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Zovetti N, Bellani M, Chowdury A, Alessandrini F, Zoccatelli G, Perlini C, Ricciardi GK, Marzi CA, Diwadkar VA, Brambilla P. Inefficient white matter activity in Schizophrenia evoked during intra and inter-hemispheric communication. Transl Psychiatry 2022; 12:449. [PMID: 36244980 PMCID: PMC9573867 DOI: 10.1038/s41398-022-02200-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 11/23/2022] Open
Abstract
Intensive cognitive tasks induce inefficient regional and network responses in schizophrenia (SCZ). fMRI-based studies have naturally focused on gray matter, but appropriately titrated visuo-motor integration tasks reliably activate inter- and intra-hemispheric white matter pathways. Such tasks can assess network inefficiency without demanding intensive cognitive effort. Here, we provide the first application of this framework to the study of white matter functional responses in SCZ. Event-related fMRI data were acquired from 28 patients (nine females, mean age 43.3, ±11.7) and 28 age- and gender-comparable controls (nine females, mean age 42.1 ± 10.1), using the Poffenberger paradigm, a rapid visual detection task used to induce intra- (ipsi-lateral visual and motor cortex) or inter-hemispheric (contra-lateral visual and motor cortex) transfer. fMRI data were pre- and post-processed to reliably isolate activations in white matter, using probabilistic tractography-based white matter tracts. For intra- and inter-hemispheric transfer conditions, SCZ evinced hyper-activations in longitudinal and transverse white matter tracts, with hyper-activation in sub-regions of the corpus callosum primarily observed during inter-hemispheric transfer. Evidence for the functional inefficiency of white matter was observed in conjunction with small (~50 ms) but significant increases in response times. Functional inefficiencies in SCZ are (1) observable in white matter, with the degree of inefficiency contextually related to task-conditions, and (2) are evoked by simple detection tasks without intense cognitive processing. These cumulative results while expanding our understanding of this dys-connection syndrome, also extend the search of biomarkers beyond the traditional realm of fMRI studies of gray matter.
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Affiliation(s)
- Niccolò Zovetti
- grid.5611.30000 0004 1763 1124Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
| | - Asadur Chowdury
- grid.254444.70000 0001 1456 7807Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, MI USA
| | - Franco Alessandrini
- grid.411475.20000 0004 1756 948XNeuroradiology Department, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Giada Zoccatelli
- grid.411475.20000 0004 1756 948XNeuroradiology Department, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Cinzia Perlini
- grid.5611.30000 0004 1763 1124Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Giuseppe K. Ricciardi
- Pathology and Diagnostics, Section of Neuroradiology, Hospital Trust Verona, Verona, Italy
| | - Carlo A. Marzi
- grid.5611.30000 0004 1763 1124Physiology and Psychology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy ,National Institute of Neuroscience, Verona, Italy
| | - Vaibhav A. Diwadkar
- grid.254444.70000 0001 1456 7807Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, MI USA
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. .,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
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Shen Q, Liu Y, Guo J, Zhang H, Xiang Y, Liao H, Cai S, Zhou B, Wang M, Liu S, Yi J, Zhang Z, Tan C. Impaired white matter microstructure associated with severe depressive symptoms in patients with PD. Brain Imaging Behav 2021; 16:169-175. [PMID: 34410611 DOI: 10.1007/s11682-021-00488-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2021] [Indexed: 11/29/2022]
Abstract
Depression is a common occurrence in patients with Parkinson's disease (PD); however, its pathophysiology is still unclear. This study assessed the association between the integrity of white matter and depressive symptoms in patients with PD. 67 patients with PD were divided into a non-depressed PD group (ndPD, n = 30) and a depressed PD group (dPD, n = 37). The dPD group was further subdivided into a mild-moderately depressed PD (mdPD, n = 22) and a severely depressed PD group (sdPD, n = 15). Tract-Based Spatial Statistics was used to compare fractional anisotropy (FA) between groups. Region-of-interest analysis was used to explore changes in diffusivity indices in the regions showing FA abnormalities. The sdPD patients exhibited significantly reduced FA in the left superior longitudinal fasciculus, uncinate fasciculus, anterior corona radiata, corticospinal tract, and bilateral inferior fronto-occipital fasciculus when compared with the ndPD patients, but the decreased FA was within a smaller area when compared with the mdPD patients. No significant difference in FA was found between the mdPD and ndPD groups. Among the dPD patients, FA values in the left superior longitudinal fasciculus negatively correlated with BDI scores. Impaired white matter integrity in the prefronto-limbic/temporal circuitry, mainly in the left hemisphere, is associated with severe, but not mild-moderate depressive symptoms in patients with PD.
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Affiliation(s)
- Qin Shen
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Yawu Liu
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Jie Guo
- National Institution of Drug Clinical Trial, Xiangya Hospital, Central South University, Changsha, China
| | - Hongchun Zhang
- Department of Radiology, the First Affiliated Hospital, University of Science and Technology of China, Hefei, China
| | - Yijuan Xiang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Haiyan Liao
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Sainan Cai
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Bing Zhou
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Min Wang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Siyu Liu
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Jinyao Yi
- Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Zishu Zhang
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China
| | - Changlian Tan
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139 Renmin Zhong Road, Changsha, 410011, Hunan, China.
