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https://read.qxmd.com/read/30793079/accelerated-intermittent-theta-burst-stimulation-in-major-depression-induces-decreases-in-modularity-a-connectome-analysis
#1
Karen Caeyenberghs, Romain Duprat, Alexander Leemans, Hadi Hosseini, Peter H Wilson, Debby Klooster, Chris Baeken
Accelerated intermittent theta burst stimulation (aiTBS) is a noninvasive neurostimulation technique that shows promise for improving clinical outcome in patients suffering from treatment-resistant depression (TRD). Although it has been suggested that aiTBS may evoke beneficial neuroplasticity effects in neuronal circuits, the effects of aiTBS on brain networks have not been investigated until now. Fifty TRD patients were enrolled in a randomized double-blind sham-controlled crossover trial involving aiTBS, applied to the left dorsolateral prefrontal cortex...
2019: Network Neuroscience
https://read.qxmd.com/read/30772280/altered-functional-network-topology-correlates-with-clinical-measures-in-very-early-stage-drug-na%C3%A3-ve-parkinson-s-disease
#2
Karthik Sreenivasan, Virendra Mishra, Christopher Bird, Xiaowei Zhuang, Zhengshi Yang, Dietmar Cordes, Ryan R Walsh
INTRODUCTION: The aim of the study was to identify abnormalities of whole-brain network functional organization and their relation to clinical measures in a well-characterized, multi-site cohort of very early-stage, drug-naïve Parkinson's Disease (PD) patients. METHODS: Functional-MRI data for 16 healthy controls and 20 very early-stage, drug-naïve patients with PD were obtained from the Parkinson's Progression Markers Initiative database after controlling for strict inclusion/exclusion imaging criteria...
February 7, 2019: Parkinsonism & related Disorders
https://read.qxmd.com/read/30760808/basic-units-of-inter-individual-variation-in-resting-state-connectomes
#3
Chandra Sripada, Mike Angstadt, Saige Rutherford, Daniel Kessler, Yura Kim, Mike Yee, Elizaveta Levina
Resting state functional connectomes are massive and complex. It is an open question, however, whether connectomes differ across individuals in a correspondingly massive number of ways, or whether most differences take a small number of characteristic forms. We systematically investigated this question and found clear evidence of low-rank structure in which a modest number of connectomic components, around 50-150, account for a sizable portion of inter-individual connectomic variation. This number was convergently arrived at with multiple methods including estimation of intrinsic dimensionality and assessment of reconstruction of out-of-sample data...
February 13, 2019: Scientific Reports
https://read.qxmd.com/read/30755585/development-of-frontoparietal-connectivity-predicts-longitudinal-symptom-changes-in-young-people-with-autism-spectrum-disorder
#4
Hsiang-Yuan Lin, Alistair Perry, Luca Cocchi, James A Roberts, Wen-Yih Isaac Tseng, Michael Breakspear, Susan Shur-Fen Gau
Structural neuroimaging studies suggest altered brain maturation in autism spectrum disorder (ASD) compared with typically developing controls (TDC). However, the prognostic value of whole-brain structural connectivity analysis in ASD has not been established. Diffusion magnetic imaging data were acquired in 27 high-functioning young ASD participants (2 females) and 29 age-matched TDC (12 females; age 8-18 years) at baseline and again following 3-7 years. Whole-brain structural connectomes were reconstructed from these data and analyzed using a longitudinal statistical model...
February 12, 2019: Translational Psychiatry
https://read.qxmd.com/read/30718455/brain-connectivity-alterations-in-early-psychosis-from-clinical-to-neuroimaging-staging
#5
Alessandra Griffa, Philipp S Baumann, Paul Klauser, Emeline Mullier, Martine Cleusix, Raoul Jenni, Martijn P van den Heuvel, Kim Q Do, Philippe Conus, Patric Hagmann
Early in the course of psychosis, alterations in brain connectivity accompany the emergence of psychiatric symptoms and cognitive impairments, including processing speed. The clinical-staging model is a refined form of diagnosis that places the patient along a continuum of illness conditions, which allows stage-specific interventions with the potential of improving patient care and outcome. This cross-sectional study investigates brain connectivity features that characterize the clinical stages following a first psychotic episode...
