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Maurer-Karattup P, Neumann O, Danneil W, Thöne-Otto AIT. Leitlinienbasierte Standards zur Struktur- und Prozessqualität neuropsychologischer Diagnostik und Therapie. ZEITSCHRIFT FÜR NEUROPSYCHOLOGIE 2022. [DOI: 10.1024/1016-264x/a000362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Zusammenfassung: Die vorliegende Arbeit untersucht die aktuelle wissenschaftliche Evidenz zur Diagnostik und Therapie neuropsychologischer Störungen nach Hirnschädigung, wie sie bis 2020 in Leitlinien publiziert wurde. Deren Umsetzung ist nur möglich, wenn die institutionellen Rahmenbedingungen dies erlauben. Unter Einbezug der klinischen Erfahrung wurden daher auf Basis der Leitlinien Standards für eine wissenschaftlich fundierte neuropsychologische Diagnostik und Therapie erarbeitet. Es entstanden Best-Practice-Empfehlungen zu Struktur- und Prozessqualität, insbesondere zu Intensität und Häufigkeit der Interventionen. Diese werden für die wichtigsten neuropsychologischen Funktionsbereiche vorgestellt. Sowohl die Deutsche Gesellschaft für Neuropsychologie e. V. (GNP) als auch die Deutsche Gesellschaft für Neurologie e. V. (DGN) unterstützen diese Empfehlungen. Sie richten sich an Neuropsycholog_innen sowie an Einrichtungsleitende und Sozialversicherungsträger und definieren die Rahmenbedingungen für eine auf den individuellen Fall angepasste leitliniengerechte neuropsychologische Behandlung.
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Affiliation(s)
| | | | - Wolfgang Danneil
- Waldklinik Jesteburg & Neuropsychologische Praxis Nordheide, Jesteburg, Deutschland
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Pedrotty M, Wong TS, Wilde EA, Bigler ED, Laatsch LK. Application of neuropsychology and imaging to brain injury and use of the integrative cognitive rehabilitation psychotherapy model. NeuroRehabilitation 2021; 49:307-327. [PMID: 34420990 DOI: 10.3233/nre-218028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND An early approach to cognitive rehabilitation therapy (CRT) was developed based on A. R. Luria's theory of brain function. Expanding upon this approach, the Integrative Cognitive Rehabilitation Psychotherapy model (ICRP) was advanced. OBJECTIVE To describe the ICRP approach to treatment of clients post brain injury and provide a comprehensive list of evaluation tools to determine the client's abilities and needs. Finally, to provide a link between CRT and functional imaging studies designed to improve rehabilitation efforts. METHODS History of cognitive rehabilitation and neuropsychological testing is reviewed and description of cognitive, academic, psychiatric, and substance abuse tools are provided. Cognitive and emotional treatment techniques are fully described. Additionally, a method of determining the client's stage of recovery and pertinent functional imaging studies is detailed. RESULTS Authors have been able to provide a set of tools and techniques to use in comprehensive treatment of clients with brain injury. CONCLUSIONS Inclusive treatment which is outlined in the ICRP model is optimal for the client's recovery and return to a full and satisfying life post brain injury. The model provides a framework for neuropsychologists to integrate issues that tend to co-occur in clients living with brain injury into a unified treatment plan.
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Affiliation(s)
- Mark Pedrotty
- Tingley Hospital Outpatient -UNM, Albuquerque, NM, USA
| | - Tiffanie S Wong
- Polytrauma Rehabilitation Center, Comprehensive Rehabilitation Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.,Stem Cognitive and Psychological Rehabilitation, Inc., Palo Alto, CA, USA
| | - Elisabeth A Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA.,George E. Wahlen Veterans' Affairs Medical Center, Salt Lake City, UT, USA
| | - Erin D Bigler
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA.,Psychology Department and Neuroscience Center, Brigham Young University, Provo, UT, USA
| | - Linda K Laatsch
- Department of Neurology, University of Illinois, Chicago, IL, USA
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Costa SL, Dapor C, Weber E, DeLuca J, Chiaravalloti ND. Comparing learning performance on the open trial selective reminding test with the California verbal learning test II in traumatic brain injury. Brain Inj 2019; 34:245-252. [PMID: 31680557 DOI: 10.1080/02699052.2019.1686772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction: Learning and memory deficits are prevalent following moderate to severe traumatic brain injury (TBI), affecting between 54% and 84% of impacted individuals.Objective: The current study examined learning performance on two tests of verbal memory: the OT-SRT and the CVLT-II.Methods: Sixty-eight participants with TBI performed the OT-SRT and the CVLT-II on two different days. Additionally, all participants completed cognitive tests assessing processing speed, working memory and executive functions. By definition, all participants with TBI were identified as having impaired learning on the OT-SRT, however only 38 were also identified as impaired on the CVLT-II. The sample was thus divided into two groups, those who failed both tests (Fail-2) and those who failed only the OT-SRT (Fail-1).Results: The Failed-1 group showed significantly better performance in processing speed, working memory and executive functions compared to the Fail-2 group. On the CVLT-II, the Fail-1 group performed significantly better on the number of words recalled on trials 1 and 5 compared to the Fail-2 group. Both groups performed similarly the OT-SRT.Discussion: The CVLT-II and the OT-SRT are not equivalent tests and should not be used interchangeably.
