DFA. Thus, although an attenuated PLM response is not an obligatory consequence of an increase in baseline CFA blood flow, an increase in baseline blood flow through the DFA will diminish the PLM response. Therefore, care should be taken to ensure that a genuine baseline leg blood flow is obtained prior to performance of a PLM vascular function assessment.
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the passive leg movement technique for assessing vascular function defining the distribution of blood flow and the impact of occluding the lower leg
Experimental Physiology, 2019Co-Authors: Katherine L Shields, Ryan M Broxterman, Catherine L Jarrett, A V Bisconti, Soung Hun Park, Russell S RichardsonAbstract:NEW FINDINGS What is the central question of this study? What is the distribution of the hyperaemic response to passive leg movement (PLM) in the common (CFA), deep (DFA) and superficial (SFA) femoral arteries? What is the impact of lower leg cuff-induced blood flow occlusion on this response? What is the main finding and its importance? Of the total blood that passed through the CFA, the majority was directed to the DFA and this was unaffected by cuffing. As a small fraction does pass through the SFA to the lower leg, cuffing during PLM should be considered to emphasize the thigh-specific hyperaemia. ABSTRACT It has yet to be quantified how passive leg movement (PLM)-induced hyperaemia, an index of vascular function, is distributed beyond the common femoral artery (CFA), into the deep femoral (DFA) and the superficial femoral (SFA) arteries, which supply blood to the thigh and lower leg, respectively. Furthermore, the impact of cuffing the lower leg, a common practice, especially with drug infusions during PLM, on the hyperaemic response is, also, unknown. Therefore, PLM was performed with and without cuff-induced blood flow (BF) occlusion to the lower leg in 10 healthy subjects, with BF assessed by Doppler ultrasound. In terms of BF distribution during PLM, of the 380 ± 191 ml of blood that passed through the CFA, 69 ± 8% was directed to the DFA, while only 31 ± 8% passed through the SFA. Cuff occlusion of the lower leg significantly attenuated the PLM-induced hyperaemia through the SFA (∼30%), which was reflected by a fall in BF through the CFA (∼20%), but not through the DFA. Additionally, cuff occlusion significantly attenuated the PLM-induced peak change in BF (BFΔpeak ) in the SFA (324 ± 159 to 214 ± 114 ml min-1 ), which was, again, reflected in the CFA (1019 ± 438 to 833 ± 476 ml min-1 ), but not in the DFA. Thus, the PLM-induced hyperaemia predominantly passes through the DFA and this was unaltered by cuffing. However, as a small fraction of the PLM-induced hyperaemia does pass through the SFA to the lower leg, cuffing the lower leg during PLM should be considered to emphasize thigh-specific hyperaemia in the PLM assessment of vascular function.
Herbert W Marsh - One of the best experts on this subject based on the ideXlab platform.
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exploratory structural equation modeling an integration of the best features of exploratory and confirmatory factor analysis
Annual Review of Clinical Psychology, 2014Co-Authors: Herbert W Marsh, Alexandre J S Morin, Phillip David Parker, Gurvinder KaurAbstract:Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors in support of discriminant validity. Part of the problem is undue reliance on overly restrictive CFAs in which each item loads on only one factor. Exploratory SEM (ESEM), an overarching integration of the best aspects of CFA/SEM and traditional EFA, provides confirmatory tests of a priori factor structures, relations between latent factors and multigroup/multioccasion tests of full (mean structure) measurement invariance. It incorporates all combinations of CFA factors, ESEM factors, covariates, grouping/multiple-indicator multiple-cause (MIMIC) variables, latent growth, and complex structures that t...
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exploratory structural equation modeling an integration of the best features of exploratory and confirmatory factor analysis
Annual Review of Clinical Psychology, 2014Co-Authors: Herbert W Marsh, Alexandre J S Morin, Phillip David Parker, Gurvinder KaurAbstract:Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors in support of discriminant validity. Part of the problem is undue reliance on overly restrictive CFAs in which each item loads on only one factor. Exploratory SEM (ESEM), an overarching integration of the best aspects of CFA/SEM and traditional EFA, provides confirmatory tests of a priori factor structures, relations between latent factors and multigroup/multioccasion tests of full (mean structure) measurement invariance. It incorporates all combinations of CFA factors, ESEM factors, covariates, grouping/multiple-indicator multiple-cause (MIMIC) variables, latent growth, and complex structures that typically have required CFA/SEM. ESEM has broad applicability to clinical studies that are not appropriately addressed either by traditional EFA or CFA/SEM.
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A New Look at the Big Five Factor Structure Through Exploratory Structural Equation Modeling
Psychological Assessment, 2010Co-Authors: Herbert W Marsh, Bengt Muthen, Tihomir Asparouhov, Oliver Ludtke, Alexandre J S Morin, Ulrich Trautwein, Benjamin NagengastAbstract:NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis (EFA), overcomes these problems with responses (N = 3,390) to the 60-item NEO-Five-Factor Inventory: (a) ESEM fits the data better and results in substantially more differentiated (less correlated) factors than does CFA; (b) tests of gender invariance with the 13-model ESEM taxonomy of full measurement invariance of factor loadings, factor variances-covariances, item uniquenesses, correlated uniquenesses, item intercepts, differential item functioning, and latent means show that women score higher on all NEO Big Five factors; (c) longitudinal analyses support measurement invariance over time and the maturity principle (decreases in Neuroticism and increases in Agreeableness, Openness, and Conscientiousness). Using ESEM, we addressed substantively important questions with broad applicability to personality research that could not be appropriately addressed with the traditional approaches of either EFA or CFA.