February 4, 2019: Translational Psychiatry
https://read.qxmd.com/read/30717612/multiple-approaches-to-diffusion-magnetic-resonance-imaging-in-hereditary-cerebral-amyloid-angiopathy-mutation-carriers
#6
Tijn M Schouten, Frank de Vos, Sanneke van Rooden, Mark J R J Bouts, Anna M van Opstal, Rogier A Feis, Gisela M Terwindt, Marieke J H Wermer, Mark A van Buchem, Steven M Greenberg, Mark de Rooij, Serge A R B Rombouts, Jeroen van der Grond
Background Cerebral amyloid angiopathy ( CAA ) is a major cause of lobar intracerebral hemorrhage in elderly adults; however, presymptomatic diagnosis of CAA is difficult. Hereditary cerebral hemorrhage with amyloidosis-Dutch type ( HCHWA -D) is a rare autosomal-dominant disease that leads to pathology similar to sporadic CAA . Presymptomatic HCHWA -D mutation carriers provide a unique opportunity to study CAA -related changes before any symptoms have occurred. In this study we investigated early CAA -related alterations in the white matter...
February 5, 2019: Journal of the American Heart Association
https://read.qxmd.com/read/30630078/individual-variation-in-brain-network-topology-is-linked-to-emotional-intelligence
#7
George Ling, Ivy Lee, Synthia Guimond, Olivia Lutz, Neeraj Tandon, Uzma Nawaz, Dost Öngür, Shaun Eack, Kathryn Lewandowski, Matcheri Keshavan, Roscoe Brady
BACKGROUND: Social cognitive ability is a significant determinant of functional outcome, and deficits in social cognition are a disabling symptom of psychotic disorders. The neurobiological underpinnings of social cognition are not well understood, hampering our ability to ameliorate these deficits. OBJECTIVE: Using 'resting state' functional magnetic resonance imaging (rsfMRI) and a trans-diagnostic, data-driven analytic strategy, we sought to identify the brain network basis of emotional intelligence, a key domain of social cognition...
January 7, 2019: NeuroImage
https://read.qxmd.com/read/30599452/precuneus-and-psychiatric-manifestations-novel-neurobiological-formulations-through-lesion-based-connectivity-mapping-of-psychopathology
#8
Venkata Lakshmi Narasimha, Rakshathi Basavaraju, Sandhya Mangalore, Urvakhsh Meherwan Mehta
Lesion-based investigations of psychopathology have preceded contemporary network-neuroscience initiatives. However, brain-lesions detected in routine psychiatric practice are often considered incidental and therefore ignored. Here, we illustrate a strategy to combine individual subject-level lesion information with open-source normative functional-connectomics data to make putative, neuroscience-informed symptom interpretation. Specifically, we report a patient with left precuneus granulomatous lesion and seizures followed by two distinct symptoms - kinetopsia and delusions of nihilism and guilt - which had a differential treatment response...
December 27, 2018: Asian Journal of Psychiatry
https://read.qxmd.com/read/30589303/personality-traits-share-overlapping-neuroanatomical-correlates-with-internalizing-and-externalizing-psychopathology
#9
Courtland S Hyatt, Max M Owens, Joshua C Gray, Nathan T Carter, James MacKillop, Lawrence H Sweet, Joshua D Miller
Although personality traits have been linked to internalizing and externalizing psychopathology, the extent to which these traits and psychopathological phenotypes share a common neuroanatomical structure is unclear. To address this gap, we used structural neuroimaging and self-report data from 1101 participants in the Human Connectome Project to generate neuroanatomical profiles (NAPs) of FFM traits and psychopathology indices composed of the thickness, surface area, and gray matter volume of each region in the Desikan atlas, then used a profile matching approach to compare the absolute similarity of the FFM trait NAPs and psychopathology index NAPs...
January 2019: Journal of Abnormal Psychology
https://read.qxmd.com/read/30575457/mapping-symptoms-to-brain-networks-with-the-human-connectome
#10
REVIEW
Michael D Fox
New England Journal of Medicine, Volume 379, Issue 23, Page 2237-2245, December 2018.
December 6, 2018: New England Journal of Medicine
https://read.qxmd.com/read/30552481/altered-structural-connectivity-of-the-motor-subnetwork-in-multiple-system-atrophy-with-cerebellar-features
#11
Apurva Shah, Shweta Prasad, Bharti Rastogi, Santosh Dash, Jitender Saini, Pramod Kumar Pal, Madhura Ingalhalikar
OBJECTIVES: To investigate the structural connectivity of the motor subnetwork in multiple system atrophy with cerebellar features (MSA-C), a distinct subtype of MSA, characterized by predominant cerebellar symptoms. METHODS: Twenty-three patients with MSA-C and 25 age- and gender-matched healthy controls were recruited for the study. Disease severity was quantified using the Unified Multiple System Atrophy Rating Scale (UMSARS). Diffusion MRI images were acquired and used to compute the structural connectomes (SCs) using probabilistic fiber tracking...
