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Resting state fmri psychiatric

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https://www.readbyqxmd.com/read/28337552/clinical-utility-of-resting-state-functional-connectivity-magnetic-resonance-imaging-for-mood-and-cognitive-disorders
#1
REVIEW
T Takamura, T Hanakawa
Although functional magnetic resonance imaging (fMRI) has long been used to assess task-related brain activity in neuropsychiatric disorders, it has not yet become a widely available clinical tool. Resting-state fMRI (rs-fMRI) has been the subject of recent attention in the fields of basic and clinical neuroimaging research. This method enables investigation of the functional organization of the brain and alterations of resting-state networks (RSNs) in patients with neuropsychiatric disorders. Rs-fMRI does not require participants to perform a demanding task, in contrast to task fMRI, which often requires participants to follow complex instructions...
March 23, 2017: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28291247/enhancing-studies-of-the-connectome-in-autism-using-the-autism-brain-imaging-data-exchange-ii
#2
Adriana Di Martino, David O'Connor, Bosi Chen, Kaat Alaerts, Jeffrey S Anderson, Michal Assaf, Joshua H Balsters, Leslie Baxter, Anita Beggiato, Sylvie Bernaerts, Laura M E Blanken, Susan Y Bookheimer, B Blair Braden, Lisa Byrge, F Xavier Castellanos, Mirella Dapretto, Richard Delorme, Damien A Fair, Inna Fishman, Jacqueline Fitzgerald, Louise Gallagher, R Joanne Jao Keehn, Daniel P Kennedy, Janet E Lainhart, Beatriz Luna, Stewart H Mostofsky, Ralph-Axel Müller, Mary Beth Nebel, Joel T Nigg, Kirsten O'Hearn, Marjorie Solomon, Roberto Toro, Chandan J Vaidya, Nicole Wenderoth, Tonya White, R Cameron Craddock, Catherine Lord, Bennett Leventhal, Michael P Milham
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions...
March 14, 2017: Scientific Data
https://www.readbyqxmd.com/read/28287187/similarities-and-differences-of-functional-connectivity-in-drug-na%C3%A3-ve-first-episode-adolescent-and-young-adult-with-major-depressive-disorder-and-schizophrenia
#3
Shengnan Wei, Fay Womer, Haiyang Geng, Xiaowei Jiang, Qian Zhou, Miao Chang, Yifang Zhou, Yanqing Tang, Fei Wang
Major depressive disorder (MDD) and schizophrenia (SZ) are considered two distinct psychiatric disorders. Yet, they have considerable overlap in symptomatology and clinical features, particularly in the initial phases of illness. The amygdala and prefrontal cortex (PFC) appear to have critical roles in these disorders; however, abnormalities appear to manifest differently. In our study forty-nine drug-naïve, first-episode MDD, 45 drug-naïve, first-episode SZ, and 50 healthy control (HC) participants from 13 to 30 years old underwent resting-state functional magnetic resonance imaging...
March 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28274468/development-of-white-matter-microstructure-and-intrinsic-functional-connectivity-between-the-amygdala-and-ventromedial-prefrontal-cortex-associations-with-anxiety-and-depression
#4
Maria Jalbrzikowski, Bart Larsen, Michael N Hallquist, William Foran, Finnegan Calabro, Beatriz Luna
BACKGROUND: Connectivity between the amygdala and ventromedial prefrontal cortex (vmPFC) is compromised in multiple psychiatric disorders, many of which emerge during adolescence. To identify to what extent the deviations in amygdala-vmPFC maturation contribute to the onset of psychiatric disorders, it is essential to characterize amygdala-vmPFC connectivity changes during typical development. METHODS: Using an accelerated cohort longitudinal design (1-3 time points, 10-25 years old, n = 246), we characterized developmental changes of the amygdala-vmPFC subregion functional and structural connectivity using resting-state functional magnetic resonance imaging and diffusion-weighted imaging...
