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Journal articles on the topic 'Inter-hemispheric connectivity'

Author: Grafiati

Published: 11 March 2023

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1

Bitan, T., A. Lifshits, Z. Breznitz, and J. R. Booth. "Inter-hemispheric connectivity during phonological processing." NeuroImage 47 (July 2009): S165. http://dx.doi.org/10.1016/s1053-8119(09)71756-2.

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2

Ribolsi, Michele, Francesco Mori, Valentina Magni, et al. "Impaired inter-hemispheric facilitatory connectivity in schizophrenia." Clinical Neurophysiology 122, no. 3 (2011): 512–17. http://dx.doi.org/10.1016/j.clinph.2010.08.013.

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3

Amodio, R., A. Prinster, A. M. Monteleone, et al. "Interhemispheric functional connectivity in anorexia and bulimia nervosa." European Psychiatry 41, S1 (2017): S551. http://dx.doi.org/10.1016/j.eurpsy.2017.01.781.

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IntroductionThe functional interplay between brain hemispheres is fundamental for behavioral, cognitive and emotional control. Several pathophysiological aspects of eating disorders (EDs) have been investigated by the use of functional Magnetic Resonance Imaging (fMRI).ObjectivesThe objective of the study was to investigate functional brain asymmetry of resting-state fMRI correlations in symptomatic patients with anorexia nervosa (AN) and bulimia nervosa (BN).AimsWe aimed at revealing whether brain regions implicated in reward, cognitive control, starvation and emotion regulation show altered inter-hemispheric functional connectivity in patients with AN and BN.MethodsUsing resting-state fMRI, voxel-mirrored homotopic connectivity (VMHC) and regional inter-hemispheric spectral coherence (IHSC) analyses in two canonical slow frequency bands (“Slow-5”, “Slow-4”) were studied in 15AN and 13BN patients and 16 healthy controls (HC). Using T1-weighted and diffusion tensor imaging MRI scans, regional VMHC values were correlated with the left-right asymmetry of corresponding homotopic gray matter volumes and with the white matter callosal fractional anisotropy (FA).ResultsCompared to HC, AN patients exhibited reduced VMHC in cerebellum, insula and precuneus, while BN patients showed reduced VMHC in dorso-lateral prefrontal and orbito-frontal cortices. The regional IHSC analysis highlighted that the inter-hemispheric functional connectivity was higher in the ‘Slow-5′Band in all regions except the insula. No group differences in left-right structural asymmetries and in VMHC vs callosal FA correlations were found.ConclusionsThese anomalies indicate that AN and BN, at least in their acute phase, are associated with a loss of inter-hemispheric connectivity in regions implicated in self-referential, cognitive control and reward processing.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Ovadia-Caro, Smadar, Yuval Nir, Andrea Soddu, et al. "Reduction in Inter-Hemispheric Connectivity in Disorders of Consciousness." PLoS ONE 7, no. 5 (2012): e37238. http://dx.doi.org/10.1371/journal.pone.0037238.

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Luo, ChunYan, XiaoYan Guo, Wei Song, et al. "Decreased Resting-State Interhemispheric Functional Connectivity in Parkinson’s Disease." BioMed Research International 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/692684.

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Background. Abnormalities in white matter integrity and specific functional network alterations have been increasingly reported in patients with Parkinson’s disease (PD). However, little is known about the inter-hemispheric interaction in PD.Methods. Fifty-one drug naive patients with PD and 51 age- and gender-matched healthy subjects underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. We compared the inter-hemispheric resting-state functional connectivity between patients with PD and healthy controls, using the voxel-mirrored homotopic connectivity (VMHC) approach. Then, we correlated the results from VMHC and clinical features in PD patients.Results. Relative to healthy subject, patients exhibited significantly lower VMHC in putamen and cortical regions associated with sensory processing and motor control (involving sensorimotor and supramarginal cortex), which have been verified to play a critical role in PD. In addition, there were inverse relationships between the UPDRS motor scores and VMHC in the sensorimotor, and between the illness duration and VMHC in the supramarginal gyrus in PD patients.Conclusions. Our results suggest that the functional coordination between homotopic brain regions is impaired in PD patients, extending previous notions about the disconnection of corticostriatal circuit by providing new evidence supporting a disturbance in inter-hemispheric connections in PD.

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Zhang, Yanan, Ni Liu, Zhenjia Wang, et al. "Impaired Inter-Hemispheric Functional Connectivity during Resting State in Female Patients with Migraine." Brain Sciences 12, no. 11 (2022): 1505. http://dx.doi.org/10.3390/brainsci12111505.