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Affiliation(s)
- Silvana L Costa
- Neuropsychology and Neuroscience Lab, Kessler Foundation, East Hanover, NJ, USA.,Department of Physical Medicine & Rehabilitation, Rutgers the State University, Newark, NJ, USA
| | - Caterina Dapor
- Neurology Section, Department of Neuroscience, Biomedicine and Movements Sciences, University of Verona, Verona, Italy
| | - Erica Weber
- Neuropsychology and Neuroscience Lab, Kessler Foundation, East Hanover, NJ, USA.,Department of Physical Medicine & Rehabilitation, Rutgers the State University, Newark, NJ, USA
| | - John DeLuca
- Neuropsychology and Neuroscience Lab, Kessler Foundation, East Hanover, NJ, USA.,Department of Physical Medicine & Rehabilitation, Rutgers the State University, Newark, NJ, USA
| | - Nancy D Chiaravalloti
- Neuropsychology and Neuroscience Lab, Kessler Foundation, East Hanover, NJ, USA.,Department of Physical Medicine & Rehabilitation, Rutgers the State University, Newark, NJ, USA
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Chung S, Wang X, Fieremans E, Rath JF, Amorapanth P, Foo FYA, Morton CJ, Novikov DS, Flanagan SR, Lui YW. Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury. AJNR Am J Neuroradiol 2019; 40:1438-1444. [PMID: 31371359 DOI: 10.3174/ajnr.a6146] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 06/19/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND PURPOSE Working memory impairment is one of the most troubling and persistent symptoms after mild traumatic brain injury (MTBI). Here we investigate how working memory deficits relate to detectable WM microstructural injuries to discover robust biomarkers that allow early identification of patients with MTBI at the highest risk of working memory impairment. MATERIALS AND METHODS Multi-shell diffusion MR imaging was performed on a 3T scanner with 5 b-values. Diffusion metrics of fractional anisotropy, diffusivity and kurtosis (mean, radial, axial), and WM tract integrity were calculated. Auditory-verbal working memory was assessed using the Wechsler Adult Intelligence Scale, 4th ed, subtests: 1) Digit Span including Forward, Backward, and Sequencing; and 2) Letter-Number Sequencing. We studied 19 patients with MTBI within 4 weeks of injury and 20 healthy controls. Tract-Based Spatial Statistics and ROI analyses were performed to reveal possible correlations between diffusion metrics and working memory performance, with age and sex as covariates. RESULTS ROI analysis found a significant positive correlation between axial kurtosis and Digit Span Backward in MTBI (Pearson r = 0.69, corrected P = .04), mainly present in the right superior longitudinal fasciculus, which was not observed in healthy controls. Patients with MTBI also appeared to lose the normal associations typically seen in fractional anisotropy and axonal water fraction with Letter-Number Sequencing. Tract-Based Spatial Statistics results also support our findings. CONCLUSIONS Differences between patients with MTBI and healthy controls with regard to the relationship between microstructure measures and working memory performance may relate to known axonal perturbations occurring after injury.
