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The Feeling of Time Passing is Associated with Recurrent Sustained Activity and Theta Rhythms Across the Cortex. Brain Connect. (IF 3.4) Pub Date : 2023-11-29 Emma Millon,Ali Haddad,Han Yan M Chang,Laleh Najafizadeh,Tracey J Shors
INTRODUCTION We are constantly estimating how much time has passed, and yet know little about the brain mechanisms through which this process occurs. In this pilot study, we evaluated so-called "subjective time estimation" with the temporal bisection task, while recording brain activity from electroencephalography (EEG). METHOD Nine adult participants were trained to distinguish between two durations
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Attention Please! Unravelling the link between brain network connectivity and cognitive attention following acquired brain injury: A systematic review of structural and functional measures. Brain Connect. (IF 3.4) Pub Date : 2023-11-29 Athena Stein,Jacob R Thorstensen,Jonathan M Ho,Daniel P Ashley,Kartik K Iyer,Karen M Barlow
Traumatic brain injury (TBI) and stroke are the most common causes of acquired brain injury (ABI), annually affecting 69 million and 15 million people, respectively. Following ABI, the relationship between brain network disruption and common cognitive issues including attention dysfunction is heterogenous. We systematically reviewed 43 studies which reported correlations between attention and connectivity
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Alzheimer's Disease Is Associated with Increased Network Assortativity: Evidence from Metabolic Connectivity. Brain Connect. (IF 3.4) Pub Date : 2023-11-27 Sunil Kumar Khokhar,Manoj Kumar,Sandeep Kumar,Tejaswini Manae,Nithin Thanissery,Subasree Ramakrishnan,Faheem Arshad,Chandana Nagaraj,Sandhya Mangalore,Suvarna Alladi,Tapan K Gandhi,Rose Dawn Bharath
Introduction: Unraveling the network pathobiology in neurodegenerative disorders is a popular and promising field in research. We use a relatively newer network measure of assortativity in metabolic connectivity to understand network differences in patients with Alzheimer's Disease (AD), compared with those with mild cognitive impairment (MCI). Methods: Eighty-three demographically matched patients
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A blood-based lipid profile associated with hippocampal volume and brain resting state activation within obese adults from the UK Biobank. Brain Connect. (IF 3.4) Pub Date : 2023-11-06 Guocheng Jiang,Jennifer S Rabin,Sandra E Black,Walter Swardfager,Bradley J MacIntosh
OBJECTIVES Obesity and dyslipidemia may be associated with hippocampal alterations and may increase the risk of neurodegeneration. This study studied hippocampal anatomical and functional association with a lipid profile based on high-density lipoprotein, low-density lipoprotein, and triglyceride related to dyslipidemia in obese and non-obese adults. A whole-brain analysis was also conducted to examine
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A functional magnetic resonance imaging study using dynamic amplitude of low-frequency fluctuation to assess brain activity in patients with moyamoya disease. Brain Connect. (IF 3.4) Pub Date : 2023-11-06 Qian Wei,Yining Wang,Lijuan Zhang,Chenyu Yu,Huiye Shu,Xulin Liao,Sanhua Xu,Ting Su,Ming Kang,Yi Shao
Introduction:The purpose of this study was to monitor and record the dynamic brain activity of patients with moyamoya disease (MMD), as well as to study the relationship between brain abnormalities and presenting clinical features. Methods:A total of 16 patients with moyamoya disease (2 males and 14 females) were invited to participate in the study, as were healthy controls (HCs) with the same number
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Preserved White Matter Integrity and Recovery After Brain Tumor Surgery: A Prospective Pilot Study on the Frontal Aslant Tract. Brain Connect. (IF 3.4) Pub Date : 2023-10-19 Tim Wende,Anastasia Hoffmann,Cordula Scherlach,Johannes Kasper,Caroline Sander,Felix Arlt,Eric Dietel,Anika Stockert,Jürgen Meixensberger,Gordian Prasse
Introduction: Damage to white matter tracts can cause severe neurological deficits, which are often hardly predictable before brain tumor surgery. To explore the possibility of assessing white matter integrity and its preservation, we chose the frontal aslant tract (FAT) due to its involvement in multiple neurological functions such as speech and movement initiation. Methods: Right-handed patients
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Camouflage detection and its association with cognitive style: a functional connectivity study. Brain Connect. (IF 3.4) Pub Date : 2023-10-17 Deepak Sharma,Mini Sharma,Prabhjot Kaur,Soumi Awasthy,Shubham Kaushal,Maria D'souza,Ganesh Bagler,Shilpi Modi