January 17, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28265121/brain-structural-and-functional-signatures-of-impulsive-compulsive-behaviours-in-parkinson-s-disease
#5
F Imperiale, F Agosta, E Canu, V Markovic, A Inuggi, M Jecmenica-Lukic, A Tomic, M Copetti, S Basaia, V S Kostic, M Filippi
This study assessed brain structural and functional alterations in patients with Parkinson's disease and impulsive-compulsive behaviours (PD-ICB) compared with controls and PD no-ICB cases. Eighty-five PD patients (35 PD-ICB) and 50 controls were recruited. All subjects underwent three-dimensional T1-weighted, diffusion tensor (DT), and resting state functional magnetic resonance imaging (RS fMRI). We assessed cortical thickness with surface-based morphometry, subcortical volumes using FIRST, DT MRI metrics using region of interest and tractography approaches, and RS fMRI using a model free approach...
March 7, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/28256777/utility-of-the-cumulative-stress-and-mismatch-hypotheses-in-understanding-the-neurobiological-impacts-of-childhood-abuse-and-recent-stress-in-youth-with-emerging-mental-disorder
#6
Casey Paquola, Maxwell R Bennett, Sean N Hatton, Daniel F Hermens, Jim Lagopoulos
Childhood abuse has an enduring impact on the brain's stress system. Whether the effects of childhood abuse and adulthood stress are additive (cumulative stress hypothesis) or interactive (mismatch hypothesis) is widely disputed, however. The primary aim of this study was to test the utility of the cumulative stress and mismatch hypotheses in understanding brain and behaviour. We recruited 64 individuals (aged 14-26) from a specialised clinic for assessment and early intervention of mental health problems in young people...
March 3, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#7
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28167349/proportional-thresholding-in-resting-state-fmri-functional-connectivity-networks-and-consequences-for-patient-control-connectome-studies-issues-and-recommendations
#8
Martijn P van den Heuvel, Siemon C de Lange, Andrew Zalesky, Caio Seguin, B T Thomas Yeo, Ruben Schmidt
Graph theoretical analysis has become an important tool in the examination of brain dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in the construction of the functional graph or network involves "thresholding" of the connectivity matrix, selecting the set of edges that together form the graph on which network organization is evaluated. To avoid systematic differences in absolute number of edges, studies have argued against the use of an "absolute threshold" in case-control studies and have proposed the use of "proportional thresholding" instead, in which a pre-defined number of strongest connections are selected as network edges, ensuring equal network density across datasets...
February 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28157095/functional-connectivity-in-the-default-mode-network-is-reduced-in-association-with-nocturnal-awakening-in-mild-cognitive-impairment
#9
Andrew C McKinnon, Shantel L Duffy, Nathan E Cross, Zoe Terpening, Ron R Grunstein, Jim Lagopoulos, Jennifer Batchelor, Ian B Hickie, Simon J G Lewis, James M Shine, Sharon L Naismith
BACKGROUND: Sleep disturbance is prevalent in MCI, and is a risk factor for cognitive deterioration. OBJECTIVE: To identify functional connectivity deficits in the default mode network (DMN) in patients with mild cognitive impairment (MCI) and sleep disturbance, relative to MCIs with intact sleep. METHODS: Participants comprised 47 adults aged 55 years and over, recruited from the Healthy Brain Ageing Clinic at the Brain and Mind Centre, Sydney, Australia...
2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28126500/systemic-inflammation-and-resting-state-connectivity-of-the-default-mode-network
#10
Anna L Marsland, Dora C-H Kuan, Lei K Sheu, Katarina Krajina, Thomas E Kraynak, Stephen B Manuck, Peter J Gianaros
The default mode network (DMN) encompasses brain systems that exhibit coherent neural activity at rest. DMN brain systems have been implicated in diverse social, cognitive, and affective processes, as well as risk for forms of dementia and psychiatric disorders that associate with systemic inflammation. Areas of the anterior cingulate cortex (ACC) and surrounding medial prefrontal cortex (mPFC) within the DMN have been implicated specifically in regulating autonomic and neuroendocrine processes that relate to systemic inflammation via bidirectional signaling mechanisms...