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Salch A, Regalski A, Abdallah H, Suryadevara R, Catanzaro MJ, Diwadkar VA. From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data. PLoS One 2021; 16:e0255859. [PMID: 34383838 PMCID: PMC8360597 DOI: 10.1371/journal.pone.0255859] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 07/23/2021] [Indexed: 11/19/2022] Open
Abstract
fMRI is the preeminent method for collecting signals from the human brain in vivo, for using these signals in the service of functional discovery, and relating these discoveries to anatomical structure. Numerous computational and mathematical techniques have been deployed to extract information from the fMRI signal. Yet, the application of Topological Data Analyses (TDA) remain limited to certain sub-areas such as connectomics (that is, with summarized versions of fMRI data). While connectomics is a natural and important area of application of TDA, applications of TDA in the service of extracting structure from the (non-summarized) fMRI data itself are heretofore nonexistent. “Structure” within fMRI data is determined by dynamic fluctuations in spatially distributed signals over time, and TDA is well positioned to help researchers better characterize mass dynamics of the signal by rigorously capturing shape within it. To accurately motivate this idea, we a) survey an established method in TDA (“persistent homology”) to reveal and describe how complex structures can be extracted from data sets generally, and b) describe how persistent homology can be applied specifically to fMRI data. We provide explanations for some of the mathematical underpinnings of TDA (with expository figures), building ideas in the following sequence: a) fMRI researchers can and should use TDA to extract structure from their data; b) this extraction serves an important role in the endeavor of functional discovery, and c) TDA approaches can complement other established approaches toward fMRI analyses (for which we provide examples). We also provide detailed applications of TDA to fMRI data collected using established paradigms, and offer our software pipeline for readers interested in emulating our methods. This working overview is both an inter-disciplinary synthesis of ideas (to draw researchers in TDA and fMRI toward each other) and a detailed description of methods that can motivate collaborative research.
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Affiliation(s)
- Andrew Salch
- Department of Mathematics, Wayne State University, Detroit, Michigan, United States of America
- * E-mail: (AS); (AR); (HA)
| | - Adam Regalski
- Department of Mathematics, Wayne State University, Detroit, Michigan, United States of America
- * E-mail: (AS); (AR); (HA)
| | - Hassan Abdallah
- Department of Mathematics, Wayne State University, Detroit, Michigan, United States of America
- * E-mail: (AS); (AR); (HA)
| | - Raviteja Suryadevara
- Department of Mathematics, Wayne State University, Detroit, Michigan, United States of America
- Department of Psychiatry & Behavioral Neuroscience, Wayne State University, Detroit, Michigan, United States of America
| | - Michael J. Catanzaro
- Department of Mathematics, Iowa State University, Ames, Iowa, United States of America
| | - Vaibhav A. Diwadkar
- Department of Psychiatry & Behavioral Neuroscience, Wayne State University, Detroit, Michigan, United States of America
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Abnormal white matter functional connectivity density in antipsychotic-naive adolescents with schizophrenia. Clin Neurophysiol 2021; 132:1025-1032. [PMID: 33743297 DOI: 10.1016/j.clinph.2020.12.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 12/14/2020] [Accepted: 12/27/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVES This study aimed to assess the white matter (WM) functional hubs and abnormal functional connectivity pattern in adolescents with schizophrenia (AOS) and to explore the potential mechanisms. METHODS Based on resting-state fMRI data, we measured the WM functional connectivity density (FCD) at local- and long- ranges in 39 AOS and 31 healthy controls (HCs). Group comparison was conducted between the two groups. Spearman rank correlation analysis between the altered WM FCD and clinical PANSS scores was performed. RESULTS In the local scale, the functional hubs of the WM were mainly located in the corona radiata and cerebellum. Compared with HCs, AOS patients exhibited decreased FCD in the superior corona radiata. In the long-range, the functional hubs of the WM were mainly located in the external capsule and pons. AOS patients exhibited increased FCD in the cingulum but decreased FCD in the right dorsal raphe nuclei (DR). Furthermore, the aberrant long-range FCD in the right DR was inversely proportional to the clinical symptoms. CONCLUSION These findings indicated that the pathophysiology of schizophrenia may also lie in WM functional dysconnectivity. SIGNIFICANCE The current results provided initial evidence for the hypothesis of abnormal WM functional connectivity in schizophrenia.