Background: Individual differences exist in performance in tasks that require visual search, such as camouflage detection. Field Dependence/Independence (FD/I), as assessed using Group Embedded Figures Test (GEFT), is an extensively studied dimension of cognitive style that classifies participants based on their visual perceptual styles. Methods: In the present study, we utilized fMRI on 46 healthy
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Cognitive Outcomes Poststroke: A Need for Better Insights into Mechanisms. Brain Connect. (IF 3.4) Pub Date : 2023-09-29 Nagaendran Kandiah
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Characterization of Resting-State Functional Connectivity Changes in Hypertension by a Modified Difference Degree Test. Brain Connect. (IF 3.4) Pub Date : 2023-09-29 William D Reeves,Ishfaque Ahmed,Brooke S Jackson,Wenwu Sun,Michelle L Brown,Celestine F Williams,Catherine L Davis,Jennifer E McDowell,Nathan E Yanasak,Shaoyong Su,Qun Zhao
Introduction: Hypertension affects over a billion people worldwide, and the application of neuroimaging may elucidate changes brought about by the disease. We have applied a graph theory approach to examine the organizational differences in resting-state functional magnetic resonance imaging (rs-fMRI) data between hypertensive and normotensive participants. To detect these groupwise differences, we
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Investigating Habenula Functional Connectivity and Reward-Related Activity in Obesity Using Human Connectome Project Data. Brain Connect. (IF 3.4) Pub Date : 2023-09-21 Margo Slomp,Ilke G S de Lange,Joram D Mul,Anouk Schrantee,Susanne E la Fleur
Introduction: The habenula, a brain region involved in aversion, might negatively modulate caloric intake. Functional magnetic resonance imaging (fMRI) studies reported associations between weight loss and habenula functional connectivity. However, whether habenula resting-state functional connectivity (rsFC) and reward-related activity are altered in obesity is yet unknown. Methods: Using data from
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The Influence of Transcranial Magnetic Stimulation Interpulse Interval Duration on Knee Extensor Corticospinal Excitability. Brain Connect. (IF 3.4) Pub Date : 2023-09-21 Kevan S Knowles,Jonathan P Beausejour,Kylie K Harmon,Ryan M Girts,David H Fukuda,Dawson J Kidgell,Matt S Stock
Background/Purpose: To examine the influence of interpulse interval duration on knee extensor corticospinal excitability. Methods: Seventeen college-aged males and females participated in a single laboratory visit, during which 25 single transcranial magnetic stimulation pulses were delivered to the motor cortex with interpulse intervals of 5, 10, 15, and 20 sec. Surface electromyographic signals were
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Structural Network Topology Reveals Higher Brain Resilience in Individuals with Preclinical Alzheimer's Disease. Brain Connect. (IF 3.4) Pub Date : 2023-09-19 Qianyun Chen,Jill Abrigo,Min Deng,Lin Shi,Yi-Xiang Wang,Winnie C W Chu
Introduction: The diagnosis of Alzheimer's disease (AD) requires the presence of amyloid and tau pathology, but it remains unclear how they affect the structural network in the pre-clinical stage. We aimed to assess differences in topological properties in cognitively normal (CN) individuals with varying levels of amyloid and tau pathology, as well as their association with AD pathology burden. Methods:
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Alterations of Functional Connectivity in Autism and Attention-Deficit/Hyperactivity Disorder Revealed by Multi-Voxel Pattern Analysis. Brain Connect. (IF 3.4) Pub Date : 2023-08-22 Smitha Karavallil Achuthan,Despina Stavrinos,Haley B Holm,Sheeba Arnold Anteraper,Rajesh K Kana
Background: Autism and attention-deficit/hyperactivity disorder (ADHD) are comorbid neurodevelopmental disorders that share common and distinct neurobiological mechanisms, with disrupted brain connectivity patterns being a hallmark feature of both conditions. It is challenging to gain a mechanistic understanding of the underlying disorder, because brain connectivity changes in autism and ADHD are heterogeneous
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Brain Connectivity: A Journal of Clinical Neurology, Neuroscience, & Neuroimaging Advancing the Field of Neurology Advances in Alzheimer's Disease. Brain Connect. (IF 3.4) Pub Date : 2023-08-01 Paul Edison
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Effect of Extremely Preterm Birth on Adolescent Brain Network Organization. Brain Connect. (IF 3.4) Pub Date : 2023-07-24 M Fiona Molloy,Emily J Yu,Whitney I Mattson,Kristen R Hoskinson,H Gerry Taylor,David E Osher,Eric E Nelson,Zeynep M Saygin