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The application of voxel-mirrored homotopic connectivity (VMHC) analysis to study the central mechanism of migraine has been limited. Furthermore, little is known about inter-hemispheric functional connectivity (FC) alterations during resting state in female patients with migraine. This study aimed to investigate potential interictal VMHC impairments in migraine without aura (MwoA) patients and the relationship between connectivity alterations and clinical parameters. Resting-state functional magnetic resonance imaging data and clinical information were acquired from 43 female MwoA patients and 43 matched healthy controls. VMHC analysis was used to compare differences between these two groups, and brain regions showing significant differences were chosen as a mask to perform a seed-based FC group comparison. Subsequent correlation analysis was conducted to explore the relationship between abnormal inter-hemispheric FC and clinical data. Compared with healthy controls, female MwoA patients revealed significantly decreased VMHC in the bilateral cerebellum; cuneus; and lingual, middle occipital, precentral and postcentral gyri. Seed-based FC analysis indicated disrupted intrinsic connectivity in the cerebellum, and default mode, visual and sensorimotor network. These VMHC and FC abnormalities were negatively correlated with clinical indexes including duration of disease, migraine days and visual analogue scale. These inter-hemispheric FC impairments and correlations between abnormal VMHC and FC and clinical scores may improve our understanding of the central mechanism of female-specific migraine.

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Korolev, Igor, Andrea Bozoki, Shantanu Majumdar, Kevin Berger, and David Zhu. "P4-104: Alzheimer's disease reduces inter-hemispheric hippocampal functional connectivity." Alzheimer's & Dementia 7 (July 2011): S739. http://dx.doi.org/10.1016/j.jalz.2011.05.2125.

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Pasquini, Luca, Kyung K. Peck, Alice Tao, et al. "Longitudinal Evaluation of Brain Plasticity in Low-Grade Gliomas: fMRI and Graph-Theory Provide Insights on Language Reorganization." Cancers 15, no. 3 (2023): 836. http://dx.doi.org/10.3390/cancers15030836.

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Language reorganization may represent an adaptive phenomenon to compensate tumor invasion of the dominant hemisphere. However, the functional changes over time underlying language plasticity remain unknown. We evaluated language function in patients with low-grade glioma (LGG), using task-based functional MRI (tb-fMRI), graph-theory and standardized language assessment. We hypothesized that functional networks obtained from tb-fMRI would show connectivity changes over time, with increased right-hemispheric participation. We recruited five right-handed patients (4M, mean age 47.6Y) with left-hemispheric LGG. Tb-fMRI and language assessment were conducted pre-operatively (pre-op), and post-operatively: post-op1 (4–8 months), post-op2 (10–14 months) and post-op3 (16–23 months). We computed the individual functional networks applying optimal percolation thresholding. Language dominance and hemispheric connectivity were quantified by laterality indices (LI) on fMRI maps and connectivity matrices. A fixed linear mixed model was used to assess the intra-patient correlation trend of LI values over time and their correlation with language performance. Individual networks showed increased inter-hemispheric and right-sided connectivity involving language areas homologues. Two patterns of language reorganization emerged: Three/five patients demonstrated a left-to-codominant shift from pre-op to post-op3 (type 1). Two/five patients started as atypical dominant at pre-op, and remained unchanged at post-op3 (type 2). LI obtained from tb-fMRI showed a significant left-to-right trend in all patients across timepoints. There were no significant changes in language performance over time. Type 1 language reorganization may be related to the treatment, while type 2 may be tumor-induced, since it was already present at pre-op. Increased inter-hemispheric and right-side connectivity may represent the initial step to develop functional plasticity.

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Wozniak, Jeffrey R., Bryon A. Mueller, Ryan L. Muetzel, et al. "Inter-Hemispheric Functional Connectivity Disruption in Children With Prenatal Alcohol Exposure." Alcoholism: Clinical and Experimental Research 35, no. 5 (2011): 849–61. http://dx.doi.org/10.1111/j.1530-0277.2010.01415.x.

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10

Hulshoff Pol, Hilleke E., Hugo G. Schnack, René C. W. Mandl, et al. "Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity." NeuroImage 21, no. 1 (2004): 27–35. http://dx.doi.org/10.1016/j.neuroimage.2003.09.026.

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11

Low, Sze-Cheen, Louise A. Corben, Martin B. Delatycki, Anne-Marie Ternes, Patricia K. Addamo, and Nellie Georgiou-Karistianis. "Excessive motor overflow reveals abnormal inter-hemispheric connectivity in Friedreich ataxia." Journal of Neurology 260, no. 7 (2013): 1757–64. http://dx.doi.org/10.1007/s00415-013-6869-3.

