H2020Индивидуална стипендия2016–2019

MIDOC · Multimodal Imaging of Disorders of Consciousness

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-11-01 → 2019-02-28
Финансиране от ЕС: 185 076 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Невровизуални данни от ЯМР и ЕЕГ се използват за обучение на алгоритми, които да разпознават остатъчно съзнание при пациенти след тежки мозъчни травми. Това е важно, защото стандартните клинични прегледи често водят до грешни диагнози, а новите инструменти ще помогнат на невролозите за по-точна идентификация.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Multimodal Imaging of Disorders of Consciousness

Advances in critical care have dramatically improved the likelihood of survival after severe head injury. However, a disorder of consciousness can follow survival after a period of coma. A patient suffering from a disorder of consciousness is seemingly vigilant; he or she can open the eyes, move sporadically and vocalize. However, deeper neurological examination may reveal that the patient is unable to establish functional communication indicating capacity for conscious awareness. Disorders of consciousness are graded along a continuum of severity, with certain cases (those labeled as minimally conscious patients) presenting relatively higher likelihood of recovery. Since clinical neurological examination relies on behavior, the rate of misdiagnosis is very high (reaching up to 40% in certain cases).It is an imperative to devise better understanding of the neurophysiological processes supporting healthy conscious wakefulness to develop new tools that assist neurologists and other health case professionals in the identification of consciousness in brain injured patients. The objective of the present action is to leverage a large collaborative set of neuroimaging data acquired from multiple recording modalities (functional resonance magnetic imaging, electroencephalography) to train machine learning classifiers that will, based on complementary neuroimaging data, output the likelihood of finding residual consciousness in each individual patient. The research stemming from this action will deliver proof-of-concept algorithms applied to state-of-the-art neuroimaging data acquired at several world-renowned institutions aiming to serve, eventually, as powerful tools to assist neurologists with the difficult task of diagnosing patients with disorders of consciousness. Furthermore, the extraction of features from the neuroimaging data that are relevant to detect consciousness will improve our knowledge on the neuroscience of this fundamental but highly elusive phenomenon.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The diagnosis of individuals with disorders of consciousness has fundamental implications in terms of prognosis, treatment, palliative care and even proper end-of-life decisions. Diagnosis based on behavioural assessment is difficult and it is believed that misdiagnosis occurs in a large percentage of cases (> 40%). Non-invasive functional brain imaging has recently emerged as a promising tool for the diagnosis of individuals with disorders of consciousness; however, different imaging methods allow descriptions at limited spatial and temporal resolutions, and it is unknown how these findings relate to each other, to the underlying brain anatomy, and whether they are manifestations of a single fundamental mechanism underlying the impairment of conscious awareness. The proposed research project aims to investigate individuals with disorders of consciousness by simultaneously applying these different neuroimaging techniques, thus integrating neurophysiological data across description levels and evaluating their synergy for the objective diagnosis and prognosis of patients. We address the hypotheses that alterations in brain rhythms (measured with electroencephalography) typical of individuals with disorders of consciousness (such as the emergence of low-complexity and low-frequency neural oscillations) are related to diminished fronto-parietal activity and a breakdown of thalamo-cortical functional and anatomical connectivity (functional magnetic resonance imaging; diffusion tensor imaging) and that these signatures of consciousness correlate with the severity of the disorder and the degree of conscious awareness of the patients. In addition, we are proposing a career development plan for the applicant that includes training on scientific and transferable skills. This plan will both widen his scientific competences and provide him with the tools and experience necessary to secure a position as a leading independent researcher by establishing his own group.

Оригинален текст от CORDIS (на английски).

Участници

INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE · ParisКоординаторФранция