Patient-specific changes in motor network functional connectivity after brain stimulation in perinatal stroke

2019 ◽  
Vol 12 (2) ◽  
pp. 529
Author(s):  
H. Carlson ◽  
A. Kirton
Keyword(s):  
Functional Connectivity ◽  
Brain Stimulation ◽  
Patient Specific ◽  
Perinatal Stroke ◽  
Motor Network

scholarly journals Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke

2019 ◽  
Vol 21 ◽  
pp. 101670 ◽  
Author(s):  
K.E. Woodward ◽  
H.L. Carlson ◽  
A. Kuczynski ◽  
J. Saunders ◽  
J. Hodge ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Functional Connectivity ◽  
Perinatal Stroke ◽  
Motor Network ◽  
Sensory Motor ◽  
Unilateral Cerebral Palsy

scholarly journals GP.05 Sensory-motor network functional connectivity in hemiparetic children with perinatal stroke

2017 ◽  
Vol 44 (S2) ◽  
pp. S8-S8
Author(s):  
KE Woodward ◽  
H Carlson ◽  
A Kuczynski ◽  
J Saunders ◽  
J Hodge ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Pearson Correlation ◽  
Sensory Function ◽  
Matching Task ◽  
Perinatal Stroke ◽  
Motor Network ◽  
Improved Performance ◽  
Proprioceptive Function ◽  
The Relationship ◽  
Insight Into

Background: Perinatal stroke is the most common cause of hemiparetic cerebral palsy. Post-stroke plasticity is well studied in adults, but mechanisms in children are poorly understood. To better understand the relationship between functional connectivity and disability, we used rsfMRI to compare connectivity with sensorimotor dysfunction. Methods: Subjects with periventricular venous infarction were compared to controls. Resting-state BOLD signal was acquired on 3T MRI and analyzed using SPM12. Functional connectivity was computed between S1 and M1 of the left/non-lesioned and right/ lesioned hemisphere. Primary outcome was connectivity expressed as a Pearson correlation coefficient. Motor function was measured using the Assisting Hand Assessment (AHA), and Melbourne Assessment (MA). Proprioceptive function was measured using a robotic position matching task (VarXY). Results: Subjects included 17 PVI and 21 controls. AHA and MA in patients were negatively correlated with connectivity (increased connectivity=poorer performance). Correlations between AHA and connectivity between non-lesioned M1 to bilateral S1s were significant. VarXY in PVI was inversely correlated with connectivity (increased connectivity=improved performance), significantly between non-lesioned S1 and bilateral M1s. Control VarXY was positively correlated with connectivity between non-dominant S1 to bilateral M1s. Conclusions: We demonstrated significant correlations between connectivity and motor/sensory function in PVI patients. Greater insight into understanding reorganization of brain networks following perinatal stroke may facilitate personalized rehabilitation.

scholarly journals Quantified Assessment of Deep Brain Stimulation on Parkinson's Patients with Task fNIRS Measurements and Functional Connectivity Analysis: A Pilot Study

2020 ◽  
Author(s):  
Ningbo Yu ◽  
Siquan Liang ◽  
Jiewei Lu ◽  
Zhilin Shu ◽  
Haitao Li ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Functional Connectivity ◽  
Brain Stimulation ◽  
Patient Specific ◽  
Connectivity Analysis ◽  
Functional Near Infrared Spectroscopy ◽  
Functional Connectivity Analysis ◽  
Stimulation Parameters ◽  
Brain Functional Connectivity ◽  
Deep Brain

Abstract Background: Deep brain stimulation (DBS) has proved effective for Parkinsons disease (PD), but the identification of stimulation parameters relies on doctors’ subjective judgment on patient behavior.Methods: Five PD patients performed 10-meter walking tasks under different brain stimulation frequencies. During walking tests, a wearable functional near-infrared spectroscopy (fNIRS) system was used to measure the concentration change of oxygenated hemoglobin (ΔHbO2) in prefrontal cortex, parietal lobe and occipital lobe. Brain functional connectivity and global efficiency were calculated to quantify the brain activities.Results: We discovered that both the global and regional brain efficiency of all patients varied with stimulation parameters, and the DBS pattern enabling the highest brain efficiency was optimal for each patient, in accordance with the clinical assessments and DBS treatment decision made by the doctors.Conclusions: Task fNIRS assessments and brain functional connectivity analysis promise a quantified and objective solution for patient-specific optimization of DBS treatment.Trial registration: The study was approved by the Ethical Committee of Tianjin Huanhu Hospital (2019-35), and has been registered in Chinese Clinical Trial Registry (ChiCTR1900022715).

scholarly journals Different Brain Connectivity between Responders and Nonresponders to Dual-Mode Noninvasive Brain Stimulation over Bilateral Primary Motor Cortices in Stroke Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Jungsoo Lee ◽  
Ahee Lee ◽  
Heegoo Kim ◽  
Mina Shin ◽  
Sang Moon Yun ◽  
...  
Keyword(s):  
Brain Stimulation ◽  
Primary Motor Cortex ◽  
Functional Improvement ◽  
Patient Specific ◽  
Stroke Patients ◽  
Noninvasive Brain Stimulation ◽  
Network Characteristics ◽  
Subacute Stroke ◽  
Motor Network ◽  
Interhemispheric Connectivity