December 14, 2018: European Radiology
https://read.qxmd.com/read/30551186/network-localization-of-heterogeneous-neuroimaging-findings
#12
R Ryan Darby, Juho Joutsa, Michael D Fox
Studies of the same disease often implicate different brain regions, contributing to a perceived reproducibility crisis in neuroimaging. Here, we leverage the normative human brain connectome to test whether seemingly heterogeneous neuroimaging findings localize to connected brain networks. We use neurodegenerative disease, and specifically Alzheimer's disease, as our example as it is one of the diseases that has been studied the most using neuroimaging. First, we show that neuroimaging findings in Alzheimer's disease occur in different brain regions across different studies but localize to the same functionally connected brain network...
December 14, 2018: Brain: a Journal of Neurology
https://read.qxmd.com/read/30538478/brain-structural-networks-and-connectomes-the-brain-obesity-interface-and-its-impact-on-mental-health
#13
Vincent Chin-Hung Chen, Yi-Chun Liu, Seh-Huang Chao, Roger S McIntyre, Danielle S Cha, Yena Lee, Jun-Cheng Weng
Purpose: Obesity is a complex and multifactorial disease identified as a global epidemic. Convergent evidence indicates that obesity differentially influences patients with neuropsychiatric disorders providing a basis for hypothesizing that obesity alters brain structure and function associated with the brain's propensity toward disturbances in mood and cognition. Herein, we characterize alterations in brain structures and networks among obese subjects (ie, body mass index [BMI] ≥30 kg/m2 ) when compared with non-obese controls...
2018: Neuropsychiatric Disease and Treatment
https://read.qxmd.com/read/30532688/abnormal-topology-of-the-structural-connectome-in-the-limbic-cortico-basal-ganglia-circuit-and-default-mode-network-among-primary-insomnia-patients
#14
Yunfan Wu, Mengchen Liu, Shaoqing Zeng, Xiaofen Ma, Jianhao Yan, Chulan Lin, Guang Xu, Guomin Li, Yi Yin, Shishun Fu, Kelei Hua, Chao Li, Tianyue Wang, Cheng Li, Guihua Jiang
Purpose: Primary insomnia (PI) is the second most common mental disorder. However, the topologic alterations in structural brain connectome in patients with PI remain largely unknown. Methods: A total of 44 PI patients and 46 age-, gender-, and education level matched healthy control (HC) participants were recruited in this study. Diffusion tensor imaging (DTI) and resting state MRI were used to construct structural connectome for each participant, and the network parameters were employed by non-parametric permutations to evaluate the significant differences between the two groups...
2018: Frontiers in Neuroscience
https://read.qxmd.com/read/30410064/functional-connectome-organization-predicts-conversion-to-psychosis-in-clinical-high-risk-youth-from-the-sharp-program
#15
Guusje Collin, Larry J Seidman, Matcheri S Keshavan, William S Stone, Zhenghan Qi, Tianhong Zhang, Yingying Tang, Huijun Li, Sheeba Arnold Anteraper, Margaret A Niznikiewicz, Robert W McCarley, Martha E Shenton, Jijun Wang, Susan Whitfield-Gabrieli
The emergence of prodromal symptoms of schizophrenia and their evolution into overt psychosis may stem from an aberrant functional reorganization of the brain during adolescence. To examine whether abnormalities in connectome organization precede psychosis onset, we performed a functional connectome analysis in a large cohort of medication-naive youth at risk for psychosis from the Shanghai At Risk for Psychosis (SHARP) study. The SHARP program is a longitudinal study of adolescents and young adults at Clinical High Risk (CHR) for psychosis, conducted at the Shanghai Mental Health Center in collaboration with neuroimaging laboratories at Harvard and MIT...