Introduction: Extremely preterm (EPT) birth, defined as birth at a gestational age (GA) <28 weeks, can have a lasting impact on cognition throughout the life span. Previous investigations reveal differences in brain structure and connectivity between infants born preterm and full-term (FT), but how does preterm birth impact the adolescent connectome? Methods: In this study, we investigate how EPT birth
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Changes of Functional Brain Network in Neonates with Different Degrees of Hypoxic-Ischemic Encephalopathy. Brain Connect. (IF 3.4) Pub Date : 2023-07-26 Yingying Wang,Yi Wang,Guowei Hua,Min Yu,Lu Lin,Lichi Zhang,Hongxin Li
Background: Neonatal hypoxic-ischemic encephalopathy (HIE) is the main cause of neonatal death and disability worldwide. At present, there are few researches on the application of resting-state functional magnetic resonance imaging (rs-fMRI) to explore the brain development of HIE children. This study aimed to explore the changes of brain function in neonates with different degrees of HIE using rs-fMRI
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Intracranial Atherosclerotic Stenosis Is Associated with Cognitive Impairment in Patients with Nondisabling Ischemic Stroke: A pCASL-Based Study. Brain Connect. (IF 3.4) Pub Date : 2023-07-24 Baogen Du,Pan Wu,Shanshan Yin,Shanshan Cao,Yuting Mo,Yuanyuan Liu,Ying Zhang,Bensheng Qiu,Xingqi Wu,Panpan Hu,Ling Wei,Kai Wang,Qiang Wei
Background: Intracranial atherosclerotic stenosis (ICAS) is a key risk factor for vascular cognitive impairment. Cerebral blood flow (CBF) and the spatial coefficient of variation (sCoV) of CBF images (based on pseudocontinuous arterial spin labeling) are used to explore abnormal cerebral perfusion. We aimed to probe the mechanisms underlying cognitive impairment in patients with nondisabling anterior
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Neurobiological Dysfunctional Substrates for the Self-Medication Hypothesis in Adult Individuals with Attention-Deficit Hyperactivity Disorder and Cocaine Use Disorder: A Fluorine-18-Fluorodeoxyglucose Positron Emission Tomography Study. Brain Connect. (IF 3.4) Pub Date : 2023-05-29 Giulia Carli,Marco Cavicchioli,Anna Lisa Martini,Matteo Bruscoli,Antonella Manfredi,Luca Presotto,Christian Mazzeo,Stelvio Sestini,Daniela Perani
Objectives: Attention-deficit hyperactivity disorder (ADHD) in adulthood shows high co-occurrence rates with cocaine use disorder (CoUD). The self-medication hypothesis (SMH) provides a theoretical explanation for this comorbidity. This study investigates the neurobiological mechanisms that could support SMH in adult patients with attention-deficit hyperactivity disorder with cocaine use disorder (ADHD-CoUD)
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Resting-State Connectivity in Acute and Subacute Poststroke Aphasia: A Functional Near-Infrared Spectroscopy Pilot Study. Brain Connect. (IF 3.4) Pub Date : 2023-05-15 Erin L Meier,Lisa D Bunker,Hana Kim,Argye E Hillis
Background: Understanding how brain function and language skills change during early (acute and subacute) stroke phases is critical for maximizing patient recovery, yet functional neuroimaging studies of early aphasia are scarce. In this pilot study, we used functional near-infrared spectroscopy (fNIRS) to investigate how resting-state functional connectivity (rs-FC) in early aphasia differs from neurologically
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Mass Spectrometry Imaging in Alzheimer's Disease. Brain Connect. (IF 3.4) Pub Date : 2023-04-24 Masaya Ikegawa,Nobuto Kakuda,Tomohiro Miyasaka,Yumiko Toyama,Takashi Nirasawa,Karolina Minta,Jörg Hanrieder
Introduction: Amyloid-beta (Aβ) pathology is the precipitating histopathological characteristic of Alzheimer's disease (AD). Although the formation of amyloid plaques in human brains is suggested to be a key factor in initiating AD pathogenesis, it is still not fully understood the upstream events that lead to Aβ plaque formation and its metabolism inside the brains. Methods: Matrix-assisted laser
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Mechanisms of 1 Hz Inhibitory and 5 Hz Excitatory Repetitive Transcranial Magnetic Stimulations in Parkinson's Disease: A Functional Magnetic Resonance Imaging Study. Brain Connect. (IF 3.4) Pub Date : 2023-04-04 Priyanka Bhat,Vinay Goyal,S Senthil Kumaran,Achal K Srivastava,Madhuri Behari,Sada Nand Dwivedi
Background: Parkinson's disease (PD) is a progressive disorder with alterations in cortical functional activity. Transcranial magnetic stimulation is known to incur motor benefits in PD by inducing motor activity through cortical connectivity, although the mechanisms are unclear. Objective: The effects of repetitive transcranial magnetic stimulation (rTMS) (at three cortical sites) on functional and
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Stimulation of the Premotor Cortex Enhances Interhemispheric Functional Connectivity in Association with Upper Limb Motor Recovery in Moderate-to-Severe Chronic Stroke. Brain Connect. (IF 3.4) Pub Date : 2023-04-10 Robert H Unger,Mark J Lowe,Erik B Beall,Francois Bethoux,Stephen E Jones,Andre G Machado,Ela B Plow,David A Cunningham
