1
|
Dobrushina OR, Dobrynina LA, Arina GA, Pechenkova EV, Kremneva EI, Gubanova MV, Novikova ES, Kazantseva DA, Suslina AD, Krotenkova MV. Age-related changes of interoceptive brain networks: Implications for interoception and alexithymia. Emotion 2024:2024-74065-001. [PMID: 38635193 DOI: 10.1037/emo0001366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Aging is known to be associated with a decline in interoceptive abilities and changes in emotional processing, including alexithymia. As the brain areas supporting interoceptive awareness participate in the perception of emotion, we suggested that interoceptive decline and alexithymia in older adults may share common neural ground. To test this hypothesis, we administered functional magnetic resonance imaging-based heartbeat detection task to 62 adults of diverse ages (range 18-73) and evaluated a larger sample of older and younger adults using questionnaires characterizing interoceptive sensibility, alexithymia, and depressive attitudes. We found that increasing age was linked to decreased activation during the interoceptive task, including the right insular-opercular and supplementary motor areas (SMAs). Age also affected task-based functional connectivity, with two major effects being a decrease in the connectivity of the SMA-insular network and an increase in the connectivity of the prefrontal-lateral occipital network. Path analysis performed for interoceptive accuracy as the endogenous variable revealed that the impact of age was mediated by the functional activation of the insular cortex and SMA and by the connectivity between these areas. Another path analysis using alexithymia as the endogenous variable while controlling for depressive attitudes showed that the effect of age was mediated by interoceptive decline. The study supports the role of central mechanisms in age-related interoceptive decline and shows its implications for alexithymia. Since alexithymia represents a risk factor for mental and cardiovascular diseases, the study findings may open an important direction toward maintaining older adults' well-being. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Collapse
Affiliation(s)
| | | | - Galina A Arina
- Faculty of Psychology, M.V. Lomonosov Moscow State University
| | - Ekaterina V Pechenkova
- Faculty of Social Sciences, School of Psychology, Laboratory for Cognitive Research, HSE University
| | | | | | | | | | | | | |
Collapse
|
2
|
Dobrynina LA, Gadzhieva ZS, Dobrushina OR, Morozova SN, Kremneva EI, Volik AV, Krotenkova MV. [Identifying the neurostimulation target for treatment of cognitive impairment in aging and early cerebral small vessel disease]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:34-41. [PMID: 38529861 DOI: 10.17116/jnevro202412403134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
OBJECTIVE To develop individualized approaches to the use of neuromodulation as a non-pharmacological treatment of cognitive impairment (CI) based on the assessment of compensatory brain reserves in functional MRI (fMRI). MATERIAL AND METHODS Twenty-one adults over 45 years of age, representing a continuum from healthy norm to mild cognitive impairment due to aging and early cerebral small vessel disease, were studied. All participants underwent fMRI while performing two executive tasks - a modified Stroop task and selective counting. To assess the ability to compensate for CI in real life, functional activation and connectivity were analyzed using the BRIEF-MoCA score as a covariate, which is the difference in ratings between the Behavior Rating Inventory of Executive Function (BRIEF) and the Montreal Cognitive Assessment Scale (MoCA). RESULTS Both fMRI tasks were associated with activation of areas of the frontoparietal control network, as well as supplementary motor area (SMA) and the pre-SMA, the lateral premotor cortex, and the cerebellum. An increase in pre- SMA connectivity was observed during the tasks. The BRIEF-MoCA score correlated firstly with connectivity of the left dorsolateral prefrontal cortex (DLPFC) and secondly with involvement of the occipital cortex during the counting task. CONCLUSIONS The developed technique allows identification of the functionally relevant target within the left DLPFC in patients with CI in aging and early cerebral microangiopathy.
Collapse
Affiliation(s)
| | | | | | | | | | - A V Volik
- Research Center of Neurology, Moscow, Russia
| | | |
Collapse
|
3
|
Dobrynina LA, Shabalina AA, Shamtieva KV, Kremneva EI, Zabitova MR, Krotenkova MV, Burmak AG, Gnedovskaya EV. L-Arginine-eNOS-NO Functional System in Brain Damage and Cognitive Impairments in Cerebral Small Vessel Disease. Int J Mol Sci 2023; 24:14537. [PMID: 37833984 PMCID: PMC10572456 DOI: 10.3390/ijms241914537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/23/2023] [Accepted: 09/24/2023] [Indexed: 10/15/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is a significant cause of cognitive impairment (CI), disability, and mortality. The insufficient effectiveness of antihypertensive therapy in curbing the disease justifies the search for potential targets for modifying therapy and indicators supporting its use. Using a laser-assisted optical rotational cell analyzer (LORRCA, Mechatronics, The Netherlands), the rheological properties and deformability of erythrocytes before and after incubation with 10 μmol/L of L-arginine, the nitric oxide (NO) donor, blood-brain barrier (BBB) permeability assessed by dynamic contrast-enhanced MRI, clinical, and MRI signs were studied in 73 patients with CSVD (48 women, mean age 60.1 ± 6.5 years). The control group consisted of 19 volunteers (14 women (73.7%), mean age 56.9 ± 6.4 years). The erythrocyte disaggregation rate (y-dis) after incubation with L-arginine showed better performance than other rheological characteristics in differentiating patients with reduced NO bioavailability/NO deficiency by its threshold values. Patients with y-dis > 113 s-1 had more severe CI, arterial hypertension, white matter lesions, and increased BBB permeability in grey matter and normal-appearing white matter (NAWM). A test to assess changes in the erythrocyte disaggregation rate after incubation with L-arginine can be used to identify patients with impaired NO bioavailability. L-arginine may be part of a therapeutic strategy for CSVD with CI.
