Altered brain network functional connectivity patterns in patients with vestibular migraine diagnosed according to the diagnostic criteria of the Bárány Society and the International Headache Society

Abstract Background Vestibular migraine (VM) is considered one of the most common causes of episodic central vestibular disorders, the mechanism of VM is currently still unclear. The development of functional nuclear magnetic resonance (fMRI) in recent years offers the possibility to explore the altered functional connectivity patterns in patients with VM in depth. The study aimed to investigate altered patterns of brain network functional connectivity in patients with VM diagnosed based on the diagnostic criteria of the Bárány Society and the International Headache Society, and hope to provide a scientific theoretical basis for understanding whether VM is a no-structural central vestibular disease, i.e., functional central vestibular disease with altered brain function. Methods Seventeen patients with VM who received treatment in our hospital from December 2018 to December 2020 were enrolled. Eight patients with migraine and 17 health controls (HCs) were also included. Clinical data of all patients were collected. Blood pressure, blood routine tests and electrocardiography were conducted to exclude other diseases associated with chronic dizziness. Videonystagmography, the vestibular caloric test, the video head impulse test and vestibular-evoked myogenic potentials were measured to exclude peripheral vestibular lesions. MRI was utilized to exclude focal lesions and other neurological diseases. All subjects underwent fMRI. The independent component analysis was performed to explore changes in intra- and inter-network functional connectivity in patients with VM. Results Among 17 patients with VM, there were 7 males and 10 females with an average age of 39.47 ± 9.78 years old. All patients had a history of migraine. Twelve (70.6%) patients had recurrent spontaneous vertigo, 2 (11.7%) patients had visually induced vertigo, and 3 (17.6%) patients had head motion-induced vertigo. All 17 patients with VM reported worsening of dizziness vertigo during visual stimulation. The migraine-like symptoms were photophobia or phonophobia (n = 15, 88.2%), migraine-like headache (n = 8, 47.1%), visual aura during VM onset (n = 7, 41.2%). 5 (29.4%) patients with VM had hyperactive response during the caloric test, and 12 (70.6%) patients had caloric test intolerance. Eleven (64.7%) patients had a history of motion sickness. Totally 13 independent components were identified. Patients with VM showed decreased functional connectivity in the bilateral medial cingulate gyrus and paracingulate gyrus within sensorimotor network (SMN) compared with HCs. They also showed weakened functional connectivity between auditory network (AN) and anterior default mode network (aDMN) compared with HCs, and enhanced functional connectivity between AN and the salience network (SN) compared with patients with migraine. Conclusion Patients with vestibular migraine showed obvious altered functional connectivity in the bilateral medial cingulate gyrus and paracingulate gyrus within the SMN. The median cingulate and paracingulate gyri may be impaired, the disinhibition of sensorimotor network and vestibular cortical network may result in a hypersensitivity state (photophobia/phonophobia). Altered functional connectivity between AN and DMN, SN may lead to increased sensitivity to vestibular sensory processing.

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Large-scale network integration in the human brain tracks temporal fluctuations in memory encoding performance

eLife ◽

10.7554/elife.32696 ◽

2018 ◽

Vol 7 ◽

Cited By ~ 4

Author(s):

Ruedeerat Keerativittayayut ◽

Ryuta Aoki ◽

Mitra Taghizadeh Sarabi ◽

Koji Jimura ◽

Kiyoshi Nakahara

Keyword(s):

Functional Connectivity ◽

Human Brain ◽

Large Scale ◽

Brain Regions ◽

Brain Network ◽

Time Varying ◽

Memory Encoding ◽

Graph Metrics ◽

Connectivity Patterns ◽

Network States

Although activation/deactivation of specific brain regions has been shown to be predictive of successful memory encoding, the relationship between time-varying large-scale brain networks and fluctuations of memory encoding performance remains unclear. Here, we investigated time-varying functional connectivity patterns across the human brain in periods of 30–40 s, which have recently been implicated in various cognitive functions. During functional magnetic resonance imaging, participants performed a memory encoding task, and their performance was assessed with a subsequent surprise memory test. A graph analysis of functional connectivity patterns revealed that increased integration of the subcortical, default-mode, salience, and visual subnetworks with other subnetworks is a hallmark of successful memory encoding. Moreover, multivariate analysis using the graph metrics of integration reliably classified the brain network states into the period of high (vs. low) memory encoding performance. Our findings suggest that a diverse set of brain systems dynamically interact to support successful memory encoding.