Background: Transcranial direct current stimulation (tDCS) targeting the primary motor cortex is modestly effective for promoting upper-limb motor function following stroke. The premotor cortex (PMC) represents an alternative target based on its higher likelihood of survival and dense motor-network connections. Objective: The objective of this study was to determine whether ipsilesional PMC tDCS affects
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Comparison of Anatomical Pathway Models with Tractography Estimates of the Pallidothalamic, Cerebellothalamic, and Corticospinal Tracts. Brain Connect. (IF 3.4) Pub Date : 2023-03-24 Mikkel V Petersen,Cameron C McIntyre
Introduction: Models of structural connectivity in the human brain are typically simulated using tractographic approaches. However, the nonlinear fitting of anatomical pathway atlases to de novo subject brains represents a simpler alternative that is hypothesized to provide more anatomically realistic results. Therefore, the goal of this study was to perform a side-by-side comparison of the streamline
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European Working Group on SARS-CoV-2: Current Understanding, Unknowns, and Recommendations on the Neurological Complications of COVID-19. Brain Connect. (IF 3.4) Pub Date : 2023-01-31 Mr. Harry Crook, Prof. Alfredo Ramirez, Dr. Akram A. Hosseini, Dr. Georgios Vavougyios, Prof. Clara Lehmann, Prof. Judith Bruchfeld, Prof. Anja Schneider, Dr. Giovanni d'Avossa, Dr. Vincenzina Lo Re, Dr. Alberto Salmoiraghi, Prof. Elizabeta Mukaetova-Ladinska, Prof. Mohammad Katshu, Prof. Filippo M Boneschi, Dr. Krister Håkansson, Dr. Mirjam Geerlings, Dr. Elisabeth Pracht, Prof. Agustín Ruiz, Prof
The emergence of COVID-19 was rapidly followed by infection and the deaths of millions of people across the globe. With much of the research and scientific advancement rightly focused on reducing the burden of severe and critical acute COVID-19 infection, the long-term effects endured by those who survived the acute infection has been previously overlooked. Now, an appreciation for the post-COVID-19
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Gender differences in dynamic functional network connectivity in pediatric and adult patients with attention deficit hyperactivity disorder Brain Connect. (IF 3.4) Pub Date : 2023-01-31 Mr. Elijah Agoalikum, Dr. Benjamin Klugah-Brown, Mr. Hongzhou Wu, Mr. Junlin Jing, Dr. Bharat B. Biswal
ADHD persistence into adulthood depends on gender, with 60% female and 35% male cases. This study sought to investigate gender differences in dynamic functional network connectivity (dFNC) using resting-state functional magnetic resonance imaging (rs-fMRI) data of pediatric ADHD patients (female: N=24; 11.02 ± 2.60 years, male: N=20;11.87 ± 2.62 years) and adult ADHD patients (female=19; 31.11 ± 10
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Functional Network Alterations Associated with Cognition in Preclinical Alzheimer’s Disease Brain Connect. (IF 3.4) Pub Date : 2023-01-06 Dr. Stephanie Fountain-Zaragoza, Dr. Hesheng Liu, Dr. Andreana Benitez
Objective: Accumulation of cerebral amyloid-β (Aβ) is a risk factor for cognitive decline and defining feature of Alzheimer’s disease (AD). Aβ is implicated in brain network disruption, but the extent to which these changes correspond with observable cognitive deficits in preclinical AD has not been tested. This study utilized individual-specific functional parcellations to sensitively evaluate the
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Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation Brain Connect. (IF 3.4) Pub Date : 2022-12-21 Marilena M. DeMayo, Jinglei Lv, Shantel L. Duffy, Arkiev D'Souza, Loren Mowszowski, Sharon L. Naismith, Fernando Calamante
Background: In older people with mild cognitive impairment (MCI), the relationship between early changes in functional connectivity and in vivo changes in key neurometabolites is not known. Two established correlates of MCI diagnosis are decreased N-acetylaspartate (NAA) in the hippocampus, indicative of decreased neuronal integrity, and changes in the default mode network (DMN) functional network
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Connectivity Between Salience and Default Mode Networks and Subcortical Nodes Distinguishes Between Two Classes of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Jiasheng Su, Kiran Thapaliya, Natalie Eaton-Fitch, Sonya Marshall-Gradisnik, Leighton Barnden
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease with unknown pathophysiology. Functional magnetic resonance imaging (fMRI) studies in ME/CFS have reported disparate connectivities for the brain salience (SA) network and default mode network (DMN).