Collapse
Affiliation(s)
| | | | | | | | - Maryam R. Zabitova
- Research Center of Neurology, 80 Volokolamskoe Shosse, 125367 Moscow, Russia; (L.A.D.); (A.A.S.); (K.V.S.); (E.I.K.); (M.V.K.); (A.G.B.); (E.V.G.)
| | | | | | | |
Collapse
|
4
|
Dobrynina LA, Kremneva EI, Shamtieva KV, Geints AA, Filatov AS, Trubitsyna VV, Bitsieva ET, Byrochkina AA, Akhmetshina YI, Maksimov II, Krotenkova MV. [Disruption of corpus callosum microstructural integrity by diffusion MRI as a predictor of progression of cerebral microangiopathy]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:95-104. [PMID: 37994894 DOI: 10.17116/jnevro202312311195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
OBJECTIVE To assess the microstructural integrity of the corpus callosum in patients with cerebral small vessel disease (cSVD) using signal and biophysical diffusion MRI models and to identify the most sensitive markers of disease progression. MATERIAL AND METHODS Diffusion MRI (3 Tesla) was performed in 166 patients (51.8% women; mean age 60.4±7.6) with cSVD and cognitive impairment of varying severity and in 44 healthy volunteers (65.9% women; mean age 59.6±6.8), followed by calculation of signal (diffusion tensor and diffusion kurtosis) and biophysical (WMTI, NODDI, MC-SMT) models, from which profiles of three corpus callosum segments were constructed. RESULTS The best results were obtained for metrics in the forceps minor and body of the corpus callosum. Among the metrics of the signal models in the forceps minor, fraction anisotropy (FA) and mean diffusion (MD), which characterize the overall loss of microstructural integrity and increase in extra-axonal water, as well as indirect markers of demyelination when considering transverse diffusion parameters (radial diffusion and radial kurtosis), had the larger area under the curve according to the ROC analysis. Among the metrics of the biophysical models in the forceps minor, a larger area under the curve was found in the MC-SMT model for extra-axonal transverse diffusion (ETR), mean diffusion (EMD), and intra-axonal water fraction (INTRA), and in the WMTI model for intra-axonal water fraction (AWF). ETR had high inverse correlations with INTRA and AWF, while INTRA and AWF had high direct intercorrelations. CONCLUSION Metrics of signaling (FA, MD, RD, RK) and biophysical patterns (ETR, EMD, INTRA, AWF) in the forceps minor and the corpus callosum body can be considered as indicators of cSVD progression. They indicate disease progression, mainly by an increase in extra-axonal water with the development of demyelination and tissue degeneration in the corpus callosum.
Collapse
Affiliation(s)
| | | | | | - A A Geints
- Lomonosov Moscow State University, Moscow, Russia
| | - A S Filatov
- Research Center of Neurology, Moscow, Russia
| | | | | | | | | | - I I Maksimov
- West Norwegian University of Applied Sciences (HVL), Bergen, Norway
| | | |
Collapse
|
5
|
Smorchkova AK, Khoruzhaya AN, Kremneva EI, Petryaikin AV. [Machine learning technologies in CT-based diagnostics and classification of intracranial hemorrhages]. Zh Vopr Neirokhir Im N N Burdenko 2023; 87:85-91. [PMID: 37011333 DOI: 10.17116/neiro20238702185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
This review discusses pooled experience of creation, implementation and effectiveness of machine learning technologies in CT-based diagnosis of intracranial hemorrhages. The authors analyzed 21 original articles between 2015 and 2022 using the following keywords: «intracranial hemorrhage», «machine learning», «deep learning», «artificial intelligence». The review contains general data on basic concepts of machine learning and also considers in more detail such aspects as technical characteristics of data sets used for creation of AI algorithms for certain type of clinical task, their possible impact on effectiveness and clinical experience.
Collapse
Affiliation(s)
- A K Smorchkova
- Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia
| | - A N Khoruzhaya
- Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia
| | - E I Kremneva
- Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia
- Neurology Research Center, Moscow, Russia
| | - A V Petryaikin
- Moscow Research Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow, Russia
| |
Collapse
|
6
|
Dobrynina LA, Shabalina AA, Shamtieva KV, Kremneva EI, Zabitova MR, Burmak AG, Byrochkina AA, Akhmetshina YI, Gnedovskaya EV, Krotenkova MV. [Nitric oxide availability in cerebral microangiopathy]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:47-54. [PMID: 37682095 DOI: 10.17116/jnevro202312308247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To develop a test of individual nitric oxide (NO) availability based on changes in erythrocyte rheological properties after incubation with a NO donor and to evaluate the role of these disorders in brain damage and development of cognitive impairment (CI) in cerebral small vessel disease (cSVD). MATERIAL AND METHODS In 73 cSVD patients (48 (65.8%) women, mean age 60.1±6.5), the rheological properties of erythrocytes before and after incubation with 10 μmol/L L-arginine-NO donor were evaluated using a laser-optical rotating cell analyzer, and the blood-brain barrier (BBB) permeability by MRI-T1 dynamic contrast. RESULTS Among the studied parameters of erythrocyte rheological properties, the best characteristic by ROC analysis was the rate of erythrocyte disaggregation (y-dis) after incubation with L-arginine (area under the curve 0.733 (0.609-0.856), sensitivity 67%, specificity 79%). Patients with a y-dis threshold >113 sec-1 had more severe CI, arterial hypertension, white matter lesions, and increased BBB permeability in gray matter and normal-appearing white matter. CONCLUSION The prolonged rate of erythrocyte disaggregation in cSVD patients after incubation with L-arginine indicates the risk for disease progression due to decreased NO bioavailability/disruption of the functional L-arginine-eNOS-NO system. This test can be used to assess individual NO bioavailability and potentially identify indications for modifying therapy with NO donors such as L-arginine. Clinical trials are needed to standardize and evaluate the efficacy of NO donor therapy in patients with cSVD and CI.