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Atypical Prefrontal–Amygdala Circuitry Following Childhood Exposure to Abuse: Links With Adolescent Psychopathology

Child Maltreatment ◽

10.1177/1077559519852676 ◽

2019 ◽

Vol 24 (4) ◽

pp. 411-423 ◽

Cited By ~ 9

Author(s):

Matthew Peverill ◽

Margaret A. Sheridan ◽

Daniel S. Busso ◽

Katie A. McLaughlin

Keyword(s):

Emotion Regulation ◽

Functional Connectivity ◽

Emotional Abuse ◽

Adolescent Psychopathology ◽

Brain Network ◽

Imaging Data ◽

Childhood Experiences ◽

Abuse Severity ◽

History Of ◽

Negative Coupling

Adverse childhood experiences have been associated with more negative coupling between the ventromedial prefrontal cortex (vmPFC) and amygdala, a brain network involved in emotion regulation in both children and adults. This pattern may be particularly likely to emerge in individuals exposed to threatening experiences during childhood (e.g., exposure to child abuse), although this has not been examined in prior research. We collected functional magnetic resonance imaging data on 57 adolescents during an emotion regulation task. Greater negative functional connectivity between vmPFC and amygdala occurred during viewing of negative compared to neutral images. This vmPFC-amygdala task-related functional connectivity was more negative in adolescents exposed to physical, sexual, or emotional abuse than those without a history of maltreatment and was associated with abuse severity. This pattern of more negative functional connectivity was associated with higher levels of externalizing psychopathology concurrently and 2 years later. Greater negative connectivity in the vmPFC-amygdala network during passive viewing of negative images may reflect disengagement of regulatory responses from vmPFC in situations eliciting strong amygdala reactivity, potentially due to stronger appraisals of threat in children exposed to early threatening environments. This pattern may be adaptive in the short term but place adolescents at higher risk of psychopathology later in life.

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Post-craniotomy headache: A proposed revision of IHS diagnostic criteria

Cephalalgia ◽

10.1111/j.1468-2982.2009.02010.x ◽

2009 ◽

Vol 30 (5) ◽

pp. 560-566 ◽

Cited By ~ 11

Author(s):

PAS Rocha-Filho ◽

JLD Gherpelli ◽

JTT de Siqueira ◽

GD Rabello

Keyword(s):

Diagnostic Criteria ◽

Short Form ◽

Past History ◽

International Headache Society ◽

Temporomandibular Disorder ◽

Mcgill Pain Questionnaire ◽

Headache Frequency ◽

Sex Type ◽

Semistructured Interviews ◽

History Of

Seventy-nine patients with intracranial aneurysms were evaluated in the presurgical period, and followed up to 6 months after surgery. We compare patients who fulfilled with those that did not post-craniotomy headache (PCH) diagnostic criteria, according to the International Classification of Headache Disorders. Semistructured interviews, headache diaries, Short Form-36 and McGill Pain Questionnaire were used. Seventy-two patients (91%) had headaches during the follow-up period. The incidence of PCH according to the International Headache Society diagnostic criteria was 40%. Age, sex, type of surgery, temporomandibular disorder, vasospasm, presence and type of previous headaches, and subarachnoid haemorrhage were not related to headache classification. There were no differences in the quality of life, headache frequency and characteristics or pain intensity between patients with headache that fulfilled or not PCH criteria. We proposed a revision of the diagnostic criteria for PCH, extending the headache outset after surgery from 7 to 30 days, and including the presence of headaches after surgery in patients with no past history of headaches, or an increase in headache frequency during the first 30 days of the postsurgical period followed by a decrease over time. Using these criteria we would classify 65% of our patients as having PCH.