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Kajal, Diljit Singh, Christoph Braun, Jürgen Mellinger, et al. "Learned control of inter-hemispheric connectivity: Effects on bimanual motor performance." Human Brain Mapping 38, no. 9 (2017): 4353–69. http://dx.doi.org/10.1002/hbm.23663.

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Zhang, Haoman, Lei Hao, Li Fan, Yi Zhang, Ting Li, and Jiang Qiu. "Sex-specific intra- and inter-hemispheric structural connectivity related to divergent thinking." Neuroscience Letters 774 (March 2022): 136513. http://dx.doi.org/10.1016/j.neulet.2022.136513.

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Geiger, Maximilian J., Ruth O'Gorman Tuura, and Peter Klaver. "Inter-hemispheric connectivity in the fusiform gyrus supports memory consolidation for faces." European Journal of Neuroscience 43, no. 9 (2016): 1137–45. http://dx.doi.org/10.1111/ejn.13197.

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Sun, Weiting, Luo Xiong, Tingzhen Zhang, Xiaoyin Wu, and Jun Li. "Prefrontal inter-hemispheric resting-state functional connectivity measured with diffuse correlation spectroscopy." OSA Continuum 3, no. 10 (2020): 2830. http://dx.doi.org/10.1364/osac.401741.

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Bleich-Cohen, Maya, Haggai Sharon, Ronit Weizman, Michael Poyurovsky, Sarit Faragian, and Talma Hendler. "Diminished language lateralization in schizophrenia corresponds to impaired inter-hemispheric functional connectivity." Schizophrenia Research 134, no. 2-3 (2012): 131–36. http://dx.doi.org/10.1016/j.schres.2011.10.011.

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Luo, Xiao, Kaicheng Li, YL Jia, et al. "Abnormal of inter-hemispheric functional connectivity in elderly subjects with overweight/obesity." Obesity Research & Clinical Practice 12, no. 6 (2018): 555–61. http://dx.doi.org/10.1016/j.orcp.2018.01.003.

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Zito, G., E. Luders, L. Tomasevic, et al. "Inter-hemispheric functional connectivity changes with corpus callosum morphology in multiple sclerosis." Neuroscience 266 (April 2014): 47–55. http://dx.doi.org/10.1016/j.neuroscience.2014.01.039.

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Zito, G., L. Tomasevic, D. Landi, et al. "P17.12 Inter-hemispheric connectivity in multiple sclerosis: an integrative electrophysiological-structural study." Clinical Neurophysiology 122 (June 2011): S134. http://dx.doi.org/10.1016/s1388-2457(11)60479-3.

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Huang, Chihlien. "Notes from the Pier No. 1(3)." China and the World 02, no. 03 (2019): 1950015. http://dx.doi.org/10.1142/s2591729319500159.

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Based on the two previous notes, this paper argues that if China’s national as well as international development programs are actually a configuration of inter-connectivity, then the Shanghai Communique (February, 1972) can be taken as a midway station between the Russia Aid Programs (1950s), the Bandung Declaration (1956) and the Pan American Highway and BRI-OBOR could be taken as a continental inter-connectivity. From there on, an Arctic OBOR would result in a super inter-hemispheric OBOR, thus bringing human civilizations to move from “#1.0” to “#2.0” and on to their “#3.0 Paradigm shift”. In addition to big nations such as China, EU, Russia, and the US playing their leading roles, many other nations along the road would be able to participate in the process and share its rewards.

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Carter, A. R., S. V. Astafiev, C. E. Lang, et al. "Inter-hemispheric Functional Connectivity in Attention and Motor Networks Predicts Behavior after Stroke." NeuroImage 47 (July 2009): S116. http://dx.doi.org/10.1016/s1053-8119(09)71077-8.

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Saar-Ashkenazy, Rotem, Ronel Veksler, Jonathan Guez, et al. "Breakdown of Inter-Hemispheric Connectivity Is Associated with Posttraumatic Symptomatology and Memory Impairment." PLOS ONE 11, no. 2 (2016): e0144766. http://dx.doi.org/10.1371/journal.pone.0144766.

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Miller, V. M., D. Gupta, N. Neu, A. Cotroneo, C. B. Boulay, and R. F. Seegal. "Novel inter-hemispheric white matter connectivity in the BTBR mouse model of autism." Brain Research 1513 (June 2013): 26–33. http://dx.doi.org/10.1016/j.brainres.2013.04.001.

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Agcaoglu, O., R. Miller, E. Damaraju, et al. "Decreased hemispheric connectivity and decreased intra- and inter- hemisphere asymmetry of resting state functional network connectivity in schizophrenia." Brain Imaging and Behavior 12, no. 3 (2017): 615–30. http://dx.doi.org/10.1007/s11682-017-9718-7.