Collapse
Affiliation(s)
| | | | | | | | | | - A G Burmak
- Research Center of Neurology, Moscow, Russia
| | | | | | | | | |
Collapse
|
7
|
Dobrushina OR, Dobrynina LA, Arina GA, Pechenkova EV, Kremneva EI, Trubitsyna VV, Gubanova MV, Belopasova AV, Novikova ES, Tsypushtanova MM, Makarova AG, Vorobeva VP, Kazantseva DA, Aristova VV, Suslina AD, Perepelkina OS, Krotenkova MV. Interoception during aging: Functional neuroimaging data from a heartbeat detection task. Data Brief 2022; 42:108257. [PMID: 35620242 PMCID: PMC9126834 DOI: 10.1016/j.dib.2022.108257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 10/31/2022] Open
Abstract
Interoception is critically important for allostatic adaptation and emotional regulation, and aberrant interoceptive processing is increasingly recognized to be involved in the pathogenesis of neurological, psychiatric and cardiovascular diseases. Despite the fact that interoceptive abilities decline with age, the corresponding neural correlates and clinical consequences of these age-related changes have yet to be discovered. We present a dataset that contains task-based functional neuroimaging data from 50 adults aged 40–65 years and 12 adults aged 18–25 years who performed an fMRI-based heartbeat-detection task. Of the 62, 38 participants also took part in a rubber hand illusion experiment outside the scanner. While the dataset was mainly created to study age-related changes in interoception, it can also be used in body perception research in general. The provided group data may serve as a reference for clinical studies on interoception involving older adults.
Collapse
|
8
|
Dobrushina OR, Dobrynina LA, Arina GA, Kremneva EI, Novikova ES, Gubanova MV, Pechenkova EV, Suslina AD, Aristova VV, Trubitsyna VV, Krotenkova MV. Enhancing Brain Connectivity With Infra-Low Frequency Neurofeedback During Aging: A Pilot Study. Front Hum Neurosci 2022; 16:891547. [PMID: 35712529 PMCID: PMC9195620 DOI: 10.3389/fnhum.2022.891547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Aging is associated with decreased functional connectivity in the main brain networks, which can underlie changes in cognitive and emotional processing. Neurofeedback is a promising non-pharmacological approach for the enhancement of brain connectivity. Previously, we showed that a single session of infra-low frequency neurofeedback results in increased connectivity between sensory processing networks in healthy young adults. In the current pilot study, we aimed to evaluate the possibility of enhancing brain connectivity during aging with the use of infra-low frequency neurofeedback. Nine females aged 52 ± 7 years with subclinical signs of emotional dysregulation, including anxiety, mild depression, and somatoform symptoms, underwent 15 sessions of training. A resting-state functional MRI scan was acquired before and after the training. A hypothesis-free intrinsic connectivity analysis showed increased connectivity in regions in the bilateral temporal fusiform cortex, right supplementary motor area, left amygdala, left temporal pole, and cerebellum. Next, a seed-to-voxel analysis for the revealed regions was performed using the post- vs. pre-neurofeedback contrast. Finally, to explore the whole network of neurofeedback-related connectivity changes, the regions revealed by the intrinsic connectivity and seed-to-voxel analyses were entered into a network-based statistical analysis. An extended network was revealed, including the temporal and occipital fusiform cortex, multiple areas from the visual cortex, the right posterior superior temporal sulcus, the amygdala, the temporal poles, the superior parietal lobule, and the supplementary motor cortex. Clinically, decreases in alexithymia, depression, and anxiety levels were observed. Thus, infra-low frequency neurofeedback appears to be a promising method for enhancing brain connectivity during aging, and subsequent sham-controlled studies utilizing larger samples are feasible.
Collapse
Affiliation(s)
- Olga R. Dobrushina
- Third Neurological Department, Research Center of Neurology, Moscow, Russia
- *Correspondence: Olga R. Dobrushina
| | | | - Galina A. Arina
- Faculty of Psychology, M.V. Lomonosov Moscow State University, Moscow, Russia
| | - Elena I. Kremneva
- Department of Radiology, Research Center of Neurology, Moscow, Russia
| | | | - Mariia V. Gubanova
- Third Neurological Department, Research Center of Neurology, Moscow, Russia
| | | | | | - Vlada V. Aristova
- Third Neurological Department, Research Center of Neurology, Moscow, Russia
- Faculty of Psychology, M.V. Lomonosov Moscow State University, Moscow, Russia
| | | | | |
Collapse
|
9
|
Dobrushina OR, Arina GA, Dobrynina LA, Novikova ES, Gubanova MV, Belopasova AV, Vorobeva VP, Suslina AD, Pechenkova EV, Perepelkina OS, Kremneva EI, Krotenkova MV. Sensory integration in interoception: Interplay between top-down and bottom-up processing. Cortex 2021; 144:185-197. [PMID: 34673435 DOI: 10.1016/j.cortex.2021.08.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/10/2021] [Accepted: 08/31/2021] [Indexed: 01/27/2023]
Abstract
Although the neural systems supporting interoception have been outlined in general, the exact processes underlying the integration of visceral signals still await research. Based on the predictive coding concept, we aimed to reveal the neural networks responsible for the bottom-up (stimulus-dependent) and top-down (model-dependent) processing of interoceptive information. In a study of 30 female participants, we utilized two classical body perception experiments-the rubber hand illusion and a heartbeat detection task (cardioception), with the latter being implemented in fMRI settings. We interpreted a stronger rubber hand illusion, as measured by higher proprioceptive drift, as a tendency to rely on actual sensory experience, i.e., bottom-up processing, while lower proprioceptive drift served as an indicator of the prevalence of top-down, model-based influences. To reveal the bottom-up and top-down processes in cardioception, we performed a seed-based connectivity analysis of the heartbeat detection task, using as seeds the areas with known roles in sensory integration and entering proprioceptive drift as a covariate. The results revealed a left thalamus-dependent network positively associated with proprioceptive drift (bottom-up processing) and a left amygdala-dependent network negatively associated with drift (top-down processing). Bottom-up processing was related to thalamic connectivity with the left frontal operculum and anterior insula, anterior cingulate cortex, hypothalamus, right planum polare and right inferior frontal gyrus. Top-down processing was related to amygdalar connectivity with the rostral prefrontal cortex and an area involving the left frontal opercular and anterior insular cortex, with the latter area being an intersection of the two networks. Thus, we revealed the neural mechanisms underlying the integration of interoceptive information through the interaction between the current sensory experience and internal models.