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A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification

Computational and Mathematical Methods in Medicine ◽

10.1155/2012/451516 ◽

2012 ◽

Vol 2012 ◽

pp. 1-10 ◽

Cited By ~ 22

Author(s):

Ali Yener Mutlu ◽

Edward Bernat ◽

Selin Aviyente

Keyword(s):

Functional Connectivity ◽

Brain Activity ◽

Dynamic Network ◽

Principal Component ◽

Brain Network ◽

Event Related Potential ◽

Time Varying ◽

Error Related Negativity ◽

Connectivity Patterns

In recent years, there has been a growing need to analyze the functional connectivity of the human brain. Previous studies have focused on extracting static or time-independent functional networks to describe the long-term behavior of brain activity. However, a static network is generally not sufficient to represent the long term communication patterns of the brain and is considered as an unreliable snapshot of functional connectivity. In this paper, we propose a dynamic network summarization approach to describe the time-varying evolution of connectivity patterns in functional brain activity. The proposed approach is based on first identifying key event intervals by quantifying the change in the connectivity patterns across time and then summarizing the activity in each event interval by extracting the most informative network using principal component decomposition. The proposed method is evaluated for characterizing time-varying network dynamics from event-related potential (ERP) data indexing the error-related negativity (ERN) component related to cognitive control. The statistically significant connectivity patterns for each interval are presented to illustrate the dynamic nature of functional connectivity.

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Functional Connectivity Alterations in Children with Spastic and Dyskinetic Cerebral Palsy

Neural Plasticity ◽

10.1155/2018/7058953 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 7

Author(s):

Yun Qin ◽

Yanan Li ◽

Bo Sun ◽

Hui He ◽

Rui Peng ◽

...

Keyword(s):

Cerebral Palsy ◽

Functional Connectivity ◽

Cognitive Dysfunction ◽

Resting State ◽

Network Connectivity ◽

Brain Network ◽

Spastic Cerebral Palsy ◽

Pathophysiological Mechanism ◽

Healthy Children ◽

Sensorimotor Network

Cerebral palsy (CP) has long been investigated to be associated with a range of motor and cognitive dysfunction. As the two most common CP subtypes, spastic cerebral palsy (SCP) and dyskinetic cerebral palsy (DCP) may share common and distinct elements in their pathophysiology. However, the common and distinct dysfunctional characteristics between SCP and DCP on the brain network level are less known. This study aims to detect the alteration of brain functional connectivity in children with SCP and DCP based on resting-state functional MRI (fMRI). Resting-state networks (RSNs) were established based on the independent component analysis (ICA), and the functional network connectivity (FNC) was performed on the fMRI data from 16 DCP, 18 bilateral SCP, and 18 healthy children. Compared with healthy controls, altered functional connectivity within the cerebellum network, sensorimotor network (SMN), left frontoparietal network (LFPN), and salience network (SN) were found in DCP and SCP groups. Furthermore, the disconnections of the FNC consistently focused on the visual pathway; covariance of the default mode network (DMN) with other networks was observed both in DCP and SCP groups, while the DCP group had a distinct connectivity abnormality in motor pathway and self-referential processing-related connections. Correlations between the functional disconnection and the motor-related clinical measurement in children with CP were also found. These findings indicate functional connectivity impairment and altered integration widely exist in children with CP, suggesting that the abnormal functional connectivity is a pathophysiological mechanism of motor and cognitive dysfunction of CP.

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Vestibular migraine of childhood and recurrent vertigo of childhood: Diagnostic criteria consensus document of the committee for the classification of vestibular disorders of the bárány society and the international headache society

Journal of Vestibular Research ◽

10.3233/ves-200003 ◽

2020 ◽

pp. 1-9

Author(s):

Raymond van de Berg ◽

Josine Widdershoven ◽

Alexandre Bisdorff ◽

Stefan Evers ◽

Sylvette Wiener-Vacher ◽

...