Noninvasive brain stimulation (NBS), such as repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS), has been used in stroke patients with motor impairment. NBS can help recovery from brain damage by modulating cortical excitability. However, the efficacy of NBS varies among individuals. To obtain insights of responsiveness to the efficacy of NBS, we investigated characteristic changes of the motor network in responders and nonresponders of NBS over the primary motor cortex (M1). A total of 21 patients with subacute stroke (13 males, mean age 59.6±11.5 years) received NBS in the same manner: 1 Hz rTMS on the contralesional M1 and anodal tDCS on the ipsilesional M1. Participants were classified into responders and nonresponders based on the functional improvement of the affected upper extremity after applying NBS. Twelve age-matched healthy controls (8 males, mean age 56.1±14.3 years) were also recruited. Motor networks were constructed using resting-state functional magnetic resonance imaging. M1 intrahemispheric connectivity, interhemispheric connectivity, and network efficiency were measured to investigate differences in network characteristics between groups. The motor network characteristics were found to differ between both groups. Specifically, M1 intrahemispheric connectivity in responders showed a noticeable imbalance between affected and unaffected hemispheres, which was markedly restored after NBS. The responders also showed greater interhemispheric connectivity and higher efficiency of the motor network than the nonresponders. These results may provide insight on patient-specific NBS treatment based on the brain network characteristics in neurorehabilitation of patients with stroke. This trial is registered with trial registration number NCT03390192.

scholarly journals Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease

2019 ◽  
Vol 9 (3) ◽  
pp. 51 ◽  
Author(s):  
Rens Verhagen ◽  
Lo Bour ◽  
Vincent Odekerken ◽  
Pepijn van den Munckhof ◽  
P. Schuurman ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Anatomical Variation ◽  
Patient Specific ◽  
One Year ◽  
Motor Improvement ◽  
Deep Brain

Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location of 43 electrodes (26 patients), derived from MRI-fused CT images, was expressed relative to this patient-specific MER-based STN. Using regression analyses, the relation between contact location and motor improvement was studied. The regression model that predicts motor improvement based on levodopa effect alone was significantly improved by adding the one-year active contact coordinates (R2 change = 0.176, p = 0.014). In the combined prediction model (adjusted R2 = 0.389, p < 0.001), the largest contribution was made by the mediolateral location of the active contact (standardized beta = 0.490, p = 0.002). With the MER-based STN as a reference, we were able to find a significant relation between active contact location and motor improvement. MER-based STN modeling can be used to complement imaging-based STN models in the application of DBS.

scholarly journals Resting-State Functional Connectivity and Cognitive Impairment in Children with Perinatal Stroke

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Nigul Ilves ◽  
Pilvi Ilves ◽  
Rael Laugesaar ◽  
Julius Juurmaa ◽  
Mairi Männamaa ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Functions ◽  
Resting State ◽  
Outcome Measurement ◽  
Pediatric Stroke ◽  
Resting State Networks ◽  
Neurocognitive Deficits ◽  
Resting State Functional Connectivity ◽  
Perinatal Stroke ◽  
Brain Functions

Perinatal stroke is a leading cause of congenital hemiparesis and neurocognitive deficits in children. Dysfunctions in the large-scale resting-state functional networks may underlie cognitive and behavioral disability in these children. We studied resting-state functional connectivity in patients with perinatal stroke collected from the Estonian Pediatric Stroke Database. Neurodevelopment of children was assessed by the Pediatric Stroke Outcome Measurement and the Kaufman Assessment Battery. The study included 36 children (age range 7.6–17.9 years): 10 with periventricular venous infarction (PVI), 7 with arterial ischemic stroke (AIS), and 19 controls. There were no differences in severity of hemiparesis between the PVI and AIS groups. A significant increase in default mode network connectivity (FDR 0.1) and lower cognitive functions (p<0.05) were found in children with AIS compared to the controls and the PVI group. The children with PVI had no significant differences in the resting-state networks compared to the controls and their cognitive functions were normal. Our findings demonstrate impairment in cognitive functions and neural network profile in hemiparetic children with AIS compared to children with PVI and controls. Changes in the resting-state networks found in children with AIS could possibly serve as the underlying derangements of cognitive brain functions in these children.

scholarly journals Method for patient-specific finite element modeling and simulation of deep brain stimulation

2008 ◽  
Vol 47 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Mattias Åström ◽  
Ludvic U. Zrinzo ◽  
Stephen Tisch ◽  
Elina Tripoliti ◽  
Marwan I. Hariz ◽  
...  
Keyword(s):  
Finite Element ◽  
Deep Brain Stimulation ◽  
Finite Element Modeling ◽  
Modeling And Simulation ◽  
Brain Stimulation ◽  
Patient Specific ◽  
Element Modeling ◽  
Deep Brain

scholarly journals Local GABA concentration is related to network-level resting functional connectivity

eLife ◽  
2014 ◽  
Vol 3 ◽  
Author(s):  
Charlotte J Stagg ◽  
Velicia Bachtiar ◽  
Ugwechi Amadi ◽  
Christel A Gudberg ◽  
Andrei S Ilie ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Primary Motor Cortex ◽  
Empirical Studies ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Resonance Spectroscopy ◽  
Resting State Networks ◽  
Inhibitory Neurotransmitter ◽  
Motor Network

Anatomically plausible networks of functionally inter-connected regions have been reliably demonstrated at rest, although the neurochemical basis of these ‘resting state networks’ is not well understood. In this study, we combined magnetic resonance spectroscopy (MRS) and resting state fMRI and demonstrated an inverse relationship between levels of the inhibitory neurotransmitter GABA within the primary motor cortex (M1) and the strength of functional connectivity across the resting motor network. This relationship was both neurochemically and anatomically specific. We then went on to show that anodal transcranial direct current stimulation (tDCS), an intervention previously shown to decrease GABA levels within M1, increased resting motor network connectivity. We therefore suggest that network-level functional connectivity within the motor system is related to the degree of inhibition in M1, a major node within the motor network, a finding in line with converging evidence from both simulation and empirical studies.

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