January 23, 2017: Brain, Behavior, and Immunity
https://www.readbyqxmd.com/read/28126471/decreased-functional-connectivity-between-the-dorsal-anterior-cingulate-cortex-and-lingual-gyrus-in-alzheimer-s-disease-patients-with-depression
#11
Xiaozheng Liu, Wei Chen, Hongtao Hou, Xingli Chen, Jiangtao Zhang, Jian Liu, Zhongwei Guo, Guanghui Bai
BACKGROUND: Depression is one of the most common psychiatric symptoms in Alzheimer's disease (AD), occurring in up to 40% of AD patients. It influences the cognitive function of patients and increases the burden on their caregivers. Currently, there are few effective medical treatments for reducing the symptoms of depression in AD patients. Understanding the underlying neurobiological mechanisms in AD patients with depression (D-AD) is crucial for developing effective interventions. The anterior cingulate cortex (ACC) is an important brain region involved in emotional and cognitive processing...
January 23, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28117515/multimodal-investigation-of-triple-network-connectivity-in-patients-with-22q11ds-and-association-with-executive-functions
#12
Maria C Padula, Marie Schaer, Elisa Scariati, Johanna Maeder, Maude Schneider, Stephan Eliez
Large-scale brain networks play a prominent role in cognitive abilities and their activity is impaired in psychiatric disorders, such as schizophrenia. Patients with 22q11.2 deletion syndrome (22q11DS) are at high risk of developing schizophrenia and present similar cognitive impairments, including executive functions deficits. Thus, 22q11DS represents a model for the study of neural biomarkers associated with schizophrenia. In this study, we investigated structural and functional connectivity within and between the Default Mode (DMN), the Central Executive (CEN), and the Saliency network (SN) in 22q11DS using resting-state fMRI and DTI...
April 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28089676/multimodal-evaluation-of-the-amygdala-s-functional-connectivity
#13
Rebecca Kerestes, Henry W Chase, Mary L Phillips, Cecile D Ladouceur, Simon B Eickhoff
The amygdala is one of the most extensively studied human brain regions and undisputedly plays a central role in many psychiatric disorders. However, an outstanding question is whether connectivity of amygdala subregions, specifically the centromedial (CM), laterobasal (LB) and superficial (SF) nuclei, are modulated by brain state (i.e., task vs. rest). Here, using a multimodal approach, we directly compared meta-analytic connectivity modeling (MACM) and specific co-activation likelihood estimation (SCALE)-derived estimates of CM, LB and SF task-based co-activation to the functional connectivity of these nuclei as assessed by resting state fmri (rs-fmri)...
March 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28017919/relationship-of-a-common-oxtr-gene-variant-to-brain-structure-and-default-mode-network-function-in-healthy-humans
#14
Junping Wang, Meredith N Braskie, George W Hafzalla, Joshua Faskowitz, Katie L McMahon, Greig I de Zubicaray, Margaret J Wright, Chunshui Yu, Paul M Thompson
A large body of research suggests that oxytocin receptor (OXTR) gene polymorphisms may influence both social behaviors and psychiatric conditions related to social deficits, such as autism spectrum disorders (ASDs), schizophrenia, and mood and anxiety disorders. However, the neural mechanism underlying these associations is still unclear. Relative to controls, patients with these psychiatric conditions show differences in brain structure, and in resting state fMRI (rs-fMRI) signal synchronicity among default mode network (DMN) regions (also known as functional connectivity)...
February 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28012852/mapping-effective-connectivity-in-the-human-brain-with-concurrent-intracranial-electrical-stimulation-and-bold-fmri
#15
Hiroyuki Oya, Matthew A Howard, Vincent A Magnotta, Anton Kruger, Timothy D Griffiths, Louis Lemieux, David W Carmichael, Christopher I Petkov, Hiroto Kawasaki, Christopher K Kovach, Matthew J Sutterer, Ralph Adolphs
BACKGROUND: Understanding brain function requires knowledge of how one brain region causally influences another. This information is difficult to obtain directly in the human brain, and is instead typically inferred from resting-state fMRI. NEW METHOD: Here, we demonstrate the safety and scientific promise of a novel and complementary approach: concurrent electrical stimulation and fMRI (es-fMRI) at 3T in awake neurosurgical patients with implanted depth electrodes...
