Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson’s disease through a randomized controlled trial

Hajebrahimi, Farzin; Bayraktaroğlu, Zübeyir; Yılmaz, Nesrin Helvacı; Hanoğlu, Lütfü

doi:10.1038/s41598-022-12061-3

Cited by 19 publications

(15 citation statements)

References 61 publications

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“…6-8,27,28,35-38,43,46-48,53,56,60,63,64,66,68,71,73,74,77 Twenty-four trials (31 comparisons) involving 1044 participants compared 2 different exercise groups. 6,27,33,34,41,42,44,45,49-52,54,55,57-59,61,62,65,67,69-72,75-78…”

Section: Resultsmentioning

confidence: 99%

“…Thirteen trials reported neurochemical outcomes, that is, trophic factors, 8,34,38,49,56,63,72,73,77 oxidative stress, 35,43,49,63,64 and/or inflammatory markers, 34,38,49,72,73,77 with most not reporting medication status when outcomes were taken. Ten trials reported neuroimaging outcomes, that is, brain functional activation, 53,54,56,69,70,75 connectivity, 48,57,58,65,68,78 structure, 48,60 or volume 48,60 measured through fMRI or functional near-infrared spectroscopy in 1 trial, 69 mostly “on” medication 54,56-58,60,65,69,70,75 ; and dopamine receptor binding 7,53 measured “off” medication through positron emitted tomography. Neuroimaging trials examined different brain networks and used different imaging techniques and analysis methods.…”

Section: Resultsmentioning

confidence: 99%

“…For neuroimaging outcomes, 5 trials (7 comparisons) investigated the effects of different types of exercise on brain activation 54,69,70,75 and connectivity 57,58,65,78 and found that effects of exercise were localized to specific brain regions (eg, the medial temporal gyrus 54,70 or precuneus 57,58 ), depending on the type of exercise investigated and the networks underlying the behaviors of interest to the investigators (eg, freezing of gait 54 ). These trials generally found that the exercise involving greater cognitive engagement was associated with greater improvements.…”

Section: Resultsmentioning

confidence: 99%

“…These trials generally found that the exercise involving greater cognitive engagement was associated with greater improvements. 57,58,65,69,70,78…”

Section: Resultsmentioning

confidence: 99%

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Does Exercise Attenuate Disease Progression in People With Parkinson’s Disease? A Systematic Review With Meta-Analyses

Li,

Loevaas,

Guan

et al. 2023

Neurorehabil Neural Repair

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Introduction Exercise has many benefits for people with Parkinson’s disease (PD) and has been suggested to modify PD progression, but robust evidence supporting this is lacking. Objective This systematic review (PROSPERO registration: CRD42020169999) investigated whether exercise may have neuroplastic effects indicative of attenuating PD progression. Methods Six databases were searched for randomized controlled trials (RCTs) that compared the effect of exercise to control (no or sham exercise) or to another form of exercise, on indicators of PD progression (eg, brain-derived neurotrophic factor [BDNF], brain activation, “off” Unified Parkinson’s Disease Rating Scale [UPDRS] scores). Trial quality was assessed using the Physiotherapy Evidence Database Scale. Random-effects meta-analyses were performed where at least 3 comparable trials reported the same outcome; remaining results were synthesized narratively. Results Forty-nine exercise trials involving 2104 PD participants were included. Compared to control, exercise improved “off” UPDRS motor scores (Hedge’s g −0.39, 95% CI: −0.65 to −0.13, P = .003) and BDNF concentration (Hedge’s g 0.54, 95% CI: 0.10-0.98, P = .02), with low to very low certainty of evidence, respectively. Narrative synthesis for the remaining outcomes suggested that compared to control, exercise may have neuroplastic effects. The exercise versus exercise comparisons were too heterogenous to enable pooling of results. Discussion This review provides limited evidence that exercise may have an attenuating effect on potential markers of PD progression. Further large RCTs are warranted to explore differential effects by exercise type, dose and PD stage, and should report on a core set of outcomes indicative of PD progression.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…These trials generally found that the exercise involving greater cognitive engagement was associated with greater improvements. 57,58,65,69,70,78…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Does Exercise Attenuate Disease Progression in People With Parkinson’s Disease? A Systematic Review With Meta-Analyses

Li,

Loevaas,

Guan

et al. 2023

Neurorehabil Neural Repair

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show abstract

“…The same sliding workflow was considered with samplings of 10, 20, 30, 50, 124, and 188 patients. The choice of such different sizes was based on previous neuroscience studies that used fMRI of similar sample sizes, respectively [119][120][121][122][123][124].…”

Section: Sliding Windows and Overlapping Sliding Windowsmentioning

confidence: 99%

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning

Alves

Toutain

Aguiar

et al. 2022

Preprint

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Autism spectrum disorder is a multifactorial neurodevelopmental disorder with high genetic heterogeneity. Studies of brain networks in autism can provide new insights into the dynamics of information processing in individuals who suffer from such a condition. This paper proposes a method for automatic diagnosis of autism based on fMRI time series and machine learning algorithms. We verify that the left ventral posterior cingulate cortex region reduces the functional connectivity of the brain area in patients with autism spectrum disorder. Also, the brain networks of patients with autism spectrum disorder show more segregation, lower distribution of information, and less connectivity. Our methodology accurately differentiates control and autistic subjects providing an area under the curve close to higher than 95%.

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Functional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairment

Hajebrahimi,

Budak,

Saricaoglu

et al. 2024

Brain and Behavior

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IntroductionCognitive impairment (CI) is a significant non‐motor symptoms in Parkinson's disease (PD) that often precedes the emergence of motor symptoms by several years. Patients with PD hypothetically progress from stages without CI (PD‐normal cognition [NC]) to stages with Mild CI (PD‐MCI) and PD dementia (PDD). CI symptoms in PD are linked to different brain regions and neural pathways, in addition to being the result of dysfunctional subcortical regions. However, it is still unknown how functional dysregulation correlates to progression during the CI. Neuroimaging techniques hold promise in discriminating CI stages of PD and further contribute to the biomarker formation of CI in PD. In this study, we explore disparities in the clinical assessments and resting‐state functional connectivity (FC) among three CI stages of PD.MethodsWe enrolled 88 patients with PD and 26 healthy controls (HC) for a cross sectional clinical study and performed intra‐ and inter‐network FC analysis in conjunction with comprehensive clinical cognitive assessment.ResultsOur findings underscore the significance of several neural networks, namely, the default mode network (DMN), frontoparietal network (FPN), dorsal attention network, and visual network (VN) and their inter–intra‐network FC in differentiating between PD‐MCI and PDD. Additionally, our results showed the importance of sensory motor network, VN, DMN, and salience network (SN) in the discriminating PD‐NC from PDD. Finally, in comparison to HC, we found DMN, FPN, VN, and SN as pivotal networks for further differential diagnosis of CI stages of PD.ConclusionWe propose that resting‐state networks (RSN) can be a discriminating factor in distinguishing the CI stages of PD and progressing from PD‐NC to MCI or PDD. The integration of clinical and neuroimaging data may enhance the early detection of PD in clinical settings and potentially prevent the disease from advancing to more severe stages.

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Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson’s disease through a randomized controlled trial

Cited by 19 publications

References 61 publications

Does Exercise Attenuate Disease Progression in People With Parkinson’s Disease? A Systematic Review With Meta-Analyses

Does Exercise Attenuate Disease Progression in People With Parkinson’s Disease? A Systematic Review With Meta-Analyses

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning

Functional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairment

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