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Chen, Chiao-Yun, Ju-Yu Yen, Peng-Wei Wang, Gin-Chung Liu, Cheng-Fang Yen, and Chih-Hung Ko. "Altered Functional Connectivity of the Insula and Nucleus Accumbens in Internet Gaming Disorder: A Resting State fMRI Study." European Addiction Research 22, no. 4 (2016): 192–200. http://dx.doi.org/10.1159/000440716.

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Aims: A possible addiction mechanism has been represented by altered functional connectivity (FC) in the resting state. The aim of this study was to evaluate the FCs of the insula and nucleus accumbens among subjects with Internet gaming disorder (IGD). Methods: We recruited 30 males with IGD and 30 controls and evaluated their FC using functional magnetic imaging scanning under resting, a state with relaxation, closed eyes, with inducement to think of nothing systematically, become motionless, and instructed not to fall asleep. Results: Subjects with IGD had a lower FC with the left insula over the left dorsolateral prefrontal cortex (DLPFC) and orbital frontal lobe and a higher FC with the insula with the contralateral insula than controls. The inter-hemispheric insula connectivity positively correlated with impulsivity. Further, they had lower FC with the left nucleus accumbens over the left DLPFC and with the right nucleus accumbens over the left DLPFC, and insula and a higher FC with that over the right precuneus. Conclusion: The elevated inter-hemispheric insula FC is found to be associated with impulsivity and might explain why it is involved in IGD. The attenuated frontostriatal suggests that the emotion-driven gaming urge through nucleus accumbens could not be well regulated by the frontal lobe of subjects with IGD.

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Chung, Yoon, Sang Han, Hyung-Sik Kim, et al. "Intra- and inter-hemispheric effective connectivity in the human somatosensory cortex during pressure stimulation." BMC Neuroscience 15, no. 1 (2014): 43. http://dx.doi.org/10.1186/1471-2202-15-43.

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Yang, Haiqing, Lin Bai, Yi Zhou, et al. "Increased inter-hemispheric resting-state functional connectivity in acute lacunar stroke patients with aphasia." Experimental Brain Research 235, no. 3 (2016): 941–48. http://dx.doi.org/10.1007/s00221-016-4851-x.

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Tao, Yuan, Kyrana Tsapkini, and Brenda Rapp. "Inter-hemispheric synchronicity and symmetry: The functional connectivity consequences of stroke and neurodegenerative disease." NeuroImage: Clinical 36 (2022): 103263. http://dx.doi.org/10.1016/j.nicl.2022.103263.

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Luo, Xiao, Tiantian Qiu, Xiaojun Xu та ін. "Decreased Inter-Hemispheric Functional Connectivity in Cognitively Intact Elderly APOE ɛ4 Carriers: A Preliminary Study". Journal of Alzheimer's Disease 50, № 4 (2016): 1137–48. http://dx.doi.org/10.3233/jad-150989.

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Liao, Wei, Yang Yu, Huan-Huan Miao, Yi-Xuan Feng, Gong-Jun Ji, and Jian-Hua Feng. "Inter-hemispheric Intrinsic Connectivity as a Neuromarker for the Diagnosis of Boys with Tourette Syndrome." Molecular Neurobiology 54, no. 4 (2016): 2781–89. http://dx.doi.org/10.1007/s12035-016-9863-9.

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Mamun, K. A., M. Mace, M. E. Lutman, et al. "Movement decoding using neural synchronization and inter-hemispheric connectivity from deep brain local field potentials." Journal of Neural Engineering 12, no. 5 (2015): 056011. http://dx.doi.org/10.1088/1741-2560/12/5/056011.

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Nuttall, Helen E., Dan Kennedy-Higgins, Joseph T. Devlin, and Patti Adank. "Modulation of intra- and inter-hemispheric connectivity between primary and premotor cortex during speech perception." Brain and Language 187 (December 2018): 74–82. http://dx.doi.org/10.1016/j.bandl.2017.12.002.

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Kasymova, Lala N., Evgeny V. Dorofeev, Evgeny M. Sychugov, and Oleg S. Zaitsev. "Functional asymmetry and inter-hemispheric connectivity in audio-speech activity in patients with endogenous mental diseases." Psychiatry 79 (2018): 79–86. http://dx.doi.org/10.30629/2618-6667-2018-79-79-86.

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Feng, Nana, Ming Gao, Jiayu Wu, Guang Yang, Ruiqing Piao, and Peng Liu. "Higher inter-hemispheric homotopic connectivity in lifelong premature ejaculation patients: a pilot resting-state fMRI study." Quantitative Imaging in Medicine and Surgery 11, no. 7 (2021): 3234–43. http://dx.doi.org/10.21037/qims-20-1103.