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Interictal Functional Connectivity in Focal Refractory Epilepsies Investigated by Intracranial EEG Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Stanislas Lagarde, Christian-G. Bénar, Fabrice Wendling, Fabrice Bartolomei
Introduction: Focal epilepsies are diseases of neuronal excitability affecting macroscopic networks of cortical and subcortical neural structures. These networks (“epileptogenic networks”) can generate pathological electrophysiological activities during seizures, and also between seizures (interictal period). Many works attempt to describe these networks by using quantification methods, particularly
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Variability in Resting-State Functional Magnetic Resonance Imaging: The Effect of Body Mass, Blood Pressure, Hematocrit, and Glycated Hemoglobin on Hemodynamic and Neuronal Parameters Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Guro Stensby Sjuls, Karsten Specht
Introduction: Replicability has become an increasing focus within the scientific communities with the ongoing “replication crisis.” One area that appears to struggle with unreliable results is resting-state functional magnetic resonance imaging (rs-fMRI). Therefore, the current study aimed at improving the knowledge of endogenous factors that contribute to inter-individual variability.
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Screening of Brain Tumors Using Functional Connectivity Patterns of Steady-State Visually Evoked Potentials Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Zahra Tabanfar, Mohammad Firoozabadi, Zeinab Shankayi, Guive Sharifi
Objective: The irregular growth and proliferation of cells in the brain and skull is named brain tumor, which is a special serious type of tumor due to its location. Nowadays, brain tumor is diagnosed by using imaging techniques such as computed tomography, positron emission tomography, single photon emission computed tomography, infrared imaging, magnetic resonance imaging (MRI), and functional MRI
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Interhemispheric Connectivity Supports Load-Dependent Working Memory Maintenance for Complex Visual Stimuli Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Chelsea Reichert Plaska, Jefferson Ortega, Bernard A. Gomes, Timothy M. Ellmore
Introduction: One manipulation used to study the neural basis of working memory (WM) is to vary the information load at encoding, then measure activity and connectivity during maintenance in the delay period. A hallmark finding is increased delay activity and connectivity between frontoparietal brain regions with increased load. Most WM studies, however, employ simple stimuli during encoding and unfilled
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Connections of the Dentate Nucleus with the Amygdala: Experimental Rat and Human 3-Tesla Tractography Study Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Safiye Çavdar, Yasin Celal Güneş, Oktay Algın
Background: The role of the cerebellum in motor function is well recognized. However, its role in higher nervous system activities such as cognition, emotion, endocrine, and autonomic activities is less known. The present study aims to show direct dento-amygdala projections using a biotinylated dextran amine (BDA) tracer in rats and 3-tesla (T) high-resolution diffusion tensor imaging (DTI)-based tractography
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Network Centrality and Modularity of Structural Covariance Networks in Posttraumatic Stress Disorder: A Multisite ENIGMA-PGC Study Brain Connect. (IF 3.4) Pub Date : 2022-12-13 Dr. Gopalkumar Rakesh, Dr. Mark Logue, Ms. Emily Clarke-Rubright, Ms. Courtney Haswell, Dr. Paul Thompson, Dr. Michael DeBellis, Dr. Rajendra Morey, Dr. Delin Sun
Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) are represented as graphs with brain regions as nodes and correlations between nodes as edges. Methods - We built SCNs for PTSD and control groups using 148 CT and SA measures that were harmonized for site in n=3439
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A novel hidden Markov approach to studying dynamic functional connectivity states in human neuroimaging Brain Connect. (IF 3.4) Pub Date : 2022-11-11 Ms. Sana Hussain, Dr. Jason Langley, Dr. Aaron Seitz, Dr. Xiaoping P. Hu, Dr. Megan Peters
Introduction. Hidden Markov models are a popular choice to extract and examine recurring patterns of activity or functional connectivity in neuroimaging data, both in terms of spatial patterns and their temporal progression. Although many diverse hidden Markov models have been applied to neuroimaging data, most have defined states based on activity levels (intensity-based states) rather than patterns
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Functional Connectome Analysis in Mild Cognitive Impairment: Comparing Alzheimer's Disease Continuum and Suspected Non-Alzheimer Pathology Brain Connect. (IF 3.4) Pub Date : 2022-11-10 Rafael Brandes Lourenço, Brunno Machado de Campos, Liara Rizzi, Milene Sakzenian de Souza, Orestes Vicente Forlenza, Helena Giroud Joaquim, Leda Leme Talib, Fernando Cendes, Marcio Luiz Figueredo Balthazar
Introduction: Research in brain resting-state functional connectivity (FC) analysis in mild cognitive impairment (MCI) has conflicting results. This work intends to find differences in resting-state FC of 2 groups of MCI subjects due to Alzheimer's disease (MCI-AD) continuum or to suspected non-Alzheimer pathology (MCI-SNAP).