Collapse
Affiliation(s)
| | - Galina A Arina
- M.V. Lomonosov Moscow State University, Faculty of Psychology, Moscow, Russia
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Dobrynina LA, Gnedovskaya EV, Zabitova MR, Kremneva EI, Shabalina AA, Makarova AG, Tzipushtanova MM, Filatov AS, Kalashnikova LA, Krotenkova MV. [Clustering of diagnostic MRI signs of cerebral microangiopathy and its relationship with markers of inflammation and angiogenesis]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 120:22-31. [PMID: 33449529 DOI: 10.17116/jnevro202012012222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To perform cluster analysis of MRI signs of cerebral microangiopathy (small vessel disease, SVD) and to clarify the relationship between the isolated groups and circulating markers of inflammation and angiogenesis. MATERIAL AND METHODS The identification of groups of MRI signs (MRI types) using cluster hierarchical agglomerative analysis and iterative algorithm of k-means and assessment of their relationship with serum concentrations of tumor necrosis factor-α (TNF-α), transforming growth factor-β1 (TGF-β1), vascular endothelial growth factor-A (VEGF-A), hypoxia-inducible factor 1-α (HIF1-α) determined by ELISA were performed in 96 patients with SVD (STRIVE, 2013) (65 women, average age 60.91±6.57 years). RESULTS Cluster analysis of MRI signs identified two MRI types of SVD with Fazekas grade 3 of white matter hyperintensity (WMH). MRI type 1 (n=18; 6 women, mean age 59.1±6.8 years) and MRI type 2 (n=22, 15 f., mean age 63.5±6.2 years) did not differ by age, sex, severity of hypertension, presence of other risk factors. MRI type 1 had a statistically significantly more pronounced WMH in the periventricular regions, multiple lacunes and microbleeds, atrophy, severe cognitive impairment and gait disorders compared with MRI type 2. Its formation was associated with a decrease in VEGF-A level. MRI type 2 had the significantly more pronounced juxtacortical WMH, white matter lacunes, in the absence of microbleeds and atrophy, and less severe clinical manifestations compared with MRI type 1. Its formation was associated with an increase in TNF-α level. CONCLUSION Clustering of diagnostic MRI signs into MRI types of SVD with significant differences in the severity of clinical manifestations suggests the pathogenetic heterogeneity of age-related SVD. The relationship of MRI types with circulating markers of different mechanisms of vascular wall and brain damage indicates the dominant role of depletion of angiogenesis in the formation of MRI type 1 and increased inflammation in the formation of MRI type 2. Further studies are needed to clarify the criteria and diagnostic value of differentiation of MRI types of SVD, and also their mechanisms with the definition of pathogenetically justified prevention and treatment of various forms of SVD.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - A S Filatov
- Research Center of Neurology, Moscow, Russia
| | | | | |
Collapse
|
11
|
Sinitsyn DO, Poydasheva AG, Bakulin IS, Legostaeva LA, Iazeva EG, Sergeev DV, Sergeeva AN, Kremneva EI, Morozova SN, Lagoda DY, Casarotto S, Comanducci A, Ryabinkina YV, Suponeva NA, Piradov MA. Detecting the Potential for Consciousness in Unresponsive Patients Using the Perturbational Complexity Index. Brain Sci 2020; 10:E917. [PMID: 33260944 PMCID: PMC7760168 DOI: 10.3390/brainsci10120917] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/24/2020] [Accepted: 11/24/2020] [Indexed: 12/26/2022] Open
Abstract
The difficulties of behavioral evaluation of prolonged disorders of consciousness (DOC) motivate the development of brain-based diagnostic approaches. The perturbational complexity index (PCI), which measures the complexity of electroencephalographic (EEG) responses to transcranial magnetic stimulation (TMS), showed a remarkable sensitivity in detecting minimal signs of consciousness in previous studies. Here, we tested the reliability of PCI in an independently collected sample of 24 severely brain-injured patients, including 11 unresponsive wakefulness syndrome (UWS), 12 minimally conscious state (MCS) patients, and 1 emergence from MCS patient. We found that the individual maximum PCI value across stimulation sites fell within the consciousness range (i.e., was higher than PCI*, which is an empirical cutoff previously validated on a benchmark population) in 11 MCS patients, yielding a sensitivity of 92% that surpassed qualitative evaluation of resting EEG. Most UWS patients (n = 7, 64%) showed a slow and stereotypical TMS-EEG response, associated with low-complexity PCI values (i.e., ≤PCI*). Four UWS patients (36%) provided high-complexity PCI values, which might suggest a covert capacity for consciousness. In conclusion, this study successfully replicated the performance of PCI in discriminating between UWS and MCS patients, further motivating the application of TMS-EEG in the workflow of DOC evaluation.
Collapse
Affiliation(s)
- Dmitry O. Sinitsyn
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Alexandra G. Poydasheva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Ilya S. Bakulin
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Liudmila A. Legostaeva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Elizaveta G. Iazeva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Dmitry V. Sergeev
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Anastasia N. Sergeeva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Elena I. Kremneva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Sofya N. Morozova
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Dmitry Yu. Lagoda
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Silvia Casarotto
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20157 Milan, Italy;
| | | | - Yulia V. Ryabinkina
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Natalia A. Suponeva
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| | - Michael A. Piradov
- Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia; (A.G.P.); (I.S.B.); (L.A.L.); (E.G.I.); (D.V.S.); (A.N.S.); (E.I.K.); (S.N.M.); (D.Y.L.); (Y.V.R.); (N.A.S.); (M.A.P.)