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Mäki-Marttunen, Verónica, Jesús M. Cortes, Mirta F. Villarreal, and Dante R. Chialvo. "Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness." BMC Neuroscience 14, Suppl 1 (2013): P83. http://dx.doi.org/10.1186/1471-2202-14-s1-p83.

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Chen, Shuaiyu, Debo Dong, Todd Jackson, Yanhua Su, and Hong Chen. "Altered frontal inter-hemispheric resting state functional connectivity is associated with bulimic symptoms among restrained eaters." Neuropsychologia 81 (January 2016): 22–30. http://dx.doi.org/10.1016/j.neuropsychologia.2015.06.036.

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Dimitriadis, Stavros I., Panagiotis G. Simos, Jack Μ. Fletcher, and Andrew C. Papanicolaou. "Typical and Aberrant Functional Brain Flexibility: Lifespan Development and Aberrant Organization in Traumatic Brain Injury and Dyslexia." Brain Sciences 9, no. 12 (2019): 380. http://dx.doi.org/10.3390/brainsci9120380.

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Intrinsic functional connectivity networks derived from different neuroimaging methods and connectivity estimators have revealed robust developmental trends linked to behavioural and cognitive maturation. The present study employed a dynamic functional connectivity approach to determine dominant intrinsic coupling modes in resting-state neuromagnetic data from 178 healthy participants aged 8–60 years. Results revealed significant developmental trends in three types of dominant intra- and inter-hemispheric neuronal population interactions (amplitude envelope, phase coupling, and phase-amplitude synchronization) involving frontal, temporal, and parieto-occipital regions. Multi-class support vector machines achieved 89% correct classification of participants according to their chronological age using dynamic functional connectivity indices. Moreover, systematic temporal variability in functional connectivity profiles, which was used to empirically derive a composite flexibility index, displayed an inverse U-shaped curve among healthy participants. Lower flexibility values were found among age-matched children with reading disability and adults who had suffered mild traumatic brain injury. The importance of these results for normal and abnormal brain development are discussed in light of the recently proposed role of cross-frequency interactions in the fine-grained coordination of neuronal population activity.

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Smith, Ryan, Anna Alkozei, Jennifer Bao, and William D. S. Killgore. "Successful Goal-Directed Memory Suppression is Associated With Increased Inter-Hemispheric Coordination Between Right and Left Frontoparietal Control Networks." Psychological Reports 121, no. 1 (2017): 93–111. http://dx.doi.org/10.1177/0033294117723018.

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The neural basis of suppressing conscious access to one’s own memories has recently received considerable attention, with several studies suggesting this process engages frontal-parietal cognitive control regions. However, researchers to date have not examined the way right and left hemisphere cognitive control networks coordinate with one another to accomplish this. We had 48 participants (25 female) complete a Think/No Think (T/NT) task for memories of emotionally unpleasant visual scenes while undergoing functional magnetic resonance imaging. We used generalized psychophysiologic interaction analyses to examine functional connectivity between right and left hemisphere frontal-parietal regions during memory suppression. Participants who were better at memory suppression, as assessed by greater numbers of forgotten memories in the NT than T conditions, also showed greater functional connectivity between multiple right and left hemisphere control regions. This suggests that individual differences in memory suppression ability may be partially explained by differences in task-specific inter-hemispheric coordination.

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Pepi, Chiara, Mattia Mercier, Giusy Carfì Pavia, et al. "Can Presurgical Interhemispheric EEG Connectivity Predict Outcome in Hemispheric Surgery? A Brain Machine Learning Approach." Brain Sciences 13, no. 1 (2022): 71. http://dx.doi.org/10.3390/brainsci13010071.

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Objectives: Hemispherotomy (HT) is a surgical option for treatment of drug-resistant seizures due to hemispheric structural lesions. Factors affecting seizure outcome have not been fully clarified. In our study, we used a brain Machine Learning (ML) approach to evaluate the possible role of Inter-hemispheric EEG Connectivity (IC) in predicting post-surgical seizure outcome. Methods: We collected 21 pediatric patients with drug-resistant epilepsy; who underwent HT in our center from 2009 to 2020; with a follow-up of at least two years. We selected 5-s windows of wakefulness and sleep pre-surgical EEG and we trained Artificial Neuronal Network (ANN) to estimate epilepsy outcome. We extracted EEG features as input data and selected the ANN with best accuracy. Results: Among 21 patients, 15 (71%) were seizure and drug-free at last follow-up. ANN showed 73.3% of accuracy, with 85% of seizure free and 40% of non-seizure free patients appropriately classified. Conclusions: The accuracy level that we reached supports the hypothesis that pre-surgical EEG features may have the potential to predict epilepsy outcome after HT. Significance: The role of pre-surgical EEG data in influencing seizure outcome after HT is still debated. We proposed a computational predictive model, with an ML approach, with a high accuracy level.