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Brain Network Connectivity and Executive Function in Children with Infantile Hydrocephalus Brain Connect. (IF 3.4) Pub Date : 2022-11-10 Ramina Adam, Daamoon Ghahari, J. Bruce Morton, Roy Eagleson, Sandrine de Ribaupierre
Introduction: Infantile hydrocephalus (HCP) is a condition in which there is an abnormal buildup of cerebrospinal fluid in the ventricles within the first few months of life, which puts pressure on surrounding brain tissues. Compression of the developing brain increases the risk of secondary brain injury and cognitive disabilities.
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Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury Brain Connect. (IF 3.4) Pub Date : 2022-11-10 Johan Nakuci, Matthew McGuire, Ferdinand Schweser, David Poulsen, Sarah F. Muldoon
Background: Traumatic brain injury (TBI) damages white matter tracts, disrupting brain network structure and communication. There exists a wide heterogeneity in the pattern of structural damage associated with injury, as well as a large heterogeneity in behavioral outcomes. However, little is known about the relationship between changes in network connectivity and clinical outcomes.
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Nx4 Modulated Resting-State Functional Connectivity Between Amygdala and Prefrontal Cortex in a Placebo-Controlled, Crossover Trial Brain Connect. (IF 3.4) Pub Date : 2022-11-10 Tara Chand, Sarah Alizadeh, Meng Li, Yan Fan, Hamidreza Jamalabadi, Lena Danyeli, Melanni Nanni-Zepeda, Luisa Herrmann, Johan Van der Meer, Johannes C. Vester, Myron Schultz, Britta Naschold, Martin Walter
Background: The basic functional organization of the resting brain, assessed as resting-state functional connectivity (rsFC), can be affected by previous stress experience and it represents the basis on which subsequent stress experience develops. Notably, the rsFC between the amygdala and the cortical regions associated with emotion regulation and anxiety are affected during stress. The multicomponent
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Topological Alteration Is Associated with Non-dependent Alcohol Use in Bipolar Disorder Brain Connect. (IF 3.4) Pub Date : 2022-11-09 Fiona M. Martyn, Leila Nabulsi, Genevieve McPhilemy, Stefani O'Donoghue, Liam Kilmartin, Brian Hallahan, Colm McDonald, Dara M. Cannon
Introduction: Structural alterations in cortical thickness and the microstructural organization of white matter are independently associated with non-dependent alcohol consumption and bipolar disorder (BD). Identifying their interactive and network-level effects on brain topology may identify the impact of alcohol on reward and emotion circuitry, and its contribution to relapse in BD.
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Cross-Scale Dynamicity of Entropy and Connectivity in the Sleeping Brain Brain Connect. (IF 3.4) Pub Date : 2022-11-10 Yi-Chia Kung, Chia-Wei Li, Fan-Chi Hsiao, Pei-Jung Tsai, Shuo Chen, Ming-Kang Li, Hsin-Chien Lee, Chun-Yen Chang, Changwei W. Wu, Ching-Po Lin
Introduction: The concept of local sleep refers to the phenomenon of local brain activity that modifies neural networks during unresponsive global sleep. Such network rewiring may differ across spatial scales; however, the global and local alterations in brain systems remain elusive in human sleep.
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Predicting Antidepressant Treatment Response Using Functional Brain Controllability Analysis Brain Connect. (IF 3.4) Pub Date : 2022-11-09 Mr. Feng Fang, Dr. Beata Godlewska, Dr. Sudhakar Selvaraj, Dr. Yingchun Zhang
Introduction: For decades, predicting response to the antidepressant medication has been a critical unmet need in depression treatment in clinic, and a technical challenge in depression research. Methods: In this study, a recently developed functional brain network controllability (fBNC) analysis approach was employed to identify the antidepressant treatment responders and non-responders from depression
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BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping Brain Connect. (IF 3.4) Pub Date : 2022-11-04 Kevin P. Nguyen, Vyom Raval, Abu Minhajuddin, Thomas Carmody, Madhukar H. Trivedi, Richard B. Dewey Jr., Albert A. Montillo
Introduction: Data augmentation improves the accuracy of deep learning models when training data are scarce by synthesizing additional samples. This work addresses the lack of validated augmentation methods specific for synthesizing anatomically realistic four-dimensional (4D) (three-dimensional [3D] + time) images for neuroimaging, such as functional magnetic resonance imaging (fMRI), by proposing
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Brain Network Analysis: A Review on Multivariate Analytical Methods Brain Connect. (IF 3.4) Pub Date : 2022-10-31 Mohsen Bahrami, Paul J. Laurienti, Heather M. Shappell, Sean L. Simpson
Despite the explosive growth of neuroimaging studies aimed at analyzing the brain as a complex system, critical methodological gaps remain to be addressed. Most tools currently used for analyzing network data of the brain are univariate in nature and are based on assumptions borne out of previous techniques not directly related to the big and complex data of the brain. Although graph-based methods
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Call for Special Issue Papers: Stroke and Vascular Cognitive Impairment. Brain Connect. (IF 3.4) Pub Date : 2022-10-31 Nagaendran Kandiah