Keyword(s):

Diagnostic Criteria ◽

Past History ◽

International Headache Society ◽

Vestibular Migraine ◽

Future Research ◽

Vestibular Disorders ◽

Consensus Document ◽

Severe Intensity ◽

Vestibular Symptoms

This paper describes the diagnostic criteria for “Vestibular Migraine of Childhood”, “probable Vestibular Migraine of Childhood” and “Recurrent Vertigo of Childhood” as put forth by the Committee for the Classification of Vestibular Disorders of the Bárány Society (ICVD) and the Migraine Classification subgroup of the International Headache Society. Migraine plays an important role in some subgroups of children with recurrent vertigo. In this classification paper a spectrum of three disorders is described in which the migraine component varies from definite to possibly absent. These three disorders are: Vestibular Migraine of Childhood, probable Vestibular Migraine of Childhood and Recurrent Vertigo of Childhood. The criteria for Vestibular Migraine of Childhood (VMC) include (A) at least five episodes with vestibular symptoms of moderate or severe intensity, lasting between five minutes and 72 hours, (B) a current or past history of migraine with or without aura, and (C) at least half of episodes are associated with at least one migraine feature. Probable Vestibular Migraine of Childhood (probable VMC) is considered when at least three episodes with vestibular symptoms of moderate or severe intensity, lasting between five minutes and 72 hours, are accompanied by at least criterion B or C from the VMC criteria. Recurrent Vertigo of Childhood (RVC) is diagnosed in case of at least three episodes with vestibular symptoms of moderate or severe intensity, lasting between 1 minute and 72 hours, and none of the criteria B and C for VMC are applicable. For all disorders, the age of the individual needs to be below 18 years old. It is recommended that future research should particularly focus on RVC, in order to investigate and identify possible subtypes and its links or its absence thereof with migraine.

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Altered Regional Brain Functional Activity Predominantly Involving the Right Superior Temporal Gyrus in Patients With Vestibular Migraine Diagnosed According to the Diagnostic Criteria of the Bárány Society and the International Headache Society

10.21203/rs.3.rs-467377/v1 ◽

2021 ◽

Author(s):

Zhe-Yuan Li ◽

Li-Hong Si ◽

Bo Shen ◽

Xia Ling ◽

Xu Yang

Keyword(s):