February 1, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27990125/promises-pitfalls-and-basic-guidelines-for-applying-machine-learning-classifiers-to-psychiatric-imaging-data-with-autism-as-an-example
#16
Pegah Kassraian-Fard, Caroline Matthis, Joshua H Balsters, Marloes H Maathuis, Nicole Wenderoth
Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large interindividual differences. Typically, the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multidisciplinary team with extensive experience. While the application of Machine Learning classification methods (ML classifiers) to neuroimaging data has the potential to speed and simplify diagnosis of psychiatric disorders, the methods, assumptions, and analytical steps are currently opaque and not accessible to researchers and clinicians outside the field...
2016: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/27942449/resting-state-functional-network-disruptions-in-a-kainic-acid-model-of-temporal-lobe-epilepsy
#17
Ravnoor Singh Gill, Seyed M Mirsattari, L Stan Leung
We studied the graph topological properties of brain networks derived from resting-state functional magnetic resonance imaging in a kainic acid induced model of temporal lobe epilepsy (TLE) in rats. Functional connectivity was determined by temporal correlation of the resting-state Blood Oxygen Level Dependent (BOLD) signals between two brain regions during 1.5% and 2% isoflurane, and analyzed as networks in epileptic and control rats. Graph theoretical analysis revealed a significant increase in functional connectivity between brain areas in epileptic than control rats, and the connected brain areas could be categorized as a limbic network and a default mode network (DMN)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27915121/predicting-individual-brain-functional-connectivity-using-a-bayesian-hierarchical-model
#18
Tian Dai, Ying Guo
Network-oriented analysis of functional magnetic resonance imaging (fMRI), especially resting-state fMRI, has revealed important association between abnormal connectivity and brain disorders such as schizophrenia, major depression and Alzheimer's disease. Imaging-based brain connectivity measures have become a useful tool for investigating the pathophysiology, progression and treatment response of psychiatric disorders and neurodegenerative diseases. Recent studies have started to explore the possibility of using functional neuroimaging to help predict disease progression and guide treatment selection for individual patients...
February 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/27913429/heritability-of-the-effective-connectivity-in-the-resting-state-default-mode-network
#19
Junhai Xu, Xuntao Yin, Haitao Ge, Yan Han, Zengchang Pang, Baolin Liu, Shuwei Liu, Karl Friston
The default mode network (DMN) is thought to reflect endogenous neural activity, which is considered as one of the most intriguing phenomena in cognitive neuroscience. Previous studies have found that key regions within the DMN are highly interconnected. Here, we characterized the genetic influences on causal or directed information flow within the DMN during the resting state. In this study, we recruited 46 pairs of twins and collected fMRI imaging data using a 3.0 T scanner. Dynamic causal modeling was conducted for each participant, and a structural equation model was used to calculate the heritability of DMN in terms of its effective connectivity...
November 23, 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/27857682/functional-connectivity-substrates-for-tdcs-response-in-minimally-conscious-state-patients
#20
Carlo Cavaliere, Marco Aiello, Carol Di Perri, Enrico Amico, Charlotte Martial, Aurore Thibaut, Steven Laureys, Andrea Soddu
Transcranial direct current stimulation (tDCS) is a non-invasive technique recently employed in disorders of consciousness, and determining a transitory recovery of signs of consciousness in almost half of minimally conscious state (MCS) patients. Although the rising evidences about its possible role in the treatment of many neurological and psychiatric conditions exist, no evidences exist about brain functional connectivity substrates underlying tDCS response. We retrospectively evaluated resting state functional Magnetic Resonance Imaging (fMRI) of 16 sub-acute and chronic MCS patients (6 tDCS responders) who successively received a single left dorsolateral prefrontal cortex (DLPFC) tDCS in a double-blind randomized cross-over trial...
2016: Frontiers in Cellular Neuroscience
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