scholarly journals Neuroimaging-Based Scalp Acupuncture Locations for Dementia

2020 ◽  
Vol 9 (8) ◽  
pp. 2477 ◽  
Author(s):  
Jin Cao ◽  
Yiting Huang ◽  
Nathaniel Meshberg ◽  
Sierra A. Hodges ◽  
Jian Kong
Keyword(s):  
Prefrontal Cortex ◽  
Diffusion Tensor ◽  
Meta Analysis ◽  
Superior Temporal Gyrus ◽  
Electrical Current ◽  
Scalp Acupuncture ◽  
Resting State Functional Connectivity ◽  
Temporal Pole ◽  
And Diffusion ◽  
Diffusion Tensor Imaging Dti

Scalp acupuncture is a modality of acupuncture in which acupuncture needles are inserted into a certain layer of the scalp in order to affect the function of corresponding areas of the cerebral cortex and relieve symptoms. Clinical studies have demonstrated the potential of scalp acupuncture as a non-pharmacological treatment for dementia. Unfortunately, recent findings from brain neuroimaging studies on dementia have not been incorporated into scalp acupuncture. This study aims to integrate meta-analysis, resting-state functional connectivity, and diffusion tensor imaging (DTI) to identify potential locations of scalp acupuncture for treatment of dementia. We found that the prefrontal cortex, the medial prefrontal cortex, the middle and superior temporal gyrus, the temporal pole, the supplementary motor area, the inferior occipital gyrus, and the precuneus are involved in the pathophysiology of dementia and, therefore, may be the target areas of scalp acupuncture for dementia treatment. The neuroimaging-based scalp acupuncture protocol developed in this study may help to refine the locations for the treatment of dementia. Integrating multidisciplinary methods to identify key surface cortical areas associated with a certain disorder may shed light on the development of scalp acupuncture and other neuromodulation methods such as transcranial electrical current stimulation, particularly in the domain of identifying stimulation locations.

scholarly journals Identify potential neuroimaging-based scalp acupuncture and neuromodulation targets for anxiety

2021 ◽  
Vol 7 (2) ◽  
pp. 97-111
Author(s):  
Jin Cao ◽  
Yiting Huang ◽  
Sierra A. Hodges ◽  
Nathaniel Meshberg ◽  
Jian Kong
Keyword(s):  
Diffusion Tensor ◽  
Meta Analysis ◽  
Region Of Interest ◽  
Superior Temporal Gyrus ◽  
Brain Regions ◽  
Scalp Acupuncture ◽  
Angular Gyrus ◽  
Precentral Gyrus ◽  
Resting State Functional Connectivity ◽  
New Type

Anxiety is a common psychiatric symptom with unsatisfactory treatment. Scalp acupuncture is a new type of acupuncture based on the functions of different brain regions. However, recent brain neuroimaging findings have not been well-integrated into scalp acupuncture practice and research since it was developed. In parallel, recently developed brain stimulation methods have also been applied to treat anxiety. In this study, we integrated meta-analysis (using Neurosynth), resting-state functional connectivity, and diffusion tensor imaging (using the amygdala as the region of interest) to identify potential locations of scalp acupuncture/neuromodulation for anxiety. We found that the superior/middle frontal gyrus, middle/superior temporal gyrus, precentral gyrus, supplementary motor area, supramarginal gyrus, angular gyrus, and superior/inferior occipital gyrus are involved in the pathophysiology of anxiety, and, thus, may be used as the target areas of scalp stimulation for alleviating anxiety. Integrating multidisciplinary brain methods to identify key surface cortical areas associated with a certain disorder may shed light on the development of scalp acupuncture/neuromodulation, particularly in the domain of identifying stimulation locations.

scholarly journals Joint Assessment of Structural, Perfusion, and Diffusion MRI in Alzheimer's Disease and Frontotemporal Dementia

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Christopher Ching ◽  
Duygu Tosun ◽  
Wang Zhan ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Frontotemporal Dementia ◽  
Diffusion Tensor ◽  
Healthy Control ◽  
Multimodal Mri ◽  
Imaging Markers ◽  
And Diffusion ◽  
Joint Assessment ◽  
Diffusion Tensor Imaging Dti

Most MRI studies of Alzheimer's disease (AD) and frontotemporal dementia (FTD) have assessed structural, perfusion and diffusion abnormalities separately while ignoring the relationships across imaging modalities. This paper aimed to assess brain gray (GM) and white matter (WM) abnormalities jointly to elucidate differences in abnormal MRI patterns between the diseases. Twenty AD, 20 FTD patients, and 21 healthy control subjects were imaged using a 4 Tesla MRI. GM loss and GM hypoperfusion were measured using high-resolution T1 and arterial spin labeling MRI (ASL-MRI). WM degradation was measured with diffusion tensor imaging (DTI). Using a new analytical approach, the study found greater WM degenerations in FTD than AD at mild abnormality levels. Furthermore, the GM loss and WM degeneration exceeded the reduced perfusion in FTD whereas, in AD, structural and functional damages were similar. Joint assessments of multimodal MRI have potential value to provide new imaging markers for improved differential diagnoses between FTD and AD.

scholarly journals Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

2021 ◽  
Author(s):  
David Pascucci ◽  
Maria Rubega ◽  
Joan Rue-Queralt ◽  
Sebastien Tourbier ◽  
Patric Hagmann ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Diffusion Tensor ◽  
Meta Analysis ◽  
Structural Connectivity ◽  
Brain Regions ◽  
Noise Perturbation ◽  
Eeg Data ◽  
Functional Brain Networks ◽  
Anatomical Priors ◽  
And Diffusion