November 8, 2018: Molecular Psychiatry
https://read.qxmd.com/read/30289363/disconnectomics-stroke-related-disconnection-and-dysfunction-in-distributed-brain-networks
#16
Michele Veldsman, Amy Brodtmann
Modern clinical neuroscience was built on observations of how localized damage caused specific functional, cognitive and behavioral deficits. Stroke neurology was a cornerstone of understanding this functional specialization in the brain. But most lesion-symptom mapping provides little prognostic value above clinical observations. Stroke topography remains a poor indicator of long-term outcome, and with stroke a major risk factor for dementia, there is strong incentive to find markers of predictive value. There is now growing recognition that the damage caused by stroke does not occur in isolation but is embedded within a complex, highly interconnected, organized and dynamic system: the connectome...
October 5, 2018: International Journal of Stroke: Official Journal of the International Stroke Society
https://read.qxmd.com/read/30271529/joint-exploration-and-mining-of-memory-relevant-brain-anatomic-and-connectomic-patterns-via-a-three-way-association-model
#17
Jingwen Yan, Kefei Liu, Huang Li, Enrico Amico, Shannon L Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J Saykin, Joaquín Goñi, Li Shen
Early change in memory performance is a key symptom of many brain diseases, but its underlying mechanism remains largely unknown. While structural MRI has been playing an essential role in revealing potentially relevant brain regions, increasing availability of diffusion MRI data (e.g., Human Connectome Project (HCP)) provides excellent opportunities for exploration of their complex coordination. Given the complementary information held in these two imaging modalities, we hypothesize that studying them as a whole, rather than individually, and exploring their association will provide us valuable insights of the memory mechanism...
April 2018: Proceedings of the IEEE International Symposium on Biomedical Imaging: from Nano to Macro
https://read.qxmd.com/read/30188456/neuropathic-pain-and-pain-interference-are-linked-to-alpha-band-slowing-and-reduced-beta-band-magnetoencephalography-activity-within-the-dynamic-pain-connectome-in-patients-with-multiple-sclerosis
#18
Junseok A Kim, Rachael L Bosma, Kasey S Hemington, Anton Rogachov, Natalie R Osborne, Joshua C Cheng, Jiwon Oh, Adrian P Crawley, Ben T Dunkley, Karen D Davis
Chronic pain is a common occurrence in multiple sclerosis (MS) that severely affects quality of life, but the underlying brain mechanisms related to these symptoms are unknown. Previous electroencephalography studies have demonstrated a role of alpha-band and beta-band power in pain processing. However, how and where these brain signals change in MS-related chronic pain is unknown. Here, we used resting state magnetoencephalography to examine regional spectral power in the dynamic pain connectome-including areas of the ascending nociceptive pathway, default mode network (DMN), and the salience network (SN)-in patients with chronic MS pain and in healthy controls...
September 3, 2018: Pain
https://read.qxmd.com/read/30175041/real-time-fmri-amygdala-neurofeedback-positive-emotional-training-normalized-resting-state-functional-connectivity-in-combat-veterans-with-and-without-ptsd-a-connectome-wide-investigation
#19
Masaya Misaki, Raquel Phillips, Vadim Zotev, Chung-Ki Wong, Brent E Wurfel, Frank Krueger, Matthew Feldner, Jerzy Bodurka
Self-regulation of brain activation using real-time functional magnetic resonance imaging neurofeedback (rtfMRI-nf) is an emerging approach for treating mood and anxiety disorders. The effect of neurofeedback training on resting-state functional connectivity warrants investigation as changes in spontaneous brain activation could reflect the association between sustained symptom relief and brain alteration. We investigated the effect of amygdala-focused rtfMRI-nf training on resting-state functional connectivity in combat veterans with and without posttraumatic stress disorder (PTSD) who were trained to increase a feedback signal reflecting left amygdala activity while recalling positive autobiographical memories (Zotev et al...
2018: NeuroImage: Clinical
https://read.qxmd.com/read/30125247/white-matter-network-alterations-in-patients-with-depersonalization-derealization-disorder
#20
Anika Sierk, Judith K Daniels, Antje Manthey, Jelmer G Kok, Alexander Leemans, Michael Gaebler, Jan-Peter Lamke, Johann Kruschwitz, Henrik Walter
BACKGROUND: Depersonalization/derealization disorder (DPD) is a chronic and distressing condition characterized by detachment from oneself and/or the external world. Neuroimaging studies have associated DPD with structural and functional alterations in a variety of distinct brain regions. Such local neuronal changes might be mediated by altered interregional white matter connections. However, to our knowledge, no research on network characteristics in this patient population exists to date...
August 2018: Journal of Psychiatry & Neuroscience: JPN
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