Distinct Relationship Between Cognitive Flexibility and White Matter Integrity in Individuals at Risk of Parkinson’s Disease

Alzaid, Haidar; Ethofer, Thomas; Hobert, Markus A.; Kardatzki, Bernd; Erb, Michael; Maetzler, Walter; Berg, Daniela

doi:10.3389/fnagi.2020.00250

Cited by 4 publications

(4 citation statements)

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“…The Research Domain Criteria (RDoC) approach emphasizes that flexibility dimensions can extend beyond traditional diagnostic categories, urging the integration of diverse data levels, spanning genomics, neural circuits, and behavior, including self-report measures such as participant-filled questionnaires. Cognitive and emotional rigidity or inflexibility represents commonly observed characteristics across various mental illnesses, particularly in clinical conditions manifesting early in life, such as Parkinson’s Disease (PD) and Anorexia Nervosa (AN), depression and bipolarism ( Pantelis and Andrewes, 1995 ; Cools et al, 2001 ; Díaz-Santos et al, 2015 ; Pietschnig et al, 2016 ; Alzaid et al, 2020 ). Recent research has identified a correlation between motor stiffness in PD and executive processes (attention shifting and conflict monitoring), processes known to be influenced by cognitive procedural rigidity ( Cools et al, 2001 ; Díaz-Santos et al, 2015 ; Alzaid et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…Cognitive and emotional rigidity or inflexibility represents commonly observed characteristics across various mental illnesses, particularly in clinical conditions manifesting early in life, such as Parkinson’s Disease (PD) and Anorexia Nervosa (AN), depression and bipolarism ( Pantelis and Andrewes, 1995 ; Cools et al, 2001 ; Díaz-Santos et al, 2015 ; Pietschnig et al, 2016 ; Alzaid et al, 2020 ). Recent research has identified a correlation between motor stiffness in PD and executive processes (attention shifting and conflict monitoring), processes known to be influenced by cognitive procedural rigidity ( Cools et al, 2001 ; Díaz-Santos et al, 2015 ; Alzaid et al, 2020 ). Conversely, AN is marked by emotional rigidity and challenges in transitioning between cognitive or affective states ( Friederich and Herzog, 2011 ; Abbate-Daga et al, 2014 ; Halls et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

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Outlining a novel psychometric model of mental flexibility and affect dynamics

Borghesi,

Chirico,

Cipresso

2023

Front. Psychol.

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Theoretically, affective states have always been conceived as complex phenomena enabling individuals to respond flexibly and dynamically to environmental demands. Methodologically, the novel field of Affect Dynamics has started to analyze affective states as inherently dynamic and interdependent phenomena by focusing on how and why they fluctuate over time. Fluctuations of affective states can also be conceived as a function of individuals’ ability to flexibly modulate their responses according to environmental demands. However, this ability has been sparsely investigated in different disciplines and domains, thus, engendering a plethora of terms and models. In this conceptual analysis, we first aimed to disentangle the puzzle of flexibility by outlining the distinctive cross-domain features of this concept, thus providing a novel comprehensive operationalization. We termed this novel unitary concept “mental flexibility,” the general ability to variably adapt to environmental demands. Then, we outlined the interplay between individuals’ mental flexibility and affect dynamics by proposing a novel psychometric model of affect dynamics, using Markovian chain.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Outlining a novel psychometric model of mental flexibility and affect dynamics

Borghesi,

Chirico,

Cipresso

2023

Front. Psychol.

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“…The white matter requires a steady supply of blood through small blood vessels to maintain normal physiological functions ( 2 ). Cerebrovascular disease can cause a reduction or interruption of blood flow to these vessels, leading to the development of white matter hyperintensities that can be diagnosed through MRI image ( 3 , 4 ).…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation of white matter hyperintensities and correlation analysis for cerebral small vessel disease

Zhang

Tian

et al. 2023

Front. Neurol.