| |
Collapse
|
12
|
Sinitsyn DO, Bakulin IS, Poydasheva AG, Legostaeva LA, Kremneva EI, Lagoda DY, Chernyavskiy AY, Medyntsev AA, Suponeva NA, Piradov MA. Brain Activations and Functional Connectivity Patterns Associated with Insight-Based and Analytical Anagram Solving. Behav Sci (Basel) 2020; 10:E170. [PMID: 33171616 PMCID: PMC7695184 DOI: 10.3390/bs10110170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/01/2020] [Accepted: 11/04/2020] [Indexed: 11/16/2022] Open
Abstract
Insight is one of the most mysterious problem-solving phenomena involving the sudden emergence of a solution, often preceded by long unproductive attempts to find it. This seemingly unexplainable generation of the answer, together with the role attributed to insight in the advancement of science, technology and culture, stimulate active research interest in discovering its neuronal underpinnings. The present study employs functional Magnetic resonance imaging (fMRI) to probe and compare the brain activations occurring in the course of solving anagrams by insight or analytically, as judged by the subjects. A number of regions were activated in both strategies, including the left premotor cortex, left claustrum, and bilateral clusters in the precuneus and middle temporal gyrus. The activated areas span the majority of the clusters reported in a recent meta-analysis of insight-related fMRI studies. At the same time, the activation patterns were very similar between the insight and analytical solutions, with the only difference in the right sensorimotor region probably explainable by subject motion related to the study design. Additionally, we applied resting-state fMRI to study functional connectivity patterns correlated with the individual frequency of insight anagram solutions. Significant correlations were found for the seed-based connectivity of areas in the left premotor cortex, left claustrum, and left frontal eye field. The results stress the need for optimizing insight paradigms with respect to the accuracy and reliability of the subjective insight/analytical solution classification. Furthermore, the short-lived nature of the insight phenomenon makes it difficult to capture the associated neural events with the current experimental techniques and motivates complementing such studies by the investigation of the structural and functional brain features related to the individual differences in the frequency of insight-based decisions.
Collapse
Affiliation(s)
- Dmitry O. Sinitsyn
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Ilya S. Bakulin
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Alexandra G. Poydasheva
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Liudmila A. Legostaeva
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Elena I. Kremneva
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Dmitry Yu. Lagoda
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Andrey Yu. Chernyavskiy
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
- Valiev Institute of Physics and Technology, Russian Academy of Sciences, 117218 Moscow, Russia
| | - Alexey A. Medyntsev
- Institute of Psychology, Russian Academy of Sciences, 129366 Moscow, Russia;
| | - Natalia A. Suponeva
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| | - Michael A. Piradov
- Research Center of Neurology, 125367 Moscow, Russia; (D.O.S.); (I.S.B.); (L.A.L.); (E.I.K.); (D.Y.L.); (A.Y.C.); (N.A.S.); (M.A.P.)
| |
Collapse
|
13
|
Dobrynina LA, Gadzhieva ZS, Shamtieva KV, Kremneva EI, Akhmetzyanov BM, Kalashnikova LA, Krotenkova MV. Microstructural Predictors of Cognitive Impairment in Cerebral Small Vessel Disease and the Conditions of Their Formation. Diagnostics (Basel) 2020; 10:diagnostics10090720. [PMID: 32961692 PMCID: PMC7554972 DOI: 10.3390/diagnostics10090720] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/08/2020] [Accepted: 09/17/2020] [Indexed: 01/10/2023] Open
Abstract
Introduction: Cerebral small vessel disease (CSVD) is the leading cause of vascular and mixed degenerative cognitive impairment (CI). The variability in the rate of progression of CSVD justifies the search for sensitive predictors of CI. Materials: A total of 74 patients (48 women, average age 60.6 ± 6.9 years) with CSVD and CI of varying severity were examined using 3T MRI. The results of diffusion tensor imaging with a region of interest (ROI) analysis were used to construct a predictive model of CI using binary logistic regression, while phase-contrast magnetic resonance imaging and voxel-based morphometry were used to clarify the conditions for the formation of CI predictors. Results: According to the constructed model, the predictors of CI are axial diffusivity (AD) of the posterior frontal periventricular normal-appearing white matter (pvNAWM), right middle cingulum bundle (CB), and mid-posterior corpus callosum (CC). These predictors showed a significant correlation with the volume of white matter hyperintensity; arterial and venous blood flow, pulsatility index, and aqueduct cerebrospinal fluid (CSF) flow; and surface area of the aqueduct, volume of the lateral ventricles and CSF, and gray matter volume. Conclusion: Disturbances in the AD of pvNAWM, CB, and CC, associated with axonal damage, are a predominant factor in the development of CI in CSVD. The relationship between AD predictors and both blood flow and CSF flow indicates a disturbance in their relationship, while their location near the floor of the lateral ventricle and their link with indicators of internal atrophy, CSF volume, and aqueduct CSF flow suggest the importance of transependymal CSF transudation when these regions are damaged.
Collapse
|
14
|
Dobrynina LA, Zabitova MR, Shabalina AA, Kremneva EI, Akhmetzyanov BM, Gadzhieva ZS, Berdalin AB, Kalashnikova LA, Gnedovskaya EV, Krotenkova MV. MRI Types of Cerebral Small Vessel Disease and Circulating Markers of Vascular Wall Damage. Diagnostics (Basel) 2020; 10:E354. [PMID: 32485815 PMCID: PMC7345277 DOI: 10.3390/diagnostics10060354] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 05/26/2020] [Accepted: 05/27/2020] [Indexed: 01/08/2023] Open
Abstract
The evaluation of the clustering of magnetic resonance imaging (MRI) signs into MRI types and their relationship with circulating markers of vascular wall damage were performed in 96 patients with cerebral small vessel disease (cSVD) (31 men and 65 women; mean age, 60.91 ± 6.57 years). The serum concentrations of the tumor necrosis factor-α (TNF-α), transforming growth factor-β1 (TGF-β1), vascular endothelial growth factor-A (VEGF-A), and hypoxia-inducible factor 1-α (HIF-1α) were investigated in 70 patients with Fazekas stages 2 and 3 of white matter hyperintensities (WMH) and 21 age- and sex-matched volunteers with normal brain MRI using ELISA. The cluster analysis excluded two patients from the further analysis due to restrictions in their scanning protocol. MRI signs of 94 patients were distributed into two clusters. In the first group there were 18 patients with Fazekas 3 stage WMH. The second group consisted of 76 patients with WMH of different stages. The uneven distribution of patients between clusters limited the subsequent steps of statistical analysis; therefore, a cluster comparison was performed in patients with Fazekas stage 3 WMH, designated as MRI type 1 and type 2 of Fazekas 3 stage. There were no differences in age, sex, degree of hypertension, or other risk factors. MRI type 1 had significantly more widespread WMH, lacunes in many areas, microbleeds, atrophy, severe cognitive and gait impairments, and was associated with downregulation of VEGF-A compared with MRI type 2. MRI type 2 had more severe deep WMH, lacunes in the white matter, no microbleeds or atrophy, and less severe clinical manifestations and was associated with upregulation of TNF-α compared with MRI type 1. The established differences reflect the pathogenetic heterogeneity of cSVD and explain the variations in the clinical manifestations observed in Fazekas stage 3 of this disease.
