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Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment
Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and aud...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946756/ https://www.ncbi.nlm.nih.gov/pubmed/35326311 http://dx.doi.org/10.3390/brainsci12030355 |
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author | Medina, Jean Paul Nigri, Anna Stanziano, Mario D’Incerti, Ludovico Sattin, Davide Ferraro, Stefania Rossi Sebastiano, Davide Pinardi, Chiara Marotta, Giorgio Leonardi, Matilde Bruzzone, Maria Grazia Rosazza, Cristina |
author_facet | Medina, Jean Paul Nigri, Anna Stanziano, Mario D’Incerti, Ludovico Sattin, Davide Ferraro, Stefania Rossi Sebastiano, Davide Pinardi, Chiara Marotta, Giorgio Leonardi, Matilde Bruzzone, Maria Grazia Rosazza, Cristina |
author_sort | Medina, Jean Paul |
collection | PubMed |
description | Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments in DoC. |
format | Online Article Text |
id | pubmed-8946756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89467562022-03-25 Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment Medina, Jean Paul Nigri, Anna Stanziano, Mario D’Incerti, Ludovico Sattin, Davide Ferraro, Stefania Rossi Sebastiano, Davide Pinardi, Chiara Marotta, Giorgio Leonardi, Matilde Bruzzone, Maria Grazia Rosazza, Cristina Brain Sci Article Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments in DoC. MDPI 2022-03-07 /pmc/articles/PMC8946756/ /pubmed/35326311 http://dx.doi.org/10.3390/brainsci12030355 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Medina, Jean Paul Nigri, Anna Stanziano, Mario D’Incerti, Ludovico Sattin, Davide Ferraro, Stefania Rossi Sebastiano, Davide Pinardi, Chiara Marotta, Giorgio Leonardi, Matilde Bruzzone, Maria Grazia Rosazza, Cristina Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title | Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title_full | Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title_fullStr | Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title_full_unstemmed | Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title_short | Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment |
title_sort | resting-state fmri in chronic patients with disorders of consciousness: the role of lower-order networks for clinical assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946756/ https://www.ncbi.nlm.nih.gov/pubmed/35326311 http://dx.doi.org/10.3390/brainsci12030355 |
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