The dynamic repertoire of functional brain networks is constrained by the underlying topology of structural connections: the lack of a direct structural link between two brain regions prevents direct functional interactions. Despite the intrinsic relationship between structural (SC) and functional connectivity (FC), integrative and multimodal approaches to combine the two remain limited, especially for electrophysiological data. In the present work, we propose a new linear adaptive filter for estimating dynamic and directed FC using structural connectivity information as priors. We tested the filter in rat epicranial recordings and human event-related EEG data, using SC priors from a meta-analysis of tracer studies and diffusion tensor imaging metrics, respectively. Our results show that SC priors increase the resilience of FC estimates to noise perturbation while promoting sparser networks under biologically plausible constraints. The proposed filter provides intrinsic protection against SC-related false negatives, as well as robustness against false positives, representing a valuable new method for multimodal imaging and dynamic FC analysis.

scholarly journals White matter and schizophrenia: A meta-analysis of voxel-based morphometry and diffusion tensor imaging studies

2017 ◽  
Vol 270 ◽  
pp. 8-21 ◽  
Author(s):  
Enrico Vitolo ◽  
Mona Karina Tatu ◽  
Claudia Pignolo ◽  
Franco Cauda ◽  
Tommaso Costa ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Meta Analysis ◽  
Voxel Based Morphometry ◽  
Imaging Studies ◽  
And Diffusion

scholarly journals Locations for noninvasive brain stimulation in treating depressive disorders: A combination of meta-analysis and resting-state functional connectivity analysis

2020 ◽  
Vol 54 (6) ◽  
pp. 582-590 ◽  
Author(s):  
Binlong Zhang ◽  
Jiao Liu ◽  
Tuya Bao ◽  
Georgia Wilson ◽  
Joel Park ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Functional Connectivity ◽  
Brain Stimulation ◽  
Dorsolateral Prefrontal Cortex ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Resting State Functional Connectivity ◽  
Noninvasive Brain Stimulation ◽  
Brain Surface ◽  
Dorsolateral Prefrontal

Objective: Many noninvasive brain stimulation techniques have been applied to treat depressive disorders. However, the target brain region in most noninvasive brain stimulation studies is the dorsolateral prefrontal cortex. Exploring new stimulation locations may improve the efficacy of noninvasive brain stimulation for depressive disorders. We aimed to explore potential noninvasive brain stimulation locations for depressive disorders through a meta-analysis and a functional connectivity approach. Methods: We conducted a meta-analysis of 395 functional magnetic resonance imaging studies to identify depressive disorder–associated brain regions as regions of interest. Then, we ran resting-state functional connectivity analysis with three different pipelines in 40 depression patients to find brain surface regions correlated with these regions of interest. The 10–20 system coordinates corresponding to these brain surface regions were considered as potential locations for noninvasive brain stimulation. Results: The 10–20 system coordinates corresponding to the bilateral dorsolateral prefrontal cortex, bilateral inferior frontal gyrus, medial prefrontal cortex, supplementary motor area, bilateral supramarginal gyrus, bilateral primary motor cortex, bilateral operculum, left angular gyrus and right middle temporal gyrus were identified as potential locations for noninvasive brain stimulation in depressive disorders. The coordinates were: posterior to F3, posterior to F4, superior to F3, posterior to F7, anterior to C4, P3, midpoint of F7–T3, posterior to F8, anterior to C3, midpoint of Fz–Cz, midpoint of Fz–Fp1, anterior to T4, midpoint of C3–P3, and anterior to C4. Conclusion: Our study identified several potential noninvasive brain stimulation locations for depressive disorders, which may serve as a basis for future clinical investigations.

Impaired attentional and socio-affective networks in subjects with antisocial behaviors: a meta-analysis of resting-state functional connectivity studies

2021 ◽  
pp. 1-11
Author(s):  
Jules Roger Dugré ◽  
Stéphane Potvin
Keyword(s):  
Prefrontal Cortex ◽  
Resting State ◽  
Meta Analysis ◽  
Cingulate Cortex ◽  
Resting State Fmri ◽  
Posterior Cingulate Cortex ◽  
Antisocial Behaviors ◽  
Antisocial Personality ◽  
Resting State Functional Connectivity ◽  
Connectivity Patterns

Abstract In the past decade, there has been a growing interest in examining resting-state functional connectivity deficits in subjects with conduct and antisocial personality disorder. Through meta-analyses and literature reviews, extensive work has been done to characterize their abnormalities in brain activation during a wide range of functional magnetic resonance imaging (fMRI) tasks. However, there is currently no meta-analytical evidence regarding neural connectivity patterns during resting-state fMRI. Therefore, we conducted a coordinate-based meta-analysis of resting-state fMRI studies on individuals exhibiting antisocial behaviors. Of the retrieved studies, 18 used a seed-based connectivity approach (513 cases v. 488 controls), 20 employed a non-seed-based approach (453 cases v. 460 controls) and 20 included a correlational analysis between the severity of antisocial behaviors and connectivity patterns (3462 subjects). Meta-analysis on seed-based studies revealed significant connectivity deficits in the amygdala, middle cingulate cortex, ventral posterior cingulate cortex-precuneus, ventromedial and dorsomedial prefrontal cortex, premotor cortex, and superior parietal lobule. Additionally, non-seed-based meta-analysis showed increased connectivity in the ventral posterior cingulate cortex and decreased connectivity in the parietal operculum, calcarine cortex, and cuneus. Finally, we found meta-analytical evidence for negative relationship between the severity of antisocial behaviors and connectivity with the ventromedial prefrontal cortex. Functional characterization and meta-analytical connectivity modeling indicated that these findings overlapped with socio-affective and attentional processes. This further underscores the importance of these functions in the pathophysiology of conduct and antisocial personality disorders.

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