Collapse
Affiliation(s)
- Larisa A. Dobrynina
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Maryam R. Zabitova
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Alla A. Shabalina
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Elena I. Kremneva
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | | | - Zukhra Sh. Gadzhieva
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Alexander B. Berdalin
- Federal State Budgetary Institution “Federal Center for Cerebrovascular Pathology and Stroke”, 1, stroenie 10, Ostrovityanova, 117342 Moscow, Russia;
| | - Ludmila A. Kalashnikova
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Elena V. Gnedovskaya
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| | - Marina V. Krotenkova
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia; (M.R.Z.); (A.A.S.); (E.I.K.); (Z.S.G.); (L.A.K.); (E.V.G.); (M.V.K.)
| |
Collapse
|
15
|
Dobrushina OR, Arina GA, Dobrynina LA, Suslina AD, Solodchik PO, Belopasova AV, Gubanova MV, Sergeeva AN, Kremneva EI, Krotenkova MV. The ability to understand emotions is associated with interoception‐related insular activation and white matter integrity during aging. Psychophysiology 2020; 57:e13537. [DOI: 10.1111/psyp.13537] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 12/17/2019] [Accepted: 01/11/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Olga R. Dobrushina
- Third Neurological Department Research Center of Neurology Moscow Russia
| | - Galina A. Arina
- Faculty of Psychology M.V. Lomonosov Moscow State University Moscow Russia
| | | | | | | | | | - Mariia V. Gubanova
- Third Neurological Department Research Center of Neurology Moscow Russia
| | | | | | | |
Collapse
|
16
|
Kremneva EI, Legostaeva LA, Morozova SN, Sergeev DV, Sinitsyn DO, Iazeva EG, Suslin AS, Suponeva NA, Krotenkova MV, Piradov MA, Maximov II. Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness. Brain Sci 2019; 9:brainsci9050123. [PMID: 31137909 PMCID: PMC6562474 DOI: 10.3390/brainsci9050123] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 05/23/2019] [Accepted: 05/23/2019] [Indexed: 01/06/2023] Open
Abstract
Diagnostic accuracy of different chronic disorders of consciousness (DOC) can be affected by the false negative errors in up to 40% cases. In the present study, we aimed to investigate the feasibility of a non-Gaussian diffusion approach in chronic DOC and to estimate a sensitivity of diffusion kurtosis imaging (DKI) metrics for the differentiation of vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) from a healthy brain state. We acquired diffusion MRI data from 18 patients in chronic DOC (11 VS/UWS, 7 MCS) and 14 healthy controls. A quantitative comparison of the diffusion metrics for grey (GM) and white (WM) matter between the controls and patient group showed a significant (p < 0.05) difference in supratentorial WM and GM for all evaluated diffusion metrics, as well as for brainstem, corpus callosum, and thalamus. An intra-subject VS/UWS and MCS group comparison showed only kurtosis metrics and fractional anisotropy differences using tract-based spatial statistics, owing mainly to macrostructural differences on most severely lesioned hemispheres. As a result, we demonstrated an ability of DKI metrics to localise and detect changes in both WM and GM and showed their capability in order to distinguish patients with a different level of consciousness.
Collapse
Affiliation(s)
- Elena I Kremneva
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | | | - Sofya N Morozova
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Dmitry V Sergeev
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Dmitry O Sinitsyn
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Elizaveta G Iazeva
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Aleksandr S Suslin
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Natalia A Suponeva
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Marina V Krotenkova
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Michael A Piradov
- Research Center of Neurology, 80 Volokolamskoe shosse, 125367 Moscow, Russia.
| | - Ivan I Maximov
- Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.
- Norwegian Centre for Mental Disorders Research (NORMENT), Norway and Institute of Clinical Medicine, University of Oslo, Oslo Universitetssykehus Bygg 48 Ullevål, 0317 Oslo, Norway.
| |
Collapse
|
17
|
Dobrynina LA, Gadzhieva ZS, Morozova SN, Kremneva EI, Krotenkova MV, Kashina EM, Poddubskaya AA. [Executive functions: fMRI of healthy volunteers during Stroop test and the serial count test]. Zh Nevrol Psikhiatr Im S S Korsakova 2018; 118:64-71. [PMID: 30585607 DOI: 10.17116/jnevro201811811164] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
AIM To assess executive function in healthy adults using fMRI. MATERIAL AND METHODS An analysis of fMRI activation and functional connectivity during a serial count task (as a shifting function test) and color-word Stroop test (classical inhibition function test) was made for 12 healthy adults. RESULTS AND CONCLUSION The executive control network and salience network activation was comparable in both tasks. Nevertheless, there were differences between two tests in functional connectivity of the dorsolateral prefrontal cortex (DLPFC) and the supplementary motor area (SMA) with other brain regions, that can be explained by the differences in the regulatory mechanisms of task performance. Stroop test assumes its automatic performance, and control of program realization is performed mainly by executive-control network. The connectivity between the two DLPFCs with the lower parietal lobules and with each other and inhibition by SMA connectivity with only the right hemisphere regions support this notion. Serial count task excludes the process of monotonous learning, that was confirmed by widespread SMA connections in the absence of connectivity of the DLPFC with executive control network regions. This connectivity pattern allows assuming the leading role of SMA in certain brain regions choice and switching their activity for providing attention and executive control of cognitive operations shift during task performance. These findings allow us to consider the serial count task as the relevant fMRI test for executive functions with the special focus on set shifting, also in patients with executive function deficits. Furthermore, SMA region mapping with the serial count test paradigm could be considered as a potential target for navigated transcranial magnetic stimulation (nTMS) in these patients.