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Hazarika, Jupitara, Piyush Kant, Rajdeep Dasgupta, and Shahedul Haque Laskar. "EEG Wavelet Coherence Based Analysis of Neural Connectivity in Action Video Game Players in Attention Inhibition and Short-term Memoryretention Task." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 4 (2019): 324–38. http://dx.doi.org/10.2174/2352096511666180821111536.

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Background: The involvement in action video gaming alters the cognitive abilities and hence affects the neural functionality. Electroencephalogram (EEG) favorably provides the measure. Wavelet coherence, which is a wavelet transform based feature that provides useful information regarding synchronized activity between two signals. It does not depend on the stationarity of the signal and hence very much relevant for non-stationary EEG application. Methods: We aimed to examine how the task-related synchronization pattern of action video game players (AVGPs) differs from non-AVGPs. EEG data were collected from thirty-five young and healthy male participants while performing an attention inhibition task and a visuospatial short-term memory-retention task. The sub-frequency components, theta, alpha, beta and gamma bands of EEG were extracted using Discrete wavelet transform (DWT). The intra and inter-hemispheric coherence in EEG sub-frequency bands were assessed as a feature for the analysis. Results: Theta, alpha, beta and gamma coherence has shown a significant difference (p<0.05) between AVGPs and non-AVGPs in both the visuo-spatial tasks in intra and inter-hemispheric functionality. More than 90% classification accuracies are achieved with ANFIS algorithm. Results also indicate that frontoparietal connectivity is significantly improved in AVGPs in both the visual sensory tasks considered. Conclusion: These EEG based analysis reports enhanced neural communication with improved attention inhibition and short-term memory retention in AVGPs. Result also established the Wavelet coherence as an effective tool in understanding the neural communication among different brain locations.

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Tecchio, Franca, Patrizio Pasqualetti, Vittorio Pizzella, GianLuca Romani, and Paolo Maria Rossini. "Morphology of somatosensory evoked fields: inter-hemispheric similarity as a parameter for physiological and pathological neural connectivity." Neuroscience Letters 287, no. 3 (2000): 203–6. http://dx.doi.org/10.1016/s0304-3940(00)01171-x.

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Markovska-Simoska, Silvana, Nada Pop-Jordanova, and Jordan Pop-Jordanov. "Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders." PRILOZI 39, no. 2-3 (2018): 5–19. http://dx.doi.org/10.2478/prilozi-2018-0037.

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Abstract Functional connectivity between different regions of the brain in the resting state has been a recent topic of interest in neurophysiological research. EEG coherence happened to be an useful tool for measuring changes in neuro-psycho-physiological functioning which are not detectable by simply measuring amplitude or power spectra. The aim of our study was to investigate the changes in the EEG coherence in groups of different mental disorders such as: depression, general anxiety disorder, ADHD, Asperger syndrome and headaches, compared to control group. All measures were made in two conditions: eye opened (EO) and eyes closed (EC). The obtained results show that in EO condition there is a significantly lower coherence for delta waves between analyzed groups. For theta coherence only for Asperger syndrome we found lower coherence compared to control group, ADHD and headaches in parietal region (P3-P4). Obtained results for intrahemispheric coherence have shown that there was significantly lower coherence in both conditions for delta and theta bands in almost all sites for Asperger’s syndrome, and opposite increased intrahemispheric coherence for patients with headaches (for delta band in the anterior regions and for theta band in the posterior regions). ADHD patients expressed lower delta inter-hemispheric coherence in frontal regions, and increased coherence of theta in central regions but increased delta coherence in posterior regions only in EO condition. For depressive and anxiety patients we found decreased intrahemispheric coherence for EO condition for delta brain waves all over the cortex. Concerning the coherence in anxiety patients in our current study we have obtained hypo coherence in centro-parieto-occipital region only for delta in inter-hemispheric coherence and also lower delta coherence through the cortex for intrahemispheric coherence. Our findings for interhemispheric hyper coherence in subjects with depression specifically for alpha and beta bands were confirmed in other studies. We suggest that EEG coherence analysis could be a sensitive parameter in the detection of electrophysiological abnormalities in patients with anxiety, depression, ADHD, Asperger syndrome and headaches. These results can confirm the development of QEEG state and trait biomarkers for psychiatric disorders.

