Literature DB >> 26559732

The Default Mode Network Connectivity Predicts Cognitive Recovery in Severe Acquired Brain Injured Patients: A Longitudinal Study.

Chiara Falletta Caravasso1, Francesco de Pasquale1,2, Paola Ciurli3, Sheila Catani3, Rita Formisano3, Umberto Sabatini1.   

Abstract

To study the functional connectivity in patients with severe acquired brain injury is very challenging for their high level of disability because of a prolonged period of coma, extended lesions, and several cognitive and behavioral disorders. In this article, we investigated in these patients the default mode network and somatomotor connectivity changes at rest longitudinally, in the subacute and late phase after brain injury. The aim of the study is to characterize such connectivity patterns and relate the observed changes to clinical and neuropsychological outcomes of these patients after a period of intensive neurorehabilitation. Our findings show within the default mode network a disruption of connectivity of medial pre-frontal regions and a significant change of amplitude of internal connections. Notably, strongest changes in functional connectivity significantly correlated to consistent clinical and cognitive recovery. This evidence seems to indicate that the reorganization of the Default Mode Network may represent a valid biomarker for the cognitive recovery in patients with severe acquired brain injury.

Entities:  

Keywords:  cognitive recovery; functional connectivity; magnetic resonance imaging; neurorehabilitation; severe acquired brain injury

Mesh:

Substances:

Year:  2016        PMID: 26559732     DOI: 10.1089/neu.2015.4003

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  8 in total

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Authors:  Francesco De Pasquale; Chiara Falletta Caravasso; Patrice Péran; Sheila Catani; Noora Tuovinen; Umberto Sabatini; Rita Formisano
Journal:  Funct Neurol       Date:  2015 Jul-Sep

2.  Longitudinal recovery of local neuronal activity and consciousness level in acquired brain injury.

Authors:  Qihong Zou; Xuehai Wu; Jin Hu; Weijun Tang; Ying Mao; Jianhong Zhu; Lu Lu; Yao Zhang; Jia-Hong Gao
Journal:  Hum Brain Mapp       Date:  2017-04-19       Impact factor: 5.038

3.  Resting-state fMRI in disorders of consciousness to facilitate early therapeutic intervention.

Authors:  Varina L Boerwinkle; Salvatore J Torrisi; Stephen T Foldes; Iris Marku; Manish Ranjan; Angus A Wilfong; P David Adelson
Journal:  Neurol Clin Pract       Date:  2019-08

4.  Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study.

Authors:  Seul Lee; Jonathan R Polimeni; Collin M Price; Brian L Edlow; Jennifer A McNab
Journal:  Brain Connect       Date:  2018-06

5.  Transient effects of tumor location on the functional architecture at rest in glioblastoma patients: three longitudinal case studies.

Authors:  Noora Tuovinen; Francesco de Pasquale; Massimo Caulo; Chiara Falletta Caravasso; Emilia Giudice; Roberto Miceli; Gianluca Ingrosso; Anne Laprie; Riccardo Santoni; Umberto Sabatini
Journal:  Radiat Oncol       Date:  2016-08-17       Impact factor: 3.481

6.  Rewiring of neuronal networks during synaptic silencing.

Authors:  Jana Katharina Wrosch; Vicky von Einem; Katharina Breininger; Marc Dahlmanns; Andreas Maier; Johannes Kornhuber; Teja Wolfgang Groemer
Journal:  Sci Rep       Date:  2017-09-15       Impact factor: 4.379

7.  Fractional Amplitude of Low-Frequency Fluctuations and Functional Connectivity in Comatose Patients Subjected to Resting-State Functional Magnetic Resonance Imaging.

Authors:  Lixuan Huang; Yan Zheng; Zisan Zeng; Muyan Li; Ling Zhang; Yang Gao
Journal:  Ann Indian Acad Neurol       Date:  2019 Apr-Jun       Impact factor: 1.383

8.  Altered Resting Functional Connectivity Is Related to Cognitive Outcome in Males With Moderate-Severe Traumatic Brain Injury.

Authors:  Nikos Konstantinou; Eva Pettemeridou; Emmanuel A Stamatakis; Ioannis Seimenis; Fofi Constantinidou
Journal:  Front Neurol       Date:  2019-01-10       Impact factor: 4.003

  8 in total

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