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ObjectiveCerebral white matter hyperintensity can lead to cerebral small vessel disease, MRI images in the brain are used to assess the degree of pathological changes in white matter regions. In this paper, we propose a framework for automatic 3D segmentation of brain white matter hyperintensity based on MRI images to address the problems of low accuracy and segmentation inhomogeneity in 3D segmentation. We explored correlation analyses of cognitive assessment parameters and multiple comparison analyses to investigate differences in brain white matter hyperintensity volume among three cognitive states, Dementia, MCI and NCI. The study explored the correlation between cognitive assessment coefficients and brain white matter hyperintensity volume.MethodsThis paper proposes an automatic 3D segmentation framework for white matter hyperintensity using a deep multi-mapping encoder-decoder structure. The method introduces a 3D residual mapping structure for the encoder and decoder. Multi-layer Cross-connected Residual Mapping Module (MCRCM) is proposed in the encoding stage to enhance the expressiveness of model and perception of detailed features. Spatial Attention Weighted Enhanced Supervision Module (SAWESM) is proposed in the decoding stage to adjust the supervision strategy through a spatial attention weighting mechanism. This helps guide the decoder to perform feature reconstruction and detail recovery more effectively.ResultExperimental data was obtained from a privately owned independent brain white matter dataset. The results of the automatic 3D segmentation framework showed a higher segmentation accuracy compared to nnunet and nnunet-resnet, with a p-value of <0.001 for the two cognitive assessment parameters MMSE and MoCA. This indicates that larger brain white matter are associated with lower scores of MMSE and MoCA, which in turn indicates poorer cognitive function. The order of volume size of white matter hyperintensity in the three groups of cognitive states is dementia, MCI and NCI, respectively.ConclusionThe paper proposes an automatic 3D segmentation framework for brain white matter that achieves high-precision segmentation. The experimental results show that larger volumes of segmented regions have a negative correlation with lower scoring coefficients of MMSE and MoCA. This correlation analysis provides promising treatment prospects for the treatment of cerebral small vessel diseases in the brain through 3D segmentation analysis of brain white matter. The differences in the volume of white matter hyperintensity regions in subjects with three different cognitive states can help to better understand the mechanism of cognitive decline in clinical research.

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“…Cognitive and emotional rigidity or inflexibility are commonly observed characteristics of many mental illnesses [3,16,[30][31][32][33][34][35], specifically in clinical conditions that manifest in early life, such as Parkinson Disease (PD) and Anorexia Nervosa (AN). These traits have been extensively documented in the literature with numerous studies specifically examining their presence in PD [30,31,33,36,37] and AN [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Mental flexibility assessment: A research protocol for patients with Parkinson’s Disease and Anorexia Nervosa

Borghesi,

Mancuso,

Bruni

et al. 2023

PLoS ONE

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Mental Flexibility oscillates between adaptive variability in behavior and the capacity to restore homeostasis, linked to mental health. It has recently been one of the most investigated abilities in mental and neurological diseases such as Anorexia nervosa and Parkinson’s disease, studied for rigidity or cognitive inflexibility. Patients with anorexia nervosa have rigid cognitive processes about food and weight, which leads to restrictive eating and excessive exercise. People who struggle to adapt their cognitive processes and actions to change their diet and exercise habits may have a harder time recovering from the disorder. On the other hand, research suggests that Parkinson’s disease patients may have cognitive flexibility impairments that impair their ability to perform daily tasks and adapt to new environments. Although of clinical interest, mental flexibility lacks theoretical liberalization and unified assessment. This study introduces "IntellEGO" a protocol for a new, multidimensional psychometric assessment of flexibility. This assessment evaluates a person’s authentic ability to handle daily challenges using cognitive, emotional, and behavioral factors. Since traditional assessments often focus on one domain, we aim to examine flexibility from multiple angles, acknowledging the importance of viewing people as whole beings with mental and physical aspects. The study protocol includes two assessment phases separated by a rehabilitation period. T0, the acute phase upon admission, and T1, the post-rehabilitation phase lasting 15 days for Parkinson’s patients and 4 weeks for eating disorder patients, will be assessed. Neuropsychological performance, self-report questionnaires, psychophysiological measures, and neuroendocrine measures will be collected from Anorexia Nervosa and Parkinson’s Disease patients during each study phase. The objective of this procedure is to provide clinicians with a comprehensive framework for conducting meticulous assessments of mental flexibility. This framework considers emotional, cognitive, and behavioral factors, and is applicable to various patient populations.

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Distinct Relationship Between Cognitive Flexibility and White Matter Integrity in Individuals at Risk of Parkinson’s Disease

Cited by 4 publications

References 61 publications

Outlining a novel psychometric model of mental flexibility and affect dynamics

Outlining a novel psychometric model of mental flexibility and affect dynamics

Automatic segmentation of white matter hyperintensities and correlation analysis for cerebral small vessel disease

Mental flexibility assessment: A research protocol for patients with Parkinson’s Disease and Anorexia Nervosa

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