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Meram TD, Chowdury A, Easter P, Attisha T, Kallabat E, Hanna GL, Arnold P, Rosenberg DR, Diwadkar VA. Evoking network profiles of the dorsal anterior cingulate in youth with Obsessive-Compulsive Disorder during motor control and working memory. J Psychiatr Res 2021; 132:72-83. [PMID: 33068817 PMCID: PMC9351617 DOI: 10.1016/j.jpsychires.2020.09.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/04/2020] [Accepted: 09/25/2020] [Indexed: 10/23/2022]
Abstract
Interest in the pathology of Obsessive-Compulsive Disorder\has focused on brain network profiles of the dorsal Anterior Cingulate Cortex (dACC), given its role as a principal control region. Both motor control and working memory tasks induce dysfunctional dACC profiles in OCD. H H We contrasted dACC network profiles in OCD and age-comparable controls during both tasks (from data collected in the same participants). The motor task required participants to tap their right forefinger in response to a flashing white probe; the memory task was a standard n-back (2-Back) requiring participants to identify if a current stimulus was identical to the one presented two items before it in the sequence. Network interactions were modeled using Psychophysiological Interactions (PPI), a model of directional functional connectivity. Inter-group analyses indicated a) that the motor control task evoked greater dACC modulation than the working memory task, and b) that the modulatory effect was significantly greater in the OCD group. We also investigated the relationship between OCD symptom dimensions (lifetime obsession and lifetime compulsion measured using the CY-BOCS) and dACC network profiles in OCD. This analysis revealed a dichotomy between Obsessive-Compulsive symptom dimensions and the degree of dACC modulation: primarily increased obsessions predicted increased modulation during the motor control task, but primarily increased compulsions predicted increased modulation during the working memory task. These results re-emphasize the salience of the dACC in OCD, and the primacy of tasks of motor control in evoking dACC pathology in the disorder.
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Affiliation(s)
- Thomas D. Meram
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Asadur Chowdury
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Philip Easter
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Tyler Attisha
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Ellanya Kallabat
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Gregory L. Hanna
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, USA
| | - Paul Arnold
- Department of Psychiatry & Medical Genetics, University of Calgary, 3280 Hospital Dr NW, Calgary, AB T2N 4Z6, Canada
| | - David R. Rosenberg
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
| | - Vaibhav A. Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, 3901 Chrysler Service Dr Suite 5B, Tolan Park Medical Bldg, Detroit, MI 48201, USA
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Chettouf S, Rueda-Delgado LM, de Vries R, Ritter P, Daffertshofer A. Are unimanual movements bilateral? Neurosci Biobehav Rev 2020; 113:39-50. [DOI: 10.1016/j.neubiorev.2020.03.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/07/2020] [Accepted: 03/02/2020] [Indexed: 12/31/2022]
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Morris A, Ravishankar M, Pivetta L, Chowdury A, Falco D, Damoiseaux JS, Rosenberg DR, Bressler SL, Diwadkar VA. Response Hand and Motor Set Differentially Modulate the Connectivity of Brain Pathways During Simple Uni-manual Motor Behavior. Brain Topogr 2018; 31:985-1000. [PMID: 30032347 DOI: 10.1007/s10548-018-0664-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 07/17/2018] [Indexed: 01/02/2023]
Abstract
We investigated the flexible modulation of undirected functional connectivity (uFC) of brain pathways during simple uni-manual responding. Two questions were central to our interests: (1) does response hand (dominant vs. non-dominant) differentially modulate connectivity and (2) are these effects related to responding under varying motor sets. fMRI data were acquired in twenty right-handed volunteers who responded with their right (dominant) or left (non-dominant) hand (blocked across acquisitions). Within acquisitions, the task oscillated between periodic responses (promoting the emergence of motor sets) or randomly induced responses (disrupting the emergence of motor sets). Conjunction analyses revealed eight shared nodes across response hand and condition, time series from which were analyzed. For right hand responses connectivity of the M1 ←→ Thalamus and SMA ←→ Parietal pathways was more significantly modulated during periodic responding. By comparison, for left hand responses, connectivity between five network pairs (including M1 and SMA, insula, basal ganglia, premotor cortex, parietal cortex, thalamus) was more significantly modulated during random responding. uFC analyses were complemented by directed FC based on multivariate autoregressive models of times series from the nodes. These results were complementary and highlighted significant modulation of dFC for SMA → Thalamus, SMA → M1, basal ganglia → Insula and basal ganglia → Thalamus. The results demonstrate complex effects of motor organization and task demand and response hand on different connectivity classes of fMRI data. The brain's sub-networks are flexibly modulated by factors related to motor organization and/or task demand, and our results have implications for assessment of medical conditions associated with motor dysfunction.
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Affiliation(s)
- Alexandra Morris
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA
| | - Mathura Ravishankar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA
| | - Lena Pivetta
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA
| | - Asadur Chowdury
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA
| | - Dimitri Falco
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, USA
| | - Jessica S Damoiseaux
- Department of Psychology, Wayne State University, Detroit, USA.,Institute of Gerontology, Wayne State University, Detroit, USA
| | - David R Rosenberg
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA
| | - Steven L Bressler
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, USA
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Suite 5A, Tolan Park Medical Building, 3901 Chrysler Service Drive, Detroit, MI, 48201, USA.
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