Network neuropsychology: The map and the territory

Ferguson, Cameron

doi:10.1016/j.neubiorev.2021.11.024

Cited by 14 publications

(15 citation statements)

References 79 publications

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“… 45 , 46 In fact, it is possible to include chronic health status as a network measure, 47 and this would allow for new lines of research into comorbid clinical manifestations related to other psychological aspects. 25 , 48 , 49 The simultaneous application of various clinical measures in the network model may favor a comprehensive assessment of depressive symptomatology as a risk factor for mental and physical health. 47 …”

Section: Discussionmentioning

confidence: 99%

Network Analysis of Depressive Symptomatology in Underweight and Obese Adults

Ramos-Vera

Serpa

Saldarriaga

et al. 2022

J Prim Care Community Health

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Background: Depressive symptoms can affect people’s quality of life and social environment. In addition, in severe situations, they can lead to suicidal behaviors. Objective: This study aimed to analyze the differences in depressive symptoms in underweight and obese Peruvian adults. Methods: A cross-sectional study was carried out based on secondary data obtained from the Instituto Nacional de Estadística e Informática (INEI), Lima, Peru. A sample of 10 053 participants was considered, of which 55.96% were women. Two Gaussian plot models were estimated and the levels of depressive symptomatology were compared between the 2 groups (adults with underweight and obese). Results: A total of 1510 (15.02%) were underweight adults and 8543 (84.98%) were obese adults. There were differences in the reporting of depressive symptoms in the underweight group; the most central items were “Depressed mood” (PH2), “Tiredness/low energy” (PH4), and “Psychomotor difficulties” (PH8). Conclusion: This study provides new evidence on the dynamic relationship between depressive symptoms according to the body mass index categories (underweight and obese) assessed.

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Section: Discussionmentioning

confidence: 99%

Network Analysis of Depressive Symptomatology in Underweight and Obese Adults

Ramos-Vera

Serpa

Saldarriaga

et al. 2022

J Prim Care Community Health

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“…However, network analysis may lead to a change in the current epistemological and methodological approach to psychological phenomena so that this complexity can be effectively assessed [115,116]. Network analysis is unlikely to be one of the best innovations in the field of studying psychological phenomena and problems remain to be solved [28,96,[117][118][119][120][121][122], but we believe that the presented discussion highlights positive expectations for the future. et al Data-driven analysis shows robust links between fatigue and depression in early multiple sclerosis.…”

Section: Discussionmentioning

confidence: 97%

“…However, the observed results have been promising and consolidation of the field will show how important this new line of research can be [24,41]. On the other hand, although the network approach is not, after all, the most suitable for the study of psychopathology and psychological constructs in general, the exemplified applications, especially those involving variables external to psychological symptoms, are important for the promotion of new hypotheses in the neuropsychological field [95][96][97], in the face of the inclusion of new network centrality metrics that allow the identification of different structural features following the systemic grouping of transdiagnostic variables in network models [98][99][100], including longitudinal data to assess how the network is organized over time [101].…”

Section: Discussionmentioning

confidence: 98%

Psychometric Networks and Their Implications for the Treatment and Diagnosis of Psychopathologies

Ramos-Vera¹,

Franco²,

Saldarriaga³

et al. 2023

Psychometrics - New Insights in the Diagnosis of Mental Disorders

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In this chapter, we present the main methodological principles of psychological networks as a way of conceptualizing mental disorders. In the network approach, mental disorders are conceptualized as the consequence of direct interactions between symptoms, which may involve biological, psychological, and social mechanisms. If these cause-and-effect relationships are strong enough, symptoms can generate a degree of feedback to sustain them. It is discussed how such an approach contrasts with the traditional psychometric approach, known as the Latent Variable Theory, which assumes that disorders are constructs that exist but are not directly observable. Furthermore, it is also discussed how new neuropsychological hypotheses have been derived in the network approach and how such hypotheses generate direct implications for the understanding of diagnosis and treatment of psychological disorders. Finally, the recentness of the network approach in psychology and how future studies can establish its robustness are discussed.

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“…This point is illustrated by the directive that, for diseases such as MS and mTBI, the standard administration of cognitive assessments is to be conducted in "quiet", "sterile" environments "without distractions" (126, 127). Recent reviews of neuropsychological testing have suggested a transition from a reductionistic approach (e.g., focusing on strict association between localized brain pathology and cognition, and assessing within a decontextualized environments) to a more inclusive, real-world approach (128,129) that accounts for naturalistic multimodal sensory processing (130,131). Such strategies would enhance the early detection of both the initial pathological alternations in sensory processing, and the additional multimodal sensory flooding effect on cognition, and are likely to disclose more subtle cognitive loss, especially in early disease stages when prompt treatment may lead to better outcomes (132).…”

Section: Discussionmentioning

confidence: 99%

Multisensory integration and white matter pathology: Contributions to cognitive dysfunction

Hebert

Filley

2022

Front. Neurol.

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The ability to simultaneously process and integrate multiple sensory stimuli is paramount to effective daily function and essential for normal cognition. Multisensory management depends critically on the interplay between bottom-up and top-down processing of sensory information, with white matter (WM) tracts acting as the conduit between cortical and subcortical gray matter (GM) regions. White matter tracts and GM structures operate in concert to manage both multisensory signals and cognition. Altered sensory processing leads to difficulties in reweighting and modulating multisensory input during various routine environmental challenges, and thus contributes to cognitive dysfunction. To examine the specific role of WM in altered sensory processing and cognitive dysfunction, this review focuses on two neurologic disorders with diffuse WM pathology, multiple sclerosis and mild traumatic brain injury, in which persistently altered sensory processing and cognitive impairment are common. In these disorders, cognitive dysfunction in association with altered sensory processing may develop initially from slowed signaling in WM tracts and, in some cases, GM pathology secondary to WM disruption, but also because of interference with cognitive function by the added burden of managing concurrent multimodal primary sensory signals. These insights promise to inform research in the neuroimaging, clinical assessment, and treatment of WM disorders, and the investigation of WM-behavior relationships.

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Network neuropsychology: The map and the territory

Cited by 14 publications

References 79 publications

Network Analysis of Depressive Symptomatology in Underweight and Obese Adults

Network Analysis of Depressive Symptomatology in Underweight and Obese Adults

Psychometric Networks and Their Implications for the Treatment and Diagnosis of Psychopathologies

Multisensory integration and white matter pathology: Contributions to cognitive dysfunction

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