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Yuan, Kai, Wei Qin, Peng Liu, et al. "Reduced Fractional Anisotropy of Corpus Callosum Modulates Inter-Hemispheric Resting State Functional Connectivity in Migraine Patients without Aura." PLoS ONE 7, no. 9 (2012): e45476. http://dx.doi.org/10.1371/journal.pone.0045476.

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Liu, B., T. Li, W. J. Tang, et al. "Changes of inter-hemispheric functional connectivity between motor cortices after brachial plexuses injury: A resting-state fMRI study." Neuroscience 243 (July 2013): 33–39. http://dx.doi.org/10.1016/j.neuroscience.2013.03.048.

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Sun, Ya-wen, Hao Hu, Yao Wang, et al. "Inter-hemispheric functional and anatomical connectivity abnormalities in traffic accident-induced PTSD: a study combining fMRI and DTI." Journal of Affective Disorders 188 (December 2015): 80–88. http://dx.doi.org/10.1016/j.jad.2015.08.021.

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Hamzei, Nazanin, John Steeves, John (Kip) Kramer, Matt Yedlin, and Guy A. Dumont. "Ultra-low Noise EEG at LSBB: Effective Connectivity Analysis." E3S Web of Conferences 88 (2019): 02002. http://dx.doi.org/10.1051/e3sconf/20198802002.

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In this study, we further investigate electroencephalographic (EEG) data recorded during October 2014 in the ultra-shielded capsule at LSBB, with a focus on the study of task-specific Granger-causal effective connectivity pat-terns. In previous studies, we showed that noise-free EEG signals acquired in LSBB are suitable for analysis of activity patterns in high frequency bands, i.e. 30 Hz and above. We previously demonstrated that increases in task/rest gamma band (30-70 Hz) energy ratios during ankle and wrist movements are more prominent in the LSBB capsule than in an above-ground hospital environ-ment. The present study extends previous analyses by examining gamma-band connectivity, i.e. the functional patterns of interaction between 64 channels of EEG within the gamma band during motor tasks. We use parameters from a MultiVariate Auto-Regressive (MVAR) model to estimate effective connectivity in 10-second batches of EEG and report the average patterns across all batches in which subjects repetitively move their ankle/wrist. We report the gamma-band connectivity results in a reduced form as strength of hemispheric and inter-regional connections. The analysis reveals that for some subjects, significant channel-wise connections in the LSBB capsule outnumber those in the hospital, suggesting that patterns of gamma-band connectivity are better reflected in low-noise environments. This study again demonstrates the poten-tial of the ultra-shielded capsule and motivates further protocol enhancements and analysis methods for conducting future high-frequency EEG studies within LSBB.

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Duffau, Hugues. "Functional Mapping before and after Low-Grade Glioma Surgery: A New Way to Decipher Various Spatiotemporal Patterns of Individual Neuroplastic Potential in Brain Tumor Patients." Cancers 12, no. 9 (2020): 2611. http://dx.doi.org/10.3390/cancers12092611.

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Intraoperative direct electrostimulation mapping (DEM) is currently the gold-standard for glioma surgery, since functional-based resection allows an optimization of the onco-functional balance (increased resection with preserved quality of life). Besides intrasurgical awake mapping of conation, cognition, and behavior, preoperative mapping by means of functional neuroimaging (FNI) and transcranial magnetic stimulation (TMS) has increasingly been utilized for surgical selection and planning. However, because these techniques suffer from several limitations, particularly for direct functional mapping of subcortical white matter pathways, DEM remains crucial to map neural connectivity. On the other hand, non-invasive FNI and TMS can be repeated before and after surgical resection(s), enabling longitudinal investigation of brain reorganization, especially in slow-growing tumors like low-grade gliomas. Indeed, these neoplasms generate neuroplastic phenomena in patients with usually no or only slight neurological deficits at diagnosis, despite gliomas involving the so-called “eloquent” structures. Here, data gained from perioperative FNI/TMS mapping methods are reviewed, in order to decipher mechanisms underpinning functional cerebral reshaping induced by the tumor and its possible relapse, (re)operation(s), and postoperative rehabilitation. Heterogeneous spatiotemporal patterns of rearrangement across patients and in a single patient over time have been evidenced, with structural changes as well as modifications of intra-hemispheric (in the ipsi-lesional and/or contra-lesional hemisphere) and inter-hemispheric functional connectivity. Such various fingerprints of neural reconfiguration were correlated to different levels of cognitive compensation. Serial multimodal studies exploring neuroplasticity might lead to new management strategies based upon multistage therapeutic approaches adapted to the individual profile of functional reallocation.