Collapse
Affiliation(s)
| | | | | | | | | | - E M Kashina
- Research Center of Neurology, Moscow, Russia
| | - A A Poddubskaya
- Research Center of Neurology, Moscow, Russia; Treatment and Rehabilitation Center, Moscow, Russia
| |
Collapse
|
18
|
Sinitsyn DO, Legostaeva LA, Kremneva EI, Morozova SN, Poydasheva AG, Mochalova EG, Chervyakova OG, Ryabinkina JV, Suponeva NA, Piradov MA. Degrees of functional connectome abnormality in disorders of consciousness. Hum Brain Mapp 2018; 39:2929-2940. [PMID: 29575425 DOI: 10.1002/hbm.24050] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 03/06/2018] [Accepted: 03/08/2018] [Indexed: 12/26/2022] Open
Abstract
Understanding the neuronal basis of disorders of consciousness can help improve the accuracy of their diagnosis, indicate potential targets for therapeutic interventions, and provide insights into the organization of normal conscious information processing. Measurements of brain activity have been used to find associations of the levels of consciousness with brain complexity, topological features of functional connectomes, and disruption of resting-state networks. However, obtainment of a detailed picture of activity patterns underlying the vegetative state/unresponsive wakefulness syndrome and the minimally conscious state remains a work in progress. We here aimed at finding the aspects of fMRI-based functional connectivity that differentiate these states from each other and from the normal condition. A group of 22 patients was studied (9 minimally conscious state and 13 vegetative state/unresponsive wakefulness syndrome). Patients were shown to have reduced connectivity in most resting-state networks and disrupted patterns of relative connection strengths as compared to healthy subjects. Differences between the unresponsive wakefulness syndrome and the minimally conscious state were found in the patterns formed by a relatively small number of strongest positive correlations selected by thresholding. These differences were captured by measures of functional connectivity disruption that integrate area-specific abnormalities over the whole brain. The results suggest that the strong positive correlations between the functional activities of specific brain areas observed in healthy individuals may be critical for consciousness and be an important target of disruption in disorders of consciousness.
Collapse
Affiliation(s)
- Dmitry O Sinitsyn
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| | | | - Elena I Kremneva
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| | - Sofya N Morozova
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| | | | | | | | - Julia V Ryabinkina
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| | - Natalia A Suponeva
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| | - Michael A Piradov
- Research Center of Neurology, 80 Volokolamskoe shosse, Moscow, 125367, Russia
| |
Collapse
|
19
|
Dobrynina LA, Kalashnikova LA, Bakulin IS, Kremneva EI, Krotenkova MV, Shamtieva KV. [Posterior reversible encephalopathy syndrome due to hypocalcemia: a description of a case and an analysis of a pathogenic role of electrolyte disturbances]. Zh Nevrol Psikhiatr Im S S Korsakova 2016; 116:70-77. [PMID: 27500881 DOI: 10.17116/jnevro20161167170-77] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Afemale patient with recurrent posterior reversible encephalopathy syndrome, severe hypocalcemia due to extirpation of the parathyroid glands is described. The disease was characterized by the acute development of headache, seizures, cognitive and behavioral disorders, mental confusion, transitory blood pressure increasing. The vasogenic edema in the posterior parts of the brain, detected by CT at the first exacerbation,was completely regressed. The residual neurological deficit and MRI changes remained after the recurrent exacerbations. Main clinical features of PRESare explained by hypocalcemia and accompanying electrolyte disturbances.The reported case shows the necessity to study blood electrolytes in patients with PRES to clarify their pathogenic role and the necessity of drug correction.
Collapse
|
20
|
Morozova SN, Bryukhov VV, Trifonova OV, Kremneva EI, Krotenkova MV. [A DTI study of the spinal cord lesion in patients with multiple sclerosis during the follow-up after relapse]. Zh Nevrol Psikhiatr Im S S Korsakova 2016; 116:21-26. [PMID: 27070357 DOI: 10.17116/jnevro20161162221-26] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
UNLABELLED Spinal cord involvement is frequent in multiple sclerosis (MS) but the correlation between spinal cord damage on conventional MRI and clinical symptoms is not always obvious. Diffusion tensor imaging (DTI) is a sensitive technique for revealing tissue damage. OBJECTIVE to investigate spinal cord DTI changes in MS patients during the relapse and in the follow-up. MATERIAL AND METHODS Data were acquired from 25 patients with relapsing-remitting MS during the relapse characterized by unilateral light hand palsy, in three and twelve months after it. All patients underwent full neurological examination and MRI including conventional head and neck MRI and DTI of the brain and upper spinal cord in the sagittal plane. Twelve healthy subjects entered the control group. RESULTS AND CONCLUSION Spinal cord sagittal DTI provides a reliable information about significant changes in MS patients compared tothe control group both inside demyelinating lesions and in the normal appearing spinal cord. These differences are preserved both in 3 and 12 months after the relapse and together with clinical recovery create evidence of functional compensatory mechanisms development. A tendency towards DTI parameters normalization together with faster fine motor skills recovery in patients without the asymmetrical decrease in vibration sense shows an important role that afferentation plays in recovery after the relapse.