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Affiliation(s)
- S Chung
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
| | - X Wang
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
| | - E Fieremans
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
| | - J F Rath
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University School of Medicine, New York, New York
| | - P Amorapanth
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University School of Medicine, New York, New York
| | - F-Y A Foo
- Department of Neurology (F.-Y.A.F.), New York University Langone Health, New York, New York
| | - C J Morton
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
| | - D S Novikov
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
| | - S R Flanagan
- Department of Rehabilitation Medicine (J.F.R., P.A., S.R.F.), New York University School of Medicine, New York, New York
| | - Y W Lui
- From the Center for Advanced Imaging Innovation and Research & Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology (S.C., X.W., E.F., C.J.M., D.S.N., Y.W.L.)
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Sandry J, Zuppichini M, Rothberg J, Valdespino-Hayden Z, DeLuca J. Poor Encoding and Weak Early Consolidation Underlie Memory Acquisition Deficits in Multiple Sclerosis: Retroactive Interference, Processing Speed, or Working Memory? Arch Clin Neuropsychol 2018; 34:162-182. [DOI: 10.1093/arclin/acy029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 03/13/2018] [Indexed: 12/23/2022] Open
Affiliation(s)
- Joshua Sandry
- Psychology Department, Montclair State University, 1 Normal Ave Montclair, NJ, USA
| | - Mark Zuppichini
- School of Behavioral & Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Jessica Rothberg
- Psychology Department, Montclair State University, 1 Normal Ave Montclair, NJ, USA
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Costa SL, DeLuca J, Costanza K, Chiaravalloti ND. Comparing the Open Trial – Selective Reminding Test results with the California Learning Verbal Test II in multiple sclerosis. APPLIED NEUROPSYCHOLOGY-ADULT 2018; 26:488-496. [PMID: 29617157 DOI: 10.1080/23279095.2018.1448818] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Silvana L. Costa
- Kessler Foundation, Neuropsychology and Neuroscience, West Orange, New Jersey, USA
- Kessler Foundation Research Center, West Orange, New Jersey, USA
| | - John DeLuca
- Kessler Foundation, Neuropsychology and Neuroscience, West Orange, New Jersey, USA
- Kessler Foundation Research Center, West Orange, New Jersey, USA
- University of Medicine and Dentistry of New Jersey, Newark, New Jersey, USA
| | - Kristen Costanza
- Kessler Foundation, Neuropsychology and Neuroscience, West Orange, New Jersey, USA
| | - Nancy D. Chiaravalloti
- Kessler Foundation, Neuropsychology and Neuroscience, West Orange, New Jersey, USA
- Kessler Foundation Research Center, West Orange, New Jersey, USA
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Chung S, Fieremans E, Kucukboyaci NE, Wang X, Morton CJ, Novikov DS, Rath JF, Lui YW. Working Memory And Brain Tissue Microstructure: White Matter Tract Integrity Based On Multi-Shell Diffusion MRI. Sci Rep 2018; 8:3175. [PMID: 29453439 PMCID: PMC5816650 DOI: 10.1038/s41598-018-21428-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 02/05/2018] [Indexed: 11/30/2022] Open
Abstract
Working memory is a complex cognitive process at the intersection of sensory processing, learning, and short-term memory and also has a general executive attention component. Impaired working memory is associated with a range of neurological and psychiatric disorders, but very little is known about how working memory relates to underlying white matter (WM) microstructure. In this study, we investigate the association between WM microstructure and performance on working memory tasks in healthy adults (right-handed, native English speakers). We combine compartment specific WM tract integrity (WMTI) metrics derived from multi-shell diffusion MRI as well as diffusion tensor/kurtosis imaging (DTI/DKI) metrics with Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) subtests tapping auditory working memory. WMTI is a novel tool that helps us describe the microstructural characteristics in both the intra- and extra-axonal environments of WM such as axonal water fraction (AWF), intra-axonal diffusivity, extra-axonal axial and radial diffusivities, allowing a more biophysical interpretation of WM changes. We demonstrate significant positive correlations between AWF and letter-number sequencing (LNS), suggesting that higher AWF with better performance on complex, more demanding auditory working memory tasks goes along with greater axonal volume and greater myelination in specific regions, causing efficient and faster information process.
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Affiliation(s)
- Sohae Chung
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA
| | - Els Fieremans
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA
| | | | - Xiuyuan Wang
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA
| | - Charles J Morton
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA
| | - Dmitry S Novikov
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA
| | - Joseph F Rath
- Department of Rehabilitation Medicine, New York University School of Medicine, New York, NY, 10016, USA
| | - Yvonne W Lui
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, USA.
- Department of Radiology, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, 10016, USA.
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