Frontal Lobe ◽

Parietal Lobe ◽

Brain Activity ◽

International Headache Society ◽

Low Frequency ◽

Caloric Test ◽

Superior Frontal Gyrus ◽

History Of ◽

The Right ◽

Motor Areas

Abstract Background: Vestibular migraine (VM) is considered one of the most common cause of episodic central vestibular disorders, the mechanism of VM is currently still unclear. It is worth investigating whether VM belongs to the migraine subtype or is a separate disorder. The development of functional nuclear magnetic resonance (fMRI) in recent years offers the possibility to explore the pathogenesis of VM in depth. The study aimed to investigate resting-state functional brain activity alterations in patients with VM diagnosed based on the diagnostic criteria of the Bárány Society and the International Headache Society.Methods: Seventeen patients with VM who received treatment in our hospital from December 2018 to December 2020 were enrolled. Clinical data of all patients were collected. Eight patients with migraine and 17 health controls (HCs) were also included. All subjects underwent fMRI examination. The amplitude of low frequency fluctuation (ALFF), fractional amplitude of low frequency fluctuation (fALFF) and regional homogeneity (ReHo) were calculated to observe the changes in spontaneous brain activity in patients with VM. Then brain regions with altered spontaneous brain activity were selected for seeded-based functional connectivity (FC) analysis to explore the changes in FC in patients with VM.Results: Among 17 patients with VM, there were 7 males and 10 females with an average age of 39.47±9.78 years old. All patients with VM had a history of migraine. Twelve (70.6%) patients with VM had recurrent spontaneous vertigo, 2 (11.7%) patients had visually-induced vertigo, and 3 (17.6%) patients had head motion-induced vertigo. All 17 patients with VM reported worsening of dizziness vertigo during visual stimulation. The migraine-like symptoms were photophobia or phonophobia (n=15, 88.2%), migraine-like headache (n=8, 47.1%), visual aura during VM onset (n= 7, 41.2%). 5 (29.4%) patients with VM had hyperactive response during the caloric test, and 12 (70.6%) patients had caloric test intolerance. Eleven (64.7%) patients had a history of motion sickness. VM patients showed exhibited significantly increased ALFF and fALFF values in the right temporal lobe (STG and MTG), and significantly increased ReHo values in the right STG, MTG and ITG in comparison with HCs. Compared with patients with migraine, patients with VM showed significantly decreased ALFF values in the right median cingulate and paracingulate gyri, significantly increased fALFF values in the right parietal lobe (postcentral gyrus and superior parietal gyrus), and the right frontal lobe (supplementary motor areas and dorsolateral superior frontal gyrus), as well as significantly increased ReHo values in the right thalamus. Compared with HCs, patients with migraine showed significantly increased ALFF values in the right limbic lobe (right parahippocampal gyrus and right fusiform gyrus), left ITG and the right frontal lobe (supplementary motor areas, right median cingulate and paracingulate gyri, and right right inferior frontal gyrus), significantly decreased ALFF values in the pons and brainstem, significantly decreased ReHo values in the frontal cortex (including left and right supplementary motor areas, left dorsolateral superior frontal gyrus, left median cingulate and paracingulate gyri, right paracentral lobule, right dorsolateral superior frontal gyrus, left and right middle frontal gyrus). Conclusions: Ventral stream of visual processing and allocentric spatial cognition in patients with VM may be impaired. Vertigo attacks in patients with VM may be related to increased spontaneous activity in the right parietal lobe-frontal lobe-thalamus; patients with VM and migraine both had altered brain function, but the underlying mechanism seems to be different.

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Convolutional Sparse Coded Dynamic Brain Functional Connectivity

10.1101/476663 ◽

2018 ◽

Author(s):

Jin Yan ◽

Yingying Zhu

Keyword(s):

Functional Connectivity ◽

Brain Connectivity ◽

Sliding Window ◽

Brain Network ◽

Clinical Applications ◽

Connectivity Pattern ◽

Brain Disorder ◽

Connectivity Patterns ◽

Brain Functional Connectivity ◽

The Brain

AbstractFunctional brain network has been widely studied in many previous work for brain disorder diagnosis and brain network analysis. However, most previous work focus on static dynamic brain network research. Lots of recent work reveals that the brain shows dynamic activity even in resting state. Such dynamic brain functional connectivity reveals discriminative patterns for identifying many brain disorders. Current sliding window based dynamic brain connectivity framework are not easy to be applied to real clinical applications due to many issues: First, how to set up the optimal sliding window size and how to determine the threshold for the brain connectivity patterns. Secondly, how to represent the high dimensional dynamic brain connectivity pattern in a low dimensional representations for diagnosis purpose. Last, how to deal with the different length dynamic brain network patterns especially when the raw data are of different length. In order to address all those above issues, we proposed a new framework, which employs multiple scale sliding windows and automatically learns a sparse and low ran dynamic brain functional connectivity patterns from raw fMRI data. Furthermore, we are able to measure different length dynamic brain functional connectivity patterns in an equal space by learning a sparse coded convolutional filters. We have evaluated our method with state of the art dynamic brain network methods and the results demonstrated the strong potential of our methods for brain disorder diagnosis in real clinical applications.

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The functional relevance of task-state functional connectivity

10.1101/2020.07.06.187245 ◽

2020 ◽

Author(s):