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Relating Cognition to both Brain Structure and Function: A Systematic Review of Methods Brain Connect. (IF 3.4) Pub Date : 2022-10-20 Marta Czime Litwińczuk, Nelson Trujillo-Barreto, Nils Muhlert, Lauren Cloutman, Anna Woollams
Introduction: Cognitive neuroscience explores the mechanisms of cognition by studying its structural and functional brain correlates. Many studies have combined structural and functional neuroimaging techniques to uncover the complex relationship between them. In this study, we report the first systematic review that assesses how information from structural and functional neuroimaging methods can be
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Reduced Segregation of Brain Networks in Spatial Neglect After Stroke Brain Connect. (IF 3.4) Pub Date : 2022-10-19 Sara Spadone, Francesco de Pasquale, Piero Chiacchiaretta, Luigi Pavone, Paolo Capotosto, Stefano Delli Pizzi, Anna Digiovanni, Stefano L. Sensi, Giorgia Committeri, Antonello Baldassarre
Background/Purpose: To investigate the association between the degree of spatial neglect and the changes of brain system segregation (SyS; i.e., the ratio of the extent to which brain networks interact internally and with each other) after stroke.
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Longitudinal Resting-State Functional Magnetic Resonance Imaging Study: A Seed-Based Connectivity Biomarker in Patients with Ischemic and Intracerebral Hemorrhage Stroke Brain Connect. (IF 3.4) Pub Date : 2022-10-18 Seth B. Boren, Sean I. Savitz, Timothy M. Ellmore, Octavio D. Arevalo, Jaroslaw Aronowski, Christin Silos, Sarah George, Muhammad E. Haque
Objective: The primary aim of the research was to compare the impact of postischemic and hemorrhagic stroke on brain connectivity and recovery using resting-state functional magnetic resonance imaging.
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Default-Mode Network Connectivity Changes During the Progression Toward Alzheimer's Dementia: A Longitudinal Functional Magnetic Resonance Imaging Study Brain Connect. (IF 3.4) Pub Date : 2022-10-10 Vincent Malotaux, Laurence Dricot, Lisa Quenon, Renaud Lhommel, Adrian Ivanoiu, Bernard Hanseeuw
Background/Purpose: Brain function changes with Alzheimer's disease (AD) progression. Evaluating those changes longitudinally is important to understand the complex relationships between brain pathologies and cognition. We aimed (1) to identify longitudinal changes in functional connectivity in patients with mild cognitive impairment (MCI) characterized for amyloid-β (Aβ) status and (2) to relate these
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Reduction of Motion Artifacts in Functional Connectivity Resulting from Infrequent Large Motion Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Rasmus M. Birn, Douglas C. Dean III, William Wooten, Elizabeth M. Planalp, Steven Kecskemeti, Andrew L. Alexander, H. Hill Goldsmith, Richard J. Davidson
Introduction: Subject head motion is an ongoing challenge in functional magnetic resonance imaging, particularly in the estimation of functional connectivity. Infants (1-month old) scanned during nonsedated sleep often have occasional but large movements of several millimeters separated by periods with relatively little movement. This results in residual signal changes even after image realignment
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Age-Related Differences of Frequency-Dependent Functional Connectivity in Brain Networks and Their Link to Motor Performance Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Jessica Samogin, Laura Rueda Delgado, Gaia Amaranta Taberna, Stephan P. Swinnen, Dante Mantini
Background: Aging affects the brain at the anatomical and functional levels, resulting in a decline in motor and cognitive performance. Functional magnetic resonance imaging (fMRI) studies documented lower connectivity within brain networks and higher connectivity between them, for older as compared with young adults. However, it is still unclear whether the reduced segregation between networks, as
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Adaptive and Maladaptive Brain Functional Network Reorganization After Stroke in Hemianopia Patients: An Electroencephalogram-Tracking Study Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Jiahua Xu, Mircea Ariel Schoenfeld, Paolo M. Rossini, Turgut Tatlisumak, Andreas Nürnberger, Andrea Antal, Huiguang He, Ying Gao, Bernhard A. Sabel
Objective: Hemianopia after occipital stroke is believed to be mainly due to local damage at or near the lesion site. However, magnetic resonance imaging studies suggest functional connectivity network (FCN) reorganization also in distant brain regions. Because it is unclear whether reorganization is adaptive or maladaptive, compensating for, or aggravating vision loss, we characterized FCNs electrophysiologically
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Brain Connectivity Changes in Postconcussion Syndrome as the Neural Substrate of a Heterogeneous Syndrome Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Melisa Gumus, Michael L. Mack, Robin Green, Mozhgan Khodadadi, Richard A. Wennberg, Adrian Crawley, Brenda Colella, Apameh Tarazi, David Mikulis, Charles H. Tator, Maria Carmela Tartaglia
Background: Postconcussion syndrome (PCS) or persistent symptoms of concussion refers to a constellation of symptoms that persist for weeks and months after a concussion. To better capture the heterogeneity of the symptoms of patients with PCS, we aimed to separate patients into clinical subtypes based on brain connectivity changes.
