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Momi D, Neri F, Coiro G, Smeralda C, Veniero D, Sprugnoli G, Rossi A, Pascual-Leone A, Rossi S, Santarnecchi E. Cognitive Enhancement via Network-Targeted Cortico-cortical Associative Brain Stimulation. Cereb Cortex 2020; 30:1516-1527. [PMID: 31667497 PMCID: PMC7132941 DOI: 10.1093/cercor/bhz182] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 06/05/2019] [Accepted: 07/07/2019] [Indexed: 12/11/2022] Open
Abstract
Fluid intelligence (gf) represents a crucial component of human cognition, as it correlates with academic achievement, successful aging, and longevity. However, it has strong resilience against enhancement interventions, making the identification of gf enhancement approaches a key unmet goal of cognitive neuroscience. Here, we applied a spike-timing-dependent plasticity (STDP)-inducing brain stimulation protocol, named cortico-cortical paired associative stimulation (cc-PAS), to modulate gf in 29 healthy young subjects (13 females-mean ± standard deviation, 25.43 years ± 3.69), based on dual-coil transcranial magnetic stimulation (TMS). Pairs of neuronavigated TMS pulses (10-ms interval) were delivered over two frontoparietal nodes of the gf network, based on individual functional magnetic resonance imaging data and in accordance with cognitive models of information processing across the prefrontal and parietal lobe. cc-PAS enhanced accuracy at gf tasks, with parieto-frontal and fronto-parietal stimulation significantly increasing logical and relational reasoning, respectively. Results suggest the possibility of using SPTD-inducing TMS protocols to causally validate cognitive models by selectively engaging relevant networks and manipulating inter-regional temporal dynamics supporting specific cognitive functions.
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Affiliation(s)
- D Momi
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - F Neri
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - G Coiro
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - C Smeralda
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - D Veniero
- Institute of Neuroscience and Psychology, University of Glasgow, G12 8QQ Glasgow, UK
| | - G Sprugnoli
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - A Rossi
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
| | - A Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - S Rossi
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
- Human Physiology Section, Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - E Santarnecchi
- Brain Investigation and Neuromodulation Laboratory, Department of Medicine, Surgery and Neuroscience, Siena School of Medicine, 53100 Siena, Italy
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
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Pahor A, Stavropoulos T, Jaeggi SM, Seitz AR. Validation of a matrix reasoning task for mobile devices. Behav Res Methods 2019; 51:2256-2267. [PMID: 30367386 PMCID: PMC6486467 DOI: 10.3758/s13428-018-1152-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Many cognitive tasks have been adapted for tablet-based testing, but tests to assess nonverbal reasoning ability, as measured by matrix-type problems that are suited to repeated testing, have yet to be adapted for and validated on mobile platforms. Drawing on previous research, we developed the University of California Matrix Reasoning Task (UCMRT)-a short, user-friendly measure of abstract problem solving with three alternate forms that works on tablets and other mobile devices and that is targeted at a high-ability population frequently used in the literature (i.e., college students). To test the psychometric properties of UCMRT, a large sample of healthy young adults completed parallel forms of the test, and a subsample also completed Raven's Advanced Progressive Matrices and a math test; furthermore, we collected college records of academic ability and achievement. These data show that UCMRT is reliable and has adequate convergent and external validity. UCMRT is self-administrable, freely available for researchers, facilitates repeated testing of fluid intelligence, and resolves numerous limitations of existing matrix tests.
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Affiliation(s)
- Anja Pahor
- University of California, Riverside, CA, USA.
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Abstract
OBJECTIVE Despite widespread use, there is little data investigating the long-term impact of micronutrients on psychiatric disorders. This study investigated the naturalistic outcome 1-year post-baseline of a randomized controlled trials (RCT) that compared micronutrients with placebo in 80 adults with ADHD. METHOD All participants were contacted and clinician-rated questionnaires completed. RESULTS A total of 72 (90%) of the sample participated; although there was significant regression in psychiatric functioning from the end-of-trial on all measures, outcomes remained significantly improved from baseline. Dominant treatment from the end-of-treatment to follow-up was investigated as a mediator of outcome; those staying on the micronutrients performed better than those who switched to medications or discontinued micronutrients. Cost was the most substantial reason why people stopped micronutrient treatment. CONCLUSION For the small number of participants who stayed on micronutrients, the benefits conferred through the controlled trial were maintained. The results are limited by small sample, lack of blinding, expectation, and reliance on self-report of symptoms.
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Affiliation(s)
| | | | | | - Anna Boggis
- 3 Canterbury District Health Board, Christchurch, New Zealand
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Rindermann H, Pichelmann S. Future Cognitive Ability: US IQ Prediction until 2060 Based on NAEP. PLoS One 2015; 10:e0138412. [PMID: 26460731 PMCID: PMC4603674 DOI: 10.1371/journal.pone.0138412] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 08/28/2015] [Indexed: 11/19/2022] Open
Abstract
The US National Assessment of Educational Progress (NAEP) measures cognitive competences in reading and mathematics of US students (last 2012 survey N = 50,000). The long-term development based on results from 1971 to 2012 allows a prediction of future cognitive trends. For predicting US averages also demographic trends have to be considered. The largest groups' (White) average of 1978/80 was set at M = 100 and SD = 15 and was used as a benchmark. Based on two past NAEP development periods for 17-year-old students, 1978/80 to 2012 (more optimistic) and 1992 to 2012 (more pessimistic), and demographic projections from the US Census Bureau, cognitive trends until 2060 for the entire age cohort and ethnic groups were estimated. Estimated population averages for 2060 are 103 (optimistic) or 102 (pessimistic). The average rise per decade is dec = 0.76 or 0.45 IQ points. White-Black and White-Hispanic gaps are declining by half, Asian-White gaps treble. The catch-up of minorities (their faster ability growth) contributes around 2 IQ to the general rise of 3 IQ; however, their larger demographic increase reduces the general rise at about the similar amount (-1.4 IQ). Because minorities with faster ability growth also rise in their population proportion the interactive term is positive (around 1 IQ). Consequences for economic and societal development are discussed.
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Affiliation(s)
- Heiner Rindermann
- Department of Psychology, Technische Universität Chemnitz, Chemnitz, Germany
| | - Stefan Pichelmann
- Department of Psychology, Technische Universität Chemnitz, Chemnitz, Germany
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The effects of theta transcranial alternating current stimulation (tACS) on fluid intelligence. Int J Psychophysiol 2014; 93:322-31. [PMID: 24998643 DOI: 10.1016/j.ijpsycho.2014.06.015] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Revised: 06/05/2014] [Accepted: 06/27/2014] [Indexed: 11/22/2022]
Abstract
The objective of the study was to explore the influence of transcranial alternating current stimulation (tACS) on resting brain activity and on measures of fluid intelligence. Theta tACS was applied to the left parietal and left frontal brain areas of healthy participants after which resting electroencephalogram (EEG) data was recorded. Following sham/active stimulation, the participants solved two tests of fluid intelligence while their EEG was recorded. The results showed that active theta tACS affected spectral power in theta and alpha frequency bands. In addition, active theta tACS improved performance on tests of fluid intelligence. This influence was more pronounced in the group of participants that received stimulation to the left parietal area than in the group of participants that received stimulation to the left frontal area. Left parietal tACS increased performance on the difficult test items of both tests (RAPM and PF&C) whereas left frontal tACS increased performance only on the easy test items of one test (RAPM). The observed behavioral tACS influences were also accompanied by changes in neuroelectric activity. The behavioral and neuroelectric data tentatively support the P-FIT neurobiological model of intelligence.
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