Michael W. Cole ◽

Takuya Ito ◽

Carrisa Cocuzza ◽

Ruben Sanchez-Romero

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Cognitive Task ◽

Brain Network ◽

Network Organization ◽

Functional Importance ◽

Resting State Functional Connectivity ◽

Connectivity Patterns ◽

Functional Relevance ◽

Insight Into

AbstractResting-state functional connectivity has provided substantial insight into intrinsic brain network organization, yet the functional importance of task-related change from that intrinsic network organization remains unclear. Indeed, such task-related changes are known to be small, suggesting they may have only minimal functional relevance. Alternatively, despite their small amplitude, these task-related changes may be essential for the human brain’s ability to adaptively alter its functionality via rapid changes in inter-regional relationships. We utilized activity flow mapping – an approach for building empirically-derived network models – to quantify the functional importance of task-state functional connectivity (above and beyond resting-state functional connectivity) in shaping cognitive task activations in the (female and male) human brain. We found that task-state functional connectivity could be used to better predict independent fMRI activations across all 24 task conditions and all 360 cortical regions tested. Further, we found that prediction accuracy was strongly driven by individual-specific functional connectivity patterns, while functional connectivity patterns from other tasks (task-general functional connectivity) still improved predictions beyond resting-state functional connectivity. Additionally, since activity flow models simulate how task-evoked activations (which underlie behavior) are generated, these results may provide mechanistic insight into why prior studies found correlations between task-state functional connectivity and individual differences in behavior. These findings suggest that task-related changes to functional connections play an important role in dynamically reshaping brain network organization, shifting the flow of neural activity during task performance.Significance StatementHuman cognition is highly dynamic, yet the human brain’s functional network organization is highly similar across rest and task states. We hypothesized that, despite this overall network stability, task-related changes from the brain’s intrinsic (resting-state) network organization strongly contribute to brain activations during cognitive task performance. Given that cognitive task activations emerge through network interactions, we leveraged connectivity-based models to predict independent cognitive task activations using resting-state versus task-state functional connectivity. This revealed that task-related changes in functional network organization increased prediction accuracy of cognitive task activations substantially, demonstrating their likely functional relevance for dynamic cognitive processes despite the small size of these task-related network changes.

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Altered Functional Connectivity Within and Between Salience and Sensorimotor Networks in Patients With Functional Constipation

Frontiers in Neuroscience ◽

10.3389/fnins.2021.628880 ◽

2021 ◽

Vol 15 ◽

Author(s):

Shijun Duan ◽

Lei Liu ◽

Guanya Li ◽

Jia Wang ◽

Yang Hu ◽

...

Keyword(s):

Abdominal Pain ◽

Functional Connectivity ◽

Treatment Strategies ◽

Functional Constipation ◽

Brain Network ◽

Clustering Coefficient ◽

Anterior Cingulate ◽

Precentral Gyrus ◽

Sensorimotor Network ◽

Brain Functions

Functional constipation (FCon) is a common functional gastrointestinal disorder. A considerable portion of patients with FCon is associated with anxiety/depressive status (FCAD). Previous neuroimaging studies mainly focused on patients with FCon without distinguishing FCAD from FCon patients without anxiety/depressive status (FCNAD). Differences in brain functions between these two subtypes remain unclear. Thus, we employed resting-state functional magnetic resonance imaging (RS-fMRI) and graph theory method to investigate differences in brain network connectivity and topology in 41 FCAD, 42 FCNAD, and 43 age- and gender-matched healthy controls (HCs). FCAD/FCNAD showed significantly lower normalized clustering coefficient and small-world-ness. Both groups showed altered nodal degree/efficiency mainly in the rostral anterior cingulate cortex (rACC), precentral gyrus (PreCen), supplementary motor area (SMA), and thalamus. In the FCAD group, nodal degree in the SMA was negatively correlated with difficulty of defecation, and abdominal pain was positively correlated with nodal degree/efficiency in the rACC, which had a lower within-module nodal degree. The salience network (SN) exhibited higher functional connectivity (FC) with the sensorimotor network (SMN) in FCAD/FCNAD, and FC between these two networks was negatively correlated with anxiety ratings in FCAD group. Additionally, FC of anterior insula (aINS)–rACC was only correlated with constipation symptom (i.e., abdominal pain) in the FCNAD group. In the FCAD group, FCs of dorsomedial prefrontal cortex–rACC, PreCen–aINS showed correlations with both constipation symptom (i.e., difficulty of defecation) and depressive status. These findings indicate the differences in FC of the SN–SMN between FCAD and FCNAD and provide neuroimaging evidence based on brain function, which portrays important clues for improving new treatment strategies.

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