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Predicting Treatment Selections for Individuals with Major Depressive Disorder According to Functional Connectivity Subgroups Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Xinyi Wang, Jiaolong Qin, Rongxin Zhu, Siqi Zhang, Shui Tian, Yurong Sun, Qiang Wang, Peng Zhao, Hao Tang, Li Wang, Tianmei Si, Zhijian Yao, Qing Lu
Background: Major depressive disorder (MDD) is a highly prevalent and disabling disease. Currently, patients’ treatment choices depend on their clinical symptoms observed by clinicians, which are subjective. Rich evidence suggests that different functional networks’ dysfunctions correspond to different intervention preferences. In this study, we aimed to develop a prediction model based on data-driven
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Structural Brain Network Reproducibility: Influence of Different Diffusion Acquisition and Tractography Reconstruction Schemes on Graph Metrics Brain Connect. (IF 3.4) Pub Date : 2022-10-12 Pasquale Borrelli, Carlo Cavaliere, Marco Salvatore, Jorge Jovicich, Marco Aiello
Background: Graph metrics of structural brain networks demonstrate to be a powerful tool for investigating brain topology at a large scale. However, the variability of the results related to applying different magnetic resonance acquisition schemes and tractography reconstruction techniques is not fully characterized.
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Correlative Chemical Imaging Identifies Amyloid Peptide Signatures of Neuritic Plaques and Dystrophy in Human Sporadic Alzheimer's Disease Brain Connect. (IF 3.4) Pub Date : 2022-10-07 Srinivas Koutarapu, Junyue Ge, Durga Jha, Kaj Blennow, Henrik Zetterberg, Tammaryn Lashley, Wojciech Michno, Jörg Hanrieder
Objective: Alzheimer's disease (AD) is the most common neurodegenerative disease. The predominantly sporadic form of AD is age-related, but the underlying pathogenic mechanisms remain not fully understood. Current efforts to combat the disease focus on the main pathological hallmarks, in particular beta-amyloid (Aβ) plaque pathology. According to the amyloid cascade hypothesis, Aβ is the critical early
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Upper-Limb Amputation Disrupts the Interhemispheric Structural Rather than Functional Connectivity Brain Connect. (IF 3.4) Pub Date : 2022-09-29 Kexu Zhang, Chaowei Wu, Yuanyuan Lyu, Jianbo Xiang, Changjie Pan, Xiaoli Guo, Shanbao Tong
Background: Recent neuroimaging studies on upper-limb amputation have revealed the reorganization of bilateral sensorimotor cortex after sensory deprivation, underpinning the assumption of changes in the interhemispheric connections. In the present study, using functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), we aim to explore the alterations in the interhemispheric
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Enhanced Dorsal Attention Network to Salience Network Interaction in Video Gamers During Sensorimotor Decision-Making Tasks Brain Connect. (IF 3.4) Pub Date : 2022-09-27 Timothy Jordan, Mukesh Dhamala
Introduction: Video game playing is most often a perceptually and cognitively engaging activity. Players enter into sensory-rich competitive environments, which require them to go from trivial tasks to making active decisions repeatedly and could lend themselves to improve sensorimotor decision-making capabilities. Since video game playing requires moment-to-moment switching of attention from one aspect
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Resting-State Functional Connectivity in Relapsing-Remitting Multiple Sclerosis with Mild Disability: A Data-Driven, Whole-Brain Multivoxel Pattern Analysis Study Brain Connect. (IF 3.4) Pub Date : 2022-09-19 Gowthami Nair, Sruthi S. Nair, Karumattu Manattu Arun, Paul Camacho, Elshal Bava, Priya Ajayaghosh, Ramshekhar N. Menon, Muralidharan Nair, Chandrasekharan Kesavadas, Sheeba Arnold Anteraper
Background: Multivoxel pattern analysis (MVPA) has emerged as a powerful unbiased approach for generating seed regions of interest (ROIs) in resting-state functional connectivity (RSFC) analysis in a data-driven manner. Studies exploring RSFC in multiple sclerosis have produced diverse and often incongruent results.