Collapse
|
21
|
Kremneva EI, Saenko IV, Chernikova LA, Cherviakov AV, Konovalov RN, Kozlovskaia IB. [Specifics of activation of cortex by stimulation of support receptors in healthy subjects and in patients with lesions of CNS]. Fiziol Cheloveka 2013; 39:86-92. [PMID: 25509875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Results of basic studies in space medicine revealed the mechanism of motor disorders and the importance of support input in regulation of the tone and posture system of the mammals. Progress in functional magnetic resonance tomography (fMRT) enabled in vivo estimation of activity of various parts of the brain during stimulation of support afferent pathways. The goal of our study was to detect specific activation of the cortex during stimulation of support input in healthy subjects and in patients with lesions of CNS. The study included 19 healthy volunteers (mean age of 38 ± 15, 13 years) and 23 patients with cortical-subcortical ischemic stroke (mean age 53 ± 9.07); all subjects underwent fMRT. During scanning of each subject, support areas of the foot soles were stimulated to imitate slow walking using the block design. In healthy volunteers, primary somatosensory cortex, premotor and dorsolateral cortex, and insula were significantly activated (corrected <0.05 at cluster level). In patients with stroke, pattern of activation of the supraspinal systems of locomotion control clearly depended on the stage of the disease. In patients with cortical-subcortical stroke undergoing motility rehabilitation, the sensomotor locomotion module was predominantly activated as the contralateral pattern.
Collapse
|
22
|
Chernikova LA, Kremneva EI, Cherviakov AV, Saenko IV, Konovalov RN, Piramidov MA, Kozlovskaia IB. [New approaches in the study of neuroplasticity process in patients with central nervous system lesion]. ACTA ACUST UNITED AC 2013; 39:54-60. [PMID: 23885553 DOI: 10.7868/s0131164613030053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Methods which on one hand can ensure the patient's mobility and on other hand activate afferents inputs are the main in rehabilitation treatment. Recent studies has shown that plasticity is structural base of recovery after central nervous system injury. Reorganization of cortical areas and increase of preserved structures functional effectiveness (intensification afferent input) are an anatomical basis of plasticity. However, sensory correction methods, without accounting of functional condition of patients, can lead to the formation of pathological symptoms: spasticity, hyperreflexia, etc. So the main aim is to study adequate management of the neuroplasticity process. This problem cannot be solving without modern methods of neuroimaging and brain mapping. The new approach for study cortical mechanisms of neuroplasticity, responsible for locomotion, was developed in the present study. This approach is complex use of functional magnetic resonance imaging (fMRI) and navigation transcranial magnetic stimulation (nTMS). It was showed that vast fMRI activation area in the first and the second sensorimotor area emerges with passive sensorimotor paradigm using that imitate backing load during walking. The mechanical stimulator footsteps backing zones "Corvit" uses for create this paradigm, nTMS examination, which used after fMRI, help localize the motor representation of muscles which control locomotion more accurately. We guess that new approach can be used for neuroplasticity process study and assessment of neuroplasticity changes during rehabilitation for restore and correct the walking.
Collapse
|
23
|
Kremneva EI, Chernikova LA, Konovalov RN, Krotenkova MV, Saenko IV, Kozlovskaia IB. [Activation of the sensorimotor cortex with the use of a device for the mechanical stimulation of the plantar support zones]. Fiziol Cheloveka 2012; 38:61-68. [PMID: 22567837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Studies of the control movements mechanisms have been performed in the interest of space medicine were the basis for the development of the concept about the leading role of the support afferent input in the regulation of postural-tonic system of mammals. Introduction of functional magnetic resonance imaging (fMRI) made it possible to investigate in-vivo brain mapping during stimulation of support afferent input. The aim of our study was to investigate brain activation due to mechanical support stimulation of the soles with the special device "Korvit". 12 healthy participants (6 women, 6 men; average age = 28.8 years) were scanned. fMRI protocol for each person consisted of 2 different blocked paradigms: soles stimulation in stance imitation (1) and slow walking imitation (2) modes. The results were analyzed with statistical program SPM5 for each person and then for the whole group. In all our paradigms there was significant (P(correct) < 0.05 for cluster level) activation of primary somatosensory, premotor and dorsolateral cortex, insula. During the stance imitation mode, extensive prefrontal cortex activation was observed; during the slow walking imitation mode there was activation of different primary and secondary sensorimotor cortex areas.
Collapse
|
24
|
Dobrynina LA, Kalashnikova LA, Kremneva EI, Pavlova LN. [Internal carotid artery dissection: localization of cerebral infarcts and mechanism of their development]. Zh Nevrol Psikhiatr Im S S Korsakova 2011; 111:10-16. [PMID: 22792742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
To clarify the mechanism of the development of cerebral infarcts in the internal carotid artery (ICA) dissection, the data of neuroimaging (localization of infarcts) and angiography have been analyzed in 49 patients (19 females 30 males, mean age 35,6 +/- 11,3 years). Four variants of infarct localization have been distinguished: 1 - the whole ICA territory (middle and anterior cerebral arteries - MCA, ACA) - 10%, 2 - the territory of superficial and deep branches of MCA- 37%, 3- the territory of superficial MCA branches and cortical-medullar arteries - 31% (the cortex and underlying white matter - 19%, the periventricular white matter and semiovale center - 6%, combined localization - 6%); 4 - the territory of deep (perforating) MCA branches (the basal ganglia and adjacent white matter) - 22%. In most of patients (92%) the dissection resulted in the occlusion or severe stenosis of intracranial ICA which in a half of cases extended to MCA and/or ACA. In 72% patients dissection involved the extracranial ICA. The marked obstructive process in the dissected ICA allows to assume that the hemodynamic, but not embolic, mechanism plays a key role in the development of infarcts. This is in line with the frequent infarct localization in the end or border zones (superficial and deep) of brain blood supply (31%) and the development of stroke during a sleep (49%). Arterio-arterial embolism as a mechanism of ischemic stroke development was found in 8% of patients with the isolated extracranial ICA dissection. It caused stenosis of the lumenand in 6% accompanied by the pseudoaneurism formation. Thrombi formed inside the aneurism could be the origin of the embolism.
Collapse
|