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Ben-Shimol, E., N. Gass, B. Vollmayr, A. Sartorius, and G. Goelman. "Reduced connectivity and inter-hemispheric symmetry of the sensory system in a rat model of vulnerability to developing depression." Neuroscience 310 (December 2015): 742–50. http://dx.doi.org/10.1016/j.neuroscience.2015.09.057.

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Paitel, Elizabeth R., and Kristy A. Nielson. "316 Frontal-cerebellar EEG source localization and functional connectivity as predictors of Alzheimer’s disease-related cognitive decline." Journal of Clinical and Translational Science 6, s1 (2022): 56. http://dx.doi.org/10.1017/cts.2022.176.

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OBJECTIVES/GOALS: Novel EEG source localization and functional connectivity will assess frontal and cerebellar activity as predictors of subsequent memory and executive functioning (EF) decline in healthy, asymptomatic older adults who carry the Apolipoprotein-E Îµ4 allele (Îµ4+), which conveys up to 12x increased risk for Alzheimers disease (AD). METHODS/STUDY POPULATION: Healthy, cognitively intact Îµ4+ older adults (n = 23; ages 65-89) completed neuropsychological testing (focus on memory and EF) and EEG at Time 1, returning an average of one year later for neuropsychological retesting. EEG data during successful stop-signal inhibitory control trials will be used for advanced source localization and functional connectivity, with a focus on frontal and cerebellar regions of interest (ROIs). Source analyses will focus on the N200 time window (~200-350ms) to assess conflict processing and P300 (~300-550ms) for performance evaluation. Connectivity analyses are frequency-based, and will focus on theta band connectivity to assess conflict processing and delta to assess performance evaluation. RESULTS/ANTICIPATED RESULTS: Using hierarchical linear regression models, the magnitude of source activation within ROIs and connectivity metrics between ROIs will be used to predict residualized change in memory and executive function metrics between Time 1 and Time 2. We anticipate that 1) greater, compensatory activation in frontal ROIs during the N200 window, and 2) less cerebellar activation during P300, will predict memory and executive decline over the retest interval. Decline will also be predicted by 3) greater inter-hemispheric frontal connectivity in the theta band (conflict processing) and 4) less frontal-cerebellar delta connectivity (performance evaluation). DISCUSSION/SIGNIFICANCE: At most, ~50% of Îµ4 carriers will develop AD. Thus, identifying which carriers will decline is crucial to enabling successful, early intervention. Cerebellar dysfunction and impaired connectivity may be among the earliest indicators of incipient AD. Cutting-edge cerebellar EEG may enable an accessible option for early discernment of AD risk.

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Han, Kihwan, Sandra B. Chapman, and Daniel C. Krawczyk. "Disrupted Intrinsic Connectivity among Default, Dorsal Attention, and Frontoparietal Control Networks in Individuals with Chronic Traumatic Brain Injury." Journal of the International Neuropsychological Society 22, no. 2 (2016): 263–79. http://dx.doi.org/10.1017/s1355617715001393.

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AbstractObjectives:Individuals with chronic traumatic brain injury (TBI) often show detrimental deficits in higher order cognitive functions requiring coordination of multiple brain networks. Although assessing TBI-related deficits in higher order cognition in the context of network dysfunction is promising, few studies have systematically investigated altered interactions among multiple networks in chronic TBI.Method:We characterized disrupted resting-state functional connectivity of the default mode network (DMN), dorsal attention network (DAN), and frontoparietal control network (FPCN) whose interactions are required for internally and externally focused goal-directed cognition in chronic TBI. Specifically, we compared the network interactions of 40 chronic TBI individuals (8 years post-injury on average) with those of 17 healthy individuals matched for gender, age, and years of education.Results:The network-based statistic (NBS) on DMN-DAN-FPCN connectivity of these groups revealed statistically significant (pNBS<.05; |Z|>2.58) reductions in within-DMN, within-FPCN, DMN-DAN, and DMN-FPCN connectivity of the TBI group over healthy controls. Importantly, such disruptions occurred prominently in between-network connectivity. Subsequent analyses further exhibited the disrupted connectivity patterns of the chronic TBI group occurring preferentially in long-range and inter-hemispheric connectivity of DMN-DAN-FPCN. Most importantly, graph-theoretic analysis demonstrated relative reductions in global, local and cost efficiency (p<.05) as a consequence of the network disruption patterns in the TBI group.Conclusion:Our findings suggest that assessing multiple networks-of-interest simultaneously will allow us to better understand deficits in goal-directed cognition and other higher order cognitive phenomena in chronic TBI. Future research will be needed to better understand the behavioral consequences related to these network disruptions. (JINS, 2016,22, 263–279)

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